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Prolific

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 AI Trainer &ndash; Machine Learning Specialists
 
 
 
 
 About Prolific
 
 
 
 Prolific is not just another player in the AI space &ndash; 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 role
 
 
 
 We're looking for
 
 AI Trainer &ndash; Machine Learning Specialists
 
 to help train and evaluate cutting-edge AI models using real ML 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
 
 $150/hr per AI task completed
 
 . You must be prepared to complete paid tasks that require
 
 one hour of uninterrupted work
 
 , though many are shorter.
 
 
 What you'll bring
 
 
 <ul>
 <li>
 AI Training task skills and verifiable professional experience as a Machine Learning Specialist (e.g., ML engineer, data scientist, applied scientist, research engineer)
 </li>
 <li>
 A willingness to take our skills verification test to assess your suitability for our participant pool
 </li>
 <li>
 Strong attention to detail and the ability to concentrate on complex tasks for up to one hour at a time
 </li>
 <li>
 A reliable and fast internet connection and access to a computer
 </li>
 <li>
 A willingness to self-declare your earnings, as our participants are self-employed
 </li>
 <li>
 A Paypal account to receive payment from our clients
 
 
 </li>
 </ul>
 
 What you'll be doing in the role
 
 
 
 <ul>
 <li>
 Completing AI training tasks such as analyzing, editing, and writing annotations (including technical reasoning and structured evaluation)
 </li>
 <li>
 Judging the performance of AI in performing ML-relevant tasks (e.g., model/experiment critique, data leakage detection, metrics interpretation, debugging approach, methodology review)
 </li>
 <li>
 Improving cutting-edge AI models by providing expert feedback on correctness, robustness, clarity, and technical depth
 
 
 </li>
 </ul>
 
 Key Technologies
 
 
 
 <ul>
 <li>
 General AI Training
 </li>
 <li>
 Model Evaluation and Evals
 </li>
 <li>
 Trust and Safety
 </li>
 <li>
 Red Teaming
 </li>
 <li>
 Quality Analytics
 </li>
 <li>
 Data/ML Concepts (e.g., supervised learning, deep learning, NLP, CV, statistics, experimentation)
 
 
 </li>
 </ul>
 
 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 professional machine learning 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 &ndash; one that reflects the breath and the best of humanity.
 
 
 
 Links to more information on Prolific
 
 
 
 Website
 
 
 Youtube
 
 
 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 personal information.
</div>

AI Training - Machine Learning Specialist (PST)

Handshake

<div>
 
 About Handshake
 
 
 
 Handshake is the career network for the AI economy. More than 20 million knowledge workers, 1,600 educational institutions, and 1 million employers &mdash; including 100% of the Fortune 50 &mdash; trust Handshake to power career discovery, hiring, and upskilling. From freelance AI training gigs to first internships to full-time careers and beyond, we connect talent with opportunity at every stage.
 
 
 This unique position in the ecosystem is driving exceptional growth &mdash; in 2025, we tripled ARR at scale.
 
 
 
 Why Join Handshake Now
 
 
 
 <ul>
 <li>
 Shape how careers evolve in the AI economy at global scale, with visible real-world impact
 </li>
 <li>
 Work directly with leading AI labs, Fortune 500 partners, and top educational institutions
 </li>
 <li>
 Help build a rapidly scaling business on a path toward multi-billion-dollar revenue
 
 
 </li>
 </ul>
 
 The Role
 
 
 
 As a
 
 AI/Machine Learning Engineering Intern
 
 , you will contribute to building intelligent product experiences that help students discover and secure opportunities. Your work will span search, recommendations, matching, and other discovery systems that power job exploration on Handshake.
 
 
 You will gain hands-on experience developing, evaluating, and deploying machine learning models in a production environment, learning how large-scale ML systems are designed, optimized, and maintained.
 
