About the role

Role: Manual QA Engineer - AI Trainer

Contribute to developing AI systems by helping train models through coding and evaluation tasks.

Responsibilities

Design and solve diverse coding problems used to train AI systems, with an emphasis on Android development.
Write clear, high-quality code snippets and detailed explanations.
Evaluate AI-generated code for accuracy, performance, and clarity.
Provide feedback that directly informs improvements to future AI models.

Requirements

Fluency in English (native or bilingual).
Excellent writing and grammar skills.
Bachelor’s degree completed or in progress.
Preferred: experience as a Software Developer / Coder / Software Engineer / Programmer.

Preferred / Nice to Have

Kotlin experience.
Proficiency in at least one of: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Swift.

Work Details

Fully remote with a flexible schedule.
Paid work is accessed through the platform after passing a short assessment.
Hourly pay up to $60 USD/hour, with potential for higher-paying projects based on performance.

Eligibility

Job is available only to people in the US, Canada, UK, Ireland, Australia, and New Zealand.

About DataAnnotation

DataAnnotation is a platform/company that helps develop and refine AI systems by recruiting a large community of engineers and coders. It provides paid, project-based work that involves training AI models through coding tasks, evaluation, and feedback. The company operates in the AI development and software engineering services/enablement space.

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