Remote AI QA Coder: Train Models & Improve Code

Outlier; La Serena; Remote; CLP 38,488,000 - 54,816,000; Full time

Benefits offered by this job

Remote work from anywhere

Up to $34 USD/hr

Missions incentives

Top quartile earnings bonus

Job summary

Outlier is seeking QA Coders to help train AI models by reviewing AI-generated code, rating responses, and writing clear programming questions. This is a remote, contract-based role open to Latin America.

Qualified candidates have a Bachelor's in CS, production code experience, and strong English communication. Earn up to $34 per hour, with additional incentive opportunities and flexible work arrangement.

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 proficiency

Attention to detail

Clear written communication

Education

Bachelor's degree in Computer Science

Job description

Outlier is seeking QA Coders to help train AI models by reviewing AI-generated code, rating responses, and writing clear programming questions. This is a remote, contract-based role open to Latin America.

Qualified candidates have a Bachelor's in CS, production code experience, and strong English communication. Earn up to $34 per hour, with additional incentive opportunities and flexible work arrangement.