## Qualifications
* The ideal candidate should have a Master’s degree in a quantitative field, a minimum of 8 years of experience in predictive modeling and data science, and an active TS-SCI clearance
## Responsibilities
* A technology solutions company in Florida is seeking a Senior AI/ML Data Scientist to develop and integrate advanced models for decision support
* This role involves building predictive models, providing advanced analytics solutions, and collaborating with stakeholders to enable effective decision-making

## Full Description
Position: Lead AI/ML Data Scientist for Logistics & Decision Support

A technology solutions company in Florida is seeking a Senior AI/ML Data Scientist to develop and integrate advanced models for decision support. The ideal candidate should have a Master’s degree in a quantitative field, a minimum of 8 years of experience in predictive modeling and data science, and an active TS-SCI clearance. This role involves building predictive models, providing advanced analytics solutions, and collaborating with stakeholders to enable effective decision-making.

#J-18808-Ljbffr



## Qualifications
* You have at least 4 years of professional experience in one or more of the following types of work
* The examples below reflect the types of real-world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high-quality AI models
* Document activities and record information, such as the numbers of applications completed, presentations conducted, and persons assisted
* Develop and present health education and promotion programs, such as training workshops, conferences, and school or community presentations
* Develop educational materials and programs for community agencies, local government, and state government
* You’re able to participate in asynchronous work in partnership with leading AI labs
* F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI
* If your school requires a CPT course, Handshake AI may not meet your school’s requirements
## Responsibilities
* In this program, you’ll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model’s understanding of your workplace tasks and language
* The hours are flexible, with no minimum commitment, but most average 5-20 hrs
* The work includes developing prompts for AI models that reflect your field, and then evaluating responses
* Prepare and distribute health education materials, such as reports, bulletins, and visual aids, to address smoking, vaccines, and other public health concerns
* Develop and maintain cooperative working relationships with agencies and organizations interested in public health care
* Maintain databases, mailing lists, telephone networks, and other information to facilitate the functioning of health education programs
* Collaborate with health specialists and civic groups to determine community health needs and the availability of services and to develop goals for meeting needs
* Develop, conduct, or coordinate health needs assessments and other public health surveys
* Supervise professional and technical staff in implementing health programs, objectives, and goals
* Develop operational plans and policies necessary to achieve health education objectives and services
* Provide program information to the public by preparing and presenting press releases, conducting media campaigns, or maintaining program-related Web sites
* Develop and maintain health education libraries to provide resources for staff and community agencies
* Design and conduct evaluations and diagnostic studies to assess the quality and performance of health education programs
* Develop, prepare, and coordinate grant applications and grant-related activities to obtain funding for health education programs and related work
* Provide guidance to agencies and organizations on assessment of health education needs and on development and delivery of health education programs
* Design and administer training programs for new employees and continuing education for existing employees
* Get matched and onboarded into relevant projects
* Start working and earning

## Full Description
Overview

Handshake is recruiting Health Education Specialist Professionals to contribute to an hourly, temporary AI research project—but there’s no AI experience needed. In this program, you’ll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model’s understanding of your workplace tasks and language. The Handshake AI opportunity runs year-round, with project opportunities opening periodically across different areas of expertise.

Details

• The position is remote and asynchronous; work independently from wherever you are.

• The hours are flexible, with no minimum commitment, but most average 5-20 hrs

• The work includes developing prompts for AI models that reflect your field, and then evaluating responses.

• You’ll learn new skills and contribute to how AI is used in your field

• Your placement into a project will be dependent on project availability—if you apply now and can’t work on this project, more will be available soon.

Qualifications

• You have at least 4 years of professional experience in one or more of the following types of work.

• The examples below reflect the types of real-world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high-quality AI models

• Prepare and distribute health education materials, such as reports, bulletins, and visual aids, to address smoking, vaccines, and other public health concerns.

• Develop and maintain cooperative working relationships with agencies and organizations interested in public health care.

• Maintain databases, mailing lists, telephone networks, and other information to facilitate the functioning of health education programs.

• Document activities and record information, such as the numbers of applications completed, presentations conducted, and persons assisted.

• Develop and present health education and promotion programs, such as training workshops, conferences, and school or community presentations.

• Collaborate with health specialists and civic groups to determine community health needs and the availability of services and to develop goals for meeting needs.

• Develop, conduct, or coordinate health needs assessments and other public health surveys.

• Supervise professional and technical staff in implementing health programs, objectives, and goals.

• Develop operational plans and policies necessary to achieve health education objectives and services.

• Provide program information to the public by preparing and presenting press releases, conducting media campaigns, or maintaining program-related Web sites.

• Develop and maintain health education libraries to provide resources for staff and community agencies.

• Design and conduct evaluations and diagnostic studies to assess the quality and performance of health education programs.

• Develop, prepare, and coordinate grant applications and grant-related activities to obtain funding for health education programs and related work.

• Provide guidance to agencies and organizations on assessment of health education needs and on development and delivery of health education programs.

• Design and administer training programs for new employees and continuing education for existing employees.

• Develop educational materials and programs for community agencies, local government, and state government.

• You’re able to participate in asynchronous work in partnership with leading AI labs.

