Machine Learning Researcher - AI - Remote
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI hires computer science and AI/ML researchers for hourly, project-based work that improves how models handle technical research. You will judge AI-generated answers, build expert training examples, and give written feedback grounded in machine learning, artificial intelligence, and CS research methods. The role is remote and asynchronous, with no minimum hours; contributors on active projects tend to log about 5 to 20 hours each week. Placement hinges on current project needs, and strong contributors may qualify for later projects. The listing notes you do not need prior experience with AI training work.
What You'll Do8
- 1Review AI-generated responses for factual accuracy, relevance, and alignment with current CS and AI/ML research.
- 2Produce expert-level training data that captures research methods and domain knowledge.
- 3Compare model claims against academic sources and explain where outputs miss the mark.
- 4Flag gaps, errors, or outdated references in generated technical content.
- 5Apply your background in fields such as computer vision, natural language processing, or multiagent systems.
- 6Send clear written feedback to AI research teams on an asynchronous schedule.
- 7Track your own tasks and hours without a minimum each week.
- 8Join active projects when your expertise matches current needs, with chances for future project placements.
Requirements7
- 1PhD in computer science, machine learning, artificial intelligence, or a related discipline from a top 100 US university.
- 2Research experience in one or more areas: machine learning, AI, computer vision, natural language processing, neural and evolutionary computing, robotics, systems and control, or multiagent systems.
- 3Working knowledge of arXiv.org and the Computing Research Repository (cs).
- 4Strong writing skills for technical evaluation and feedback.
- 5High attention to detail when reviewing research claims and model outputs.
- 6Ability to set your own schedule and share feedback with research teams on an asynchronous basis.
- 7No prior AI training work required.
Who Should Apply
PhD holders with research depth in machine learning, AI, computer vision, NLP, robotics, or a related CS area fit this project well. The role suits researchers who can write precise technical feedback, read arXiv papers with ease, and work without constant supervision. Candidates who lack a PhD from a top 100 US university, or who have no research background in the listed subfields, may score lower on fit. A common rejection reason is sending generic applications that do not name your specific research area or show familiarity with the cs repository. Another low-fit signal is weak written communication, since the work depends on clear explanations of why an AI response is correct or wrong.
Salary Insight
The listing advertises up to $75.00 per hour. That ceiling fits senior, PhD-level AI training work, where pay often reflects your domain expertise and the project's scope. Actual hours vary by project, and the source does not guarantee a set number of hours each week or a fixed total. You will confirm the rate and project terms during onboarding or matching conversations.
Pay and demand for Machine Learning & AI roles
AggregatedTypical pay
$75/hour
This role
up to $75/hr
Most Machine Learning & AI roles pay $55–$100 per hour. This role's pay falls inside that range.
Based on 513 similar roles that publish pay · 90 publish only a top rate; those count at the rate they gave
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 570
- Listed in last 30 days
- 253
- Remote
- 97%
Hiring most right now: micro1 (262) · Mercor (79) · SME Careers (60)
Most requested skills · share of roles
- python17%
- technical writing9%
- llm evaluation8%
- data annotation7%
Figures from Machine Learning & AI roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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Compensation
Up to $75/hr
Required Skills
Application Tip
Name your PhD field, university, and graduation year near the top of your profile, then list two or three research areas from the posting, such as natural language processing, computer vision, or multiagent systems. Link to your arXiv papers or Google Scholar page to prove cs repository familiarity, and include a short writing sample that critiques a technical AI answer. Those details help reviewers match you to an active project faster.
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