## About the role

This is a four-month internship within the Group Risk Management Innovation and AI Center of Excellence. You will work on advanced analytics projects, applying machine learning and generative AI to solve real-world problems in risk management. The role focuses on building practical applications that drive efficiency and automation.

## What you'll do

- Participate in the end-to-end development of AI solutions, from initial design and prototyping to production deployment.
- Collaborate with business users to understand requirements, translate needs into technical problems, and iterate based on feedback.
- Build real-world applications that directly address business challenges.
- Keep up with AI advancements and share knowledge with your team.
- Present technical solutions and project updates to peers and senior management.

## What you'll need

- Bachelor’s or master’s degree in computer science, computer engineering, statistics, or a related field.
- Hands-on experience prototyping GenAI applications using foundational LLMs and transformer models.
- Proficiency in Python 3.x for developing modular, scalable software.
- Experience with frameworks such as LangChain, LangGraph, LlamaIndex, or Haystack, and vector databases.
- Knowledge of modular RAG, agentic systems, and prompt engineering.
- Familiarity with machine learning and deep learning algorithms, including supervised and unsupervised methods.
- Understanding of professional software engineering best practices, including version control and testing.
- Strong logical thinking, attention to detail, and effective communication skills.
- Collaborative attitude and a willingness to learn new technologies quickly.
- Nice to have: experience with embedding model fine-tuning, Model Context Protocol, LLM performance evaluation, or deploying GenAI in production environments.
- Nice to have: familiarity with frameworks like PyTorch, JAX, TensorFlow, or scikit-learn, as well as financial risk management concepts.

## Location & details

- Location: Toronto, Ontario, Canada.
- Term: Winter 2027 (January 2027 to April 2027).
- Modality: Hybrid.
- Employment: Full-time, paid internship.

Pompano Beach, Florida | Full-Time | 100% On-Site

Salary: $55,000–$75,000

Turn Your Potential into Opportunity.

Southern Auto Finance Company (SAFCO) seeks a Quantitative Analyst / AI Junior Engineer to apply advanced SQL, quantitative analysis, and AI-driven automation to quality assurance, business operations, and servicing performance.

New and recent graduates are encouraged to apply. Professional experience is welcome but not required; relevant skills may come from coursework, internships, research, capstone projects, or personal technical projects.

## What You’ll Do

- Extract, combine, clean, validate, and analyze data using advanced SQL.
- Apply statistical methods and build models to identify trends, evaluate performance, and recommend improvements.
- Help develop and implement AI tools to automate quality assurance reviews, reporting, and business workflows.
- Build dashboards and reports supporting servicing, collections, and operational decisions.
- Analyze portfolio performance, customer payment behavior, and employee productivity.
- Partner with business leaders to test strategies, measure results, and communicate practical recommendations.
- Maintain data accuracy and explain findings to technical and non-technical audiences.

## Required Qualifications

- Bachelor’s degree in Data Analytics, Engineering, Statistics, Mathematics, Artificial Intelligence, or Computer Science.
- Advanced SQL proficiency and advanced Microsoft Excel skills.
- Strong quantitative, analytical, and problem-solving abilities.
- Attention to detail, commitment to data accuracy, and clear written and verbal communication.
- Initiative and the ability to manage multiple assignments.

## Preferred Qualifications

- Experience with Artificial Intelligence (AI), Large Language Models (LLMs), and machine learning is a plus.
- Python or a similar analytical programming language.
- Statistical modeling, Power BI, Tableau, data pipelines, or workflow automation experience.

## Work Location

This role requires working in-office five days per week at SAFCO’s Pompano Beach headquarters. Remote and hybrid arrangements are unavailable. Candidates must live within commuting distance or be willing to relocate.

## Potential. Opportunity. Prosperity.

For more than 30 years, SAFCO has helped customers build a better tomorrow through responsible auto financing. Work with executive leadership, apply emerging technology to real business challenges, and gain valuable experience with meaningful growth potential.

Ready to turn data and ideas into results? Apply today.

SAFCO is an equal opportunity employer and a drug-free workplace. We do not accept unsolicited resumes or referrals from third-party recruiting firms or agencies.