Application Process

• Create a Handshake account

• Upload your resume and verify your identity

• Get matched and onboarded into relevant projects

• Start working and earning

Work authorization information

F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school’s requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.



## Qualifications
* The ideal candidate will have over 7 years of experience in product marketing with a proven track record of launching AI applications
* A leading technology company seeks to hire this role for innovative technologies that redefine human connection
* This includes product positioning sales enablement content creation launch planning execution
## Responsibilities
* This position requires strategies for new consumer AI products which involves coordinating all go-to-market efforts across multiple stakeholders;
* , each stakeholder must be informed about what they need do when so that everyone know who should doing thing then everything goes smoothly during process executing such big project especially one where changes occur rapidly due its nature being high tech field always evolving newest trends news latest gadgets etc..

## Full Description
Product Marketing Manager Devices GTM AI Glasses

The ideal candidate will have over 7 years of experience in product marketing with a proven track record of launching AI applications.

• A leading technology company seeks to hire this role for innovative technologies that redefine human connection.

• This position requires strategies for new consumer AI products which involves coordinating all go-to-market efforts across multiple stakeholders;

• This includes product positioning sales enablement content creation launch planning execution

, each stakeholder must be informed about what they need do when so that everyone know who should doing thing then everything goes smoothly during process executing such big project especially one where changes occur rapidly due its nature being high tech field always evolving newest trends news latest gadgets etc...




## Full Description
Job Description

Job Title: Generative AI Associate - Red Teaming (English)

Location: Fully Remote within the Canada (excluding Quebec)

Employment Type: Full Time, 1 Month Contract Role (Full Time, 40 hours weekly, for 4 weeks.)

Who We Are

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.

By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.

Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany. We’re poised for a period of explosive growth over the next few years.

About The Role

At Innodata, we’re working with the world’s largest technology companies on the next generation of generative AI and large language models (LLMs). We’re looking for smart, savvy, and curious Red Teaming Specialists to join our team.

This is the role that writers and hackers dream about: you’ll be challenging the next generation of LLMs to ensure their robustness and reliability. We’re testing generative AI to think critically and act safely, not just to generate content.

This isn’t just a job: it’s a once-in-a-lifetime opportunity to work on the frontlines of AI safety and security. There’s nothing more cutting-edge than this. Joining us means becoming an integral member of a global team dedicated to identifying vulnerabilities and improving the resilience of AI systems. You’ll be creatively crafting scenarios and prompts to test the limits of AI behavior, uncovering potential weaknesses and ensuring robust safeguards. You’ll be shaping the future of secure AI-powered platforms, pushing the boundaries of what’s possible. Keen to learn more?

What You’ll Be Doing

As a Red Teaming Specialist on our AI Large Language Models (LLMs) team, you will be joining a truly global team of subject matter experts across a wide variety of disciplines and will be entrusted with a range of responsibilities. We’re seeking self-motivated, clever, and creative specialists who can handle the speed required to be on the frontlines of AI security. In return, we’ll be training you in cutting-edge methods of identifying and addressing vulnerabilities in generative AI. Below are some responsibilities and tasks of our Red Teaming Specialist role:

• Complete extensive training on AI/ML, LLMs, Red Teaming, and jailbreaking, as well as specific project guidelines and requirements

• Craft clever and sneaky prompts to attempt to bypass the filters and guardrails on LLMs, targeting specific vulnerabilities defined by our clients

• Collaborating closely with language specialists, team leads, and QA leads to produce the best possible work

• Assist our data scientists to conduct automated model attacks

• Adapt to the dynamic needs of different projects and clients, navigating shifting guidelines and requirements

• Keep up with the evolving capabilities and vulnerabilities of LLMs and help your team’s methods evolve with them

• Hit productivity targets, including for number of prompts written and average handling time per prompt

Job requirements

Minimum Qualifications

• A Bachelor’s degree or Associates degree with minimum 1 year of relevant industry experience. Advanced degrees are strongly preferred (Master’s or PhD)

• Professional or Expert level proficiency (C1/C2) in English.

Strong understanding of grammar, syntax, and semantics – knowing what "proper” English rules are, as well as when to violate them to better test AI responses

Please note: As a Red Teaming Specialist, you’ll push the boundaries of large language models and seek to expose their vulnerabilities. In this work, you may be dealing with material that is toxic or NSFW. Innodata is committed to the health of its workforce and so provides wellness resources and mental health support.

Hourly Range: $20 an hour CAD

Hourly rates at Innodata vary depending on a wide array of factors, which may include but are not limited to the role, skill set, educational background and geographic location.

We are an equal opportunity employer committed to fostering an inclusive, respectful, and diverse workplace. We welcome and encourage applications from individuals of all backgrounds and are dedicated to employment equity and building a team that reflects the diverse communities in which we live and operate.

In accordance with the Accessibility for Ontarians with Disabilities Act (AODA), we are committed to providing accommodations throughout the recruitment and selection process. If you require an accommodation, please let us know, and we will work with you to meet your needs.

Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams.

If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov.




## Full Description
Position: Senior Data Engineer - AI Personalization & Real-Time Customer Data

Overview

The AI Products and Platform (AIPP) team builds the foundational capabilities that enable AI-driven personalization, decisioning, and real-time customer experiences work supports intelligent interactions across digital and assisted channels, helping ensure customers receive timely, relevant, and responsible experiences.

