Our contributors know their fields and know how to train AI. They turn professional and research expertise into data that models can learn from.
We’re continuously building our team and looking for more experts across these fields and beyond.Bring your expertiseOur 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 practising engineers with backgrounds in mathematics, science and engineering. They apply that knowledge to AI training, working through calculations, checking assumptions and reviewing 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 behaviour, 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 bring that perspective to 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. They know how to follow a brief, review submissions and help a team deliver consistent work.
A brief can span several fields. We scope the subject knowledge, tools and review requirements together, then agree the team for the project.
What our teams deliver