Manual QA Engineer - AI Trainer
DataAnnotation · North Carolina, United States
- Hybrid
- Full-time
- $75,000 / year
- North Carolina, United States
Job highlights
- Train AI systems by solving coding problems.
- Evaluate AI-generated code and provide feedback.
- Work flexibly from home on your schedule.
- Earn $50-$100+/hr based on project scope.
- Contribute directly to AI model refinement.
About the role
Manual QA Engineer - AI Trainer
We are looking for an existing Manual QA Engineer - AI Trainer to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development.
Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.
To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform.
Advantages Of Contracting With Us
- You'll be able to choose which projects you want to work on and when
- You work on your own schedule, on your own computer, from the comfort of your own home
- Projects are paid hourly starting at $50-$100+/hr, with higher rates available for certain projects
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 shapes the next generation of AI models.
Qualifications
- Fluency in English (native or bilingual level).
- Preferred experience in Kotlin.
- Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift.
- Excellent writing and grammar skills.
- A bachelor’s degree (completed or in progress).
- Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.
Note: Payment is made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.
Key skills/competency
- Manual QA
- AI Training
- Android Development
- Kotlin
- JavaScript
- TypeScript
- Python
- C++
- Software Development
- Coding
Skills & topics
- Manual QA
- AI Trainer
- AI Development
- Coding Problems
- Android Development
- Kotlin
- JavaScript
- Python
- Software Engineer
- Contractor
- Remote Work
- Flexible Schedule
- DataAnnotation
How to get hired
- Prepare for the assessment: Master coding challenges and AI evaluation.
- Highlight relevant skills: Emphasize QA, AI training, and preferred languages.
- Showcase writing ability: Demonstrate excellent grammar and clear explanations.
- Apply promptly: Sign up and complete the initial assessment to unlock work.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the assessment process for the Manual QA Engineer - AI Trainer role at DataAnnotation?
- To begin your application for the Manual QA Engineer - AI Trainer position at DataAnnotation, you will need to sign up for an account and complete a short assessment. This assessment serves as the primary method for evaluating your qualifications and is akin to an interview. Passing this assessment will lead to an email confirmation, after which paid work opportunities will become available to you on the platform.
- What are the payment rates and methods for a Manual QA Engineer - AI Trainer at DataAnnotation?
- Manual QA Engineer - AI Trainers at DataAnnotation can expect to earn between $50-$100+ per hour, with potential for higher rates on specific projects. Payments are processed via PayPal. Please note that PayPal handles any necessary currency conversions from USD. DataAnnotation will never ask for payment from you.
- What are the key responsibilities of a Manual QA Engineer - AI Trainer?
- As a Manual QA Engineer - AI Trainer, your core responsibilities include designing and solving coding problems specifically for AI training, with a focus on Android development. You will also be tasked with writing clear code snippets, providing detailed explanations, evaluating AI-generated code for quality and performance, and offering feedback to shape future AI models.
- What programming languages are preferred for the Manual QA Engineer - AI Trainer role?
- While not strictly required, experience in Kotlin is preferred for the Manual QA Engineer - AI Trainer position. Additionally, proficiency in at least one of the following is highly beneficial: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift.
- What are the eligibility requirements for the Manual QA Engineer - AI Trainer job at DataAnnotation?
- To be eligible for the Manual QA Engineer - AI Trainer role at DataAnnotation, you must be fluent in English (native or bilingual level) and possess excellent writing and grammar skills. A bachelor’s degree, completed or in progress, is required. While previous software development experience is preferred, it's not mandatory. Crucially, you must be located in the US, Canada, UK, Ireland, Australia, or New Zealand.
- Can I work as a Manual QA Engineer - AI Trainer at DataAnnotation if I have a full-time job?
- Yes, the Manual QA Engineer - AI Trainer role at DataAnnotation is designed with flexibility in mind. Many team members successfully balance this contracting work with their full-time employment, choosing projects and setting schedules that fit their availability and personal goals.