Biology Expert for AI Training - Remote & Flexible Pay

Prolific Academic Ltd; United States; Remote; USD 68,000 - 97,000; Full time

Job summary

Prolific is seeking Biology Experts and Life Science Professionals to join our Expert Network and help train AI models using real scientific expertise. After a quick test, you may join as a participant and earn to be paid for AI tasks, with flexible hours and the option to work from home.

We offer opportunities to review AI-generated science, fact-check technical claims, assess experimental logic, annotate data, and ensure ethical alignment with contemporary standards.

Qualifications

• BS, MS, or PhD in Biology or related Life Sciences field is required.
• Experience in laboratory research, clinical trials, biotech, or academic instruction is preferred.
• Ability to interpret complex biological data and research literature with precision.
• Ability to identify flaws in experimental designs and data interpretation.

Responsibilities

• Evaluate AI-generated science for factual accuracy and alignment with current scientific consensus.
• Fact-check technical claims and validate citations from public databases like PubMed/NCBI.
• Assess AI-proposed experimental logic, controls, variables and troubleshooting steps.
• Annotate scientific data and correct errors in sequences, structures, or taxonomy.
• Ensure ethical alignment and compliance with bioethics and safety standards.

Skills

Scientific literacy

Critical thinking

Methodological knowledge

Communication

Education

BS, MS, or PhD in Biology, Molecular Biology, Genetics, Bioinformatics, Pharmacology, or a related Life Sciences field

Job description

Prolific is seeking Biology Experts and Life Science Professionals to join our Expert Network and help train AI models using real scientific expertise. After a quick test, you may join as a participant and earn to be paid for AI tasks, with flexible hours and the option to work from home.

We offer opportunities to review AI-generated science, fact-check technical claims, assess experimental logic, annotate data, and ensure ethical alignment with contemporary standards.