About the role

Quality Assurance Engineer (AI Model Training)

Join the team to train and evaluate AI models by measuring chatbot progress, assessing logic, and solving problems to improve overall quality.

Responsibilities

Provide AI chatbots coding challenges and evaluate their outputs
Assess AI-generated responses for correctness and performance
Identify issues and help improve model quality through debugging and problem-solving

Requirements

Proficiency in at least one programming language, specifically Python and/or JavaScript (also acceptable: JavaScript, Python, C#, C++, HTML, SQL, Swift)
Ability to solve coding problems (e.g., LeetCode, HackerRank-style)
Ability to explain how your solution solves each coding problem
Fluent English (native or bilingual)
Detail-oriented approach
Experience with algorithms, data structures, and debugging workflows
Bachelor’s degree preferred (current, in progress, or completed)

Contract & Work Details

Remote position (independent contract)
Choose which projects to work on and work on your own schedule
Projects are paid hourly up to $60 USD/hour, with bonuses for high-quality and high-volume work
Payment via PayPal
Applicants must be located in the United States

About DataAnnotation

DataAnnotation is an organization that leverages AI and human evaluation to improve AI model quality. The role focuses on training and assessing AI chatbots to ensure their responses are correct, performant, and reliable. This work sits at the intersection of AI development, quality assurance, and applied programming tasks.