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SME Careers

SME Careers

sme.careers

9 Jobs

32 Employees

About the Company

SME Careers connects subject-matter experts, students, and professionals with flexible, remote AI training work such as annotation, evaluation, fact-checking, and content review. We partner with leading AI teams, and all contributions are paid weekly once approved, ensuring consistent and reliable compensation.

Listed Jobs

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Company Name
SME Careers
Job Title
Physicist (PhD) for AI Data Training
Job Description
Job title: Physicist (PhD) for AI Data Training Role Summary: Provide expert physics evaluation of AI-generated responses, ensuring accuracy, clarity, and logical reasoning. Review, fact‑check, and rewrite physics explanations; rate multiple model outputs and deliver actionable feedback to improve AI model performance. Operate independently while collaborating with a distributed remote team. Expactations: Deliver timely, high‑quality evaluations; maintain consistency in assessment criteria; adhere to confidentiality and data‑privacy standards; contribute to continuous improvement of AI reasoning capabilities; engage in peer collaboration and knowledge sharing. Key Responsibilities: - Critically assess AI responses for physics accuracy, method correctness, and logical flow. - Identify and annotate errors in calculations, concepts, or reasoning. - Draft clear, step‑by‑step physics explanations and model solutions. - Rate and compare multiple AI outputs based on correctness and reasoning quality. - Provide constructive feedback to AI trainers and developers to refine models. - Participate in regular virtual meetings to discuss evaluation metrics and best practices. Required Skills: - Advanced physics knowledge and strong analytical reasoning. - Experience evaluating complex mathematical or technical content. - Excellent written communication and English language proficiency (C1+). - Familiarity with data labeling, reinforcement learning from human feedback (RLHF), or AI model evaluation (bonus). - Ability to work independently and manage time effectively. Required Education & Certifications: - PhD in Physics or Chemistry from a world‑ranked (top‑100) university. - Published peer‑reviewed scholarly work demonstrating deep subject‑matter expertise.
London, United kingdom
Remote
04-11-2025
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Company Name
SME Careers
Job Title
Biologist (PhD) for AI Data Training
Job Description
Job Title: Biologist (PhD) for AI Data Training Role Summary: Independent, fully remote reviewer evaluating AI-generated biological content. Provide expert feedback to improve model accuracy, reasoning, and clarity. Expectations: * Deliver consistent, high‑quality assessments of AI responses. * Maintain strong analytical rigor and adherence to scientific accuracy. * Communicate findings clearly in written reports and brief consensus discussions with the team. Key Responsibilities: 1. Review AI‑generated biological answers for accuracy, clarity, and logical reasoning. 2. Identify methodological or conceptual errors and fact‑check biological facts. 3. Generate model solutions and explanations that demonstrate correct biological methods. 4. Rate and compare multiple AI responses based on correctness and reasoning quality. 5. Provide written feedback and contribute to iterative training data improvement. Required Skills: * Advanced knowledge of biological concepts and research methodologies. * Strong analytical and critical review skills (e.g., for complex math or research content). * Excellent written English (C1+), clear and concise scientific communication. * Ability to work independently and manage time on a flexible schedule. * Bonus: experience with data labeling, reinforcement learning from human feedback (RLHF), or AI model evaluation. Required Education & Certifications: * PhD in Biology or a closely related life science field from a top‑100 university. * Peer‑reviewed publication record. ---
London, United kingdom
Remote
04-11-2025
Company background Company brand
Company Name
SME Careers
Job Title
Chemist for AI Data Training
Job Description
Job title: Chemist for AI Data Training Role Summary: Provide expert chemical evaluation and feedback on AI-generated responses to improve model accuracy, reasoning, and clarity. Review, fact‑check, and rewrite chemical explanations, and assign quality scores to multiple AI outputs. Work remotely, independently, with a distributed team, and deliver high‑quality annotated data for AI training. Expactations: - Deliver accurate, clear, and logically structured chemical explanations. - Maintain rigorous fact‑checking using publicly available sources. - Provide detailed error analysis and suggestions for improvement. - Complete tasks within agreed deadlines and quality thresholds. - Communicate findings and recommendations effectively in English. Key Responsibilities: - Evaluate AI responses against prompt requirements and chemical correctness. - Identify and correct errors in calculations, methodology, or conceptual understanding. - Rewrite solutions with advanced theory translated into clear, real‑world explanations. - Rate and compare multiple model outputs based on reasoning quality and chemical correctness. - Contribute to iterative model improvement through systematic labeling and feedback. - Collaborate with the remote team via project management tools and communication platforms. Required Skills: - Strong analytical and chemical reasoning skills. - Proficiency in fact‑checking across multiple domains and public sources. - Excellent written communication in English (C1 or higher). - Ability to independently prioritize tasks and adhere to guidelines. - Experience with research, analytical writing, debate, programming, or chemistry preferred. - Bonus: familiarity with data labeling, reinforcement learning from human feedback (RLHF), or AI model evaluation. Required Education & Certifications: - BS, MS, or PhD in Chemistry or a closely related scientific discipline from a top‑100 university. - Relevant certifications in data labeling or AI evaluation are advantageous.
Cambridge, United kingdom
Remote
04-11-2025
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Company Name
SME Careers
Job Title
Mathematician (PhD) for AI Data Training
Job Description
**Job Title:** Mathematician (PhD) for AI Data Training **Role Summary:** Evaluate and enhance AI-generated mathematical solutions by reviewing reasoning, accuracy, and clarity. Provide expert feedback, generate correct model answers, and rate multiple AI responses to improve training data quality in a fully remote, flexible setting. **Expectations:** - Apply advanced mathematical expertise to assess complex problem‑solving outputs. - Work independently while collaborating with a distributed evaluation team. - Consistently produce high‑quality written explanations and corrections on a weekly basis. **Key Responsibilities:** 1. Review AI‑generated responses to mathematical prompts. 2. Assess accuracy, logic, calculation correctness, and adherence to the problem statement. 3. Identify and document errors in methodology, reasoning, and factual data. 4. Write clear, correct model solutions and explanatory notes. 5. Rate and compare multiple AI responses for overall mathematical correctness and reasoning quality. 6. Provide constructive feedback to inform AI model improvements. **Required Skills:** - Deep knowledge of advanced mathematics and statistics. - Strong analytical and critical‑thinking abilities. - Excellent written communication and English proficiency (C1+). - Familiarity with AI training workflows, data labeling, or RLHF is advantageous. **Required Education & Certifications:** - PhD in Mathematics, Statistics, or a closely related quantitative field from a top‑100 university. - Authored peer‑reviewed journal publications in mathematics or related disciplines.
Cambridge, United kingdom
Remote
04-11-2025