Biology AI Content Quality Lead

YO IT Consulting; Finland (MN); On-site; USD 90,000 - 150,000; Full time

Job summary

YO IT Consulting is seeking a biology-focused reviewer to critically evaluate AI-related biology data, prompts, and content. You will create and refine scientific scenarios and explanations reflecting real-world biology problems, providing expert insights to ensure accuracy in AI training datasets and outputs.

You will collaborate with platform teams to clarify ambiguities, document methodologies, and contribute to transparency and reproducibility across project deliverables, while engaging in

Qualifications

• PhD in biology or closely related life science.
• Ability to contextualize complex topics for diverse audiences.
• Exceptional written and verbal communication skills.
• Experience with scientific data analysis and evaluation of research.
• Proven ability to work independently within project constraints.
• Exposure to AI is a plus but not mandatory.

Responsibilities

• Critically evaluate biology-related data, prompts, or content used in AI development workflows.
• Create, review, and refine scientific scenarios and explanations reflecting real-world biology problems.
• Offer expert insights to ensure accuracy and relevance of AI training datasets and outputs.
• 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 to enhance AI system capabilities in biology.
• Engage in knowledge-sharing sessions with interdisciplinary experts to enrich project outcomes.

Skills

Biology knowledge

Scientific data analysis

Critical evaluation

Communication skills

Independent work

Education

PhD in biology

Job description

YO IT Consulting is seeking a biology-focused reviewer to critically evaluate AI-related biology data, prompts, and content. You will create and refine scientific scenarios and explanations reflecting real-world biology problems, providing expert insights to ensure accuracy in AI training datasets and outputs.

You will collaborate with platform teams to clarify ambiguities, document methodologies, and contribute to transparency and reproducibility across project deliverables, while engaging in