You will design advanced scientific reasoning tasks based on realistic life sciences research scenarios. Your work will help evaluate whether AI systems can interpret biological evidence and reach well-supported conclusions.
You will write clear questions and reference answers, check scientific claims and calculations, and improve tasks based on reviewer feedback. Tasks should be self-contained, well documented, and reproducible when applicable.
- Create novel problems grounded in experiments, datasets, figures, sequences, structures, and literature-style evidence.
- Explain the reasoning behind reference answers with clear scientific support.
- Check biological claims, calculations, assumptions, and conclusions.
- Identify ambiguity, alternative interpretations, and questions that lack enough information.
- Maintain quality and throughput while incorporating reviewer feedback.
What It Pays And Takes
The role is a remote contractor assignment lasting one month. It requires strong life sciences knowledge, scientific writing, careful analysis, and professional fluency in English.
- Compensation amount and payment unit are not provided.
- Schedule: 20 or more hours per week.
- Location: Remote and open worldwide.
- Language: Professional fluency in English.
- Level: Entry level.
- Bring strong expertise in at least one biological discipline and the ability to interpret experiments, data, and research findings.
- Relevant fields include molecular biology, genetics and genomics, cell biology, biochemistry, neuroscience, microbiology, immunology, ecology, structural biology, biophysics, developmental biology, cancer biology, and pharmacology.
- Helpful experience includes creating graduate-level problems or assessments, reviewing scientific manuscripts, evaluating AI-generated scientific answers, or working with AI and machine learning evaluation datasets.
How It Works
Apply on OpenTrain with your resume and then complete the application on the hiring site.
About AI Training Work
AI training is the human work behind systems that learn from examples, including writing and rating model responses and checking whether answers are accurate. OpenTrain helps people find these projects, build a profile, and apply to work that matches their skills.