 
 This is a paid, full-time summer internship with two cohort options:
 
 
 <ul>
 <li>
 May 18 &ndash; August 7, 2026
 </li>
 <li>
 June 15 &ndash; September 4, 2026
 
 
 </li>
 </ul>
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Partner with senior engineers and data scientists to develop machine learning models that improve user experience
 </li>
 <li>
 Build Agentic pipelines/workflows to improve the Handshake student/employer user experience
 </li>
 <li>
 Contribute to experimentation, model evaluation, and performance monitoring
 </li>
 <li>
 Participate in technical discussions, brainstorming sessions, and team reviews
 </li>
 <li>
 Document methodologies and findings to support knowledge sharing and long-term system improvements
 
 
 </li>
 </ul>
 
 You Have
 
 
 
 
 Must Haves
 
 
 
 <ul>
 <li>
 Are currently pursuing a degree in Computer Science, Data Science, or a related field
 </li>
 <li>
 Have strong programming skills in Python and experience with ML frameworks such as PyTorch or TensorFlow
 </li>
 <li>
 Have exposure to software engineering best practices (version control, testing, code reviews)
 </li>
 <li>
 Have familiarity with data analysis techniques and experience with SQL
 </li>
 <li>
 Have strong problem-solving skills and the ability to work in a collaborative team environment
 </li>
 <li>
 Have strong communication skills and are able to explain technical concepts effectively
 
 
 </li>
 </ul>
 
 Bonus Points
 
 
 
 <ul>
 <li>
 Experience with cloud platforms such as AWS, Google Cloud, or Azure
 </li>
 <li>
 Experience with modern coding tools like Cursor/Claude code/Codex
 </li>
 <li>
 Prior internship or project experience in applied machine learning in domains such as NLP, search and recommendation systems
 
 
 </li>
 </ul>
 
 We Offer
 
 
 
 Handshake provides benefits that help you feel supported and thrive at work and in life.
 
 
 (The below benefits apply to US-based interns.)
 
 
 <ul>
 <li>
 💰 Competitive hourly compensation
 </li>
 <li>
 📚 Mentorship and hands-on learning from experienced ML engineers
 </li>
 <li>
 💻 5 days/week in-office experience
 </li>
 <li>
 🤝 Structured intern programming and team events
 
 
 </li>
 </ul>
 Explore our mission, values, and open roles at
 
 joinhandshake.com/careers
 
 .
 
 
</div>

AI/Machine Learning Engineer Intern

Stealth AI Startup

<div>
 
 About the Role
 
 
 We are seeking an exceptional Lead Researcher to lead and scale a world-class AI research organization focused on advancing the state of the art in machine learning, large language models, and applied AI systems. This role is both
 
 strategic and hands-on
 
 , responsible for defining long-term research vision while actively contributing to breakthrough innovations that directly impact product and business outcomes.
 
 
 As Head of Research, you will build, mentor, and manage a high-caliber team of researchers and research engineers, partner closely with executive leadership, and translate cutting-edge research into scalable, real-world systems.
 
 
 Key Responsibilities
 
 <ul>
 <li>
 Define and own the
 
 research vision and roadmap
 
 , aligned with company strategy and long-term goals
 </li>
 <li>
 Lead and grow a team of
 
 AI Researchers, Applied Scientists, and Research Engineers
 
 </li>
 <li>
 Drive innovation across areas such as:
 </li>
 <li>
 Large Language Models (LLMs)
 </li>
 <li>
 Reasoning and planning systems
 </li>
 <li>
 Representation learning
 </li>
 <li>
 Robustness, safety, and evaluation
 </li>
 <li>
 Multimodal and agent-based systems
 </li>
 <li>
 Balance
 
 long-horizon exploratory research
 
 with
 
 near-term applied research
 
 that powers products
 </li>
 <li>
 Ensure research excellence through strong scientific rigor, reproducibility, and evaluation standards
 </li>
 <li>
 Collaborate with Product, Engineering, and Leadership to transition research into production
 </li>
 <li>
 Represent the company externally through publications, conferences, and industry engagement
 </li>
 <li>
 Establish best practices for research processes, tooling, and infrastructure
 </li>
 <li>
 Mentor senior researchers and develop future research leaders
 </li>
 </ul>
 
 Required Qualifications
 
 <ul>
 <li>
 PhD in Computer Science, Machine Learning, AI, or a closely related field (or equivalent research experience)
 </li>
 <li>
 0-7 years of experience in AI/ML research, with at least several years in a
 
 research role
 
 </li>
 <li>
 Proven track record of
 
 high-impact research contributions
 
 (top-tier conferences, journals, or widely adopted systems)
 </li>
 <li>
 Deep expertise in modern ML techniques, especially
 
