Frontend QA Engineer - AI Trainer
DataAnnotation · Washington, United States
- Hybrid
- Full-time
- $100,000 / year
- Washington, United States
Job highlights
- Train AI models with challenging coding problems.
- Develop apps and analyze data.
- Work flexibly from home on your schedule.
- Earn $50-$100+/hr as an independent contractor.
- Provide feedback to shape AI's future.
About the role
Frontend QA Engineer - AI Trainer at DataAnnotation
We are seeking a motivated Frontend QA Engineer - AI Trainer to contribute to the advancement of AI development. As a crucial part of DataAnnotation’s coding team, you will join a dynamic community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, and other engineers, all focused on creating tangible impacts in AI development.
About the Role
Our platform provides a flexible and challenging environment where you will collaborate with cutting-edge AI models. Your responsibilities will involve tackling complex programming tasks such as:
- Creating and resolving difficult coding problems.
- Developing sophisticated applications with rich functionality.
- Synthesizing insights through advanced data analysis and visualization.
Your work is integral to refining intelligent systems that continuously learn, adapt, and evolve. This role offers flexibility, allowing some members to integrate it with a full-time job while others dedicate it as their primary focus, selecting projects and schedules that match their personal and professional objectives.
Getting Started
To begin your journey with us, simply sign up for an account and complete a brief assessment, which serves as our equivalent of an interview. Upon successful completion, you will receive an email confirmation, and paid work opportunities will become available through our platform.
Advantages of Contracting With Us
- Project selection and scheduling flexibility.
- Work on your own schedule, using your own computer, from the comfort of your home.
- Competitive hourly rates ranging from $50-$100+/hr, with potential for higher rates on specific projects.
Responsibilities
- Design and solve diverse coding problems, with a specific emphasis on Android development, to train AI systems.
- Produce clear, high-quality code snippets accompanied by detailed explanations.
- Assess AI-generated code for accuracy, performance, and clarity.
- Deliver critical feedback that influences the development of future AI models.
Qualifications
- Native or bilingual fluency in English.
- Preferred experience with Kotlin.
- Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift.
- Exceptional writing and grammar skills.
- A bachelor’s degree (completed or in progress).
- Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is advantageous.
Note: Payments are processed via PayPal, converting USD as needed. This role is open to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand. We will never ask for payment from you.
Key Skills/Competency
- Frontend QA Engineer
- AI Training
- Android Development
- Kotlin
- JavaScript
- TypeScript
- Python
- Code Evaluation
- Software Development
- Problem Solving
Skills & topics
- Frontend QA Engineer
- AI Trainer
- Android Development
- Kotlin
- JavaScript
- TypeScript
- Python
- React
- Software Development
- Coding
How to get hired
- Ace the assessment: Prepare thoroughly for the initial coding assessment, as it's your primary interview.
- Showcase your skills: Highlight your frontend QA, Android development, and programming language proficiencies on your resume.
- Demonstrate writing ability: Emphasize your excellent English writing and grammar skills in your application materials.
- Highlight relevant experience: Mention any prior software development, coding, or programming roles to strengthen your profile.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the assessment process for the Frontend QA Engineer - AI Trainer role at DataAnnotation?
- The assessment for the Frontend QA Engineer - AI Trainer position at DataAnnotation is designed to evaluate your coding and problem-solving abilities. It serves as the primary method for us to gauge your suitability for the role, replacing a traditional interview. Passing this assessment is the key step to unlocking paid work opportunities on our platform.
- What programming languages are most important for the Frontend QA Engineer - AI Trainer role?
- While Android development and Kotlin experience are preferred for the Frontend QA Engineer - AI Trainer role, proficiency in at least one of the following is required: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Demonstrating skills in these areas will strengthen your application.
- Can I work as a Frontend QA Engineer - AI Trainer at DataAnnotation while employed full-time?
- Yes, the Frontend QA Engineer - AI Trainer role at DataAnnotation offers significant flexibility. Many team members successfully balance this contracting work alongside their full-time positions, choosing projects and setting schedules that align with their availability and goals.
- What is the expected hourly rate for a Frontend QA Engineer - AI Trainer at DataAnnotation?
- As a Frontend QA Engineer - AI Trainer with DataAnnotation, you can expect to earn hourly rates starting from $50 to $100+, with the potential for higher compensation on specific projects. This is an independent contractor position with flexible payment terms.
- What are the geographical requirements for the Frontend QA Engineer - AI Trainer position at DataAnnotation?
- The Frontend QA Engineer - AI Trainer position at DataAnnotation is currently available only to individuals residing in the US, Canada, UK, Ireland, Australia, and New Zealand. If you are located outside of these countries, you may not see assessments or work opportunities on our site.