Remote QA Coder for AI Code Training (LatAm)

Outlier; United States; Remote; MXN 718,000 - 1,023,000; Part time

Benefits offered by this job

Earn Up To $34 USD/hr — Plus Incentiv

Remote work from anywhere

Free access to leading LLMs

Job summary

Outlier offers a remote program for Latin America’s top software engineers to help train AI models that generate, debug, and evaluate code. You’ll review AI-produced code, rate model responses, and craft CS prompts. This 1099 contract role supports flexible work from anywhere in LATAM.

Ideal candidates hold a Bachelor's degree in Computer Science and have live production code experience, plus fluent English and keen attention to detail. Mexico is among eligible locations.

Qualifications

• Bachelor's degree or higher in Computer Science from a selective institution.
• Experience contributing to a live production codebase 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

Prompt writing

Education

Bachelor's degree in Computer Science

Tools

Git

Job description

Outlier offers a remote program for Latin America’s top software engineers to help train AI models that generate, debug, and evaluate code. You’ll review AI-produced code, rate model responses, and craft CS prompts. This 1099 contract role supports flexible work from anywhere in LATAM.

Ideal candidates hold a Bachelor's degree in Computer Science and have live production code experience, plus fluent English and keen attention to detail. Mexico is among eligible locations.