 LLMs, deep learning, and foundation models
 
 </li>
 <li>
 Experience leading and scaling research teams in industry or advanced research labs
 </li>
 <li>
 Strong understanding of the tradeoffs between research innovation and production constraints
 </li>
 <li>
 Ability to communicate complex technical ideas clearly to both technical and non-technical stakeholders
 </li>
 </ul>
 
 Preferred Qualifications
 
 <ul>
 <li>
 Experience leading research at a top AI lab, FAANG company, or well-known AI startup
 </li>
 <li>
 Publications at leading venues (e.g., NeurIPS, ICML, ICLR, ACL, EMNLP)
 </li>
 <li>
 Experience with model training at scale, including distributed systems and ML infrastructure
 </li>
 <li>
 Background in deploying research models into real-world products
 </li>
 <li>
 Prior experience influencing company-level technical strategy
 </li>
 </ul>
 
 What We Offer
 
 <ul>
 <li>
 
 Base salary up to $500,000
 
 , plus competitive equity
 </li>
 <li>
 Opportunity to shape the future direction of cutting-edge AI research
 </li>
 <li>
 Access to significant compute and research resources
 </li>
 <li>
 Collaboration with elite engineers, researchers, and product leaders
 </li>
 <li>
 A culture that values deep thinking, experimentation, and long-term impact
 </li>
 </ul>
 
 
</div>

AI Scientist - LLMs [32814]

OpenAI

<div>
 
 About The Team
 
 
 
 The Integrity team at OpenAI is dedicated to ensuring that our cutting-edge technology is not only revolutionary, but also secure from a myriad of adversarial threats. We strive to maintain the integrity of our platforms as they scale.
 
 
 The Integrity team is at the front lines of defending against misuse in all its forms: content abuse, scaled attacks, and other actions that could undermine the user experience or harm our operational stability.
 
 
 
 About The Role
 
 
 
 As a Machine Learning Engineer in OpenAI's Integrity team, you will have the opportunity to work with some of the brightest minds in AI. You&rsquo;ll work on state-of-the-art models and classifiers, experiment with new architecture and approaches, and push forward our abilities in content and user understanding. You&rsquo;ll help turn research breakthroughs into tangible solutions that improve the trust and safety of our platform. If you're excited about training LLMs and building ML models, this role is your chance to make a significant mark.
 
 
 
 In This Role, You Will
 
 
 
 <ul>
 <li>
 Innovate and Deploy: Design and deploy advanced machine learning models that solve real-world problems. Bring OpenAI's research from concept to implementation, creating AI-driven applications with a direct impact.
 </li>
 <li>
 Collaborate with the Best: Work closely with researchers, software engineers, and product managers to understand complex business challenges and deliver AI-powered solutions. Be part of a dynamic team where ideas flow freely and creativity thrives.
 </li>
 <li>
 Optimize and Scale: Implement scalable data pipelines, optimize models for performance and accuracy, and ensure they are production-ready. Contribute to projects that require cutting-edge technology and innovative approaches.
 </li>
 <li>
 Learn and Lead: Stay ahead of the curve by engaging with the latest developments in machine learning and AI. Take part in code reviews, share knowledge, and lead by example to maintain high-quality engineering practices.
 </li>
 <li>
 Make a Difference: Monitor and maintain deployed models to ensure they continue delivering value. Your work will directly influence how AI benefits individuals, businesses, and society at large.
 
 
 </li>
 </ul>
 
 You Might Thrive In This Role If You
 
 
 
 <ul>
 <li>
 Master's/ PhD degree in Computer Science, Machine Learning, Data Science, or a related field.
 </li>
 <li>
 Demonstrated experience in deep learning and transformers models
 </li>
 <li>
 Experience with content understanding or abuse prevention with LLMs is a plus
 </li>
 <li>
 Proficiency in frameworks like PyTorch or Tensorflow
 </li>
 <li>
 Strong foundation in data structures, algorithms, and software engineering principles.
 </li>
 <li>
 Are familiar with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
 </li>
 <li>
 Excellent problem-solving and analytical skills, with a proactive approach to challenges.
 </li>
 <li>
 Ability to work collaboratively with cross-functional teams.
 </li>
 <li>
 Ability to move fast in an environment where things are sometimes loosely defined and may have competing priorities or deadlines
 </li>
 <li>
 Enjoy owning the problems end-to-end, and are willing to pick up whatever knowledge you're missing to get the job done
 
 
 </li>
 </ul>
 
 About OpenAI
 
 
 
 OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
 
 
 We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
 
 
 For additional information, please see OpenAI&rsquo;s Affirmative Action and Equal Employment Opportunity Policy Statement.
 
