Mercor
MercorVerified listing

Biology Expert - Remote Life Sciences (Part-Time)

70–105/hr
Remote
part-time
Posted September 15, 2026
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Listing checked September 16, 2026 · pay as published by Mercor

Key details

Pay
$70–105/hr
Location
Remote
Job type
part-time
Posted
September 15, 2026

Overview

Mercor keeps a standing pool of biologists who help AI research teams judge work that requires real lab experience. When a project opens, you may write original research problems from your own area, complete with the system, data, controls, and a reference answer. You also grade model-written experimental designs and interpretations, checking whether statistics fit the design and whether conclusions follow from the figures. Another task involves spotting textbook answers that fail at the bench because of organism limits, assay sensitivity, or what reagents can show. Rates for past projects ranged from $70 to $105 an hour.

What You'll Do8

  • Turn a research question from your own biology work into a graded problem, including system, data, controls, and reference answer.
  • Review model-generated experimental plans and ask whether proposed controls rule out alternative explanations.
  • Check that statistical tests match the design and that interpretations stay within what the data supports.
  • Mark conclusions that do not follow from the figure or from the assay's limits.
  • Identify answers that sound correct in a textbook but would not hold at the bench due to organism, reagent, or assay constraints.
  • Explain your reasoning in clear written form so project teams can use your notes as a rubric.
  • Flag instructions that are unclear or missing details instead of guessing.
  • Match your review to project-specific client requirements when invited to a listed project.

Requirements9

  • Graduate degree in biology or another life science.
  • Hands-on research experience where you designed and ran experiments yourself.
  • Recent enough lab work to explain the decisions you made.
  • Ability to write clear explanations of scientific reasoning.
  • Comfort with ambiguous tasks and incomplete instructions.
  • Willingness to ask for clarification when a brief is vague.
  • Strong grasp of experimental controls and statistical fit.
  • Familiarity with assay limitations and reagent capabilities.
  • Capacity to evaluate model outputs against real bench constraints.

Who Should Apply

Biologists who have run their own experiments and can defend each choice in a study design will fit this pool well. The role suits someone with a graduate degree in biology or a related life science and recent bench or field research experience, especially if writing clear explanations comes naturally. Candidates who only read about experiments or who have not touched a protocol in years often score lower, because the work depends on current judgment. A common rejection reason is treating model answers as correct just because they sound textbook-perfect, without checking controls, statistics, or assay limits. Another low-fit pattern is leaving unclear instructions unflagged instead of asking questions.

Salary Insight

Past projects paid $70 to $105 an hour, with the final rate set by each project's scope and depth. That band matches advanced biology expertise and the kind of experimental design review that AI teams cannot generate on their own. No rate is attached to the standing pool itself; pay appears when a specific project invites you.

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

$70–105/hr

Taken from the listing itself.

Typical pay · estimated

$68/hour

Median of 1,191 similar roles that publish pay · 300 publish only a top rate; those count at the rate they gave

Most AI Training roles pay $38–$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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Required skills

BiologyLife SciencesExperimental DesignResearch MethodologyScientific WritingStatistical AnalysisData InterpretationAssay DesignExperimental ControlsModel EvaluationAI EvaluationPeer ReviewLaboratory ResearchMolecular BiologyCell BiologyGeneticsBiochemistryMicrobiology

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