Biology AI Content Quality Specialist

YO IT Consulting; South Africa; On-site; ZAR 600,000 - 900,000; Full time

Job summary

YO IT Consulting seeks a biology PhD to critically evaluate biology-related data, prompts, or content used in AI development workflows, and to create, review, and refine scientific scenarios reflecting real-world biological problems.

You will provide expert-level insights to ensure accuracy and depth of AI training datasets, collaborate with platform teams to improve data quality and representativeness, document methodologies, and participate in iterative review cycles to advance the system’s

Qualifications

• PhD-level biology knowledge required.
• Ability to contextualize complex topics for diverse audiences.
• Strong written and verbal communication of scientific reasoning.

Responsibilities

• Critically evaluate biology-related data, prompts, or content used in AI development workflows.
• Create, review, and refine scientific scenarios reflecting real-world biological problems.
• Provide expert insights to ensure accuracy and depth of AI training datasets in biology.
• Collaborate with platform teams to clarify ambiguities and improve data quality and representativeness.
• Document methodologies and rationale to support transparency and reproducibility in project deliverables.
• Participate in iterative review cycles to enhance the AI system’s biology capabilities.
• Engage in knowledge-sharing sessions with interdisciplinary experts to enrich project outcomes.

Skills

Biology expertise

Scientific communication

Data analysis

Independent work

Interdisciplinary collaboration

Education

PhD in biology

Job description

YO IT Consulting seeks a biology PhD to critically evaluate biology-related data, prompts, or content used in AI development workflows, and to create, review, and refine scientific scenarios reflecting real-world biological problems.

You will provide expert-level insights to ensure accuracy and depth of AI training datasets, collaborate with platform teams to improve data quality and representativeness, document methodologies, and participate in iterative review cycles to advance the system’s