
Mobile QA Engineer - AI Trainer
DataAnnotation · Tennessee, United States
- Hybrid
- Full-time
- $75,000 / year
- Tennessee, United States
Job highlights
- Design and solve coding problems for AI training.
- Evaluate and provide feedback on AI-generated code.
- Work flexibly on your own schedule and computer.
- Earn $50-$100+/hr on diverse AI development projects.
- Contribute to next-generation AI model refinement.
About the role
Mobile QA Engineer - AI Trainer
We are looking for an existing Mobile 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.
Getting Started
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.
Important Notes
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
- Mobile QA Engineer
- AI Trainer
- Android Development
- Kotlin
- Python
- JavaScript
- Coding Problems
- AI Models
- Data Analysis
- Software Development
Skills & topics
- Mobile QA Engineer
- AI Trainer
- Android Development
- Kotlin
- JavaScript
- Python
- Coding
- AI
- Software Development
- QA
- Testing
- Contractor
- Remote Work
- Flexible Schedule
- DataAnnotation
How to get hired
- Prepare your resume: Highlight mobile QA, AI training, Android development, and any listed programming language experience.
- Ace the assessment: Treat the initial assessment as your interview; demonstrate strong coding and problem-solving skills.
- Apply strategically: Sign up on the DataAnnotation platform and complete the assessment to unlock paid work.
- Showcase your skills: Focus on clear code, detailed explanations, and constructive feedback to impress AI model evaluators.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the application process for a Mobile QA Engineer - AI Trainer at DataAnnotation?
- The application process for a Mobile QA Engineer - AI Trainer at DataAnnotation begins with signing up for an account on their platform. After signing up, you will take a short assessment, which serves as their version of an interview. If you pass this assessment, you will receive an email confirmation, and paid work will become available to you.
- What are the salary expectations for a Mobile QA Engineer - AI Trainer at DataAnnotation?
- Projects for Mobile QA Engineer - AI Trainers at DataAnnotation are paid hourly, starting at $50-$100+/hr. Higher rates may be available for certain projects, offering a competitive compensation structure for contract work.
- What programming languages or frameworks are essential for the Mobile QA Engineer - AI Trainer role at DataAnnotation?
- While preferred experience is in Kotlin, proficiency in at least one of the following is required for the Mobile QA Engineer - AI Trainer role: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Demonstrating skill in these areas will strengthen your application.
- Is prior professional experience required to be a Mobile QA Engineer - AI Trainer at DataAnnotation?
- Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred for the Mobile QA Engineer - AI Trainer position at DataAnnotation. However, a bachelor's degree (completed or in progress) and strong programming skills demonstrated in the assessment are also valued.
- What are the eligibility requirements for the Mobile QA Engineer - AI Trainer role at DataAnnotation?
- To be eligible for the Mobile QA Engineer - AI Trainer role, you must have fluency in English (native or bilingual level), excellent writing and grammar skills, and a bachelor's degree (completed or in progress). Additionally, this role is only available to individuals located in the US, Canada, UK, Ireland, Australia, and New Zealand.
- How does DataAnnotation handle payments for Mobile QA Engineer - AI Trainers?
- DataAnnotation handles payments for Mobile QA Engineer - AI Trainers via PayPal. They will never ask for money from you, and PayPal will manage any necessary currency conversions from USD. This ensures a secure and straightforward payment process.
- Can I work as a Mobile QA Engineer - AI Trainer for DataAnnotation alongside a full-time job?