Remote QA Coder for AI Code Generation

Outlier; Mar del Plata; Remote; ARS 59,527,000 - 84,780,000; Full time

Benefits offered by this job

Free access to leading LLMs

Flexible remote work

Competitive hourly pay

Job summary

Outlier invites experienced software engineers to join a structured remote program that helps train AI models for code generation. You will review AI-generated code, rate responses on accuracy and clarity, and craft strong CS prompts from anywhere in Latin America.

Selected candidates work on diverse, production-grade projects and can earn competitive hourly pay while contributing to cutting-edge AI research and model evaluation.

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

BS in CS

Production code exp

English proficiency

Attention to detail

Education

Bachelor's in Computer Science

Job description

Outlier invites experienced software engineers to join a structured remote program that helps train AI models for code generation. You will review AI-generated code, rate responses on accuracy and clarity, and craft strong CS prompts from anywhere in Latin America.

Selected candidates work on diverse, production-grade projects and can earn competitive hourly pay while contributing to cutting-edge AI research and model evaluation.