Position: AI Training - Sales - US

Sales Professionals - AI Training

## About Prolific

Prolific is not just another player in the AI space – we are building the biggest pool of quality human data in the world.

Over 35,000 AI developers, researchers, and organizations use Prolific to gather data from paid study participants with a wide variety of experiences, knowledge, and skills. The Opportunity

We’re looking for Sales Professional to join our Expert Network to help train and evaluate cutting‑edge AI models using real sales and business development expertise. If you have the necessary experience, we’ll send you a quick 10- to 15-minute test to assess your skills and suitability for AI tasks. If successful, you’ll be invited to join Prolific as a participant, where you’ll get paid to train and evaluate powerful AI models.

Researchers looking for your skills tend to pay up to $20 per hour . You must be prepared to complete paid tasks that require one hour of uninterrupted work , though many are shorter.

Joining our talent pool for this project also opens the door to similar paid projects in future. Everything is fully remote and ad hoc, on a freelance basis, with full control over which projects you accept. Payments are made via PayPal. Tasks

- Writing detailed outlines of your workflows
- You will be asked to write about one of the tasks you perform regularly, in as much detail as you can.
- Ideal tasks to write about for this project take between a few days to a few months, are critical to your job, and are performed at least once a week.
- Stick to one task per outline. This is about real depth on a single process, not a tour of your whole role.
- Include the steps, the tools and information you draw on, the decision points and the edge cases.

What You’ll Bring

- 3 to 5 years of professional experience in a sales role (eg. Sales Specialist, SDR, BDR, etc.)
- Exceptional written communication skills
- Analytical Thinking, the ability to translate complex workflows into structured evaluation tasks and provide clear, nuanced feedback
- Strong attention to detail

Why Prolific is a great platform to join as a Participant

Joining our platform as a Prolific participant will give you the chance to influence the AI models of the future using your professional expertise. Once you pass our assessment, you can join Prolific in just 15 minutes, and start enjoying competitive pay rates, flexible hours, and the ability to work from home.

We’ve built a unique platform that connects researchers and companies with a global pool of participants, enabling the collection of high-quality, ethically sourced human behavioural data and feedback. This data is the cornerstone of developing more accurate, nuanced, and aligned AI systems.

We believe that the next leap in AI capabilities won’t come solely from scaling existing models, but from integrating diverse human perspectives and behaviours into AI development. By providing this crucial human data infrastructure, Prolific is positioning itself at the forefront of the next wave of AI innovation – one that reflects the breadth and the best of humanity.

## Privacy Statement

By submitting your application, you agree that Prolific may collect your personal data for recruiting and global organisation planning. Prolific’s Candidate Privacy Notice explains what personal information Prolific may process, where Prolific may process your personal information, its purposes for processing your personal information, and the rights you can exercise over Prolific use of your personal information.

AI Operations Manager

Company: Skyray Ventures

Type: Part-Time | Growth to Full-Time | Remote

Location: Pakistan-based preferred. Open to South Africa, Eastern Europe for exceptional candidates.

Salary: Competitive — based on experience and technical depth

Reports To: Founder

## ROLE OVERVIEW

We are looking for a highly technical, AI-native Operations Manager to work directly with the Founder to analyse, automate, and optimise business processes across all departments. You will identify where humans are doing work that AI agents can do better, build the automation, deploy it, and hand it to a single operator to manage. Your mandate: take a 5-person department and turn it into 1 person running AI workflows. High-impact, high-trust role at the centre of how we build the business of the future.

## RESPONSIBILITIES

- Audit every department and map all processes — identify what can be automated with AI agents immediately
- Design and deploy AI agent workflows using OpenClaw/Claudbot on VPS or Mac Mini infrastructure
- Build end-to-end automation across BD outreach, SEO publishing, reporting, HR screening, and social media production
- Set up and manage automation platforms — n8n, Make, Zapier — for cross-tool workflows
- Work directly with the Founder to prioritise automation projects by ROI and headcount reduction potential
- Train existing team members to become AI operators — one person managing AI workflows instead of a full team
- Stay current on all major AI developments — new models, tools, agent frameworks, and deployment methods
- Document all automations with clear SOPs so they are maintainable and scalable

