Biology PhD AI Training Expert — Remote, 20+ Hrs/Week

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. The platform helps specialists discover projects, consolidate opportunities, and build a unified portfolio so you can grow a durable freelance career teaching AI.

We connect domain experts with real AI training work: if you bring scientific expertise, OpenTrain helps you apply that knowledge directly to datasets and model development while managing assignments and payment.

Why AI training work matters

AI systems learn from examples prepared and reviewed by people. Biology experts shape how models understand and respond to biological questions by evaluating content, creating realistic scenarios, and improving dataset accuracy.

This kind of work is typically 100% remote and highly flexible, making it a strong fit for people who want part-time, impactful roles that use scientific training without prior AI experience.

The role — Biology AI Training Expert

OpenTrain is recruiting a Biology Expert to support AI training tasks that require real-world life-science expertise. This is a remote, contractor, part-time role requiring 20+ hours per week.

Compensation is paid hourly at $80–$90 USD per hour. The role is worldwide (English required) and is focused on text-based tasks including evaluation and generation of scientific content used for model training.

• Employment type: Contractor, Part-time
• Hours: 20+ hours/week (remote, worldwide)
• Pay: $80–$90 USD per hour
• Work language: English
• Data type: Text — label types include evaluation/rating and text generation

What you'll do

You will apply your biology expertise to improve training data and model outputs. Work is conducted within defined project frameworks and requires careful documentation and collaboration with platform teams.

• Evaluate biology-related data, prompts, and model outputs used in AI development.
• Create, review, and refine scientific scenarios, questions, and explanations for real-world biological problems.
• Provide expert feedback to improve accuracy, relevance, and depth in AI training datasets and outputs.
• Collaborate with platform teams to resolve ambiguous queries and improve data quality or coverage.
• Document findings, methodologies, and rationales to support transparency and reproducibility.
• Participate in iterative review cycles and knowledge-sharing with other domain experts.

Requirements

All requirements below are mandatory for this role. The project calls for a high level of scientific rigor and independent work.

This position does not require prior AI experience — we need domain expertise and strong scientific communication.

• PhD in biology or a closely related life science discipline (required).
• Strong written and verbal communication for clear scientific reasoning.
• Experience with scientific data analysis, critical evaluation, and synthesis of complex subject matter.
• Ability to work independently and manage deliverables within defined project frameworks.
• Strong attention to detail, consistency, and scientific accuracy.

Who should apply

This role is aimed at PhD-level life scientists who want to apply their domain knowledge to AI training. If you enjoy explaining complex concepts clearly, reviewing scientific content critically, and improving the factual quality of model outputs, this is a good fit.

No prior AI or machine-learning experience is required — bring your biology expertise, and the project teams will work with you on the annotation frameworks.

How to apply

To apply, create an OpenTrain account and submit your profile and CV. Provide details about your PhD, research background, and relevant scientific experience.

If your qualifications match the project, the hiring team at OpenTrain will contact you with next steps and onboarding information.