Engineering Mananagement Scientific Task Designer

The partner title and supplied description name different subjects. Review the duties and qualifications before applying.

You will create scientific reasoning tasks used to evaluate AI systems. The work centers on realistic research scenarios and biological evidence, not programming or code execution.

The supplied partner title names Engineering Mananagement, while the duties and qualifications describe life sciences scientific reasoning. Review the duties and qualifications carefully before applying.

• Design original, graduate-level life sciences problems grounded in realistic research contexts.
• Write clear questions and rigorous reference answers based on defensible scientific reasoning.
• Interpret experiments, datasets, figures, sequences, structures, and other biological evidence.
• Check biological claims, calculations, assumptions, and conclusions for accuracy.
• Find ambiguity, alternative interpretations, and questions that lack enough information.
• Make tasks self-contained, clearly documented, and reproducible where appropriate.
• Use reviewer feedback while maintaining quality and throughput.

The role is a remote contractor assignment lasting one month. The listing describes compensation as competitive, but provides no specific amount or payment unit.

• Pay: Competitive compensation; no specific amount or payment unit is provided.
• Commitment: At least 40 hours per week, with a minimum of eight hours per day.
• Schedule: Four hours of overlap with Pacific Time are required.
• Location: Remote and open worldwide.
• Experience level: Entry level.
• Language: Fluent English.
• Education and experience: A Ph.D., postdoctoral experience, or equivalent advanced research experience in the life sciences.
• Expertise: Strong knowledge of at least one biological discipline and the ability to interpret experiments, data, and research findings.
• Skills: Strong scientific writing, careful attention to precision, and the ability to turn complex scientific concepts into precise, self-contained questions.
• Helpful background: Graduate-level problem or assessment design, scientific manuscript review, AI-generated scientific response evaluation, AI or machine learning evaluation datasets, peer-reviewed publications, or graduate-level teaching and mentoring.

Apply on OpenTrain with your resume, then complete the application on the hiring site.

AI training is the human work behind systems that learn from examples, including writing questions and rating model responses. Scientific experts are needed to create accurate tasks and judge whether AI reasoning is supported by evidence.