The work
You will support AI training by applying real research knowledge to life sciences evaluation. You will create scientific questions, review AI responses, and explain whether proposed methods and conclusions are sound.
The work uses structured problems, model responses, scoring rubrics, and reference answers. Prior AI training experience is not required.
- Design challenging life sciences problems with clear, verifiable solutions.
- Review AI-generated answers for scientific accuracy, rigor, and depth of reasoning.
- Find subtle scientific errors and write clear explanations of your reasoning.
- Create rubrics and reference answers based on primary literature and established research methods.
- Assess proposed experiments, computational analysis pipelines, and scientific interpretations.
- Maintain quality through consistent review and feedback.
What it pays and takes
This is a remote contractor opportunity with part-time work. Schedules and project timing are arranged according to project needs.
- Pay: $45 to $90 per hour.
- Work arrangement: Remote contractor role with part-time opportunities.
- Location: Open to candidates in the United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, France, the United Kingdom, Ghana, Greece, Indonesia, India, Italy, Jordan, Japan, Kenya, Kyrgyzstan, Kuwait, Kazakhstan, Lebanon, Sri Lanka, Morocco, Mexico, Malaysia, Nigeria, the Netherlands, Oman, Peru, the Philippines, Pakistan, Palestine, Portugal, Qatar, Saudi Arabia, Singapore, Thailand, Tunisia, Taiwan, the United States, Uzbekistan, Vietnam, and South Africa.
- Education: Completed PhD in biology, molecular biology, genetics, genomics, biochemistry, bioinformatics, computational biology, immunology, neuroscience, microbiology, or a closely related life sciences field.
- Research experience: Hands-on work in an academic, institutional, or industry laboratory.
- Language: Professional written and spoken English at C1 level or higher.
- Preferred experience: Wet-lab work such as PCR, cell culture, sequencing library preparation, Western blotting, protein purification, LC-MS sample preparation, or CRISPR workflows.
- Also valued: Postdoctoral or equivalent advanced research experience and peer-reviewed publications.
How it works
You apply here in about two minutes and finish on the hiring platform. The next step is a short AI interview (technical roles include a coding challenge). Passing it is how you qualify for paid tasks, so take it soon after you are invited.
The hiring platform's application for this job asks for your resume, your LinkedIn profile, your phone number, your location and answers to 4 screening questions.
About AI training work
AI training is the human work behind systems that answer questions and solve problems. Subject experts create examples, review model responses, and give clear feedback so AI systems can produce more accurate and useful results.