Mercor
MercorVerified listing

Physical Sciences & Engineering Professional

84/hr
Remote
hourly
4 openings
Posted October 31, 2026
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Listing checked October 31, 2026 · pay as published by Mercor

Key details

Pay
$84/hr
Location
Remote
Job type
hourly
Openings
4
Posted
October 31, 2026

Overview

Mercor needs practicing scientists and engineers to stress-test AI assistants on work that mirrors their own day job. You draft a short request the way a real user would, then stay in the conversation across several turns, correcting the model and answering its questions as it works. At the end you score both the interaction and the deliverable against the standard your field expects. Expect roughly 10 hours a week on a flexible remote schedule, with work split between writing prompts, LLM evaluation, and short written feedback.

What You'll Do7

  • Draft brief, realistic task requests in your discipline, worded the way an actual practitioner would type them
  • Guide the AI assistant through multi-turn work by clarifying scope, supplying missing context, and flagging mistakes
  • Challenge answers that drift from accepted practice in chemistry, physics, or engineering
  • Score the final deliverable and the conversation itself using the rubric the project provides
  • Write concise notes on what the assistant handled well and where it failed
  • Keep your scenarios grounded in genuine professional work rather than textbook puzzles
  • Log around 10 hours of evaluation work each week on a schedule you set

Requirements7

  • A degree in a physical science or engineering discipline
  • 3 or more years of professional experience in that field
  • Working background as a chemist, physicist, or a civil, mechanical, electrical, or chemical engineer
  • Some hands-on use of AI assistants in your own work
  • Clear, precise English writing for the feedback notes and scores
  • Ability to judge technical output against real industry standards
  • Access to the assistant from your country of residence

Who Should Apply

Practicing chemists, physicists, and engineers with at least three years on the job who already use AI tools and can spot when a model gets the technical details wrong. If you can write a realistic work request and explain your scoring in plain English, this fits.

Salary Insight

$84 per hour is well above typical freelance rates for AI evaluation and data annotation work, which usually land in the low double digits to low thirties. The premium reflects the degree plus 3 years of professional experience the project requires.

Application tip

Name your exact discipline and years of experience in the first line of your profile, then describe one real task from your job that you could turn into an evaluation scenario. Mentioning which AI assistants you use and how often strengthens the match.

Pay and demand for Sales Engineering & Solutions Consulting roles

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

Aggregated

This role · as published

$84/hr

Taken from the listing itself.

Typical pay · estimated

$70/hour

Median of 1,212 similar roles that publish pay · 303 publish only a top rate; those count at the rate they gave

Most Sales Engineering & Solutions Consulting roles pay $44–$95 per hour. This role's pay falls inside that range.

Typical rangeMedian payThis role

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

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Hiring most right now: micro1 (415) · SME Careers (254) · Mercor (208)

Most requested skills · share of roles

  • ai evaluation
    12%
  • llm evaluation
    11%
  • ai training
    11%
  • data annotation
    9%

Figures from Sales Engineering & Solutions Consulting roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.

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Required skills

LLM EvaluationAI EvaluationPrompt WritingChemistryPhysicsMechanical EngineeringElectrical EngineeringChemical EngineeringCivil EngineeringTechnical WritingQuality RatingData Annotation

How applying works

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  2. 2. Finish on the employer’s site

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  3. 3. Wait for a response

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

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