AI Code QA Engineer — Remote & Flexible

Outlier; Metropolitana; Remote; COP 121,921,000 - 173,645,000; Part time

Benefits offered by this job

Remote work

LLM access

Incentives

Job summary

Outlier is building a structured remote program for LatAm's best software engineers to help train AI models in code generation. Join as a QA coder to review AI-generated code, rate model responses, and craft clear CS questions from anywhere in Latin America.

Earn up to $34 USD/hr with additional incentives and access to leading LLMs. This 1099 contract opportunity requires a CS degree, strong English, and meticulous attention to detail.

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

Written English

Attention to detail

CS knowledge

Education

Bachelor's degree in Computer Science

Job description

Outlier is building a structured remote program for LatAm's best software engineers to help train AI models in code generation. Join as a QA coder to review AI-generated code, rate model responses, and craft clear CS questions from anywhere in Latin America.

Earn up to $34 USD/hr with additional incentives and access to leading LLMs. This 1099 contract opportunity requires a CS degree, strong English, and meticulous attention to detail.