Science & Research AI Training Jobs

Science AI training jobs pay researchers to write and verify the physics, chemistry, biology and math that models train on. Frontier labs are pushing models toward graduate-level scientific reasoning, and the ceiling on that is the supply of scientists willing to author problems, check derivations and grade proofs. That is what these listings buy.

Below is every live science and research listing from the six marketplaces in this feed, refreshed daily, with published rates.

145 open science & research listings live right now.

On this page:Developmental Psychology AI Training Jobs
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Developmental Psychology AI Training Jobs

Developmental psychology AI training jobs pay PhDs in child development to judge whether an AI system understands children. micro1 is the marketplace posting at volume here: a customer project with a hundred-plus remote contractor seats for people with a doctorate in developmental psychology, child development or a closely related field, with or without clinical experience. The work is evaluating and annotating child-development data, reviewing model outputs for developmental accuracy and cultural appropriateness, building test scenarios around how children learn and behave, and writing guidelines that shape how the model handles linguistic, cognitive and psychosocial development across backgrounds.

Language is the second filter after the credential. The listing prioritises people who also work in Japanese, French, Tagalog, Malay, Lithuanian, Russian, Georgian, Polish, Marathi, Bengali, Urdu, Vietnamese, Swahili, Mandarin, Cantonese, Indonesian, Turkish, Gujarati or Bulgarian, because the project needs developmental judgement that holds outside English. A postdoc in Pune, Manila, Warsaw or Istanbul is exactly who it is written for, and no AI experience is required.

The screen is micro1’s AI interviewer, Zara: a structured video conversation in your own field that follows up on what you actually say. It rewards reasoning aloud about a developmental scenario, naming the age band and the cultural context, and saying where the textbook answer would be wrong; it penalises reciting. Candidates who pass go into micro1’s talent pool and are matched to the project as seats open, so the interview is the whole gate. Practise that format before you sit it.

1 open developmental psychology listing right now.

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What the work looks like

The core task: produce problems a model cannot pattern-match its way through, with worked solutions a grader can verify. That means exam-grade questions with rationales, derivations checked step by step, experimental-design critiques, and grading model attempts at published-paper reasoning. Math work runs from olympiad problems to real analysis; lab sciences lean on mechanism and methods questions.

The bar is graduate-level command of a field. PhDs and PhD students dominate the contributor pool, but a masters with research experience passes many screens. What the assessments filter for is rigor: whether your solution is airtight and whether you catch the subtle error planted in someone else’s.

Where these listings come from

Six marketplaces publish this work openly. Every listing above links to the one that posted it, and each has its own page here covering pay, screening and who gets hired.

MercorOutlierDataAnnotationAlignerrmicro1Terac

Science & research AI training jobs, answered

What do scientists do in AI training work?

Author original problems with worked solutions, verify other contributors’ solutions, grade model reasoning against rubrics, and stress-test models with questions where the plausible answer is wrong. Some projects are field-specific, organic synthesis routes, quantum mechanics derivations, genetics problem sets; others want general scientific-method judgment. It is the problem-setting side of academia, paid by the hour.

How much do science AI training jobs pay?

Published rates typically run $40 to $100 an hour, with math and physics problem authoring at the upper end and some specialist projects above it. That is competitive with adjunct and postdoc hourly equivalents by a wide margin, which is why the contributor pool is full of academics. Rates are on each card above.

Do I need a PhD?

For the best-paid authoring work, usually yes or nearly: labs want problems that challenge models trained on every textbook, and that takes research-level depth. Verification and grading roles accept masters-level scientists and strong undergraduates in math. Every screen is a work test, so demonstrated rigor can outrun the credential.

Can academics do this without conflicts?

Generally yes. The work is independent contracting on original problems, not university IP, and it does not involve your research data. Check two things: your institution’s outside-consulting policy, most allow a day a week, and grant terms if you are federally funded. The marketplace NDA covers the other direction: you cannot publish or reuse the problems you author.

How are scientists screened?

Credential verification plus a subject assessment: solve problems, find the planted error, write a solution to grading standard. Mercor adds a recorded AI interview where you reason aloud. Scientists fail these by writing for peers instead of for a rubric; the screens reward complete, legible reasoning at the level of a very good TA. That style is practisable before the real screen.

The screen is where these roles are won

Every marketplace above screens with an interview or assessment in your own domain before assigning paid work. Run that interview with Skillora first and get feedback on how you explained your reasoning, not just on what you said.

Practise the screen free

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