## REQUIREMENTS

- Expert-level knowledge of OpenClaw/Claudbot — must have deployed AI agents on VPS or Mac Mini, non-negotiable
- Hands-on experience with n8n, Make (Integromat), and Zapier for complex multi-step automations
- Deep familiarity with all major LLMs — Claude, GPT-4, Gemini, Grok — and when to use each
- Understanding of Claude-specific tools — Claude API, Claude Projects, Claude Skills, Claude Cowork
- Strong understanding of business operations and process optimisation
- Strong English communication — written and verbal, professional standard
- Some coding knowledge — Python or JavaScript preferred
- Experience deploying and managing agents on cloud infrastructure or local hardware (VPS, Mac Mini)

## NICE TO HAVE

- Experience in an agency or multi-brand business environment
- Familiarity with AI-powered SEO, outreach automation, or content production workflows
- Background in business process optimisation or operations management
- Experience with prompt engineering and building reliable AI pipelines
- Interest in AI consultancy or advising businesses on AI adoption

## HOW TO APPLY

Send your CV and a detailed breakdown of one AI agent workflow you have built and deployed — what was the business problem, what tools you used, what the outcome was. Candidates who cannot demonstrate hands-on OpenClaw/Claudbot deployment experience will not proceed to interview.

Job Types: Full-time, Part-time

Pay: Rs120,000.00 - Rs200,000.00 per month

## Application Question(s):

- Have you deployed AI agents using OpenClaw or Claudbot? (Yes/No)

If yes, please describe one specific AI agent workflow you built: What was the business problem?

What tools/frameworks did you use?

Was it deployed on VPS/Mac Mini?

What was the outcome/impact?

- Have you deployed agents on VPS or Mac Mini infrastructure? Please explain your setup.
- Automation Platforms

Rate your experience with the following (Beginner / Intermediate / Advanced):

n8n

Make (Integromat)

Zapier

- LLM Proficiency

Which LLMs have you worked with hands-on? (Claude, GPT-4, Gemini, Grok, etc.)

When choosing between Claude, GPT-4, Gemini, and Grok — how do you determine which model to use for a given workflow?

Work Location: Remote

## Role Overview

As a Senior Software Engineer AI Ops at Scale AI, you will own the long-term technical health, performance, and stability of AI solutions deployed across our strategic public sector partners. While our Delivery Teams build and launch new use cases, you are the technical steward ensuring these deployments operate with Operational Excellence. You will bridge software engineering, MLOps, and client governance, managing tiered SLAs, tracking model drift, and executing maintenance protocols that protect both system integrity and operational margins

## Key Responsibilities

- Handover Gate & Onboarding: Act as the technical gatekeeper during the formal transition from Delivery to Maintenance. Conduct deep-dive reviews to ensure baseline code, prompts, and architecture meet strict maintainability and documentation standards before sign-off
- Tiered SLA & Incident Management: Own technical response and resolution targets across multi-tiered service models from Business-Hours Essential to 24/7 Mission-Critical
- Lead Incident Governance: Root Cause Analysis (RCA) and P1/P2 mitigations within strict active support windows
- AI Lifecycle Governance: Monitor production model performance, latency, and data drift. Manage prompt configuration repositories to maintain behavioral consistency and perform regression testing when LLM providers update underlying endpoints
- Request Classification & Technical Scope: Operationalize the boundary between Routine Maintenance (In-Scope) and System Evolution (Out-of-Scope). Assess incoming client requests and run comparative benchmarking on new AI models
- Automation & Reliability Engineering: Eliminate operational toil by engineering self-healing data pipelines, automated RAG indexing syncs, and telemetry tooling. Influence upstream Delivery teams to adopt architectural patterns that simplify ongoing maintenance
- Client Technical Interface: Serve as the senior technical point of contact for government and enterprise IT leads. Translate technical AI concepts (data drift, prompt versioning, API deprecation) into clear business impacts for non-technical stakeholders

## Background

Ideally you'd have: 5+ years in Software Engineering, MLOps, SRE, or Forward Deployed Engineering in heavy data or production AI environments.

## Technical Stack:

- Advanced proficiency in Python, SQL, REST/gRPC APIs, and cloud architecture (AWS, Azure, or GCP).
- Hands-on experience with MLOps tooling, vector databases, and LLM orchestration frameworks (e.g., LangChain, LlamaIndex).

