Experts across disciplines.

Our software engineers bring experience building and debugging software to AI training. They work with code, terminals and tools, writing tasks, reference solutions and tests that show whether a model’s work holds up.

Our STEM contributors include PhDs and practicing engineers with backgrounds in mathematics, science and engineering. They work through calculations, check assumptions and review how a model reaches its answer.

Our social science contributors include authors, social scientists and PhDs with AI training experience. They work with research evidence and human behavior, helping models handle questions that require interpretation, context and judgment.

Our medical contributors bring MD backgrounds and AI training experience to clinical information. They work through records, medical coding and guidelines, checking whether a model’s conclusions are supported by the evidence.

Our finance experts combine experience in high finance with hands-on work training AI. They work on markets, valuation and financial reporting, checking both the numbers and the reasoning behind a model’s answer.

Our generalists have worked across AI training projects as contributors, reviewers and project leads. Their experience spans research, writing, finance and tool use.