AI QA Coder: Train Models & Improve Code (Remote LATAM)

Outlier; Mérida; Remote; MXN 512,000 - 871,000; Full time

Benefits offered by this job

Free access to leading LLMs

Remote work

Job summary

Outlier is building a remote QA coding program across LatAm, inviting experienced software engineers to train AI models by reviewing AI-generated code and scoring model responses. The role emphasizes clear communication in English and rigorous attention to detail.

Working remotely from anywhere, you can earn up to $34 USD/hr, with additional incentives and ongoing access to leading AI tools. Apply if you have a CS degree and production code experience.

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

Live production codebase

English fluency (written & spoken)

Attention to detail

Education

Bachelor’s degree in Computer Science

Job description

Outlier is building a remote QA coding program across LatAm, inviting experienced software engineers to train AI models by reviewing AI-generated code and scoring model responses. The role emphasizes clear communication in English and rigorous attention to detail.

Working remotely from anywhere, you can earn up to $34 USD/hr, with additional incentives and ongoing access to leading AI tools. Apply if you have a CS degree and production code experience.