 
 Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
 
 
 To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
 
 
 We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
 
 
 OpenAI Global Applicant Privacy Policy
 
 
 At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
 
 
 Compensation Range: $266K - $555K
</div>

Machine Learning Engineer, Integrity

ChatGPT Jobs

<div>
 
 Job Description
 
 
 
 Machine Learning Engineer
 
 
 
 Company:
 
 Harnham
 
 
 
 Location:
 
 San Francisco, CA
 
 
 <ul>
 <li>
 Remote
 
 
 </li>
 </ul>
 
 Type:
 
 Full-time
 
 
 
 Posted:
 
 10 hours ago
 
 
 
 Job Description
 
 
 
 
 MACHINE LEARNING ENGINEER - MULTIMODAL AI
 
 
 
 
 FULLY REMOTE
 
 
 
 
 $260,000 - $325,000
 
 
 
 An exciting opportunity for an experienced Machine Learning Engineer to join a team building next-generation multimodal AI systems for media generation. This role is ideal for someone with strong engineering skills, deep ML experience, and a passion for turning cutting-edge research into production-ready systems.
 
 
 You'll work on generative models for image and video, collaborating closely with engineering and product teams to bring AI-driven creative tools to life.
 
 
 
 The Company
 
 
 
 The company is a leader in AI-powered creative technology, pushing the boundaries of content creation on the browser. The engineering team is highly collaborative, fast-moving, and focused on building human-in-the-loop systems that scale.
 
 
 THE ROLE
 
 
 Hands-on engineering role focused on developing and deploying advanced ML models.
 
 
 <ul>
 <li>
 Develop computer vision and generative AI models for image and video
 </li>
 <li>
 Prototype and iterate on research solutions under tight timelines
 </li>
 <li>
 Collaborate with engineering, product, and research teams to productionize models
 </li>
 <li>
 Ensure clean, maintainable, and high-performance code
 
 
 </li>
 </ul>
 
 Your Skills &amp; Experience
 
 
 
 <ul>
 <li>
 5+ years in ML, computer vision, graphics, or related research/engineering roles
 </li>
 <li>
 Strong programming skills; experience with CUDA and C++ for performance optimizations
 </li>
 <li>
 Experience with at least one ML framework (PyTorch, TensorFlow)
 </li>
 <li>
 Deep interest in human-in-the-loop systems for creativity
 </li>
 <li>
 Ability to rapidly prototype and iterate on solutions
 </li>
 <li>
 Excellent collaboration, communication, and documentation skills
 
 
 </li>
 </ul>
 
 How To Apply
 
 
 
 Please register your interest by sending your resume to Calum Reid via the apply link on this page.
 
 
 
 About Harnham
 
 
 
 <ul>
 <li>
 Company size: 51 - 200 Employees
 </li>
 <li>
 Headquarters location: New York, NY, US
 </li>
 <li>
 Year founded: 2006
 </li>
 </ul>
</div>

Machine Learning Engineer

Andiamo

<div>
 Senior Technical Recruiter
 
 
 
 About Us
 
 
 
 We are building the infrastructure layer for modern AI. Our cloud platform enables companies to train, deploy, and run large scale AI models faster, more efficiently, and at massive scale.
 
 
 With more than $200M in funding and rapid customer adoption, we are helping define the next generation of AI infrastructure. Our platform powers teams building advanced machine learning systems across industries ranging from autonomous systems to enterprise software.
 
 
 We are growing quickly and assembling a world class team of engineers, researchers, and builders who are passionate about pushing technology forward.
 
 
 
 About The Role
 
 
 
 We are looking for an exceptional Senior Technical Recruiter to help build the teams powering our next phase of growth.
 
