Job Description
Your insights will directly contribute to the training of AI in chemistry, physics, and engineering applications. You’ll help AI better understand structure-property relationships, materials design, and experimental methods. This is a contract remote position with variable time commitments.
You will review AI-labeled content across materials science and engineering topics. Apply technical knowledge to assess accuracy and completeness of data. Support the development of AI tools used in research and applied science. Provide structured annotations and feedback using proprietary platforms. Collaborate with AI researchers to refine task specifications.
About Handshake
Handshake is building the future of human data for AI, partnering directly with top AI labs to power large language model (LLM) training and evaluation with high-quality data.