Responsibilities

• Build and operate real-time data pipelines that ingest customer events (payments, app behavior, IVR interactions) and power ML product decisions across channels.

• Develop event-driven architectures using GCP services (Pub/Sub, Dataflow, Cloud Run, Big Query) to support low-latency triggers and segmentation.

• Partner with Data Scientists and ML engineers to product ionize AIPP models (e.g., ML2), transforming model outputs into reliable, explainable data feeds.

• Translate business and marketing requirements into scalable data logic, including customer segments, eligibility rules, and offer mappings.

• Enable IVR and CCAI experiences by supporting data flows for intelligent routing, proactive messaging, and self-serve journeys.

• Support internal tools and future UI capabilities by providing clean datasets, schemas, and APIs for Software and Full Stack Engineers.

• Monitor, troubleshoot, and improve production pipelines, ensuring data quality, reliability, and observability during peak periods.

• Optimize for performance and cost, balancing streaming workloads, Big Query usage, and API integrations.

• Enable responsible AI practices through validation, lineage, and monitoring so personalization decisions remain transparent and trustworthy.

• Contribute to long-term architecture and standards, helping AIPP evolve into a steady-state personalization platform.

Qualifications

• 4+ years of experience in Data Engineering or backend data systems.

• Strong experience with Python and SQL in production environments.

• Hands‑on experience with GCP, especially Big Query and Pub/Sub.

• Experience designing and operating streaming or event‑driven pipelines.

• Understanding of data modeling, data quality, and pipeline reliability.

• Experience integrating data via APIs, including retries, rate limiting, and failure handling.

• Bachelor’s degree in Computer Science, Engineering, Data Systems, or a related technical field OR equivalent hands‑on industry experience building production‑grade data pipelines.

Nice to Have

• Experience with Adobe Experience Platform or other CDPs.

• Exposure to AI/ML feature pipelines or real‑time model scoring.

• Experience with Dataflow (Apache Beam), dbt, or Airflow/Composer.

• Familiarity with personalization or decisioning platforms (PEGA‑like concepts).

• Telecom or high‑volume consumer data experience.

Location:

Calgary, Alberta, Canada

Salary: CA$–CA$

#J-18808-Ljbffr



## Qualifications
* Bachelor's degree or equivalent practical experience
* 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript)
* 5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning)
* 3 years of experience in a technical leadership role
* 2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision)
* 2 years of experience in a people management or team leadership role
* Master's degree or PhD in Engineering, Computer Science, or a related technical field
* 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects
## Benefits
* The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits
* Our salary ranges are determined by role, level, and location
* Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training
* Your recruiter can share more about the specific salary range for your preferred location during the hiring process
* Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits
## Responsibilities
* You not only optimize your own code but make sure Engineers are able to optimize theirs
* As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team
* With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally
* Set and communicate team priorities that support the broader organization's goals
* Align strategy, processes, and decision-making across teams
* Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals
* Meet regularly with individuals to discuss performance and development and provide feedback and coaching
* Develop the mid-term technical vision and roadmap within the scope of your (often multiple) team(s)
* Evolve the roadmap to meet anticipated future requirements and infrastructure needs
* Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems

## Full Description
Note:

By applying to this position you will have an opportunity to share your preferred working location from the following: Raleigh, NC, USA; Durham, NC, USA

Minimum qualifications:

Bachelor's degree or equivalent practical experience.

8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

5 years of experience leading ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).

3 years of experience in a technical leadership role.

2 years of experience with state of the art GenAI techniques (e.g., LLMs, Multi-Modal, Large Vision Models) or with GenAI-related concepts (language modeling, computer vision).

2 years of experience in a people management or team leadership role.

Preferred qualifications:

Master's degree or PhD in Engineering, Computer Science, or a related technical field.

3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.

About The Job

Like Google's own ambitions, the work of a Software Engineer goes beyond just Search.

Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of Engineers.

You not only optimize your own code but make sure Engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team.

Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day.

Operating with scale and speed, our exceptional software engineers are just getting started and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

The AI and Infrastructure team is redefining what's possible.

We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity.

Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We're the driving force behind Google's groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future.

From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location.

Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits.

Learn more about benefits at Google .

Responsibilities

Set and communicate team priorities that support the broader organization's goals. Align strategy, processes, and decision-making across teams.

Set clear expectations with individuals based on their level and role and aligned to the broader organization's goals. Meet regularly with individuals to discuss performance and development and provide feedback and coaching.

Develop the mid-term technical vision and roadmap within the scope of your (often multiple) team(s). Evolve the roadmap to meet anticipated future requirements and infrastructure needs.

Design, guide and vet systems designs within the scope of the broader area, and write product or system development code to solve ambiguous problems.

Lead the design of GenAI solutions, optimize ML infrastructure, and guide the development of data preparation and model optimization strategies.

Google is proud to be an equal opportunity workplace and is an affirmative action employer.

We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law.

If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form .



