In this role, you will review AI-generated responses, evaluate reasoning quality and step-by-step problem-solving, and provide 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 AI responses based on biological correctness and reasoning quality.

Important:

There is no immediate project for this role; however, if qualified, you will be among the first experts we reach out to when relevant opportunities arise. This will also provide you with access to future projects available through our expert network.

• Develop AI Training Content: Create detailed prompts in various topics and responses to guide AI learning, ensuring the models reflect a comprehensive understanding of diverse subjects.
• Optimize AI Performance: Evaluate and rank AI responses to enhance the model's accuracy, fluency, and contextual relevance.
• Ensure Model Integrity: Test AI models for potential inaccuracies or biases, validating their reliability across use cases.

• You hold a MS or PhD in Biology, Molecular Biology, Biochemistry, Physiology, or a closely related life-science field.in one of the top 100 universities.
• Confident in human and animal biology, molecular pathways, physiology, disease/health fundamentals, and lab/experimental reasoning.
• You have developed or critically reviewed complex biology content (e.g., problem banks, proofs, textbook sections, research notes).
• Expert at fact-checking information using public sources across multiple domains.
• Published in a peer-reviewed journal.
• You communicate biology clearly and turn advanced theory into real-world solutions.
• English proficiency C1 and above with excellent writing skills.
• Bonus: Data labeling, RLHF, or AI model evaluation experience.

Interview required.

Work arrangement: Fully remote

Applicant eligibility: 17 eligible countries