Remote QA Coder for AI Code Generation (LatAm)

Outlier; Santiago de Querétaro; Remote; MXN 718,000 - 1,023,000; Full time

Job summary

Outlier is building a remote program for LatAm software engineers to train AI models by reviewing code, rating model responses, and writing prompts. This 1099 contract role welcomes applicants from across Latin America and emphasizes high-quality code judgments rather than traditional employment.

As a QA Coder, you will review code produced by AI models, score responses on accuracy and presentation, and craft clear CS questions to push model capabilities.

Qualifications

• Completed a Bachelor's degree or higher in Computer Science from a selective institution.
• Software engineering experience contributing to a live production codebase ideally for a technology company.
• 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

Technical writing

Education

Bachelor's degree in Computer Science

Job description

Outlier is building a remote program for LatAm software engineers to train AI models by reviewing code, rating model responses, and writing prompts. This 1099 contract role welcomes applicants from across Latin America and emphasizes high-quality code judgments rather than traditional employment.

As a QA Coder, you will review code produced by AI models, score responses on accuracy and presentation, and craft clear CS questions to push model capabilities.