Biology AI Content & Data Quality Specialist

YO IT Consulting; Argentina; Presencial; ARS 89.781.382 - 134.672.073; Jornada completa

Descripción de la vacante

YO IT Consulting is seeking a PhD-level biology expert 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 in AI training datasets and outputs.

You will collaborate with platform teams to improve data quality, coverage, and representativeness, document methodologies, and participate in iterative reviews to enhance

Formación

• PhD or higher in biology or related field.
• Strong ability to explain complex biological topics to diverse audiences.
• Experience in evaluating scientific data and AI-related prompts.

Responsabilidades

• 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.
• Collaborate with platform teams to improve data quality and representativeness.
• Document methodologies and rationale to support transparency and reproducibility.
• Participate in iterative reviews to enhance the AI system’s biology capabilities.
• Engage in knowledge-sharing with interdisciplinary experts to enrich project outcomes.

Conocimientos

Biology expertise

Scientific communication

Data analysis

Independent work

Interdisciplinary collaboration

Educación

PhD in biology or life sciences

Descripción del empleo

YO IT Consulting is seeking a PhD-level biology expert 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 in AI training datasets and outputs.

You will collaborate with platform teams to improve data quality, coverage, and representativeness, document methodologies, and participate in iterative reviews to enhance