## Qualifications
* You have at least 4 years of professional experience in one or more of the following types of work
* The examples below reflect the types of real-world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high-quality AI models
* Collaborate with other departments to integrate logistics with business systems such as sales, order management, accounting, and shipping
* Analyze corporate logistics operations to identify cost-effective and efficient transportation methods
* Interview, select, and train warehouse and supervisory personnel
* Plan and implement energy-saving transportation initiatives, such as route reduction, capacity optimization, alternate transport modes, and reduced idling
* Evaluate contractors and business partners for efficiency, safety, and environmental performance
* Develop or implement facility modification or expansion plans, including equipment purchases, space allocation, or structural changes
* Direct inbound and outbound operations, including transportation, warehouse activities, safety performance, and logistics quality management
* Direct the use of drones and autonomous vehicles for efficient delivery and inventory management
* Plan and implement improvements to internal and external systems or processes
* Recommend or authorize capital expenditures for new equipment or property to improve efficiency and services
* Review invoices, work orders, consumption reports, and demand forecasts to estimate peak periods and assign work
* You’re able to participate in asynchronous work in partnership with leading AI labs
* F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI
* If your school requires a CPT course, Handshake AI may not meet your school’s requirements
## Responsibilities
* In this program, you’ll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model’s understanding of your workplace tasks and language
* The hours are flexible, with no minimum commitment, but most average 5-20 hrs
* The work includes developing prompts for AI models that reflect your field, and then evaluating responses
* Supervise workers engaged in receiving, storing, testing, and shipping products or materials
* Plan, develop, and implement warehouse safety and security programs
* Inspect warehouses, vehicle fleets, and equipment, and order testing, maintenance, repairs, or replacements
* Plan, organize, and manage subordinate staff to ensure work meets organizational requirements
* Resolve issues related to transportation, logistics systems, imports or exports, or customer concerns
* Develop and document standard and emergency operating procedures for receiving, handling, storing, shipping, or salvaging materials
* Monitor operations to ensure compliance with administrative policies, safety rules, union contracts, environmental policies, and government regulations
* Analyze the financial impact of proposed logistics changes, including routing, shipping modes, volumes, and carriers
* Monitor inventory levels in warehouses
* Establish and monitor supply chain performance measurement systems
* Prepare and manage departmental budgets
* Monitor import and export processes to ensure regulatory and legal compliance
* Prepare management recommendations, such as proposed fee, tariff, or schedule changes
* Advise sales and billing departments on transportation charges for customer accounts
* Analyze expenditures and financial data to develop plans, policies, or budgets to improve profitability and services
* Confer with department heads to coordinate warehouse activities, including production, sales, records control, and purchasing
* Implement specific customer requirements, such as internal reporting or customized transportation metrics
* Maintain metrics, reports, process documentation, customer service logs, and training or safety records
* Review invoices and shipping manifests for compliance with tariff and customs regulations
* Negotiate with carriers, warehouse operators, and insurance representatives for services and favorable rates
* Get matched and onboarded into relevant projects

## Full Description
Overview

Handshake is recruiting Transportation, Storage, and Distribution Manager Professionals to contribute to an hourly, temporary AI research project—but there’s no AI experience needed. In this program, you’ll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model’s understanding of your workplace tasks and language. The Handshake AI opportunity runs year-round, with project opportunities opening periodically across different areas of expertise.

Details

• The position is remote and asynchronous; work independently from wherever you are.

• The hours are flexible, with no minimum commitment, but most average 5-20 hrs

• The work includes developing prompts for AI models that reflect your field, and then evaluating responses.

• You’ll learn new skills and contribute to how AI is used in your field

• Your placement into a project will be dependent on project availability—if you apply now and can’t work on this project, more will be available soon.

Qualifications

• You have at least 4 years of professional experience in one or more of the following types of work.

• The examples below reflect the types of real-world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high-quality AI models

• Supervise workers engaged in receiving, storing, testing, and shipping products or materials.

• Plan, develop, and implement warehouse safety and security programs.

• Inspect warehouses, vehicle fleets, and equipment, and order testing, maintenance, repairs, or replacements.

• Plan, organize, and manage subordinate staff to ensure work meets organizational requirements.

• Collaborate with other departments to integrate logistics with business systems such as sales, order management, accounting, and shipping.

• Analyze corporate logistics operations to identify cost-effective and efficient transportation methods.

• Resolve issues related to transportation, logistics systems, imports or exports, or customer concerns.

• Develop and document standard and emergency operating procedures for receiving, handling, storing, shipping, or salvaging materials.

• Monitor operations to ensure compliance with administrative policies, safety rules, union contracts, environmental policies, and government regulations.

• Analyze the financial impact of proposed logistics changes, including routing, shipping modes, volumes, and carriers.

• Monitor inventory levels in warehouses.

• Establish and monitor supply chain performance measurement systems.

• Prepare and manage departmental budgets.

• Monitor import and export processes to ensure regulatory and legal compliance.

• Prepare management recommendations, such as proposed fee, tariff, or schedule changes.

• Interview, select, and train warehouse and supervisory personnel.

• Advise sales and billing departments on transportation charges for customer accounts.

• Analyze expenditures and financial data to develop plans, policies, or budgets to improve profitability and services.

• Confer with department heads to coordinate warehouse activities, including production, sales, records control, and purchasing.

• Implement specific customer requirements, such as internal reporting or customized transportation metrics.

