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Human Data for AI Training (Coding) - Instructor

Anyone Ai

Mexico City, Mexico, Mexico Remote contract

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.

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

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