[Hiring] Human Data for AI Training (Coding) - Instructor @Anyone AI

Role Description

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.

• 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.

Qualifications

• 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.

Requirements

• 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.

Benefits

• This is a remote position aligned with LATAM timelines and part-time position.