Remote AI QA Coder - Help Train Smarter Code

Outlier; Santiago; Remote; CLP 38,488,000 - 54,816,000; Part time

Benefits offered by this job

Remote work

Free access to leading LLMs

Job summary

Outlier is seeking a QA Coder to help train AI models by auditing AI-generated code and providing structured feedback. Join a distributed team validating code quality and contributing to real production work, with flexible remote participation from eligible countries.

You will rate model responses, identify errors, and craft clear prompts to challenge AI systems. Ideal candidates hold a Bachelor's in Computer Science, have software engineering experience on production codebases, and can

Qualifications

• Completed a Bachelor's degree in Computer Science.
• Software engineering experience contributing to a live production codebase.
• Ability to articulate complex concepts fluently in written and spoken English.
• Excellent attention to detail, including grammar, punctuation, and style guidelines.

Responsibilities

• Review AI-generated code: Read through code produced by AI models and flag errors, inconsistencies, or quality issues using structured guidelines.
• Rate and rank model responses: Score responses across key dimensions - accuracy, instruction following, and presentation - to help improve model output.
• Write computer science questions: Develop clear, well-structured prompts that challenge AI models and push the boundaries of their coding ability.

Skills

English fluency

Attention to detail

Production codebase experience

Education

Bachelor's degree in Computer Science

Job description

Outlier is seeking a QA Coder to help train AI models by auditing AI-generated code and providing structured feedback. Join a distributed team validating code quality and contributing to real production work, with flexible remote participation from eligible countries.

You will rate model responses, identify errors, and craft clear prompts to challenge AI systems. Ideal candidates hold a Bachelor's in Computer Science, have software engineering experience on production codebases, and can