Remote AI QA Coder: Code Review & Prompt Crafting

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

Benefits offered by this job

Free access to leading LLMs

Job summary

Outlier is inviting experienced software engineers to join a remote QA coder program designed to train AI models to excel in code generation. You will review AI-produced code, rate model responses, and craft clear computer science prompts from Latin America, with opportunities across multiple countries.

Eligible applicants hold a Computer Science degree and have production codebase experience. Strong English writing and speaking skills, plus keen attention to detail, are essential for success in

Qualifications

• 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.
• Currently accepting applicants from: Argentina, Bolivia, Chile, Colombia, Costa Rica, Dominican Republic, Guatemala

Responsibilities

• Review AI-generated code and flag errors, inconsistencies, or quality issues using structured guidelines.
• Rate and rank model responses across key dimensions — accuracy, instruction following, and presentation.
• Write computer science questions: develop clear, well-structured prompts that challenge AI models and push the boundaries of their coding ability.

Skills

English fluency

Production codebase experience

Software engineering

Attention to detail

Education

Bachelor's degree in Computer Science

Job description

Outlier is inviting experienced software engineers to join a remote QA coder program designed to train AI models to excel in code generation. You will review AI-produced code, rate model responses, and craft clear computer science prompts from Latin America, with opportunities across multiple countries.

Eligible applicants hold a Computer Science degree and have production codebase experience. Strong English writing and speaking skills, plus keen attention to detail, are essential for success in