Computer Science Expert - Remote AI Fellowship
Listing checked September 18, 2026 · pay as published by Handshake AI
Overview
Handshake AI runs a year-round fellowship that brings doctoral students and graduates in Computer Science together to improve Large Language Models. Fellows work from any location and set their own hours, with no minimum weekly commitment. Assignments focus on writing domain-specific prompts and reviewing model outputs for accuracy and reasoning. Project availability shifts by domain, so placement depends on current openings.
What You'll Do8
- 1Create domain-specific prompts that test how LLMs handle computer science topics.
- 2Review and critique model responses for technical accuracy and clarity.
- 3Compare LLM output with established CS concepts and explain any gaps.
- 4Research current computing topics to build better evaluation examples.
- 5Document reasoning behind prompt design and scoring decisions.
- 6Work with leading AI labs on async project tasks when assigned.
- 7Complete project work on your own schedule without a minimum hour requirement.
- 8Study subjects that interest you, using AI tools as research support.
Requirements6
- 1Doctoral student or graduate in Computer Science, including current enrollees and postdoctoral researchers.
- 2Strong grasp of core CS concepts such as algorithms, systems, or theory.
- 3Ability to explain complex computing topics in clear written English.
- 4Comfort working on async projects with limited real-time supervision.
- 5Confidence that your domain knowledge exceeds current AI system performance.
- 6Access to reliable internet and a remote work setup.
Who Should Apply
The right fit is a CS doctoral student, postdoc, or recent graduate who can write precise prompts and judge model answers against real computer science knowledge. You enjoy independent research and can commit to project work without fixed hours. This role is less suited to people who need structured daily tasks, close mentorship, or a guaranteed number of hours each week. Applicants often score low when they submit generic credentials without showing depth in a specific CS area. Another common miss is treating the work as simple data labeling rather than expert evaluation that requires technical reasoning.
Salary Insight
Pay for this fellowship reaches up to $75.00 per hour. That rate sits at the high end for part-time AI training work and matches doctoral-level computer science expertise. Handshake AI reviews exact pay during project matching, since different domains and scopes can affect the final offer.
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
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- Listed in last 30 days
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- 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%
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Compensation
Up to $75/hr
Required Skills
Application Tip
In your application, name one or two CS subfields, such as machine learning systems or algorithms, and describe a concrete project or paper that proves your depth. Tie that evidence to the fellowship tasks: writing expert prompts and evaluating LLM responses. Skip broad claims like passionate about AI unless you can back them with results.
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