Chemistry, Structural Biology & Drug Discovery Scientist PhD

You will help train AI systems by creating difficult scientific problems and reviewing model answers. Your work will focus on computational chemistry, structural biology, and drug discovery, with an emphasis on accurate reasoning, strong reference answers, and explanations that other experts can assess.

• Create expert-level problems with clear, verifiable solutions.
• Review AI-generated answers for scientific accuracy, rigor, and depth of reasoning.
• Find subtle scientific errors that require specialist knowledge.
• Write detailed rubrics and reference answers based on scientific literature.
• Explain evaluation decisions clearly in writing.
• Take part in feedback and peer review cycles.
• Apply research knowledge in molecular modeling, structure prediction, virtual screening, docking, QSAR, ADMET modeling, proteomics, and metabolomics analysis.

This is a part-time contractor role for a scientist with advanced research training and strong written communication skills.

• Pay: $45 to $90 per hour.
• Open to candidates in the United Arab Emirates, Argentina, Austria, Bangladesh, Belgium, Bahrain, Brazil, Canada, Switzerland, Chile, Colombia, Germany, Denmark, Algeria, Egypt, Spain, France, 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.
• Required: a PhD in computational chemistry, structural biology, biophysics, bioinformatics, medicinal chemistry, biochemistry, or a closely related field.
• Required: hands-on research experience in an academic or industry laboratory.
• Required: professional written and spoken English at C1 level or higher.
• Required: the ability to explain complex scientific concepts precisely and clearly.
• Required: practical Python programming and experience with scientific writing, reviewing, benchmarking, or model evaluation.
• Helpful: postdoctoral or pharmaceutical or biotechnology research in drug discovery or structural biology.
• Helpful: experience with GROMACS, AMBER, NAMD, OpenMM, free-energy methods, AlphaFold, Rosetta, molecular docking, virtual screening, RDKit, QSAR or QSPR, ADMET prediction, LC-MS/MS, MaxQuant, proteomics, metabolomics, or machine learning for molecular property prediction.
• Helpful: a strong publication record, including first-author research.

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.

AI training is the human work behind systems that generate and evaluate scientific text. Experienced specialists are needed to create reliable examples, spot difficult errors, and explain what a strong answer should contain.