Machine Learning Researcher - AI
Listing checked October 24, 2026 · pay as published by Handshake AI
Key details
- Pay
- Up to $75/hr
- Location
- RemoteUnited States
- Job type
- Part-Time
- Posted
- October 21, 2026
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
- Review AI-generated responses for factual accuracy, relevance, and alignment with current CS and AI/ML research.
- Produce expert-level training data that captures research methods and domain knowledge.
- Compare model claims against academic sources and explain where outputs miss the mark.
- Flag gaps, errors, or outdated references in generated technical content.
- Apply your background in fields such as computer vision, natural language processing, or multiagent systems.
- Send clear written feedback to AI research teams on an asynchronous schedule.
- Track your own tasks and hours without a minimum each week.
- Join active projects when your expertise matches current needs, with chances for future project placements.
Requirements7
- PhD in computer science, machine learning, artificial intelligence, or a related discipline from a top 100 US university.
- Research 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.
- Working knowledge of arXiv.org and the Computing Research Repository (cs).
- Strong writing skills for technical evaluation and feedback.
- High attention to detail when reviewing research claims and model outputs.
- Ability to set your own schedule and share feedback with research teams on an asynchronous basis.
- No 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
Market estimates from live NearSkill listings — separate from this job's published terms.
This role · as published
Up to $75/hr
Taken from the listing itself.
Typical pay · estimated
$70/hour
Median of 1,307 similar roles that publish pay · 304 publish only a top rate; those count at the rate they gave
Most Machine Learning & AI roles pay $40–$100 per hour. This role's pay falls inside that range.
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
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Most requested skills · share of roles
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