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SuperAnnotate AI, Inc
Project Description
This project involves reviewing Al-generated responses, evaluating reasoning quality and
step-by-step problem-solving, and providing expert feedback that helps models produce
answers that are accurate, logical, and clearly explained. You will assess solutions for
accuracy, clarity, and adherence to the prompt; identify errors in methodology or
conceptual understanding; fact-check biological information; write high-quality biological
explanations and model solutions that demonstrate correct methods; and rate and
compare multiple Al responses based on biological correctness and reasoning quality.
Compensation
Compensation is competitive and varies based on education level, institution, and prior experience.
Hiring Profile
• You hold a PhD in Biology (or a closely related life science).• You have developed or critically reviewed complex math content (e.g., problembanks, proofs, textbook sections, research notes).• Published in a peer-reviewed journal.• English proficiency C1 and above with excellent writing skills.• Bonus: Data labeling, RLHF, or Al model evaluation experience. Next steps
Apply via partner site - Braintrust will send you an email with detailed instructions.Qualification exam (1–2 hours): evaluates your role-specific expertise. Compensation provided upon passing.Project exam (1–2 hours): evaluates your adherence to project guidelines and ability to produce math-specific deliverables. Compensation provided upon passing. Commitment
We expect a minimum of 17–20 hours per week, however considering the project scope and timelines the preferred and recommended commitment would be 8 hours/day. #LI-MS1 #LI-Remote
Apply directly on Braintrust to get started.