## Responsibilities
* Design, develop, and deploy AI and machine learning models that address our most challenging engineering problems
* Act as a mentor and guide Junior AI Developers, promoting best practices, continuous learning, and innovation
* Collaborate with Senior AI Developers and AI Solutions Architects to align projects and explore new AI applications
* Optimize the performance, scalability, and reliability of our AI systems and applications
* Assist with troubleshooting and resolving complex technical challenges that may arise during the development lifecycle
* Help in the selection of tools, technologies, and platforms, ensuring our AI infrastructure remains cutting-edge

## Full Description
The Artificial Intelligence Developer in Structures Group bridges the gap between entry-level developers and senior team members to deliver AI-driven solutions tailored to the complex demands of the AEC industry.

Key Responsibilities:

• Design, develop, and deploy AI and machine learning models that address our most challenging engineering problems.

• Act as a mentor and guide Junior AI Developers, promoting best practices, continuous learning, and innovation.

• Collaborate with Senior AI Developers and AI Solutions Architects to align projects and explore new AI applications.

• Optimize the performance, scalability, and reliability of our AI systems and applications.

• Assist with troubleshooting and resolving complex technical challenges that may arise during the development lifecycle.

• Help in the selection of tools, technologies, and platforms, ensuring our AI infrastructure remains cutting-edge.



## Qualifications
* Analytical and Problem-Solving Skills: Ability to craft thoughtful prompts and evaluate nuanced AI responses with sound judgment
* Strong Written Communication: Clear, structured writing to explain decisions, provide feedback, and articulate why one response is stronger than another
* Care and Precision in Execution: A consistent ability to follow guidelines, notice subtle differences, and ensure outputs meet defined quality standards
* Background in fields such as literature, creative writing, history, philosophy, theology, or similar disciplines
* Prior experience in writing or editorial roles, such as content strategy, technical writing, or editing
* Curiosity about AI systems, machine learning, or creative technology tools
## Benefits
* Earn up to $16 USD/hourly and work fully remotely and flexibly
* Base Rate: depending on location: US $16.07, GB £ 13.30 GBP, CA $20.50 CAD, AU $26.25 AUD, IE €14.60 EUR, NZ $26.00 NZD
* Bonuses: Additional pay available based on project performance
* Type: Freelance/1099 contract - not an internship
* Schedule: Flexible hours - you choose when and how much to work
* Payouts: Weekly via our secure platform
* This is a freelance position that is paid on a per-hour basis
## Responsibilities
* Work from a real user perspective to create natural, high quality data that reflects how people actually use AI in practice
* Review, compare, and rank responses generated by large language models, focusing on usefulness, clarity, and reasoning quality
* Contribute across a range of projects based on your skills, interests, and experience

## Full Description
Earn up to $16 USD/hourly and work fully remotely and flexibly.

Outlier, a platform owned and operated by Scale AI, is looking for English speakers to contribute their expertise toward training and refining cutting-edge AI systems. If you're passionate about improving models and excited by the future of AI, this is your opportunity to make a real impact.

What You'll Do

• Work from a real user perspective to create natural, high quality data that reflects how people actually use AI in practice.

• Review, compare, and rank responses generated by large language models, focusing on usefulness, clarity, and reasoning quality.

• Contribute across a range of projects based on your skills, interests, and experience.

What We're Looking For

• Analytical and Problem-Solving Skills: Ability to craft thoughtful prompts and evaluate nuanced AI responses with sound judgment.

• Strong Written Communication: Clear, structured writing to explain decisions, provide feedback, and articulate why one response is stronger than another.

• Care and Precision in Execution: A consistent ability to follow guidelines, notice subtle differences, and ensure outputs meet defined quality standards.

Nice to Have

• Background in fields such as literature, creative writing, history, philosophy, theology, or similar disciplines.

• Prior experience in writing or editorial roles, such as content strategy, technical writing, or editing.

• Curiosity about AI systems, machine learning, or creative technology tools.

Pay & Logistics

• Base Rate: depending on location: US $16.07, GB £ 13.30 GBP, CA $20.50 CAD, AU $26.25 AUD, IE €14.60 EUR, NZ $26.00 NZD

• Bonuses: Additional pay available based on project performance.

