Remote AI QA Coder: Train Code-Generation Models

Outlier; Cartagena de Indias; Remote; COP 121,921,000 - 173,645,000; Full time

Benefits offered by this job

Flexible work from anywhere

Free access to leading LLMs

Job summary

Outlier is recruiting for a QA Coder role in a remote, LATAM-friendly program that trains AI models by reviewing AI-generated code and rating model responses. You’ll also craft clear prompts to push model coding capabilities and contribute to evaluation guidelines.

The ideal candidate has a CS degree, production-code experience, strong English communication, and meticulous attention to detail. Work-from-anywhere flexibility is offered, with competitive hourly pay and performance incentives.

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 and flag errors, inconsistencies, or quality issues using structured guidelines.
• Rate and rank model responses across key dimensions—accuracy, instruction following, and presentation.
• Write clear, well-structured prompts to challenge AI models and push coding capabilities.

Skills

English fluency

Attention to detail

Software engineering experience

Education

Bachelor's degree in Computer Science

Job description

Outlier is recruiting for a QA Coder role in a remote, LATAM-friendly program that trains AI models by reviewing AI-generated code and rating model responses. You’ll also craft clear prompts to push model coding capabilities and contribute to evaluation guidelines.

The ideal candidate has a CS degree, production-code experience, strong English communication, and meticulous attention to detail. Work-from-anywhere flexibility is offered, with competitive hourly pay and performance incentives.