## AI Governance Expertise:

Practical understanding of prompt version control, model benchmarking against evaluation datasets, RAG pipeline mechanics, and data drift detection.

## Engineering Mindset:

A drive to build systematic, automated fixes rather than applying temporary patches.

Strong grasp of CI/CD for machine learning pipelines.

## Client Acumen & Boundary Control:

Strong technical communication skills with the ability to manage client expectations, defend operational boundaries (Maintenance vs. Evolution), and advise on long-term system roadmaps.

## About Autonomize AI

Autonomize AI is an enterprise intelligence platform transforming how healthcare organizations access, orchestrate, and act on complex operational and clinical knowledge. Recognized as a World Economic Forum Technology Pioneer 2026, a Top 100 company on the Inc. 5000, and trusted by three of the five largest U.S. health enterprises, Autonomize AI combines healthcare-specific AI agents, workflow intelligence, and deep domain expertise to enable smarter decision-making across utilization management, care management, claims, pharmacy, and appeals. Backed by Valtruis, Asset Management Ventures, Cigna Group Ventures, ATX Venture Partners, and others. We're building the critical infrastructure for AI-native healthcare operations. We're growing fast and looking for bold, driven teammates to join us.

## The Opportunity

We're looking for a hands-on AI Engineer who's excited to ship real-world applications, not just benchmarks. You'll build and optimize the AI-native systems behind our healthcare agents and copilots, blending LLMs, vision models, and classical ML across structured and unstructured data to power decisions in high-stakes workflows. This role is for someone ready to go deep on applied problems, from retrieval to routing to generation, and push solutions into production fast.

## What You'll Do

- Build production AI pipelines. Own and optimize pipelines that combine LLMs and classical ML (RAG, extraction, scoring, summarization, classification) for utilization management, payment integrity, claims, and appeals.
- Extract from real-world documents. Implement VLM- and OCR-based pipelines that turn medical documents, faxes, and healthcare forms into structured, reliable data.
- Fine-tune and adapt models. Run SFT and parameter-efficient (e.g., LoRA) fine-tuning experiments on open-source and proprietary models.
- Implement retrieval and agents. Build retrieval strategies, prompt chains, tool-using agents, and inference orchestration (e.g., LangGraph) for production use cases.
- Build evals and analyze errors. Create eval harnesses and test sets, run error analysis, and turn findings into measurable accuracy gains.
- Monitor and improve. Track and improve model quality, latency, cost, explainability, and safety in production.
- Experiment fast. Prototype new techniques from recent research and help decide what's ready for production.
- Collaborate. Work closely with senior MLEs, product, engineering, and domain experts, and document your work clearly.

## Qualifications

- 2+ years experience working in applied ML and LLMs.
- Strong Python skills and familiarity with PyTorch, Hugging Face Transformers, and LLM frameworks (LangChain, LangGraph, LlamaIndex).
- Comfort with embeddings, vector search, retrieval pipelines, and prompt engineering.
- Experience fine-tuning or adapting models, plus working knowledge of classical ML and NLP.
- Understanding of model evaluation, observability, and responsible AI practices.
- Experience deploying models to production and familiarity with MLOps tooling (MLflow, Docker, Kubernetes).
- Solid software engineering fundamentals and clean, testable code.
- A bias for experimentation, clarity, and shipping fast.
- Experience with healthcare, compliance-sensitive data, or regulated environments.
- A BS/MS in Computer Science, Engineering, Data Science, or a related field, or equivalent experience.

## Nice to Have

- Experience with VLMs or document AI.
- Exposure to healthcare payer workflows (UM, claims, prior authorization, medical coding).
- Experience with agent frameworks or multi-step reasoning systems.
- Open-source contributions, side projects, or technical writing.

## Who You Are

- Owner mentality. The buck stops with you. You own it, you learn it, and you get it done.
- Naturally curious. You'd rather experiment than hypothesize. You push boundaries and experiment your way through any problem.
- Passionate and unafraid. You're committed to the team and the mission.
- A team player. You love to learn and win together.
- A strong communicator. You're clear in voice, writing, chat, and video.

