Full Stack QA Engineer - AI Trainer
DataAnnotation · Illinois, United States
- Hybrid
- Full-time
- $75,000 / year
- Illinois, United States
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Job highlights
- Train AI models by solving coding problems.
- Work flexibly on your own schedule.
- Earn $50-$100+/hr on diverse projects.
- Refine AI with your feedback.
- Contribute to cutting-edge AI development.
About the role
Full Stack QA Engineer - AI Trainer
We are looking for an existing Full Stack 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.
How to Get 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
- Full Stack QA Engineer
- AI Trainer
- Android Development
- Kotlin
- JavaScript
- TypeScript
- Python
- C++
- React
- Software Development
Skills & topics
- Full Stack QA Engineer
- AI Trainer
- Android Development
- Kotlin
- JavaScript
- TypeScript
- Python
- C++
- React
- Software Development
- Coding Problems
- AI Models
- Remote Work
- Contractor
How to get hired
- Prepare your assessment: Study the programming languages and frameworks mentioned.
- Highlight relevant experience: Emphasize any background in software development, coding, or AI.
- Showcase writing skills: Demonstrate excellent grammar and clear explanation abilities.
- Ensure eligibility: Confirm you are in the US, Canada, UK, Ireland, Australia, or New Zealand.
Technical preparation
Master Kotlin and Android development.,Practice diverse coding problem-solving.,Review JavaScript, Python, C++ skills.,Prepare to evaluate AI-generated code.
Behavioral questions
Describe how you provide constructive feedback.,How do you manage your schedule effectively?,Explain your problem-solving approach.,How do you ensure code accuracy and clarity?
Frequently asked questions
- What is the application process for a Full Stack QA Engineer - AI Trainer at DataAnnotation?
- The application process for a Full Stack QA Engineer - AI Trainer at DataAnnotation involves signing up for an account and completing a short assessment. Passing this assessment leads to an email confirmation, after which paid work becomes available on their platform.
- What are the typical hourly rates for a Full Stack QA Engineer - AI Trainer at DataAnnotation?
- Hourly rates for a Full Stack QA Engineer - AI Trainer at DataAnnotation typically start at $50-$100+/hr, with potential for higher rates on specific projects.
- What programming languages are preferred for the Full Stack QA Engineer - AI Trainer role at DataAnnotation?
- While preferred experience is in Kotlin, proficiency in JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift is required for the Full Stack QA Engineer - AI Trainer role at DataAnnotation.
- Is this a Full Stack QA Engineer - AI Trainer role at DataAnnotation remote?
- Yes, the Full Stack QA Engineer - AI Trainer role at DataAnnotation is a remote position, allowing you to work from your own home on your own schedule.
- What is the geographic eligibility for the Full Stack QA Engineer - AI Trainer position at DataAnnotation?
- The Full Stack QA Engineer - AI Trainer position at DataAnnotation is available only to individuals located in the US, Canada, UK, Ireland, Australia, and New Zealand.
- Does DataAnnotation require payment to start working as a Full Stack QA Engineer - AI Trainer?
- No, DataAnnotation will never ask for money. Payment for work as a Full Stack QA Engineer - AI Trainer is made via PayPal after you complete the assessment and are approved.
- What kind of projects can a Full Stack QA Engineer - AI Trainer expect at DataAnnotation?
- As a Full Stack QA Engineer - AI Trainer, you can expect to design and solve coding problems for AI training, focusing on Android development, write code snippets, and evaluate AI-generated code.
- What qualifications are essential for the Full Stack QA Engineer - AI Trainer role at DataAnnotation?
- Essential qualifications for the Full Stack QA Engineer - AI Trainer role include fluency in English, excellent writing and grammar skills, and a bachelor’s degree (completed or in progress). Experience as a Software Developer is preferred.