Biology AI Data Quality Specialist — Remote

YO AI Labs; Seattle (WA); Remote; USD 90,000 - 130,000; Full time

Job summary

YO AI Labs is seeking a Biology Expert contractor to critically evaluate biology-related data, prompts, and content used in AI development workflows. You will create, review, and refine scientific scenarios and explanations reflecting real-world biological challenges.

You will provide expert insights to ensure accuracy and depth of AI training datasets, collaborating with platform teams and documenting methodologies for transparency and reproducibility across projects.

Qualifications

• PhD in biology or closely related life science.
• Demonstrated ability to contextualize complex topics for diverse audiences.
• Exceptional written and verbal communication skills.
• Experience with scientific data analysis and critical evaluation of research.
• Proven ability to work independently and deliver high-quality outputs.

Responsibilities

• Critically evaluate biology-related data, prompts, or content used in AI development workflows.
• Create, review, and refine scientific scenarios, questions, or explanations reflecting complex, real-world biological problems.
• Offer expert-level insights to ensure accuracy, relevance, and depth of AI training datasets and system outputs in biology.
• Collaborate with platform teams to clarify ambiguities and improve data quality and coverage.
• Document findings, methodologies, and rationale to support transparency and reproducibility.
• Participate in iterative review cycles and ongoing evaluation to enhance AI system capabilities in biology.
• Engage in knowledge-sharing sessions with interdisciplinary experts to enrich project outcomes.

Skills

Biology expertise

Data analysis

Scientific writing

Education

PhD in Biology

Tools

R

Python

Job description

YO AI Labs is seeking a Biology Expert contractor to critically evaluate biology-related data, prompts, and content used in AI development workflows. You will create, review, and refine scientific scenarios and explanations reflecting real-world biological challenges.

You will provide expert insights to ensure accuracy and depth of AI training datasets, collaborating with platform teams and documenting methodologies for transparency and reproducibility across projects.