• Type: Freelance/1099 contract - not an internship.

• Location: 100% remote

• Schedule: Flexible hours - you choose when and how much to work.

• Payouts: Weekly via our secure platform.

This is a freelance position that is paid on a per-hour basis. We don't offer internships as this is a freelance role. You also must be authorized to work in your country of residence, and we will not be providing sponsorship since this is a 1099 contract opportunity. However, if you are an international student, you may be able to sign up if you are on a visa. You should contact your tax/immigration advisor with specific questions regarding your circumstances. We are unable to provide any documentation supporting employment at this time. Please be advised that compensation rates may differ for non-US locations.



## Qualifications
* W-2 with Brooksource - not able to work c2c or 1099
* We are looking for an experienced AI Specialist to lead the design and implementation of advanced Artificial Intelligence (AI) and Generative AI (GenAI) solutions for CalSTRS
* Successfully delivered at least one BI/DW engagement with a total project budget of $20M+
* 3+ years of experience designing and implementing AI or ML use cases
* Proven experience developing enterprise-wide Data Governance frameworks and implementation plans
* 5+ years of experience identifying BI use cases and creating KPI analyses, risk assessments, and implementation roadmaps
## Responsibilities
* This role will focus on enabling AI-driven analytics, building scalable AI platforms, and integrating intelligent capabilities into enterprise Business Intelligence (BI) and Data Warehousing (DW) environments using AWS, Snowflake, and Power BI
* Design and implement AI/ML and GenAI use cases to enhance BI and analytics capabilities
* Develop AI platform architectures with agentic AI capabilities for accelerated deployment
* Collaborate with stakeholders to identify AI opportunities and create business cases
* Integrate AI solutions with BI/DW tools and ensure seamless data flow and governance
* Establish and enforce enterprise-wide Data Governance frameworks, policies, and standards
* Ensure compliance with California State IT policies, SDLC methodologies, and industry best practices
* Provide technical leadership on AWS Bedrock and Microsoft Copilot integrations

## Full Description
AI Specialist – Generative AI & Business Intelligence

Location: Hybrid (Sacramento, CA)

Onsite 2-3 times a week: 100 Waterfront Place West Sacramento, CA 95605

W-2 with Brooksource - not able to work c2c or 1099

We are looking for an experienced AI Specialist to lead the design and implementation of advanced Artificial Intelligence (AI) and Generative AI (GenAI) solutions for CalSTRS. This role will focus on enabling AI-driven analytics, building scalable AI platforms, and integrating intelligent capabilities into enterprise Business Intelligence (BI) and Data Warehousing (DW) environments using AWS, Snowflake, and Power BI.

Key Responsibilities

• Design and implement AI/ML and GenAI use cases to enhance BI and analytics capabilities.

• Develop AI platform architectures with agentic AI capabilities for accelerated deployment.

• Collaborate with stakeholders to identify AI opportunities and create business cases.

• Integrate AI solutions with BI/DW tools and ensure seamless data flow and governance.

• Establish and enforce enterprise-wide Data Governance frameworks, policies, and standards.

• Ensure compliance with California State IT policies, SDLC methodologies, and industry best practices.

• Provide technical leadership on AWS Bedrock and Microsoft Copilot integrations.

Mandatory Qualifications

• Successfully delivered at least one BI/DW engagement with a total project budget of $20M+.

• 3+ years of experience designing and implementing AI or ML use cases.

• Proven experience developing enterprise-wide Data Governance frameworks and implementation plans.

• 5+ years of experience identifying BI use cases and creating KPI analyses, risk assessments, and implementation roadmaps.

Desired Qualifications

• 5+ years consulting for California State agencies, adhering to state SDLC methodologies and IT standards.

• Technical certifications in cloud architecture, GenAI, or GenBI.

• Experience designing and building AI platform architectures with agentic AI capabilities.

• Familiarity with AWS Bedrock and Microsoft Copilot integrations.

• Expertise in project management using PMI PMBOK and Scaled Agile Framework.

• Local to California and able to work onsite as needed.




## Full Description
OVERVIEW

A thriving, mission-driven multimedia organization, NPR produces award-winning news, information, and music programming in partnership with hundreds of independent public radio stations across the nation. The NPR audience values information, creativity, curiosity, and social responsibility – and our employees do too. We are innovators and leaders in diverse fields, from journalism and digital media to IT and development. Every day, our employees and member stations touch the lives of millions worldwide.

