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Biology AI Content Evaluator (BS Required)

Use your biology training to evaluate and improve AI-generated biological answers in a remote contractor role. Requires a BS (or higher) from a top-100 university, strong biological reasoning, and C1-level written English; competitive hourly pay ($25–$55/hr).

OpenTrain AI

Generative AI & RLHF

100% Remote Hourly · $25–$55/hr

$25–$55/hr

Compensation

Worldwide

Eligibility

Intermediate

Experience

Apr 3, 2026

Posted

Open worldwide

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About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect experts with projects that teach and refine AI systems — work that directly shapes how cutting-edge models understand and reason about the world.

Creating an OpenTrain account is free. Contributors work remotely, often on flexible schedules, and build skills and reputation across diverse AI training projects.

About AI training work

AI training (also called data labeling or human feedback work) is the human side of building modern AI: people create, review, and rate examples that models learn from. Projects span many formats — text, images, audio, and model response evaluation (RLHF).

This role focuses on evaluating AI-generated biological content: you will judge correctness, reasoning, and clarity, and provide model solutions and expert feedback to improve AI behavior.

The role

OpenTrain AI is hiring a contractor-level Biology AI Content Evaluator to review and rate text-based AI outputs for biological accuracy and reasoning. You will assess model answers, identify conceptual or methodological errors, fact-check claims, and produce high-quality biological explanations and model solutions.

Work is remote and worldwide. Projects are contract-based and vary in duration and workload; assignments involve evaluating text responses and contributing to RLHF-style rating and comparison tasks.

What you'll do

  • Evaluate AI-generated answers for accuracy, clarity, and adherence to prompts.
  • Identify errors in methodology, conceptual understanding, or biological reasoning.
  • Fact-check biological claims using public scientific and technical sources.
  • Write clear, correct model solutions and step-by-step biological explanations.
  • Rate or compare multiple AI responses for correctness and reasoning quality.
  • Provide constructive feedback to improve model outputs and labeling consistency.

Requirements

This role has firm technical requirements; candidates who do not meet them will not qualify.

  • BS degree or higher in Biology, Molecular Biology, Biochemistry, Physiology, or a closely related life-science field.
  • Degree must be from a top 100 university.
  • Strong knowledge of human biology, animal biology, molecular pathways, physiology, and disease/health fundamentals.
  • Demonstrated ability to evaluate biological reasoning and step-by-step scientific problem solving.
  • Experience with lab, experimental, or research-based reasoning in biology or related life sciences.
  • Strong fact-checking ability using public scientific and technical sources.
  • Excellent written English skills (C1 proficiency or higher) and ability to explain advanced biological concepts clearly.
  • Comfortable reviewing AI-generated answers for correctness, clarity, prompt adherence, and conceptual soundness.

Preferred experience

  • Prior experience in data labeling, RLHF, AI model evaluation, or similar AI training workflows is preferred.
  • Familiarity with evaluation/rating tasks for text generation or question-answering workflows.

Compensation, format, and next steps

Compensation is hourly in USD. Typical/target pay is $45/hr with an expected range of $25–$55/hr depending on project and experience. This is a contractor role.

Work focuses on TEXT data and label types include EVALUATION_RATING, TEXT_GENERATION, QUESTION_ANSWERING, and RLHF. Specific labeling software may vary by project.

To apply, create a free OpenTrain account, complete your profile, and submit your CV and relevant credentials. OpenTrain will present qualifying contributors with project opportunities and next-step instructions.

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