 
 You will own full cycle recruiting for highly technical roles across engineering, infrastructure, and machine learning. You will partner closely with hiring managers and engineering leadership while driving sourcing strategies that consistently attract elite technical talent.
 
 
 This role requires someone who thrives in competitive markets, builds strong relationships with passive candidates, and takes pride in delivering exceptional candidate experiences.
 
 
 What You Will Do
 
 
 <ul>
 <li>
 Own full cycle recruiting for technical roles including distributed systems engineering, machine learning infrastructure, platform engineering, and related disciplines.
 </li>
 <li>
 Develop and execute sourcing strategies to engage highly sought after technical candidates through outbound sourcing, research, referrals, and network development.
 </li>
 <li>
 Partner closely with engineering leaders and hiring managers to deeply understand team needs and role requirements.
 </li>
 <li>
 Screen and evaluate candidates while maintaining a high technical bar and strong candidate experience.
 </li>
 <li>
 Manage and nurture relationships with senior level and passive candidates across the AI and infrastructure ecosystem.
 </li>
 <li>
 Drive efficient hiring processes from initial outreach through offer negotiation and closing.
 </li>
 <li>
 Help refine and improve recruiting processes as the company continues to scale.
 
 
 </li>
 </ul>
 What Makes You Successful In This Role
 
 
 <ul>
 <li>
 5 or more years of full cycle recruiting experience with a strong focus on technical hiring.
 </li>
 <li>
 Experience recruiting engineers in areas such as distributed systems, infrastructure, machine learning, or AI platforms.
 </li>
 <li>
 Track record of sourcing and closing highly competitive technical candidates.
 </li>
 <li>
 Ability to understand complex technical roles and communicate credibly with engineering leaders.
 </li>
 <li>
 Strong relationship builder who develops trust with candidates and hiring managers.
 </li>
 <li>
 Highly organized with strong prioritization and execution skills in fast moving environments.
 
 
 </li>
 </ul>
 
 Compensation &amp; Benefits
 
 
 
 We offer competitive compensation including base salary and equity. Benefits include health coverage, flexible vacation, retirement plans, and additional perks that support employee wellbeing and growth.
 
 
 
 About Andiamo
 
 
 
 Talent Partners for the AI Revolution. As a globally recognized staffing and consulting firm, we specialize in placing the top 2% of technology and go-to-market professionals with the world&rsquo;s largest and most well-known companies.
 
 
 For over 20 years, we've maintained the status of tier-one vendor for firms such as Palantir, Amazon, Fluidstack, Bloomberg, Relativity Space, Firefly, MasterCard, Visa, Two Sigma, Citadel, as well as other major financial services firms, elite hedge funds, Google-backed tech start-ups, and major software firms.
 
 
 Our talent solutions include Permanent Placement, Contract Staffing, Executive Search, and Dedicated Recruiting Services (RPO). Find out more at www.andiamogo.com
</div>

Senior Talent Acquisition Specialist

MERCOR

<div>About the job
Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.
Position: Transcribing and Writing Expert 
Type: Contract 
Compensation: $50/hour 
Location: Remote 
Duration: 3&ndash;6 months
Role Responsibilities<ul><li>
Transcribe audio and video with precision in Dutch, supporting work in English when required.</li><li>
Establish evaluation standards for consumer audio contexts.</li><li>
Develop evaluation rubrics and guidelines in Dutch and English.</li><li>
Test models and assess outputs against expectations.</li><li>
Collaborate in QA processes to ensure task and rubric quality.</li><li>
Maintain consistency before integration into benchmarks.</li></ul>
Qualifications
Must-Have<ul><li>
Strong writing and critical thinking skills</li><li>
Ability to work independently and meet deadlines</li><li>
Fluent in Dutch and English</li><li>
Able to work within GMT or PST working hours</li></ul>
Preferred<ul><li>
College students or graduates</li></ul>
Application Process (Takes 20&ndash;30 mins to complete)<ul><li>
Upload resume</li><li>
AI interview based on your resume</li><li>
Submit form</li></ul>
Resources &amp; Support<ul><li>
For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome/welcome</li><li>
For any help or support, reach out to: support@mercor.com</li></ul>
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.</div>

Language Specialist

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