Remote AI Code QA Engineer

Outlier; Ciudad de Mendoza; Remote; ARS 42,443,000 - 72,153,000; Full time

Benefits offered by this job

Remote work

Free access to leading LLMs

Job summary

Outlier invites you to join its QA Coder program designed for LatAm's best engineers. Review AI-generated code, rate model responses on accuracy and instruction following, and craft clear prompts to push AI coding capabilities.

This 1099 contract offers flexible remote work from anywhere with competitive pay up to $34/hour, plus additional incentives tied to project milestones. Prior live production code experience and strong English are desirable.

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 proficiency

Attention to detail

Strong communication

CS fundamentals

Education

Bachelor's degree in Computer Science

Job description

Outlier invites you to join its QA Coder program designed for LatAm's best engineers. Review AI-generated code, rate model responses on accuracy and instruction following, and craft clear prompts to push AI coding capabilities.

This 1099 contract offers flexible remote work from anywhere with competitive pay up to $34/hour, plus additional incentives tied to project milestones. Prior live production code experience and strong English are desirable.