Across our organization, we're building a workplace where collaboration is essential, diverse voices are heard, and inclusion is the key to our success. We are committed to doing the right thing in our journalism and in every role at NPR. This means that integrity, adherence to our ethical standards, and compliance with legal obligations are fundamental responsibilities for every employee at NPR.

Intro to Position

The Senior AI Engineer, AI Labs, is a foundational role in building NPR's first Generative AI (GAI)-focused product development team. Reporting to the VP of AI Labs, this engineer will be responsible for the technical development and implementation of generative AI solutions. The core mission is to engineer systems that leverage GAI to enhance the quality and actionability of our content metadata, thereby directly supporting the organization's goals of improving content personalization and increasing editorial efficiency. This role involves hands-on work in integrating AI products into core NPR systems, ensuring solutions are scalable, align with ethical guidelines, and are built upon industry best practices. This is a critical opportunity to shape NPR's technical AI adoption and build a new, innovative function.

Responsibilities

• Engineering & Implementation: Design, develop, and deploy scalable Generative AI (GAI) solutions, focusing on enhancing content metadata quality and actionability to meet organizational objectives.

• Architecture & Technical Best Practices: Establish and champion technical best practices for Generative AI systems, including MLOps, RAG architectures, prompt engineering, and model evaluation, ensuring high-quality, maintainable code.

• Cross-functional Development: Collaborate closely with Product Managers, data scientists, software and infrastructure engineers, and relevant subject matter experts to translate product requirements and roadmaps into robust, production-ready AI systems.

• System Optimization & Performance: Implement data-driven methods, A/B testing, and performance monitoring to optimize the efficiency, scalability, and impact of AI models and pipelines.

• Technical Communication: Clearly articulate technical architectures, development progress, and engineering challenges to product and non-technical stakeholders.

• Responsible AI: Integrate ethical AI principles and compliance standards directly into the design and implementation of all AI products, in alignment with company policies.

• Technology Scouting: Research and evaluate emerging AI technologies, frameworks, and industry trends to drive continuous technical innovation within the AI Labs.

The above duties and responsibilities are not an exhaustive list of required responsibilities, duties and skills. Other duties may be assigned, and this job description is subject to change at any time.

Minimum Qualifications

• 5+ years of professional experience in software development, data science, or machine learning engineering, with a focus on building and deploying production systems.

• 2+ years of hands-on experience working with generative AI, machine learning, or data products.

• Expert proficiency in Python and experience creating functional prototypes to validate technical feasibility and user flows.

• Demonstrable understanding and experience building products that leverage Large Language Models, RAG architectures, prompting, function calling, retrieval, vector databases, embeddings, fine-tuning, and model evaluation.

• Familiarity with building and integrating MCP servers and agentic workflows

• Background in creating QA systems for AI processes and development

• Excellent communication skills and the ability to clearly articulate technical architectures and challenges to product and non-technical stakeholders.

• A collaborative and respectful approach to work and an ability to adapt quickly to change.

• A deep commitment to the mission of NPR and to the responsible implementation of Generative AI technologies.

Preferred Qualifications

• Experience designing and building highly scalable, production-grade AI/ML pipelines and services.

• Proficiency with cloud platforms, particularly AWS and Google Cloud Platform (GCP) and MLOps tools, particularly MLFlow and Vertex AI.

• Experience with DevOps practices, including CI/CD and enterprise infrastructure-as-code.

• Experience working in media organizations and an understanding of media delivery systems.

Work Location & Requirements

• Hybrid Permitted: This is a hybrid permitted role. Some aspects of this role include duties that are better performed at an NPR facility. The employee will be required to be in the office, preferably at the Washington, D.C. location, at least two to three days a week.

Job Type

• This is a full-time, exempt position.

Compensation

Salary Range: The U.S. based anticipated salary range for this opportunity is $160,000 - 186,000 plus benefits. The range displayed reflects the minimum and maximum salaries NPR expects to provide for new hires for the position across all US locations.

