Remote JavaScript QA Coder for AI Model Training

Outlier; Rosario; Remote; ARS 59,527,000 - 84,780,000; Part time

Benefits offered by this job

Free access to leading LLMs

Flexible remote work

Performance incentives

Job summary

Outlier invites experienced software engineers to join its remote QA coder program designed to train AI models for code generation. Work from anywhere in LatAm, posting high-quality code reviews and prompts. The role pays up to $34 USD/hr, with additional incentives and missions.

Ideal candidates hold a Computer Science degree and have production-code experience, fluent English communication, and meticulous attention to detail. Applicants from many Latin American countries are welcome to apply.

Qualifications

• 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

English fluency

Attention to detail

Production code experience

Education

Bachelors in Computer Science

Job description

Outlier invites experienced software engineers to join its remote QA coder program designed to train AI models for code generation. Work from anywhere in LatAm, posting high-quality code reviews and prompts. The role pays up to $34 USD/hr, with additional incentives and missions.

Ideal candidates hold a Computer Science degree and have production-code experience, fluent English communication, and meticulous attention to detail. Applicants from many Latin American countries are welcome to apply.