Biology Expert - Remote

YO IT Consulting; Seattle (WA); On-site; USD 110,000 - 170,000; Full time

Job summary

YO IT Consulting in Seattle seeks a highly skilled biology AI reviewer to critically evaluate biology-related data, prompts, or content used in AI development workflows. You will create, review, and refine scientific scenarios reflecting real-world biological problems and provide expert insights on AI training data accuracy.

Ideal candidates hold a PhD in biology, excel at scientific data analysis, and communicate complex ideas clearly.

Qualifications

• PhD in biology or closely related life science discipline.
• Ability to contextualize complex topics for diverse audiences.
• Exceptional written and verbal communication skills.
• Experience with scientific data analysis and critical evaluation.
• Ability to work independently and deliver high-quality outputs.
• Experience with interdisciplinary scientific or technology-focused projects (AI exposure is a plus).
• Keen attention to detail and scientific rigor.

Responsibilities

• Critically evaluate and provide detailed feedback on 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 the biological domain.
• Collaborate with platform teams to clarify ambiguities and improve data quality, coverage, and representativeness for biological subject matter.
• Document findings, methodologies, and rationale to support transparency and reproducibility in project deliverables.
• Participate in iterative review cycles and ongoing evaluation to enhance the AI system’s capabilities in biology.
• Engage in knowledge-sharing sessions with interdisciplinary experts, contributing to the enrichment of project outcomes.

Skills

Biology expertise

Scientific data analysis

Written communication

Independent work

Interdisciplinary collaboration

Education

PhD in biology

Job description

• Critically evaluate and provide detailed feedback on 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 the biological domain.
• Collaborate with platform teams to clarify ambiguities and improve data quality, coverage, and representativeness for biological subject matter.
• Document findings, methodologies, and rationale to support transparency and reproducibility in project deliverables.
• Participate in iterative review cycles and ongoing evaluation to enhance the AI system’s capabilities in biology.
• Engage in knowledge-sharing sessions with interdisciplinary experts, contributing to the enrichment of project outcomes.

Job Description

• Critically evaluate and provide detailed feedback on 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 the biological domain.
• Collaborate with platform teams to clarify ambiguities and improve data quality, coverage, and representativeness for biological subject matter.
• Document findings, methodologies, and rationale to support transparency and reproducibility in project deliverables.
• Participate in iterative review cycles and ongoing evaluation to enhance the AI system’s capabilities in biology.
• Engage in knowledge-sharing sessions with interdisciplinary experts, contributing to the enrichment of project outcomes.

Preferred Qualifications

• PhD in biology or a closely related life science discipline.
• Demonstrated expertise in core biological principles with the ability to contextualize complex topics for diverse audiences.
• Exceptional written and verbal communication skills, ensuring clear articulation of feedback and scientific reasoning.
• Experience with scientific data analysis, critical evaluation of research, and synthesis of intricate subject matter.
• Proven ability to work independently, consistently delivering high‑quality outputs within defined project frameworks.
• Prior contributions to interdisciplinary scientific or technology‑focused projects (exposure to AI is a plus but not mandatory).
• Keen attention to detail, consistency, and a passion for promoting scientific rigor and accuracy.