Remote AI Code Reviewer & Prompt Engineer (LatAm)

Outlier; San Juan (PR); Remote; USD 39,000 - 55,000; Part time

Benefits offered by this job

Free access to leading LLMs

Remote freelance contract

Incentive opportunities (Missions)

Job summary

Outlier is seeking a QA Coder to review AI-generated code, rate model responses, and craft clear computer science prompts. This remote, freelance opportunity welcomes applicants from Latin America and related regions.

Expect competitive pay with additional incentive opportunities and flexible project-based work. Qualifications include a Bachelor's degree in Computer Science, production-level software experience, and strong English communication.

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

Software engineering experience

Written & spoken English

Attention to detail

Education

Bachelor's degree in Computer Science

Job description

Outlier is seeking a QA Coder to review AI-generated code, rate model responses, and craft clear computer science prompts. This remote, freelance opportunity welcomes applicants from Latin America and related regions.

Expect competitive pay with additional incentive opportunities and flexible project-based work. Qualifications include a Bachelor's degree in Computer Science, production-level software experience, and strong English communication.