## What We Offer

- Real-world impact. Your models run in production at some of the largest U.S. health enterprises, shaping decisions in prior authorization, claims, and appeals.
- Category-defining AI products. Help build the AI operating layer for healthcare, a space where the playbook is still being written.
- Hard, unsolved ML problems. Work on VLM document understanding over messy real-world faxes, agentic reasoning over clinical policy, domain fine-tuning (SFT, LoRA, RL), and models that learn from expert feedback in production.
- Research to production, fast. Read the paper, prototype it, ship it. New ideas reach customers in weeks, not quarters.
- Significant ownership and autonomy. Help shape AI strategy, not just execute it.
- Modern stack and compute. You'll have GPU resources and access to the latest open-source and frontier models.
- Build your public profile. Publish papers, file patents, write for our tech blog, and speak at conferences.
- Learn with strong peers. Grow through design reviews, paper discussions, and close collaboration with ML engineers and clinical experts.
- A high-growth environment with exceptional technical challenges.
- Competitive compensation with performance incentives.
- 100% employer-paid health, vision, and dental insurance.
- Retirement plans (401k), disability insurance, and employee assistance programs.

## How To Apply

Send your resume and a brief cover letter to careers@autonomize.ai explaining why you're the right partner for this mission.

Data Science Expert — AI Content Specialist

## About The Role

What if your deep knowledge of machine learning, statistics, and data engineering could directly shape how the world's most advanced AI systems reason and respond?

We're looking for Data Science Experts to work with Alignerr — a team that partners with leading AI research labs to build and refine cutting-edge language models. Your job is to stress-test AI reasoning, author gold-standard solutions, and provide the kind of expert feedback that makes these models genuinely smarter.

This is a fully remote, flexible contract role built for data science professionals who want meaningful work on their own schedule.

- Organization: Alignerr
- Type: Hourly Contract
- Location: Remote
- Commitment: 10–40 hours/week

## What You'll Do

- Design Advanced Challenges — Craft complex, domain-rich data science problems spanning hyperparameter optimization, Bayesian inference, cross-validation strategies, dimensionality reduction, and more
- Author Ground-Truth Solutions — Develop rigorous, step-by-step technical solutions — including Python/R scripts, SQL queries, and mathematical derivations — that serve as the benchmark for AI responses
- Audit AI-Generated Code — Evaluate AI outputs using libraries like Scikit-Learn, PyTorch, and TensorFlow, assessing them for correctness, efficiency, and best practices
- Sharpen AI Reasoning — Identify logical failures such as data leakage, overfitting, or improper handling of imbalanced datasets, and deliver structured feedback that improves how models think

## Who You Are

- Holds or is pursuing a Master's or PhD in Data Science, Statistics, Computer Science, or a related quantitative field
- Strong foundational expertise in core areas such as supervised/unsupervised learning, deep learning, big data technologies (Spark/Hadoop), or NLP
- Able to communicate complex algorithmic concepts and statistical findings clearly in writing
- Highly precise when reviewing code syntax, mathematical notation, and the validity of statistical conclusions
- No prior AI or annotation experience required — your domain expertise is what matters

## Nice to Have

- Experience with data annotation, data quality workflows, or evaluation systems
- Familiarity with production-level data science practices such as MLOps or CI/CD for models

## Why Join Us

- Work directly with industry-leading AI language models on problems that actually matter
- Fully remote and asynchronous — work when and where it suits you
- Freelance autonomy with the structure of meaningful, task-based projects
- Contribute to AI development that shapes how these systems reason through real-world data science problems
- Potential for ongoing work and contract extension as new projects launch

Senior QA Engineer -AI & Engineering

Join our AI & Engineering team in transforming technology platforms, driving innovation, and helping make a significant impact on our clients' success. You'll work alongside talented professionals reimagining and re-engineering operations and processes that are critical to business. Your contributions can help clients improve financial performance, accelerate new digital ventures, and fuel growth through innovation.

AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.

Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.

## Work You'll Do

As an SDET III, you will bring considerable technical expertise to deliver effective solutions to clients including the following:

- Acting as the lead, interfacing between clients and our Deloitte teams.
- Helping to create testing solutions to meet our clients' business needs.
- Leading the testing of custom technology solutions.