NPR offers access to comprehensive benefits for employees and dependents. Regular, full-time employees scheduled to work 30 hours or more per week are eligible to enroll in NPR's benefits options. Benefits include access to health and wellness, paid time off, and financial well-being. Plan options include medical, dental, vision, life/ accidental death and dismemberment, long-term disability, short-term disability, and voluntary retirement savings to all eligible NPR employees.

Does this sound like you? If so, we want to hear from you.

NPR is an Equal Opportunity Employer. NPR is committed to being an inclusive workplace that welcomes diverse and unique perspectives, all working toward the same goal – to create a more informed public. Qualified applicants receive consideration for employment without regard to race, color, ethnicity, national origin, ancestry, age, religion, religious belief, sex (including pregnancy, childbirth and related medical conditions, lactation, and reproductive health decisions), sexual orientation, gender, gender identity or expression, transgender status, gender non-conforming status, intersex status, sexual stereotypes, nationality, citizenship status, personal appearance, marital status, family status, family responsibilities, military status, veteran status, mental and physical disability, medical condition, genetic information, genetic characteristics of yourself or a family member, political views and affiliation, unemployment status, protective order status, status as a victim of domestic violence, sexual assault, or stalking, or any other basis prohibited under applicable law.

If you are a person with a disability needing assistance with the application process, please reach out to employeerelations@npr.org.

You may read NPR's privacy policy to learn about how NPR may handle information you submit with any application.

Want more NPR? Explore the stories behind the stories on our NPR Extra blog. Get social with NPR Extra on Facebook and Instagram. Find more career opportunities at NPR.org/careers.



## Qualifications
* A strong background in AI/ML solutions is essential for success in this position
* We are looking for a highly experienced software development engineer who can lead our efforts in modernizing our SDLC and enhancing our CI/CD pipelines using AI
## Responsibilities
* Apply AI to enhance CI/CD pipelines and modernize SDLC
* Leverage cloud platforms for scalable implementations
* Improve processes and communication with stakeholders using AI
* This role involves applying cutting-edge technologies to drive business growth and efficiency

## Full Description
Senior AI DevOps Engineer

Apply AI to enhance CI/CD pipelines and modernize SDLC.

• Leverage cloud platforms for scalable implementations.

• Improve processes and communication with stakeholders using AI.

This role involves applying cutting-edge technologies to drive business growth and efficiency. A strong background in AI/ML solutions is essential for success in this position. We are looking for a highly experienced software development engineer who can lead our efforts in modernizing our SDLC and enhancing our CI/CD pipelines using AI.



## Qualifications
* Data structures, algorithms (Python, C++)
* SW CI/CD process
* Experience in Unix/Linux
* GenAI, AI/ML Techniques for automation
* Must be currently pursuing a degree in Electrical Engineering, Computer Engineering, or similar
* If you are graduating prior to July 2026, please apply for Graduate Hire or Entry Level roles
## Benefits
* The base salary range for this position is as mentioned below per year
* We also provide competitive benefits, incentive compensation, and/or equity for certain roles
* Company benefits include health
* dental, and vision insurance
* 401(k), and paid leave
* Please note that the base salary range (OR hourly rate) is a guideline, and individual total compensation may vary based on a number of factors such as qualifications, skill level, work location, and other business and organizational needs
* $64,480 to $107,500 annually
## Responsibilities
* You'll be working and connecting with automation experts as well as academia to explore state-of-the-art Computer-Aided Design (CAD) techniques as part of VLSI CAD Software development

## Full Description
As an "AI/ML ASIC Design and Implementation Automation Intern" in our Advanced Chip Engineering (ACE) organization, you will learn in a dynamic environment where we explore and innovate on methodology, flows, and tools to improve efficiency and quality of results (power, performance, area, and quality) for ASIC (Application Specific Integrated Circuits), SoC (System on Chip), and IP (IntellectualProperty). You'll be working and connecting with automation experts as well as academia to explore state-of-the-art Computer-Aided Design (CAD) techniques as part of VLSI CAD Software development.

Desirable Skills

• Data structures, algorithms (Python, C++)

• SW CI/CD process

• Experience in Unix/Linux

• GenAI, AI/ML Techniques for automation

Qualifications

Must be currently pursuing a degree in Electrical Engineering, Computer Engineering, or similar. If you are graduating prior to July 2026, please apply for Graduate Hire or Entry Level roles.

