Remote JavaScript QA Coder for AI Model Training

Outlier; San Miguel de Tucumán; Remote; ARS 59,527,000 - 84,780,000; Full time

Benefits offered by this job

Flexible work from anywhere

Free access to leading LLMs - worth $0

Job summary

Outlier seeks QA Coders to review AI-generated code and rate model responses. This contract role focuses on identifying errors and improving AI code generation through structured guidelines.

Ideal candidates have a CS degree, live production code experience, and strong English communication. Rates vary by expertise and location; multiple countries in Latin America are supported. Onboarding is streamlined for remote applicants.

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

Production codebase experience

Fluent written and spoken English

Education

Bachelor's degree in Computer Science

Job description

Outlier seeks QA Coders to review AI-generated code and rate model responses. This contract role focuses on identifying errors and improving AI code generation through structured guidelines.

Ideal candidates have a CS degree, live production code experience, and strong English communication. Rates vary by expertise and location; multiple countries in Latin America are supported. Onboarding is streamlined for remote applicants.