## Required Qualifications And Experience

- 6+ years' relevant consulting or industry experience.
- Bachelor's degree in computer science, engineering or a related field.
- 4+ years hands-on experience defining the testing strategy for large scale programs and ensuring requirements traceability throughout the system development lifecycle. Experience should include leading the testing efforts, including experience with all phases of testing: system integration, user acceptance, and performance testing.
- Experience with at least two of the following: TCOE, TMO, mobile testing, automation testing, SAP/Oracle testing, data testing in a client-facing or industry role.
- 4+ years' experience driving the quality assurance processes and gaining delivery and buy-in from executive leadership.
- 2+ years' experience leading teams - onshore, offshore and nearshore.
- Experience with Test and Defect Management tools - MicroFocus, ALM, JIRA.
- 4+ years' experience working in a testing role in different environments including the following: client server, service-oriented architecture, web-based, mainframe-based and three-tier architectures.
- Experience with the following: MicroFocus UFT, Rational Tooling, and Open Source Automation Tools such as Selenium, Cucumber, OpSoapUI, PostMan, RESTAssured, Mockito.
- Experience in at least one Scripting language - Shell, VBScript, Perl or Python.
- Experience with Source Control Systems - SVN or GIT.
- Experience with Build tools - Maven, CircleCI.
- Experience with Automated Reporting.
- Experience with Cloud testing, API testing
- Experience with CI/CD/CT tools - Jenkins, Bamboo, Quickbuild.
- Experience applying prompt engineering techniques to generate, refine, or debug automated test scripts and test data.
- Ability to travel up to 50% of the time, based on the work you do and the clients and industries/sectors you serve.

## Preferred Qualifications And Experience

- Experience working in Cloud, Web and Mobile Testing platforms - Saucelabs, BrowserStack are preferred.
- Hands-on experience with machine learning models.
- Experience in Python NLTK or similar natural language processing technology.
- Experience evaluating or testing AI/LLM-based application features (e.g., chatbots, copilots, RAG-based systems), including prompt-response validation and hallucination/edge-case testing.
- Exposure to AI-assisted defect triage or root-cause analysis tools that reduce manual investigation time.
- Exposure to self-healing test automation frameworks (AI-driven locator repair, visual AI testing).
- Understanding of responsible AI/testing governance principles (bias detection, explainability, model validation) as applied to QE.
- Experience contributing to or influencing AI-adoption roadmaps within a testing/QE organization.
- Experience implementing testing best practices specific to the test planning and execution processes and gaining buy-in for changes from executives.
- A deep understanding of testing planning and associated delivery challenges.
- A strong understanding of the various approaches used in testing techniques - white-box, black-box, load testing, coverage testing and regression testing.

## Sponsorship:

- Limited immigration sponsorship may be available.

## Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $105,400 to $207,800.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

## About Us

Built in KSA and leveraging Silicon Valley expertise, we’re creating innovative solutions in the realm of Voice AI and AI agents. As we continue our rapid growth trajectory in an exciting and dynamic market, we’re looking for A-players to join our team.

## Role Overview

As a Partnership Specialist, you’ll manage and grow Sarj’s strategic partnerships, bringing a structured approach to running multiple partnership projects at once. You’ll be the main point of contact for our partners, coordinating internally across teams to deliver on commitments and identifying opportunities to deepen existing relationships.

## What you’ll do

- Manage and grow a portfolio of strategic partnerships, acting as the main point of contact and driving partner engagement.
- Oversee multiple partnership initiatives, ensuring timelines, deliverables, and internal stakeholders stay aligned.
- Identify opportunities to expand existing partnerships and deepen collaboration.
- Represent Sarj professionally to partners and external stakeholders.
- Work cross-functionally with Commercial, Operations, Product, and Engineering teams to deliver on partnership commitments.
- Track partnership performance, maintain accurate records, and report on progress and outcomes.
- Bring structure and discipline to partnership management through clear processes, ownership, and follow-through.

## What we're looking for

- Bachelor’s degree in Business, Marketing, IT, or a related field.
- Native Arabic speaker with a Saudi dialect and professional English.
- Strong sales, relationship-management, communication, and negotiation skills, with a track record of growing existing partnerships.
- Highly organized and disciplined, able to manage multiple projects and competing deadlines using CRM or project-tracking tools.
- Professional and confident, comfortable representing the brand to partners and external stakeholders.

