Frontend QA Engineer - AI Trainer
DataAnnotation · Colorado, United States
- Hybrid
- Full-time
- $75,000 / year
- Colorado, United States
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Job highlights
- Train AI models by solving coding problems.
- Evaluate AI-generated code for accuracy.
- Work flexibly from home on your schedule.
- Earn $50-$100+ per hour.
- Shape future AI models with feedback.
About the role
Frontend QA Engineer AI Trainer
We are looking for an existing Frontend 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
- Frontend QA
- AI Training
- Android Development
- Kotlin
- JavaScript
- TypeScript
- Python
- C++
- React
- Software Development
Skills & topics
- Frontend QA Engineer
- AI Trainer
- AI Development
- Coding Problems
- Android Development
- Kotlin
- JavaScript
- Software Engineer
- Remote Work
- Contractor
How to get hired
- Ace the assessment: Prepare thoroughly for the initial assessment, as it serves as the interview.
- Showcase your skills: Highlight your proficiency in preferred languages like Kotlin and others like JavaScript.
- Emphasize writing skills: Demonstrate excellent English and grammar for clear code explanations and feedback.
- Highlight relevant experience: Mention any prior experience as a Software Developer, Coder, or Engineer.
- Check eligibility: Ensure you are in the US, Canada, UK, Ireland, Australia, or New Zealand.
Technical preparation
Practice Android development with Kotlin.,Solve diverse coding problems clearly.,Write detailed code explanations.,Review AI-generated code for errors.
Behavioral questions
Describe a challenging coding problem solved.,How do you ensure code quality?,How do you provide constructive feedback?,How do you manage your schedule effectively?
Frequently asked questions
- What is the application process for a Frontend QA Engineer AI Trainer at DataAnnotation?
- To apply for the Frontend QA Engineer AI Trainer role at DataAnnotation, you'll need to sign up for an account and complete a short assessment. Passing this assessment will lead to an email confirmation, after which paid work will become available on their platform.
- What are the key technical skills required for the Frontend QA Engineer AI Trainer position?
- For the Frontend QA Engineer AI Trainer position, preferred technical skills include Kotlin, with proficiency in languages like JavaScript, TypeScript, Python, C++, React, Java, or Swift also being crucial. Experience with Android development is emphasized.
- Can I work as a Frontend QA Engineer AI Trainer for DataAnnotation part-time?
- Yes, the Frontend QA Engineer AI Trainer role at DataAnnotation offers flexibility. You can choose projects and work on your own schedule, fitting it alongside a full-time role or as a primary focus.
- What is the typical pay rate for a Frontend QA Engineer AI Trainer at DataAnnotation?
- The hourly rate for a Frontend QA Engineer AI Trainer at DataAnnotation starts at $50-$100+/hr, with potential for higher rates on certain projects. Payment is processed via PayPal.
- What qualifications are essential to become a Frontend QA Engineer AI Trainer at DataAnnotation?
- Essential qualifications for a Frontend QA Engineer AI Trainer at DataAnnotation include fluency in English, excellent writing and grammar skills, and a bachelor’s degree (completed or in progress). Previous software development experience is preferred.
- Is the Frontend QA Engineer AI Trainer role at DataAnnotation remote?
- Yes, the Frontend QA Engineer AI Trainer role is a remote independent contractor position. You can work from the comfort of your own home on your own computer and schedule.
- What is the geographic eligibility for the Frontend QA Engineer AI Trainer role at DataAnnotation?
- The Frontend QA Engineer AI Trainer position at DataAnnotation is available to individuals located in the US, Canada, UK, Ireland, Australia, and New Zealand. Those outside these regions will not see available work or assessments.