• Maintain metrics, reports, process documentation, customer service logs, and training or safety records.

• Review invoices and shipping manifests for compliance with tariff and customs regulations.

• Plan and implement energy-saving transportation initiatives, such as route reduction, capacity optimization, alternate transport modes, and reduced idling.

• Evaluate contractors and business partners for efficiency, safety, and environmental performance.

• Negotiate with carriers, warehouse operators, and insurance representatives for services and favorable rates.

• Develop or implement facility modification or expansion plans, including equipment purchases, space allocation, or structural changes.

• Direct inbound and outbound operations, including transportation, warehouse activities, safety performance, and logistics quality management.

• Direct the use of drones and autonomous vehicles for efficient delivery and inventory management.

• Plan and implement improvements to internal and external systems or processes.

• Recommend or authorize capital expenditures for new equipment or property to improve efficiency and services.

• Review invoices, work orders, consumption reports, and demand forecasts to estimate peak periods and assign work.

• You’re able to participate in asynchronous work in partnership with leading AI labs.

Application Process

• Create a Handshake account

• Upload your resume and verify your identity

• Get matched and onboarded into relevant projects

• Start working and earning

Work authorization information

F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school’s requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.



## Qualifications
* You have at least 4 years of professional experience in one or more of the following types of work
* The examples below reflect the types of real-world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high-quality AI models
* Submit design plans for approval and revise to align with creative intent, budget constraints, or fabrication limitations
* Design and construct scale models or miniatures for filming, backgrounds, or special effects
* Plan for location-specific considerations such as space constraints, traffic flow, and safety requirements
* Source or coordinate acquisition of specimens, props, or graphics required to complete exhibits
* Produce and supply supporting materials such as press kits, promotional assets, posters, brochures, catalogs, and invitations
* You’re able to participate in asynchronous work in partnership with leading AI labs
* F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI
* If your school requires a CPT course, Handshake AI may not meet your school’s requirements
## Responsibilities
* In this program, you’ll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model’s understanding of your workplace tasks and language
* The hours are flexible, with no minimum commitment, but most average 5-20 hrs
* The work includes developing prompts for AI models that reflect your field, and then evaluating responses
* Develop set designs based on evaluation of scripts, budgets, research, and available locations
* Prepare rough drafts and scale working drawings of sets including floor plans, scenery, and props
* Create preliminary renderings of proposed exhibits with construction details, layout, material specifications, and diagrams for elements such as lighting or special effects
* Review scripts to determine location, set, and design requirements
* Attend rehearsals and production meetings to share and gather set-related information
* Collaborate with clients and internal teams to define exhibit space requirements, themes, timelines, budgets, materials, and promotional needs
* Research architectural and stylistic elements appropriate to the depicted time period, consulting subject matter experts as needed
* Observe sets during rehearsals to ensure designs support performance requirements such as cast movement and camera angles
* Coordinate with lighting and sound teams to ensure production elements align with set designs or exhibit layouts
* Select set props including furniture, artwork, lighting, and decorative elements
* Review exhibit objects to determine optimal placement and display methods
* Assign and oversee staff responsible for sketches, illustrations, detailed drawings, graphics, or animations
* Inspect installed sets or exhibits to ensure conformance with specifications and proper operation of special-effects elements
* Estimate costs related to sets or exhibits including materials, construction, rentals, and locations
* Design and produce decorative displays and materials for windows, interior spaces, events, streets, or fairgrounds
* Direct and coordinate construction, installation, and decoration activities to meet design, budget, and schedule requirements
* Coordinate transportation and on-site installation of sets built off-site
* Collaborate with conservators to manage environmental factors such as lighting, temperature, and humidity to protect objects and enhance exhibits
* Select and purchase lumber, hardware, and materials required for construction
* Engage and manage external contractors for exhibit or set construction
* Integrate security systems into set and exhibit layouts
* Coordinate removal and teardown of sets, props, and exhibits following productions or events
* Get matched and onboarded into relevant projects

## Full Description
Overview

Handshake is recruiting Set and Exhibit Professionals to contribute to an hourly, temporary AI research project—but there’s no AI experience needed. In this program, you’ll leverage your professional experience to evaluate what AI models produce in your field, assess content related to your field of work, and deliver clear, structured feedback that strengthens the model’s understanding of your workplace tasks and language. The Handshake AI opportunity runs year-round, with project opportunities opening periodically across different areas of expertise.

Details

• The position is remote and asynchronous; work independently from wherever you are.

• The hours are flexible, with no minimum commitment, but most average 5-20 hrs

• The work includes developing prompts for AI models that reflect your field, and then evaluating responses.

• You’ll learn new skills and contribute to how AI is used in your field

• Your placement into a project will be dependent on project availability—if you apply now and can’t work on this project, more will be available soon.

Qualifications

• You have at least 4 years of professional experience in one or more of the following types of work.

