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.About the RoleResponsibilitiesValidate code snippets using proof-of-work methodology.Identify inaccuracies in annotator ratings or explanations.Provide constructive feedback to maintain high annotation standards.Work within Project Atlas guidelines for evaluation integrity and consistency.Required QualificationsComfortable using code execution environments and testing tools.Excellent written communication and documentation skills.Experience working with structured QA or annotation workflows.English proficiency at B2, C1, C2, or Native level.Preferred QualificationsExperience in AI training, LLM evaluation, or model alignment.Familiarity with annotation platforms.Exposure to RLHF (Reinforcement Learning from Human Feedback) pipelines.Compensation$30 HourlyPlease make sure to add the JOB ID: JS-25-112 when applying for the position.Why Join Us?Join a high-impact team working at the intersection of AI and software development. Your Python expertise will directly influence the accuracy, safety, and clarity of AI-generated code. This role offers remote flexibility, milestone-based delivery, and competitive compensation.We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.Location note: This role supports remote work.
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