Remote AI Code Reviewer & Model Trainer

Outlier; Puebla de Zaragoza; Remote; MXN 512,000 - 871,000; Full time

Benefits offered by this job

Remote work flexibility

Competitive hourly rates

Incentives through Missions

Job summary

Outlier invites you to join its remote QA coder program, where you review AI-generated code, flag issues, and help improve model quality. You’ll work on structured guidelines and collaborate with a global team.

Ideal candidates have a CS degree, production-level software experience, and strong written and spoken English. You’ll write clear prompts and contribute to training data, with flexible hours and transparent pay.

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.
• 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

English fluency (written and spoken)

Attention to detail

Software engineering experience

Clear communication of complex ideas

Education

Bachelor's degree in Computer Science

Job description

Outlier invites you to join its remote QA coder program, where you review AI-generated code, flag issues, and help improve model quality. You’ll work on structured guidelines and collaborate with a global team.

Ideal candidates have a CS degree, production-level software experience, and strong written and spoken English. You’ll write clear prompts and contribute to training data, with flexible hours and transparent pay.