STEM PhD AI Trainer - LATAM Remote
Listing checked October 23, 2026 · pay as published by Handshake AI
Key details
- Pay
- Up to $50/hr
- Location
- Remote
- Job type
- Part-Time
- Posted
- July 3, 2026
Overview
Handshake runs a year-round fellowship that puts STEM doctoral expertise to work on large language models. Researchers based anywhere in LATAM join a distributed group of subject-matter specialists who sharpen how AI systems handle advanced scientific and technical material. Assignments arrive asynchronously, so you set your own hours around a commitment of roughly 10 to 20 hours each week. Work centers on writing domain prompts and judging model responses, and you can spend part of the time researching topics that matter to your field with AI as a research partner. Project slots open by discipline, so timing depends on what is active when you apply.
What You'll Do8
- Write prompts that test how well a model reasons through problems in your scientific discipline
- Review model answers and score them against criteria you help define
- Document the reasoning behind each evaluation so other reviewers can follow your judgment
- Translate dense research concepts into plain task instructions a model can act on
- Research current topics in your field, using AI tools to speed up background reading
- Flag answers where the model misstates a core principle or invents a result
- Adapt your evaluation approach as project leads shift the focus of a study
- Track the hours you spend and report progress on assigned tasks
Requirements6
- Enrolled in or finished a doctoral program in Mathematics, Chemistry, Biology, Physics, or Engineering, or working in a postdoctoral post
- Reside in LATAM for the duration of the project
- Write clearly enough to turn complex research into structured instructions and scoring rubrics
- Confidence that your subject knowledge beats what current AI systems produce on key concepts in your field
- Comfort working on your own schedule without direct supervision
- Availability of about 5 to 20 hours per week while a project is active
Who Should Apply
Doctoral candidates, recent PhD graduates, and postdocs in math, chemistry, biology, physics, or engineering fit this best, mainly because the task asks you to judge whether a model got the science right. You should also be someone who enjoys writing. A large share of the work is turning your reasoning into instructions and criteria another person can read and reuse. The role suits people who want part-time, self-directed income alongside research or teaching, not a fixed 40-hour post. Candidates lose fit points when they submit a generic application that never names their subfield or a specific research area, since placement depends on matching your specialty to an open project. Weak writing samples also hurt. If your evaluations read as vague or your prompts lack precision, reviewers have little to judge your expertise by.
Salary Insight
Pay reaches up to $50.00 per hour, and you work as an independent contractor rather than an employee. That ceiling sits above typical rates for general data annotation and closer to what specialist scientific evaluation work pays, though the exact figure you receive depends on the project and your background. Hours are not guaranteed, so weekly earnings track how much time an active project gives you.
Pay and demand for AI Training roles
Market estimates from live NearSkill listings — separate from this job's published terms.
This role · as published
Up to $50/hr
Taken from the listing itself.
Typical pay · estimated
$70/hour
Median of 1,264 similar roles that publish pay · 301 publish only a top rate; those count at the rate they gave
Most AI Training roles pay $40–$95 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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- Listed in last 30 days
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Hiring most right now: micro1 (388) · SME Careers (253) · Mercor (220)
Most requested skills · share of roles
- ai evaluation14%
- llm evaluation12%
- data annotation12%
- ai training12%
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