Biochemistry AI Training Expert — Remote, Part-Time

About OpenTrain

OpenTrain is the #1 platform for building careers in AI training and data labeling. We connect domain experts with projects that teach AI systems how to read, reason, and act — and we help freelancers build a consolidated, portable portfolio of annotation work.

For this role you will be contracted by OpenTrain AI to contribute specialist biochemistry knowledge to model training workflows, review cycles, and dataset development.

Why AI Training in Biochemistry Matters

AI systems learn from examples prepared and reviewed by people. In the life sciences, accurate annotations and expert feedback are critical: they help models understand experimental methods, biochemical mechanisms, literature claims, and safety-sensitive detail.

Contributors to AI training get flexible, remote work and play a direct role in shaping how scientific models reason and communicate.

• Work remotely and flexibly — suitable for part-time or portfolio careers.
• Apply domain expertise where it has immediate impact on model quality and safety.

The Role

As a Biochemistry AI Training Expert you will review biochemical datasets, research findings, and experimental protocols, providing expert annotation, validation, and actionable feedback that improves model reasoning and outputs.

This role includes content development (use cases, prompts, and scenarios), evaluation of model-generated scientific text for validity and clarity, and iterative review to close knowledge gaps and address edge cases.

• Data type: Documents (biochemical literature, protocols, lab reports).
• Labeling tasks: Evaluation/rating and data collection style review.
• Employment: Contractor, part-time; worldwide remote contributors accepted.

What You'll Do

• Review biochemical datasets, research findings, and protocols for expert annotation and validation.
• Develop and refine biochemistry-based content, use cases, and scenarios for AI model training.
• Assess scientific validity and clarity of prompts and model-generated outputs.
• Translate domain-specific insights into actionable feedback for model improvement.
• Identify knowledge gaps, ambiguities, and edge cases in biochemical content.
• Participate in iterative review cycles to maintain accuracy and relevance of training inputs.

Requirements

We need contributors who combine deep biochemical knowledge with clear scientific communication. Please review the required items below carefully.

• Education/experience: Advanced degree or equivalent experience in Biochemistry, Molecular Biology, or a related field.
• Domain knowledge: Deep understanding of biochemical mechanisms, laboratory methods, and current literature.
• Skills: Strong analytical and critical thinking for data interpretation, plus excellent written and verbal communication.
• Preferred: Experience with scientific publications, peer review, or creating educational/scientific content.
• Additional: Comfort explaining complex concepts clearly and giving actionable feedback to improve AI systems.
• Languages: English required.
• Experience level: Entry level (projects may be suitable for contributors starting in AI training).
• Time: 20+ hours/week commitment.
• Pay: Hourly contract, USD $60–$80/hr (pay-per-hour).

How It Works

This is a contracting role with OpenTrain AI. Work is remote and asynchronous; many contributors set schedules that fit their lives while meeting project deadlines.

Expect iterative assignments and review cycles: tasks include rating outputs, annotating documents, drafting scenarios, and returning structured feedback. You will be evaluated on accuracy, clarity, and consistency.

To apply, create an OpenTrain account (free), complete your profile with relevant biochemistry experience, and submit an application for this role. Qualified applicants may be asked to complete a short assessment or sample review.

• Contract type: Part-time contractor; worldwide applicants welcome.
• Payment model: Paid per hour within the stated USD range; exact rate set during contracting.
• Tools: Labeling platform and task instructions will be provided; no specific software required in advance.