Biology AI Data Quality Architect

YO IT Consulting; Mexico; On-site; PHP 5,528,255 - 9,213,759; Full time

Job summary

YO IT Consulting is seeking a senior biology data specialist to critically evaluate biology-related data, prompts, and content used in AI development workflows. You will create and refine scientific scenarios reflecting real-world biological problems and provide expert insights to ensure accuracy and depth of AI training datasets and outputs.

You will collaborate with platform teams, clarify ambiguities, and document methodologies to support transparency and reproducibility in project

Qualifications

• PhD in biology or closely related field.
• Ability to contextualize complex topics for diverse audiences.
• Strong written and verbal communication skills.

Responsibilities

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

Skills

Biology expertise

Data analysis

Scientific writing

Communication

Independent work

Education

PhD in biology

Job description

YO IT Consulting is seeking a senior biology data specialist to critically evaluate biology-related data, prompts, and content used in AI development workflows. You will create and refine scientific scenarios reflecting real-world biological problems and provide expert insights to ensure accuracy and depth of AI training datasets and outputs.

You will collaborate with platform teams, clarify ambiguities, and document methodologies to support transparency and reproducibility in project