• The examples below reflect the types of real-world responsibilities that you might have had in your role that will give you the context needed to evaluate and train high-quality AI models

• Develop set designs based on evaluation of scripts, budgets, research, and available locations

• Prepare rough drafts and scale working drawings of sets including floor plans, scenery, and props

• Create preliminary renderings of proposed exhibits with construction details, layout, material specifications, and diagrams for elements such as lighting or special effects

• Review scripts to determine location, set, and design requirements

• Submit design plans for approval and revise to align with creative intent, budget constraints, or fabrication limitations

• Attend rehearsals and production meetings to share and gather set-related information

• Collaborate with clients and internal teams to define exhibit space requirements, themes, timelines, budgets, materials, and promotional needs

• Research architectural and stylistic elements appropriate to the depicted time period, consulting subject matter experts as needed

• Observe sets during rehearsals to ensure designs support performance requirements such as cast movement and camera angles

• Coordinate with lighting and sound teams to ensure production elements align with set designs or exhibit layouts

• Select set props including furniture, artwork, lighting, and decorative elements

• Design and construct scale models or miniatures for filming, backgrounds, or special effects

• Review exhibit objects to determine optimal placement and display methods

• Assign and oversee staff responsible for sketches, illustrations, detailed drawings, graphics, or animations

• Inspect installed sets or exhibits to ensure conformance with specifications and proper operation of special-effects elements

• Estimate costs related to sets or exhibits including materials, construction, rentals, and locations

• Plan for location-specific considerations such as space constraints, traffic flow, and safety requirements

• Source or coordinate acquisition of specimens, props, or graphics required to complete exhibits

• Design and produce decorative displays and materials for windows, interior spaces, events, streets, or fairgrounds

• Direct and coordinate construction, installation, and decoration activities to meet design, budget, and schedule requirements

• Coordinate transportation and on-site installation of sets built off-site

• Collaborate with conservators to manage environmental factors such as lighting, temperature, and humidity to protect objects and enhance exhibits

• Select and purchase lumber, hardware, and materials required for construction

• Engage and manage external contractors for exhibit or set construction

• Integrate security systems into set and exhibit layouts

• Coordinate removal and teardown of sets, props, and exhibits following productions or events

• Produce and supply supporting materials such as press kits, promotional assets, posters, brochures, catalogs, and invitations

• You’re able to participate in asynchronous work in partnership with leading AI labs.

Application Process

• Create a Handshake account

• Upload your resume and verify your identity

• Get matched and onboarded into relevant projects

• Start working and earning

Work authorization information

F-1 students who are eligible for CPT or OPT may be eligible for projects on Handshake AI. Work with your Designated School Official to determine your eligibility. If your school requires a CPT course, Handshake AI may not meet your school’s requirements. STEM OPT is not supported. See our Help Center article for more information on what types of work authorizations are supported on Handshake AI.



## Qualifications
* Bachelor’s degree in business, information systems, public administration, or a related field; or an equivalent combination of relevant education and/or experience
* Four or more years of progressively responsible experience managing projects or complex initiatives in a professional setting
* Demonstrated experience creating and maintaining project plans and timelines; coordinating work across multiple stakeholder groups; leading meetings, documenting decisions, and following up on action items
* Experience working on projects related to operations, IT systems, data, or process improvement
* Be Bold
## Responsibilities
* The Provost area AI & Automation team is looking for a Project Manager to plan, organize, and coordinate a portfolio of AI and automation initiatives across HR/payroll, finance, and business processes
* In this role, you will keep multiple projects and stakeholders aligned—maintaining the project pipeline, driving scoping and requirements gathering, and ensuring that active projects are delivered on time, within scope, and with clear communication to partners
* You’ll thrive in a small, entrepreneurial team that balances project-management discipline with flexibility and curiosity about new technologies, including AI and automation tools
* Maintain a central portfolio of candidate and active AI/automation projects, including status, priority, owners, and key dates; prepare portfolio summaries and status updates for leadership
* Design and run lightweight intake and prioritization processes for new project requests from HR, finance, and other business units; track 5+ concurrent projects across discovery, design, implementation, and evaluation
* Develop and maintain formal project plans with timelines, milestones, testing phases, and implementation steps; coordinate kick-offs, define scope and objectives, and clarify success criteria
* Monitor progress against plan; identify and escalate risks, issues, and scope changes; propose adjustments to keep projects on track; support end-to-end execution from proof-of-concept through deployment and post-implementation review
* Plan and facilitate requirements-gathering sessions with HR/payroll, finance, and administrative units; document process maps, user stories, and functional requirements; translate between technical and non-technical audiences and surface tradeoffs
* Schedule, prepare, and facilitate project meetings and working groups (agendas, notes, action items); maintain clear, consistent communication so stakeholders always know status, decisions, and next steps
* Contribute to shared templates, tools, and project-management standards (intake forms, requirements templates, dashboards); capture lessons learned and help build a repeatable playbook; stay informed about emerging AI/automation capabilities relevant to higher-education operations
* Join a collaborative, human-centered team advancing AI and automation to improve administrative services across the Provost-area
* You will partner closely with HR, Finance, IT, and academic units to deliver solutions that save staff time, reduce manual work, and enhance service quality
* You’ll have opportunities to experiment with emerging tools, contribute to shared practices, and influence how Duke scales responsible automation in support of its mission

## Full Description
Duke University

Duke University was created in 1924 through an indenture of trust by James Buchanan Duke. Today, Duke is regarded as one of America’s leading research universities. Located in Durham, North Carolina, Duke is positioned in the heart of the Research Triangle, which is ranked annually as one of the best places in the country to work and live. Duke has more than 15,000 students who study and conduct research in its 10 undergraduate, graduate and professional schools. With about 40,000 employees, Duke is the third largest private employer in North Carolina, and it now has international programs in more than 150 countries.

