Human Data for AI Training (Coding) - Instructor
Anyone Ai
Posted: April 10, 2026
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Quick Summary
Deliver live or asynchronous instruction covering code generation, review, and annotation for AI training pipelines. Teach learners how to write clear, well-structured prompts, responses, rubrics, and trajectories.
Required Skills
Job Description
About the Role
We're looking for a skilled human data professional with hands-on coding experience in data generation for AI training workflows (e.g. SWE-Bench like tasks, Agentic tasks, etc) who's ready to share that expertise with others. If you've spent time writing, reviewing, or evaluating code for AI models and are interested in a teaching role, this is for you.
What You'll Do
• Deliver live or asynchronous instruction covering code generation, review, and annotation for AI training pipelines
• Teach learners how to write clear, well-structured prompts, responses, rubrics and trajectories in one or more programming languages (Python, JavaScript, etc.)
• Evaluate and give feedback on learner submissions, focusing on code quality, accuracy, and adherence to annotation guidelines
• Help develop and refine curriculum materials, rubrics, and assessment criteria
• Stay current with evolving AI data quality standards and integrate updates into instruction
What We're Looking For
• Strong programming skills, with Python strongly preferred
• Prior experience in AI data labeling, RLHF workflows, and/or code evaluation for LLMs
• Ability to explain technical concepts clearly to learners of varying skill levels
• Familiarity with prompt engineering and current LLM capabilities
• Detail-oriented with a commitment to data quality and consistency
Nice to Have
• Experience working with platforms like Scale AI, Turing, Mercor, Surge AI, Invisible Technologies, or similar
• Background in computer science education or bootcamp instruction
• Understanding of post-training methodologies and model evaluation
Format & Commitment
• This is a remote position aligned with LATAM timelines and part-time position