QA Engineer - AI Trainer
DataAnnotation · California, United States
- Hybrid
- Full-time
- $75,000 / year
- California, United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Train AI models by solving coding problems.
- Evaluate and provide feedback on AI-generated code.
- Work flexibly on your own schedule.
- Earn $50-$100+ per hour.
- Remote contract role for US/Canada/UK/IE/AU/NZ.
About the role
QA Engineer AI Trainer
DataAnnotation is seeking a motivated QA Engineer - AI Trainer to contribute to the advancement of AI development. You will join a dynamic community of over 100,000 professionals engaged in AI development, including front-end, back-end, full-stack, and machine learning engineers.
About the Role
This platform provides a flexible and engaging opportunity to work with state-of-the-art AI models. Your responsibilities will involve creating and solving complex coding problems, developing applications with rich functionality, and analyzing data to synthesize insights. Your contributions will directly improve intelligent systems that learn and adapt.
This role can be a primary focus or a supplementary role alongside a full-time position, allowing you to align projects and schedules with your personal goals and availability.
Getting Started
To begin, sign up for an account and complete a short assessment. Passing this assessment will lead to an email confirmation, unlocking paid work opportunities on our platform.
Advantages Of Contracting With DataAnnotation
- Choose your projects and work on your own schedule.
- Work remotely from your home computer.
- Earn competitive hourly rates ($50-$100+/hr), with potential for higher rates on specific projects.
Responsibilities
- Design and solve diverse coding problems for AI training, focusing on Android development.
- Write clear, high-quality code snippets and detailed explanations.
- Evaluate AI-generated code for accuracy, performance, and clarity.
- Provide feedback to shape future AI models.
Qualifications
- Fluency in English (native or bilingual level).
- Preferred experience in Kotlin.
- Proficiency in at least one of the following: 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 processed via PayPal (conversions from USD handled by PayPal). This role is available to residents of the US, Canada, UK, Ireland, Australia, and New Zealand. This is an independent contractor position.
Key skills/competency
- AI Training
- QA Engineering
- Android Development
- Kotlin
- Python
- JavaScript
- Coding Problem Design
- Code Evaluation
- Software Development
- Data Analysis
Skills & topics
- QA Engineer
- AI Trainer
- AI Development
- Software Engineer
- Coder
- Programmer
- Kotlin
- Python
- JavaScript
- Android Development
How to get hired
- Prepare your resume: Highlight any software development, coding, or AI-related experience, including academic projects and technical proficiency in languages like Kotlin, Python, or JavaScript.
- Ace the assessment: Treat the initial assessment as your interview; demonstrate strong coding skills and clear explanations, especially in Android development if applicable.
- Showcase language skills: Emphasize your native or bilingual English fluency and excellent writing/grammar in your application and assessment responses.
- Understand the role: Familiarize yourself with evaluating code accuracy and performance, as this is crucial for shaping AI models.
Technical preparation
Practice Kotlin and preferred programming languages.,Design and solve diverse coding problems.,Familiarize yourself with Android development specifics.,Review code evaluation techniques for accuracy.
Behavioral questions
Describe your experience with code quality evaluation.,How do you ensure clarity in written explanations?,How do you manage your schedule effectively?,What motivates you to train AI models?
Frequently asked questions
- What is the assessment process for a QA Engineer AI Trainer at DataAnnotation?
- The assessment for the QA Engineer AI Trainer role at DataAnnotation is their primary method of evaluation, serving as their version of an interview. You will take a short assessment after signing up for an account. Passing this assessment is required to receive work opportunities.
- What programming languages are most relevant for the QA Engineer AI Trainer role at DataAnnotation?
- While fluency in English and strong writing skills are paramount, proficiency in Kotlin is preferred for the QA Engineer AI Trainer role. Additionally, experience with languages or frameworks such as JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift is highly valued.
- Can I work as a QA Engineer AI Trainer at DataAnnotation alongside a full-time job?
- Yes, DataAnnotation's platform is designed for flexibility. Many team members fit this work alongside a full-time role, choosing projects and schedules that align with their availability and goals. You can select which projects to work on and when.
- What is the typical pay for a QA Engineer AI Trainer at DataAnnotation?
- Projects for QA Engineer AI Trainers are paid hourly, starting at $50-$100+/hr. Higher rates may be available for certain specialized projects, offering a competitive income potential for contractors.
- Is the QA Engineer AI Trainer position at DataAnnotation remote?
- Yes, this is a remote independent contractor position. You can work from the comfort of your own home on your own computer, offering significant flexibility in terms of location.
- What are the geographic restrictions for applying to the QA Engineer AI Trainer role at DataAnnotation?
- The QA Engineer AI Trainer role at DataAnnotation is currently only 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.
- What qualifications are essential for the QA Engineer AI Trainer role at DataAnnotation?
- Essential qualifications include native or bilingual level English fluency, excellent writing and grammar skills, and a bachelor’s degree (completed or in progress). Preferred qualifications include experience in Kotlin and previous roles like Software Developer or Software Engineer.