Life Sciences Task Designer (Animation 3D Modeling)

You will create advanced scientific reasoning tasks for AI evaluation. The work centers on biological knowledge, experimental interpretation, data analysis, and careful reasoning rather than programming or code execution.

The supplied partner title is Animation 3D Modeling, while the duties describe life sciences scientific reasoning. Review the duties and qualifications before applying.

• Design original life sciences problems based on realistic research scenarios.
• Write clear questions and rigorous reference answers with defensible scientific reasoning.
• Interpret experiments, datasets, figures, sequences, structures, and other biological evidence.
• Check biological claims, calculations, assumptions, and conclusions.
• Identify ambiguity, alternative interpretations, and questions that lack enough detail.
• Keep tasks self-contained, reproducible where relevant, and clearly documented.
• Use reviewer feedback while maintaining quality and throughput.

The role is marked entry level, but the stated qualifications call for advanced life sciences research experience. Compensation is mentioned in the role information, but no amount or payment unit is provided.

• Pay: Compensation amount and payment unit not specified.
• Schedule: At least 20 hours per week; the assignment lasts one month and specifies at least 8 hours per day and 40 hours per week, including 4 hours of overlap with Pacific Time.
• Location: Remote and open worldwide.
• Language: English.
• Engagement: Contractor and part-time.
• Education and experience: Ph.D., postdoctoral experience, or equivalent advanced research experience in the life sciences.
• Subject knowledge: Strong expertise in at least one biological discipline, such as molecular biology, genetics and genomics, cell biology, biochemistry, neuroscience, microbiology, immunology, ecology, structural biology, biophysics, developmental biology, cancer biology, or pharmacology.
• Core skills: Interpret scientific experiments, data, and research findings; write clearly and precisely; and maintain close attention to detail.
• Helpful experience: Designing graduate-level problems, assessments, or research exercises; reviewing scientific manuscripts or research; evaluating AI-generated scientific responses; or working with AI and machine learning evaluation datasets.

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 and rating model responses and evaluating scientific reasoning. People with specialist knowledge help assess whether AI outputs are accurate, well supported, and useful.