The base salary range for this position is as mentioned below per year. We also provide competitive benefits, incentive compensation, and/or equity for certain roles.

Company benefits include health. dental, and vision insurance. 401(k), and paid leave. Please note that the base salary range (OR hourly rate) is a guideline, and individual total compensation may vary based on a number of factors such as qualifications, skill level, work location, and other business and organizational needs. This base pay range is specific to California and is not applicable to other locations. A reasonable estimate of the base salary range as of the date of this posting is:

$64,480 to $107,500 annually

More information about NXP in the United States...

NXP is an Equal Opportunity/Affirmative Action Employer regardless of age, color, national origin, race, religion, creed, gender, sex, sexual orientation, gender identity and/or expression, marital status, status as a disabled veteran and/or veteran of the Vietnam Era or any other characteristic protected by federal, state or local law. In addition, NXP will provide reasonable accommodations for otherwise qualified disabled individuals.



## Qualifications
* Native or fluent English speaker
* Full-stack developer experience with a strong systems programming background
* 5+ years of professional experience writing production Python
* Strong background in performance optimization and concurrency (e.g., asyncio, multiprocessing, threading) and type safety (e.g., Pydantic, mypy)
* Experience building robust backend services (using frameworks like FastAPI or Django) or scalable data pipelines
* Clear written and verbal communication skills
* Ability to commit 20-40 hours per week
## Benefits
* Type: Contract, Remote Commitment: 20-40 hours/week Compensation: Competitive, hourly (based on experience)
* $50 - $75 an hour
## Responsibilities
* Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows
* Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control
* Improve reliability, performance, and safety across existing Python codebases
* Collaborate with data, research, and engineering teams to support model training and evaluation workflows
* Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes
* Participate in synchronous reviews to iterate on system design and implementation decisions
* Complete a short technical screening
* Project matching and onboarding

## Full Description
About the Job

Alignerr connects top technical experts with leading AI labs to build, evaluate, and improve next-generation models. We work on real production systems and high-impact research workflows across data, tooling, and infrastructure.

Position

Senior Python Full-Stack Engineer - AI Data & Infrastructure

Type: Contract, Remote Commitment: 20-40 hours/week Compensation: Competitive, hourly (based on experience)

Role Responsibilities

• Design, build, and optimize high-performance systems in Python supporting AI data pipelines and evaluation workflows

• Develop full-stack tooling and backend services for large-scale data annotation, validation, and quality control

• Improve reliability, performance, and safety across existing Python codebases

• Collaborate with data, research, and engineering teams to support model training and evaluation workflows

• Identify bottlenecks and edge cases in data and system behavior, and implement scalable fixes

• Participate in synchronous reviews to iterate on system design and implementation decisions

Qualifications

Must-Have

• Native or fluent English speaker

• Full-stack developer experience with a strong systems programming background

• 5+ years of professional experience writing production Python

• Strong background in performance optimization and concurrency (e.g., asyncio, multiprocessing, threading) and type safety (e.g., Pydantic, mypy)

• Experience building robust backend services (using frameworks like FastAPI or Django) or scalable data pipelines

