The Work
You will support AI training projects focused on life sciences scientific reasoning. The work involves scientific scenarios, experiments, biological data, figures, and literature evidence.
You will create or improve expert responses, review model outputs, and explain your judgments clearly. Your feedback will help improve how AI systems handle scientific questions and evidence.
- Write or improve responses to scientific questions.
- Explain scientific reasoning in clear, precise language.
- Review source materials and AI-generated outputs against project guidelines.
- Evaluate experiments, biological data, figures, and research findings.
- Give clear feedback that can improve model behavior.
- Maintain consistent quality across repeated review tasks.
What It Pays and Takes
The listing does not provide a specific compensation rate. This is a contractor role with part-time classification and an expected commitment of 20 or more hours per week.
- Pay: Compensation details are not provided in the listing.
- Time: 20 or more hours per week.
- Schedule: At least 4 hours of overlap with Pacific Standard Time.
- Location: Open worldwide.
- Language: Professional fluency in English.
- Experience level: Entry level.
- Education or research background: Ph.D., postdoctoral experience, or equivalent advanced research experience in the life sciences.
- Expertise: Strong knowledge of at least one biological discipline.
- Scientific skills: Ability to interpret experiments, data, and research findings.
- Communication: Strong scientific writing skills and close attention to precision.
Helpful Background
The project may suit experts with experience designing advanced problems, assessments, or research exercises. Experience reviewing manuscripts, evaluating AI-generated scientific responses, or working with AI and machine learning evaluation datasets is also useful.
- Experience translating complex scientific concepts into precise, self-contained questions.
- Peer-reviewed publications.
- Graduate-level teaching or mentoring experience.
- Backgrounds such as molecular biology, genetics and genomics, cell biology, biochemistry, neuroscience, microbiology, immunology, evolutionary biology, ecology, structural biology, biophysics, developmental biology, cancer biology, pharmacology, or related life sciences fields.
How It Works
Apply on OpenTrain with your resume, then complete the application on the hiring site.
About AI Training Work
OpenTrain is a platform where people find AI training projects, build profiles, and develop careers in data labeling and human feedback work. AI training uses human review, writing, and subject knowledge to help systems learn from accurate examples and produce better responses.