Data

Prepare, classify, label and evaluate AI data: data annotation, data labeling and response evaluation.

Paid Jobs in Data

  • Label Data

    Data annotation and data labeling: label images, videos, audio and texts that feed model training.

  • Evaluate AI Responses

    Evaluate and compare AI responses, choose the best output and justify the grade following the project guide.

  • Test and Find Errors

    Test AI systems, find errors, hallucinations and behavioral failures before the model reaches the public.

  • Model Security

    Red teaming projects: challenge the model in sensitive scenarios and document unsafe responses.

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