Be You.

The Provost area AI & Automation team is looking for a Project Manager to plan, organize, and coordinate a portfolio of AI and automation initiatives across HR/payroll, finance, and business processes. In this role, you will keep multiple projects and stakeholders aligned—maintaining the project pipeline, driving scoping and requirements gathering, and ensuring that active projects are delivered on time, within scope, and with clear communication to partners. You’ll thrive in a small, entrepreneurial team that balances project-management discipline with flexibility and curiosity about new technologies, including AI and automation tools.

Minimum Requirements

• Bachelor’s degree in business, information systems, public administration, or a related field; or an equivalent combination of relevant education and/or experience.

• Four or more years of progressively responsible experience managing projects or complex initiatives in a professional setting.

• Demonstrated experience creating and maintaining project plans and timelines; coordinating work across multiple stakeholder groups; leading meetings, documenting decisions, and following up on action items.

• Experience working on projects related to operations, IT systems, data, or process improvement.

Preferred Qualifications

• Experience in a higher education or similarly complex, decentralized organization.

• Exposure to AI, automation, analytics, or workflow tools (e.g., RPA, chatbots, low-code/no-code platforms, or enterprise AI tools).

• Experience mapping workflows and supporting end-to-end IT or process transformation projects.

• Project management certification (e.g., PMP, CAPM, Scrum Master) or formal training (preferred but not required).

Be Bold.

• Maintain a central portfolio of candidate and active AI/automation projects, including status, priority, owners, and key dates; prepare portfolio summaries and status updates for leadership.

• Design and run lightweight intake and prioritization processes for new project requests from HR, finance, and other business units; track 5+ concurrent projects across discovery, design, implementation, and evaluation.

• Develop and maintain formal project plans with timelines, milestones, testing phases, and implementation steps; coordinate kick-offs, define scope and objectives, and clarify success criteria.

• Monitor progress against plan; identify and escalate risks, issues, and scope changes; propose adjustments to keep projects on track; support end-to-end execution from proof-of-concept through deployment and post-implementation review.

• Plan and facilitate requirements-gathering sessions with HR/payroll, finance, and administrative units; document process maps, user stories, and functional requirements; translate between technical and non-technical audiences and surface tradeoffs.

• Schedule, prepare, and facilitate project meetings and working groups (agendas, notes, action items); maintain clear, consistent communication so stakeholders always know status, decisions, and next steps.

• Contribute to shared templates, tools, and project-management standards (intake forms, requirements templates, dashboards); capture lessons learned and help build a repeatable playbook; stay informed about emerging AI/automation capabilities relevant to higher-education operations.

Choose Duke.

Join a collaborative, human-centered team advancing AI and automation to improve administrative services across the Provost-area. You will partner closely with HR, Finance, IT, and academic units to deliver solutions that save staff time, reduce manual work, and enhance service quality. You’ll have opportunities to experiment with emerging tools, contribute to shared practices, and influence how Duke scales responsible automation in support of its mission.

Job Code: 00002423 ANALYST, IT

Job Level: C

Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status.

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.

Essential Physical Job Functions

Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.




## Full Description
About the RoleOur client is seeking an AI Data Engineer to design, build, and optimize data and AI pipelines within a modern Azure Databricks Lakehouse environment. This role sits at the intersection of data engineering, machine learning enablement, and cloud‑scale analytics, supporting advanced AI initiatives across the organization.You will work closely with data scientists, ML engineers, and business stakeholders to deliver high‑quality data products, feature pipelines, and production‑ready AI workflows that power predictive analytics, generative AI, and operational intelligenceKey ResponsibilitiesDesign and build scalable data pipelines using Azure Databricks, Spark, and Delta LakeDevelop and optimize ETL/ELT workflows across Azure Data Lake StorageImplement AI‑ready data architectures including feature stores and vector storesProductionize ML and generative AI models using MLflow and Databricks Model ServingCreate and maintain medallion architecture for analytics and AI workloadsDevelop SQL and PySpark transformations for large‑scale datasetsIntegrate Azure services such as Data Factory, Event Hub, and FunctionsEnsure data governance and security using Unity Catalog and RBACMonitor and optimize Databricks clusters for cost and performanceSupport CI/CD automation using Azure DevOps