## Why Join Us?

- Be part of a high-growth, innovative tech start-up.
- Work in a collaborative, mission-driven culture with hands-on exposure to innovative AI products.
- Take ownership, grow, and make a real impact through real-world challenges.

Research Engineer – Code Generation & Model Evaluation Role Type: Contractor Location: Remote

We are seeking experienced Research Engineers to contribute to a project focused on code generation, software engineering, and AI model evaluation.

You'll apply your programming expertise to develop, review, and evaluate real-world coding tasks that help train and improve next-generation AI systems. No prior AI experience is required.

## Scope of Work

- Analyze, debug, and resolve issues across codebases using Python 3, Java, Rust, C++, Go, or TypeScript.
- Implement new features and enhancements for code generation workflows.
- Refactor and optimize code for performance, scalability, and maintainability.
- Develop and review coding tasks to evaluate AI-generated code.
- Provide clear feedback and annotations to support model training and evaluation.
- Collaborate with technical contributors and stakeholders on software quality and technical direction.
- Document technical decisions, solutions, and best practices.

## Required Skills & Qualifications

- Strong expertise in competitive programming, algorithms, and data structures.
- Proficiency in at least one of Python 3, Java, Rust, C++, Go, or TypeScript.
- Experience with debugging, feature implementation, codebase refactoring, and performance optimization.
- Experience with open-source contributions or collaborative software projects.
- Strong analytical and problem-solving abilities.
- Excellent written and verbal communication skills.
- High attention to detail in code validation and output consistency.
- Ability to work independently in a remote environment.

## Compensation

Compensation is output-based, with payment provided per task that meets project requirements. Task completion time may vary based on experience and workflow. Minimum weekly submission requirements apply.

## Start Timeline & Availability

Roles are typically filled within 48 hours. Selected experts should be ready to begin their first tasks within 24–48 hours of completing onboarding.

Advisor, Services Project/Program Management (AI Deployment Program Manager)

It takes something special to drive the development and implementation of new and exciting products and services. That’s a job for our Services Project and Program Management team within Professional Services. The team works closely with sales, customer service, partners, customers and other technical support groups in cross-functional teams. Together, they manage the lifecycle of highly complex, high-risk projects - from design to delivery.

## What you’ll achieve:

As an AI Deployment Program Manager, you will maintain project records, prepare reviews, and assist communications. You will help streamline processes and artifacts across the PMO.

Join us to do the best work of your career and make a profound social impact as an AI Deployment Program Manager on our Services Project/Program Management team.

## You will:

- Manages projects, or specific activities related to projects within given constraints of scope, schedule, budget, and quality through the duration of the project
- Works with external clients/customers to monitor projects from initiation through delivery and ensures technical compatibility for the various accounts
- Organizes the interdepartmental activities ensuring completion of the project/product on schedule and within budget constraints
- Mediates internal issues and conflicting priorities for members of cross-functional teams focused on the delivery of new or existing solutions to clients
- Maintain documentation for assumptions and changes

Take the first step towards your dream career Every Dell Technologies team member brings something unique to the table. Here’s what we are looking for with this role:

## Essential Requirements

- Experience in managing large-scale AI deployments (Approximately - 100-300 NVL72 racks or large No of GPU Servers) :-
- Deployment of AI Servers (Dell/SuperMicro/Lenovo/HPE)
- Deployment of Network Switches (Dell/Nvidia/Arista/Cisco)
- Exposure in project managing Dell EMC Storage/Compute solutions, GenAI Infrastructure Solutions will be an added advantage
- Capable of managing resources including junior project managers, technical resource and external vendors
- Financial experience in revenue and costs forecasting
- Professional working proficiency in English with strong business communication skills
- High amount of travel within Malaysia. A certain degree of travel across South-East Asia will also be required. Some occurrences of travel within APJ could occur
- Flexibility in performing tasks out of office hours when required

## Desirable Requirements

- Bachelor’s degree in Business, Engineering, Project Management, or related field
- PMP certification is advantageous

GRM, AI Developer Intern

About the role

What you'll do

What you'll need

Location & details