Handshake AI
Handshake AIVerified listing
Remote

Legal Professionals - Remote AI Research Fellowship

Up to 150/hr
Remote
Posted September 16, 2026
Part-Time
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Listing checked September 18, 2026 · pay as published by Handshake AI

Overview

Handshake AI invites legal professionals to support an AI research project. Your legal knowledge helps models read and respond to professional tasks with greater accuracy. The program runs year-round, and project openings appear based on demand. Contributors work remote and asynchronous, set their own hours, and have no minimum commitment. Assignments often involve drafting industry-specific prompts and reviewing LLM responses.

What You'll Do6

  • 1Build legal prompts that mirror tasks lawyers, paralegals, legal assistants, and judicial law clerks handle in day-to-day practice.
  • 2Assess AI model answers for legal soundness, tone, and professional context.
  • 3Mark mistakes, missing facts, or risky reasoning in generated responses.
  • 4Document feedback and scores using each project's review rubric.
  • 5Join asynchronous work with leading AI labs and follow shared project instructions.
  • 6Manage your own schedule while meeting assignment deadlines.

Requirements4

  • 1At least four years of work in a legal role such as lawyer, paralegal, legal assistant, judicial law clerk, legal secretary, or administrative assistant.
  • 2Ability to complete mostly asynchronous work with leading AI labs.
  • 3Strong grasp of legal language, professional writing, and task workflows across legal settings.
  • 4Comfort reviewing AI outputs and explaining why a response succeeds or fails.

Who Should Apply

Legal professionals with four or more years in a law office, court, or legal department fit this project well. The role suits lawyers, paralegals, legal assistants, judicial law clerks, and legal secretaries who can review AI outputs and write clear prompts. Candidates who need fixed hours, live supervision, or a steady stream of assignments may find the setup less suitable because placement depends on project availability. Applicants often score low when they list legal experience without naming the exact role or when they skip examples of asynchronous work with AI labs. A generic resume that hides your practice area also makes it hard to match you to a project.

Salary Insight

Pay reaches $150.00 per hour according to the listing. Project-based AI training work for legal domain experts varies by assignment, and this top rate sits at the higher end for review and prompt development tasks. Handshake does not post a lower bound, so treat $150.00 as a ceiling rather than a guaranteed rate.

Pay and demand for Machine Learning & AI roles

Aggregated

Typical pay

$80/hour

This role

up to $150/hr

Most Machine Learning & AI roles pay $55–$105 per hour. This role's pay sits above that range.

Based on 576 similar roles that publish pay · 94 publish only a top rate; those count at the rate they gave

Typical rangeMedian payThis role

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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Most requested skills · share of roles

  • python
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  • technical writing
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  • llm evaluation
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  • data annotation
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Figures from Machine Learning & AI roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.

Compare your resume against these roles

Location

Typeremote
LocationRemote
Eligible countriesUnited States
This is a remote position

Compensation

Up to $150/hr

Required Skills

lawyerparalegallegal assistantjudicial law clerklegal secretaryadministrative assistantprompt developmentllm evaluationai researchasynchronous workremote worklegal writing

Application Tip

Name your exact legal role and show at least four years of work, since Handshake screens for lawyers, paralegals, legal assistants, judicial law clerks, legal secretaries, and administrative assistants. Add one concrete example of asynchronous work you did with an AI lab or a remote research team, because that partnership experience separates strong fits from general applicants.

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    Your resume is scanned against this role’s requirements to check qualification fit.

  2. 2Screened before the employer sees it

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  3. 3Outcome by email

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