Braintrust
BraintrustVerified listing

Senior Science & Clinical Experts - AI Benchmarking

1,350 fixed
Remote · United States; Canada; Argentina +22 more
contract
100 openings
Posted November 10, 2026
Not sure you qualify? Match your resume

Listing checked November 10, 2026 · pay as published by Braintrust

Key details

Pay
$1,350 fixed
Location
Remote · United States; Canada; Argentina +22 moreArgentina, Australia, Austria, Belgium, Canada +20 more
Job type
contract
Openings
100
Posted
November 10, 2026

Overview

Outlier seeks scientists and clinicians to test how AI systems handle scientific and clinical work. You will shape Linux terminal benchmark tasks around evidence review, data analysis, or a scientific workflow from your own field. The job centers on defining what counts as a sound, reproducible result and then judging model answers for scientific accuracy and clinical reasoning. The contract runs remotely and pays per task, with an expected 20 hours per week for one to six months.

What You'll Do5

  • Build Linux terminal tasks that ask an AI system to interpret evidence, analyze data, or run a scientific workflow from your specialty.
  • Set the criteria that decide whether an answer is scientifically valid and can be reproduced.
  • Assess model solutions for factual accuracy, quality of reasoning, and fit with accepted practice in your field.
  • Document mistakes, uncertain points, and the evidence that supports each judgment.
  • Write task prompts and scoring notes that another expert can review and apply.

Requirements7

  • You hold a completed PhD in a relevant scientific field or an MD with a clinical specialization.
  • You have finished your degree program and are not enrolled in one now.
  • You bring at least seven years of relevant experience, including PhD and postdoctoral work.
  • Another route qualifies: at least three relevant years plus three peer-reviewed papers as first author or coauthor.
  • Clinical candidates need PGY-4 status or later, or an equivalent training stage. Senior residents, fellows, and attendings qualify.
  • You use a Linux terminal in practical work.
  • You have at least one academic or professional publication as author or coauthor.

Who Should Apply

A PhD scientist or clinical specialist who has completed training and wants to judge AI output in their own field fits this work. You need at least seven years of relevant experience or the publication-heavy alternative, plus comfort with a Linux terminal.

Salary Insight

The project pays $1,350 per task. Plan for about 20 hours of work each week over one to six months, so your total depends on how many tasks you complete.

Pay and demand for AI Training roles

Market estimates from live NearSkill listings — separate from this job's published terms.

Aggregated

This role · as published

$1,350 fixed

Taken from the listing itself.

Typical pay · estimated

$70/hour

Median of 1,325 similar roles that publish pay · 304 publish only a top rate; those count at the rate they gave

Most AI Training roles pay $40–$100 per hour.

Typical rangeMedian pay

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

Live similar roles
1,518
Listed in last 30 days
782
Remote
98%

Hiring most right now: micro1 (442) · SME Careers (256) · Mercor (212)

Most requested skills · share of roles

  • ai evaluation
    14%
  • llm evaluation
    12%
  • data annotation
    12%
  • python
    11%

Figures from AI Training 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

Required skills

LinuxAI EvaluationBenchmark DesignScientific WritingClinical ResearchData AnalysisPeer ReviewReproducibilityEvidence AnalysisTechnical WritingResearchProblem Solving

How applying works

  1. 1. Pre-screen on NearSkill

    A quick application on NearSkill checks your fit against this role.

  2. 2. Finish on the employer’s site

    We hand you to Braintrust’s official application page to complete the form.

  3. 3. Wait for a response

    The employer’s hiring team reviews applications and gets back to you.

Share:

Similar jobs

Open roles that match this listing's skills and level.

View all AI Training jobs