STEM Professor AI Fellowship - Remote Part-Time
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI seeks faculty in mathematics, chemistry, biology, physics, or engineering to join its AI research community as fellows. Fellows work from any location and set their own schedule, committing around 10 to 20 hours each week. The project centers on building domain prompts and judging how well large language models answer in your field. Assignments open throughout the year, though availability depends on the discipline. Project placement follows demand, so start dates vary.
What You'll Do6
- 1Develop domain-specific prompts that test how large language models reason about topics in your field.
- 2Evaluate model responses for accuracy, logic, and alignment with accepted scientific knowledge.
- 3Write structured task instructions and evaluation criteria that other experts can apply.
- 4Research subjects that interest you, using AI tools as support.
- 5Identify errors, gaps, or misleading claims in model output.
- 6Translate complex research concepts into clear prompts and assessment rubrics.
Requirements8
- 1Hold current or emeritus faculty status as an assistant, associate, or full professor in mathematics, chemistry, biology, physics, or engineering.
- 2Publish more than five peer-reviewed papers, including at least one from 2025 or 2026.
- 3Show an H-index above 20 and more than 2,000 total citations.
- 4Write with enough clarity to turn complex research into structured task instructions and evaluation criteria.
- 5Demonstrate confidence that your domain knowledge can outmatch current AI systems at explaining key concepts.
- 6Live in the U.S. and hold valid employment authorization.
- 7Qualify under eligible work or training status, such as F-1/OPT, J-1, or H-1B, if you are a doctoral student, candidate, or recent graduate.
- 8Confirm that you do not require an i-983 for STEM OPT, because the program cannot accommodate that case at this time.
Who Should Apply
The role fits faculty in mathematics, chemistry, biology, physics, or engineering who hold current or emeritus status and meet the publication thresholds: more than five peer-reviewed papers, at least one from 2025 or 2026, an H-index above 20, and more than 2,000 citations. Candidates also need strong written communication and confidence that they can explain core concepts better than current AI systems. This work suits U.S.-based academics who want flexible, part-time project work and can commit 10 to 20 hours each week. Researchers below the citation or H-index cutoffs often get filtered out before review, so this role is less suitable for them. A visa that requires an i-983 creates a mismatch, because the program cannot accommodate those candidates at this time.
Salary Insight
Pay reaches up to $150.00 per hour. For project-based AI training work, that top rate sits near the high end and matches advanced subject-matter experts with strong publication records. The source does not list a lower bound, so final pay depends on the project and your qualifications.
Pay and demand for Machine Learning & AI roles
AggregatedTypical pay
$75/hour
This role
up to $150/hr
Most Machine Learning & AI roles pay $55–$100 per hour. This role's pay sits above that range.
Based on 520 similar roles that publish pay · 91 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.
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Compensation
Up to $150/hr
Required Skills
Application Tip
Lead with your publication metrics: list your H-index, total citations, and the 2025 or 2026 paper, then add a short writing sample that turns one complex concept from your field into clear task instructions and evaluation criteria. Those two items map to the screens this fellowship uses.
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