$40-125/hrAs published by the platform.
This role involves evaluating AI-generated chemical reasoning and responses to identify flawed mechanisms, unsafe procedures, and analytical errors. You will write prompts to test chemical knowledge, review AI outputs for errors, and provide correct expert-level answers with proper attention to safety and experimental conditions.
$40-125/hr
Pay as published by the platform. It is not a guarantee of income or hours.
The platform has not published which countries are eligible for this job.
You apply on DataAnnotation: create an account, take the qualification assessment for your field, then pick up paid projects when you qualify.
Official posting: https://www.dataannotation.tech/job-board/chemist
Last checked on October 8, 2026.
Mercor is recruiting scientists and engineers specialized in inorganic synthesis, materials characterization, superconductors and semiconductors to support a cutting-edge AI research laboratory. You will contribute to generating, structuring and evaluating high-quality scientific data intended for model training, by applying your deep expertise to complex problems in materials physics.
Posted August 1, 2026
This role involves helping train and refine AI models on biochemistry topics by designing test problems, writing ground-truth solutions, and evaluating AI-generated scientific reasoning. The position is ideal for PhD-level biochemists who want to apply their expertise to AI development while working flexibly on a remote, hourly contract basis.
This role involves annotating and evaluating chemistry content for AI model training. A PhD chemist will label complex chemistry questions, map conceptual relationships, review AI-generated answers, and develop datasets across multiple chemistry subfields to improve frontier AI models.
Join a network of chemistry experts to evaluate and train the most advanced AI models. You will contribute to improving AI systems by assessing the quality of their chemical proposals, explaining your technical expertise, and flagging discrepancies between theory and practice.
Posted September 15, 2026
This ongoing project hires advanced STEM experts to write graduate-level and PhD-level problems with exact, verifiable answers, helping AI systems improve at rigorous scientific reasoning. Participants create original problems in their own specialty, write detailed step-by-step solutions, and sometimes review AI-generated answers to find reasoning errors. It is aimed at PhD candidates and holders, postdoctoral researchers, and faculty in biology, chemistry, physics, mathematics, and selected engineering fields.
Posted August 6, 2026
A drug discovery scientist will design realistic preclinical tasks and evaluate how well frontier AI models perform them, grading responses against professional standards. The role involves creating scenarios based on real workflows, running them through AI systems, and providing detailed feedback on whether the models correctly conduct SAR analysis, DMPK interpretation, screening triage, and other core discovery work.
