Biology AI Data Quality Specialist

Crossing Hurdles; United States; Remote; CAD 90,000 - 120,000; Full time

Job summary

Crossing Hurdles in Canada is seeking a PhD-level biology professional to critically evaluate biology-related data and prompts used in AI development. You will create and refine scientific scenarios reflecting real-world biology problems and collaborate with platform teams to ensure data quality and coverage.

You will provide expert insights to improve AI training datasets, document methodologies, and participate in iterative reviews to advance the biology-focused capabilities of our AI systems.

Qualifications

• PhD in biology or 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.
• Experience with scientific data analysis, critical evaluation of research, and synthesis of intricate subject matter.

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.

Skills

Biology expertise

Communication skills

Data analysis

Critical evaluation

Independent working

Education

PhD in biology or related life science

Job description

Crossing Hurdles in Canada is seeking a PhD-level biology professional to critically evaluate biology-related data and prompts used in AI development. You will create and refine scientific scenarios reflecting real-world biology problems and collaborate with platform teams to ensure data quality and coverage.

You will provide expert insights to improve AI training datasets, document methodologies, and participate in iterative reviews to advance the biology-focused capabilities of our AI systems.