• Clear written and verbal communication skills

• Ability to commit 20-40 hours per week

Preferred

• Prior experience with data annotation, data quality, or evaluation systems

• Familiarity with AI/ML workflows, model training, or benchmarking pipelines

• Experience with distributed systems or developer tooling

Application Process

• Submit your resume

• Complete a short technical screening

• Project matching and onboarding

$50 - $75 an hour



## Qualifications
* Strong subject matter expertise in AI and customer experience technology, with excellent verbal and written communication skills
* 10 to 12 years of sales and/or presales experience in software, cloud, and/or AI-related domains
* Experience with AI-powered customer experience and conversational AI solutions
* Ability to influence without direct authority and collaborate effectively with colleagues to drive outcomes
* Ability to create effective territory and account strategies that support growth objectives
* Strong critical thinking, problem solving, and communication skills
* Effective presentation skills with the ability to serve as a compelling subject matter expert
* Ability to manage multiple concurrent work streams and support numerous in-flight opportunities across teams
* Experience in sales overlay, specialist, and/or subject matter expert functions
## Benefits
* This role has a market-competitive salary with an anticipated base compensation range listed below
* Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location
* This role might also be eligible for a commission or performance-based bonus opportunities
* $125,300.00 - $232,700.00
* Medical, Dental, and Vision Insurance
* Telehealth coverage
* Flexible work schedules and work from home opportunities
* Development and career growth opportunities
* Open Time Off in addition to 10 paid holidays
* 401(k) matching program
* Adoption Assistance
* Fertility treatments
## Responsibilities
* Demonstrate advanced expertise in AI, and lead detailed discussions with technical and business stakeholders
* Engage confidently with senior and C-level leaders, and orchestrate complex opportunities across internal and external teams
* Influence and guide sales strategy, partnering closely with account executives to support territory planning, pipeline creation, opportunity progression, and forecasting
* Identify strategic priorities and develop AI-led opportunity pathways aligned to customer objectives
* Drive field execution of programs across the Genesys AI portfolio including sales campaigns and enablement initiatives
* Serve as a trusted subject matter expert internally, and model best practice sales motions that elevate capabilities across the wider team
* Provide hands on support for positioning, presentations, pricing, proposals, and other key materials related to Genesys AI and Experience Orchestration
* Lead customer workshops that shape AI use cases, prioritization frameworks, and pilot opportunities
* Act as the voice of the customer by capturing insights and partnering with cross functional teams in marketing, product, customer success, and professional services
* Ad-hoc duties as required by management
* Embrace Empathy: As a specialist sales team, we are strategic partners to our colleagues (primarily AEs and sales managers) and to Genesys clients
* Fly in formation: We are team players in everything we do

## Full Description
Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.

We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.

Job Summary:

The AI and Experience Orchestration Director brings deep expertise in AI powered customer experience to account teams and clients, helping to translate client’s business goals into impactful AI use cases that deliver measurable outcomes and, in turn, helping to drive sales and adoption of Genesys native AI capabilities.

At Genesys, we are transforming the customer experience landscape with empathy, innovation, and intelligent orchestration that empowers organizations to drive meaningful change. Joining Genesys means becoming part of a global team that is redefining how companies engage with our customers while fostering a collaborative and inclusive culture.

Key responsibilities include (but not limited to):

• Demonstrate advanced expertise in AI, and lead detailed discussions with technical and business stakeholders

• Engage confidently with senior and C-level leaders, and orchestrate complex opportunities across internal and external teams

• Influence and guide sales strategy, partnering closely with account executives to support territory planning, pipeline creation, opportunity progression, and forecasting

• Identify strategic priorities and develop AI-led opportunity pathways aligned to customer objectives

• Drive field execution of programs across the Genesys AI portfolio including sales campaigns and enablement initiatives

• Serve as a trusted subject matter expert internally, and model best practice sales motions that elevate capabilities across the wider team

• Provide hands on support for positioning, presentations, pricing, proposals, and other key materials related to Genesys AI and Experience Orchestration

• Lead customer workshops that shape AI use cases, prioritization frameworks, and pilot opportunities

• Act as the voice of the customer by capturing insights and partnering with cross functional teams in marketing, product, customer success, and professional services

• Ad-hoc duties as required by management

Key Cultural Values (how we do it):

• Embrace Empathy: As a specialist sales team, we are strategic partners to our colleagues (primarily AEs and sales managers) and to Genesys clients. Their goals are our goals, and we connect regularly through authentic conversations.

• Fly in formation: We are team players in everything we do. As specialists, we work with and through our assigned AEs, managers, and other colleagues (e.g., Customer Success and Professional Services) to deliver results. We stay in formation by speaking the language of MEDDPICC, being highly aware of and deeply involved in what’s happening in our assigned territories, and adding value at every turn with our perspective, presence, and work products.

• Go big: We are experts in AI and change agents within Genesys. Where appropriate and with empathy, we challenge colleagues, clients, and ourselves to think and act boldly to deliver greater innovation and outcomes for all parties.

