Biologist
SME CareersSTEMFirst seen 9 Oct 2026
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- Where
-
17 countries
United States, Brazil, Germany, India, Bangladesh, Bhutan, Indonesia, Cambodia, Sri Lanka, Malaysia, Nepal, Philippines, Pakistan, Singapore, Thailand, Timor Leste, Vietnam
- Language
- English
- Type
- Contract, remote
- Field
- STEM
Posted on SME Careers First seen 9 Oct 2026Checked 12 Oct 2026
From the SME Careers listing
We’re seeking biologists to join our AI training project. 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.
Responsibilities
- 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.
Requirements
- 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.
Text above is the platform's own listing, shown as published. Check the details on SME Careers before applying.
Prepare for the assessment
Practice questions and what each platform says about its screening for this kind of role:
Terms in this listing
- Prompt: The input given to a model: a question, an instruction or a conversation so far.
- Relevance: How well a result or answer matches what the user was looking for.
- Fact-checking: Checking each claim in a model's answer against reliable sources and marking what is wrong or unsupported.
- Labeling: Assigning a category or tag to an item, for example marking a review as positive or negative. Often used as a synonym for annotation.
- RLHF: A way of improving a model by having people compare or score its answers, training a reward model on those judgements, then tuning the model to produce answers people prefer.
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