Remote QA Coder for AI Code Review & Prompts LATAM

Outlier; Región Centro; Remote; MXN 718,000 - 1,023,000; Part time

Benefits offered by this job

1099 contract

Remote work (LatAm)

Surge/incentive pay

Job summary

Outlier offers a structured remote QA coder program designed for Latin America, allowing engineers to help train AI models that generate, debug, and evaluate code. The role is 1099 contract work with flexible remote hours across LatAm, and no AI background is required beyond strong CS basics.

Your work focuses on reviewing AI-produced code, scoring model outputs on accuracy and instruction following, and crafting clear CS prompts to improve performance.

Qualifications

• Completed a Bachelor's degree 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

Code review

Education

Bachelor's degree in Computer Science

Job description

Outlier offers a structured remote QA coder program designed for Latin America, allowing engineers to help train AI models that generate, debug, and evaluate code. The role is 1099 contract work with flexible remote hours across LatAm, and no AI background is required beyond strong CS basics.

Your work focuses on reviewing AI-produced code, scoring model outputs on accuracy and instruction following, and crafting clear CS prompts to improve performance.