Biochemist
SME CareersSTEMFirst seen 9 Oct 2026
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- Where
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27 countries
United States, Germany, United Kingdom, Australia, Canada, New Zealand, Austria, Belgium, Switzerland, Denmark, Spain, Finland, France, Gibraltar, Greece, Ireland, Iceland, Italy, Liechtenstein, Luxembourg, Monaco, Malta, Netherlands, Norway, Portugal, Sweden, San Marino
- Language
- English
- Type
- Contract, remote
- Field
- STEM
Posted on SME Careers First seen 9 Oct 2026Checked 12 Oct 2026
From the SME Careers listing
In this hourly, remote contractor role, you will work as a Biochemistry Expert (SME) to review AI-generated biochemistry content and/or create high-quality biochemistry reference content, evaluating scientific accuracy, reasoning quality, terminology, and step-by-step explanations while providing precise written feedback. You will assess outputs for correctness, clarity, biochemical reasoning, calculation accuracy where relevant, experimental context, safety awareness, and adherence to the prompt; identify errors in molecular mechanisms, pathways, enzyme kinetics, protein structure, metabolism, genetics, lab methods, and scientific interpretation; fact-check claims when needed; write high-quality rewrites and model answers that demonstrate best practices in biochemistry explanation; and rate and compare multiple AI responses based on correctness and overall quality.
This role is with SME Careers, a fast-growing AI Data Services company and subsidiary of SuperAnnotate, delivering training data for many of the world’s largest AI companies and foundation-model labs. Your biochemistry expertise directly helps improve the world’s premier AI models by making their biochemical, molecular biology, and life-science outputs more accurate, reliable, and clearly explained.
Responsibilities
- Develop AI Training Content: Create prompts and gold-standard biochemistry answers across topics such as metabolism, enzyme kinetics, protein structure, molecular biology, laboratory methods, genetics, and biochemical regulation.
- Optimize AI Performance: Evaluate and rank AI outputs to improve scientific accuracy, reasoning quality, terminology, structure, clarity, and relevance to the user’s prompt.
- Ensure Model Integrity: Detect unsafe or misleading scientific content, hallucinated mechanisms, incorrect pathways, flawed calculations, unsupported claims, and overconfident interpretations; validate reliability across life-science use cases.
Requirements
- Bachelor’s degree or higher in Biochemistry, Molecular Biology, Biology, Chemistry, Biotechnology, Biomedical Sciences, Pharmacology, or a related field, or equivalent professional experience.
- Strong professional proficiency in English, minimum C1, to follow guidelines and provide detailed feedback in English.
- 3+ years of experience in biochemistry research, laboratory work, teaching, tutoring, scientific writing, academic review, life-science QA, or related scientific work.
- Deep understanding of proteins, enzymes, metabolism, nucleic acids, carbohydrates, lipids, cell signaling, molecular biology, and biochemical techniques.
- Ability to evaluate biochemical explanations, mechanisms, pathways, figures, calculations, and experimental interpretations for scientific accuracy and clarity.
- Comfortable identifying hallucinated claims, incorrect mechanisms, unsafe lab advice, flawed reasoning, misleading simplifications, or unsupported biological/chemical statements.
- High attention to detail when reviewing terminology, reaction logic, pathway directionality, units, concentrations, lab protocols, and data interpretation.
- Reliable, self-directed, and able to deliver consistent quality in an hourly, remote contractor workflow across time zones.
- Prior experience with AI data training/annotation, scientific QA, academic QA, content review, or rubric-based evaluation is strongly preferred.
Text above is the platform's own listing, shown as published. Check the details on SME Careers before applying.
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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.
- Rewrite: A task where you fix a model's answer so it is correct, complete and follows the guidelines, instead of only scoring it.
- Relevance: How well a result or answer matches what the user was looking for.
- Guidelines: The project's written instructions that define how to do a task and how to judge answers. On most projects they take precedence over personal preference.
- Annotation: Adding labels or notes to data such as text, images, audio or video so a model can learn from it.
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