## Qualifications
* 3+ years of experience in AI/ML/NLP/LLMs or related fields
* Hands-on experience with GenAI, model training, evaluation, and hyperparameter tuning
* Experience with MCP servers, agentic frameworks, and Retrieval-Augmented Generation (RAG)
* Strong programming skills in Python, C# (.NET/ASP.NET), Java, or similar languages
* Familiarity with cloud platforms (Azure/AWS) and their AI services
* Experience with API development, microservices architecture, and CI/CD pipelines
* Knowledge of tools like Docker, Kubernetes, MLFlow, and Azure DevOps
* Solid understanding of software engineering principles, data structures, and algorithms
* Excellent communication skills and ability to present technical concepts to non-technical stakeholders
* Bachelor’s degree in Computer Science or related field (or equivalent experience)
* In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire
* Must be authorized to work in the United States for any employer
## Benefits
* The Compensation range for this role is 110,000 to 135,000 USD annually and may be eligible for an annual bonus
* Location-based market rate for the role
* Pay parity with the wider team in the considered location
## Responsibilities
* You’ll work at the intersection of software engineering and AI, leveraging modern technologies such as GenAI, LLMs, MCP servers, and agentic frameworks to build scalable, production-ready solutions
* This role will also champion modern development practices and utilize Azure DevOps for agile delivery and ticketing
* Design, develop, and deploy AI-driven features and intelligent agents for real-world use cases
* Integrate GenAI and LLMs into applications via APIs and microservices
* Collaborate with product owners, architects, and engineers to transition prototypes into scalable production systems
* Drive hyper automation initiatives by modernizing legacy automations using MCP servers and agentic frameworks
* Engineer robust, reusable components and services with a focus on performance, scalability, and cost-efficiency
* Apply prompt engineering techniques to optimize model interactions and outcomes
* Ensure compliance, security, and ethical standards in all AI development
* Document processes, architectures, and best practices in Epiq’s internal knowledge base
* Integrate external products with Epiq’s proprietary solutions
* Stay current with AI advancements and recommend tools, frameworks, and methodologies

## Full Description
JOB DESCRIPTION

Job Description

It's fun to work at a company where people truly believe in what they are doing!

Job Description:

Epiq is seeking a highly skilled AI Software Engineer to join our Operations Engineering team.

This role is ideal for candidates who are passionate about building applied AI systems—not just writing code, but designing intelligent solutions that drive automation, efficiency, and innovation across legal operations.

You’ll work at the intersection of software engineering and AI, leveraging modern technologies such as GenAI, LLMs, MCP servers, and agentic frameworks to build scalable, production-ready solutions.

This role will also champion modern development practices and utilize Azure DevOps for agile delivery and ticketing.

Key Responsibilities

• Design, develop, and deploy AI-driven features and intelligent agents for real-world use cases.

• Integrate GenAI and LLMs into applications via APIs and microservices.

• Collaborate with product owners, architects, and engineers to transition prototypes into scalable production systems.

• Drive hyper automation initiatives by modernizing legacy automations using MCP servers and agentic frameworks.

• Engineer robust, reusable components and services with a focus on performance, scalability, and cost-efficiency.

• Apply prompt engineering techniques to optimize model interactions and outcomes.

• Ensure compliance, security, and ethical standards in all AI development.

• Document processes, architectures, and best practices in Epiq’s internal knowledge base.

• Integrate external products with Epiq’s proprietary solutions.

• Stay current with AI advancements and recommend tools, frameworks, and methodologies.

Qualifications & Experience

• 3+ years of experience in AI/ML/NLP/LLMs or related fields.

• Hands-on experience with GenAI, model training, evaluation, and hyperparameter tuning.

• Experience with MCP servers, agentic frameworks, and Retrieval-Augmented Generation (RAG).

• Strong programming skills in Python, C# (.NET/ASP.NET), Java, or similar languages.

• Familiarity with cloud platforms (Azure/AWS) and their AI services.

• Experience with API development, microservices architecture, and CI/CD pipelines.

• Knowledge of tools like Docker, Kubernetes, MLFlow, and Azure DevOps.

• Solid understanding of software engineering principles, data structures, and algorithms.

• Excellent communication skills and ability to present technical concepts to non-technical stakeholders.

• Bachelor’s degree in Computer Science or related field (or equivalent experience).

#LI-KS1 #LI-Remote

The Compensation range for this role is 110,000 to 135,000 USD annually and may be eligible for an annual bonus.

In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.

Must be authorized to work in the United States for any employer.

Your specific salary will be determined based on several factors:

• Location-based market rate for the role

• Your abilities in relation to the job specification

• Performance during screening and interview

• Pay parity with the wider team in the considered location

Further details about the package will be provided during the initial screening call with the Talent Acquisition Team.

Click here to learn about Epiq's Benefits.

If you like wild growth and working with happy, enthusiastic over-achievers, you'll enjoy your career with us!

It is Epiq’s policy to comply with all applicable equal employment opportunity laws by making all employment decisions without unlawful regard or consideration of any individual’s race, religion, ethnicity, color, sex, sexual orientation, gender identity or expressions, transgender status, sexual and other reproductive health decisions, marital status, age, national origin, genetic information, ancestry, citizenship, physical or mental disability, veteran or family status or any other basis protected by applicable national, federal, state, provincial or local law.

Epiq’s policy prohibits unlawful discrimination based on any of these impermissible bases, as well as any bases or grounds protected by applicable law in each jurisdiction.

In addition Epiq will take affirmative action for minorities, women, covered veterans and individuals with disabilities.

If you need assistance or an accommodation during the application process because of a disability, it is available upon request.

Epiq is pleased to provide such assistance and no applicant will be penalized as a result of such a request. Pursuant to relevant law, where applicable, Epiq will consider for employment qualified applicants with arrest and conviction records.



Lead AI​/ML Data Scientist Logistics & Decision Support

Qualifications

Responsibilities

Full Description

Lead AI/ML Data Scientist Logistics & Decision Support