Biology AI Data Quality Scientist

Crossing Hurdles; Indonesia; On-site; IDR 90,000,000 - 150,000,000; Full time

Job summary

Crossing Hurdles in Indonesia seeks a biology-focused scientific reviewer to critically evaluate data, prompts, and content used in AI development workflows and provide detailed feedback.

The role involves creating, refining, and reviewing scenarios reflecting real-world biology problems, collaborating with platform teams, and documenting methodologies for transparency.

PhD in biology, exceptional communication, and independent, high-quality output within project timelines are essential.

Qualifications

• PhD in biology or related life science required.
• Excellent ability to explain complex biology concepts clearly.
• Proven experience evaluating scientific data and literature.
• Ability to work independently and deliver high-quality outputs on schedule.

Responsibilities

• Critically evaluate and provide detailed feedback on biology 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 biology.
• Collaborate with platform teams to clarify ambiguities and improve data quality and representativeness for biology content.
• Document findings, methodologies, and rationale to support transparency and reproducibility in project deliverables.
• Participate in iterative review cycles to enhance the AI system's biology capabilities.

Skills

Expertise in biology

Strong written and verbal comms

Data analysis experience

Independent work ethic

Education

PhD in biology or related life science

Job description

Crossing Hurdles in Indonesia seeks a biology-focused scientific reviewer to critically evaluate data, prompts, and content used in AI development workflows and provide detailed feedback.

The role involves creating, refining, and reviewing scenarios reflecting real-world biology problems, collaborating with platform teams, and documenting methodologies for transparency.

PhD in biology, exceptional communication, and independent, high-quality output within project timelines are essential.