Computational Biology AI Evaluation Expert

About OpenTrain and AI training work

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect expert contributors with specialized AI training projects and help people build a durable freelance career teaching AI systems how to behave.

AI training (data labeling, annotation, and human-feedback work) is the human side of building modern AI. Contributors provide the expert judgments and examples that state-of-the-art models learn from — a fast-growing, flexible way to work remotely and shape AI behavior in real scientific domains.

• Remote, flexible work that fits alongside research, consulting, or other jobs.
• Opportunities range from entry-level annotation to expert evaluation and RLHF for domain-sensitive models.
• Contributors directly influence model accuracy and safety in real scientific workflows.

The role

OpenTrain AI is hiring a Computational Biology AI Evaluation Expert to review, annotate, and benchmark AI outputs in real-world computational biology scenarios. You will judge scientific accuracy, relevance, and usefulness of model responses, review biological pipelines, and produce clear, actionable feedback to improve model behavior.

• Evaluate AI-generated answers in genomics, transcriptomics, structural biology, and systems biology.
• Produce concise written assessments that can be consumed by technical and non-technical stakeholders.

What you'll do

• Rate and annotate AI-generated responses for scientific accuracy, relevance, and usefulness in computational biology contexts.
• Benchmark model outputs against expected analyses, workflows, or experimental interpretations.
• Review biological workflows and pipelines to identify strengths, weaknesses, and opportunities for model improvement.
• Document findings with clear rationale, examples, and actionable recommendations.
• Communicate complex scientific concepts clearly in written form and when asked, verbally.

Requirements

• PhD in Biology, Bioinformatics, or a closely related field, or equivalent industry or research experience.
• Hands-on experience with data-driven biological research and computational analysis (genomics, transcriptomics, structural or systems biology).
• Demonstrated scientific reasoning, analytical thinking, and ability to evaluate biological results for correctness.
• Experience with Python, R, Bash, or related scientific scripting tools.
• Clear written and verbal communication skills for both technical and non-technical audiences.
• Ability to evaluate AI-generated scientific outputs for accuracy and relevance and to document judgments clearly.

Helpful background (nice to have)

• Familiarity with NGS pipelines and tools such as BWA, GATK, STAR, Salmon.
• Experience with single-cell analysis tools such as Seurat or Scanpy.
• Hands-on knowledge of structural biology tools (AlphaFold, PyMOL) or CRISPR workflows.
• Published research or open-source contributions in computational biology or bioinformatics.
• Prior exposure to evaluating AI/ML or LLM outputs in biological contexts is a plus.

Compensation, schedule, and logistics

This is a part-time contractor role requiring 20+ hours per week. Work remotely from anywhere; candidates must be comfortable working in English.

Pay: $40–$60 USD per hour (pay varies by experience and scope). Employment: Contractor, part-time. Data type: text — tasks include evaluation ratings and RLHF-style judgments.

• Labeling types: EVALUATION_RATING and RLHF.
• Worldwide applicants accepted; English required.
• Work primarily involves reviewing and annotating text outputs and documenting evaluations.

How it works and how to apply

Create a free OpenTrain account, build a profile that highlights your computational biology research and scripting experience, and submit your application for this role. OpenTrain is the hiring and contracting organization for this project and will manage onboarding, assignments, and payments.

Applications that include examples of relevant research, tool experience, or prior evaluation work will help your candidacy stand out. Selected contributors may be asked to complete brief qualification tasks to demonstrate judgment and communication.

• Set up an OpenTrain profile, list your PhD or equivalent experience, and describe relevant pipelines and tools.
• Apply through your OpenTrain account and follow any qualification steps provided after application.