Remote AI Code QA Engineer (LatAm)

Outlier; Caracas; Remote; VES 34,287,000 - 48,833,000; Part time

Benefits offered by this job

Free access to leading LLMs

Incentive payments via Missions

Flexible remote work

Job summary

Outlier is seeking QA Coders to review AI-generated code and flag issues, rate model responses for accuracy and instruction following, and craft clear computer science prompts. This is a remote, flexible opportunity across Latin America, with compensation based on hourly work and additional incentives.

Applicants should have a CS degree, production code experience, and fluency in English. This role emphasizes attention to detail and high-quality writing. Apply to join a dynamic AI-training team.

Qualifications

• Completed a Bachelor's degree 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 development

English fluency

Attention to detail

Education

Bachelor's degree in Computer Science

Job description

Outlier is seeking QA Coders to review AI-generated code and flag issues, rate model responses for accuracy and instruction following, and craft clear computer science prompts. This is a remote, flexible opportunity across Latin America, with compensation based on hourly work and additional incentives.

Applicants should have a CS degree, production code experience, and fluency in English. This role emphasizes attention to detail and high-quality writing. Apply to join a dynamic AI-training team.