Minimum experience:

• Strong subject matter expertise in AI and customer experience technology, with excellent verbal and written communication skills

• 10 to 12 years of sales and/or presales experience in software, cloud, and/or AI-related domains

• Experience with AI-powered customer experience and conversational AI solutions

• Ability to influence without direct authority and collaborate effectively with colleagues to drive outcomes

• Ability to create effective territory and account strategies that support growth objectives

• Strong critical thinking, problem solving, and communication skills

• Effective presentation skills with the ability to serve as a compelling subject matter expert

• Ability to manage multiple concurrent work streams and support numerous in-flight opportunities across teams

Desirable Skills:

• Experience in sales overlay, specialist, and/or subject matter expert functions

Compensation:

This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate’s experience, qualifications, skills, and location. This role might also be eligible for a commission or performance-based bonus opportunities.

$125,300.00 - $232,700.00

Benefits:

• Medical, Dental, and Vision Insurance.

• Telehealth coverage

• Flexible work schedules and work from home opportunities

• Development and career growth opportunities

• Open Time Off in addition to 10 paid holidays

• 401(k) matching program

• Adoption Assistance

• Fertility treatments

Click here to view a summary overview of our Benefits.

If a Genesys employee referred you, please use the link they sent you to apply.

About Genesys:

Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.

Reasonable Accommodations:

If you require a reasonable accommodation to complete any part of the application process, or are limited in your ability to access or use this online application and need an alternative method for applying, you or someone you know may contact us at reasonable.accommodations@genesys.com.

You can expect a response within 24–48 hours. To help us provide the best support, click the email link above to open a pre-filled message and complete the requested information before sending. If you have any questions, please include them in your email.

This email is intended to support job seekers requesting accommodations. Messages unrelated to accommodation—such as application follow-ups or resume submissions—may not receive a response.

Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.

Please note that recruiters will never ask for sensitive personal or financial information during the application phase.




## Full Description
Join a global community of talented professionals to shape the future of AI. Earn up to $15 USD/hr and additional rewards based on quality of submission.

Outlier is committed to improving the intelligence & safety of AI models. Owned and operated by Scale AI, we’ve recently been featured in Forbes for partnering experts with top AI labs to provide the high quality data for LLMs. We believe AI canonly perform as well as the data it’s trained on. That’s why we work with contributors from all over the world, who help improve AI models by providing expert human feedback. This data has led to AI advancements for the world's leading AI labs and large language model builders.

We’ve built a best-in-class remote work platform for our freelance contributors to provide valuable, specialized skills, and we in turn strive to provide them with a positive experience based on our core pillars of reliability, transparency, and flexibility.

What you will be doing

We are looking for someone who speaks fluent English to contribute their expertise toward training and refining cutting-edge AI systems.

• Adopt a “user mindset” to produce natural data to meet the realistic needs you have or would use AI for.

• Use the tool of rubrics to address user needs in a structured way.

• Evaluate AI outputs by reviewing and ranking reasoning and problem-solving responses from large language models.

• Contribute across projects depending on your specific skillset and experience.

What we’re looking for

• Education: Bachelor’s degree or higher (or currently enrolled).

• Analytical and Problem-Solving Skills: Ability to develop complex, professional-level prompts and evaluate nuanced AI reasoning.

• Strong Writing: Clear, concise, and engaging writing to explain decisions or critique responses.

• Attention to Detail: Commitment to accuracy and ability to assess technical aspects of model outputs.

Nice to Haves:

• Experience in fields like literature, creative writing, history, philosophy, theology, etc.

• Prior writing or editorial experience (content strategist, technical writer, editor, etc.).

• Interest or background in AI, machine learning, or creative tech tools.

Compensation and benefits

Earn up to $15 USD/hr, paid out weekly

Rates vary based on quality, accuracy, and time spent. Paid via PayPal & AirTM

Free access to

Model Playground

Interact, experiment and engage with leading large language models free of cost

Flexible schedule and

time commitment

No contracts, no 9-to-5. You control your schedule. (Most experts spend 5-10 hours/week, up to 40 hours working from home

Join a global community of

Coding experts

Join a global network of experts contributing to advanced AI tools

Disclaimer: For non-core work, such as during initial project onboarding or project overtime phases, lower rates may apply. Certain projects offer incentive payments. Please review the payment terms for each project.

Equal Opportunity Employer: Outlier is committed to fostering a diverse and inclusive work environment. We welcome applicants from all backgrounds and celebrate diversity in our workforce.

