Biology AI Data Evaluator — Remote

YO AI Labs; Boston (MA); Remote; USD 60,000 - 90,000; Full time

Job summary

YO AI Labs is seeking a Biology Expert for a remote contract role to critically evaluate biology data, prompts, and content used in AI development workflows, and to create, review, and refine scientific scenarios reflecting real-world biology.

The ideal candidate has a PhD in biology or related life sciences, superb written and verbal communication, and strong experience in scientific data analysis and critical evaluation of research.

Qualifications

• PhD in biology or a closely related life science discipline.
• Ability to contextualize complex topics for diverse audiences.
• Excellent written and verbal communication skills.
• Experience with scientific data analysis and critical evaluation of research.

Responsibilities

• Critically evaluate and provide detailed feedback on biology data for AI workflows.
• Create, review and refine scientific scenarios and explanations for complex real-world biology.
• Offer expert insights to ensure accuracy and depth of AI training datasets in biology.
• Collaborate with platform teams to improve data quality and representativeness of biology content.
• Document findings and rationale to support transparency and reproducibility.
• Participate in iterative review cycles to enhance AI system capabilities in biology.
• Share knowledge in sessions with interdisciplinary experts to enrich project outcomes.

Skills

Written and verbal communication

Critical evaluation

Scientific data analysis

Independent work

Education

PhD in biology or closely related life science

Job description

YO AI Labs is seeking a Biology Expert for a remote contract role to critically evaluate biology data, prompts, and content used in AI development workflows, and to create, review, and refine scientific scenarios reflecting real-world biology.

The ideal candidate has a PhD in biology or related life sciences, superb written and verbal communication, and strong experience in scientific data analysis and critical evaluation of research.