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Turing is seeking precise Video Data Annotators to support first-person video understanding projects. You will analyze clips at exact timestamps and answer questions strictly from visible content, ensuring no future frames or external assumptions influence responses.
The role emphasizes disciplined thinking, near-obsessive accuracy, and adherence to strict guidelines while contributing to state-of-the-art vision-language model training.
Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L.
We are looking for highly detail-oriented Video Data Annotators to support cutting-edge AI/ML initiatives focused on first-person (egocentric) video understanding.In this role, you will analyze video clips and answer questions based strictly on what is visually observable at a specific moment in time. Your work will directly contribute to training and improving advanced vision-language models.This is a precision-driven role that requires strong observational skills, disciplined thinking, and the ability to follow strict guidelines.
Candidates will need to complete an assessment, after which the team will reach out with the next steps.