Biology AI Content & Quality Reviewer

YO IT Consulting; Riyadh; On-site; SAR 220,000 - 420,000; Full time

Job summary

YO IT Consulting in Riyadh is seeking a biology-focused AI reviewer to critically evaluate biology-related data and prompts used in AI development workflows. You will provide expert feedback to ensure accuracy and depth in training datasets for real-world biological problems.

Collaborating with platform teams, you will clarify ambiguities, improve data quality, and document methodologies to support transparency and reproducibility in project deliverables. A PhD in biology is preferred.

Qualifications

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

Responsibilities

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

Skills

Critical thinking

Scientific writing

Data analysis

Communication

Independent work

Interdisciplinary collaboration

Education

PhD in biology

Job description

YO IT Consulting in Riyadh is seeking a biology-focused AI reviewer to critically evaluate biology-related data and prompts used in AI development workflows. You will provide expert feedback to ensure accuracy and depth in training datasets for real-world biological problems.

Collaborating with platform teams, you will clarify ambiguities, improve data quality, and document methodologies to support transparency and reproducibility in project deliverables. A PhD in biology is preferred.