QA Engineer - AI Trainer
DataAnnotation · Oregon, United States
- Hybrid
- Full-time
- $75,000 / year
- Oregon, 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 challenges.
- Work remotely on your own schedule.
- Earn $50-$100+ per hour.
- Provide feedback to shape AI.
- Requires coding and English skills.
About the role
About the Role
DataAnnotation is seeking a QA Engineer - AI Trainer to contribute to the advancement of AI development. You will join a vibrant community of over 100,000 professionals, including various engineering disciplines, who are making a significant impact in AI. This role offers a flexible and challenging environment where you will collaborate with state-of-the-art AI models. Your programming tasks will involve creating and solving complex coding problems, developing applications with robust functionality, and analyzing data to synthesize insights. Your work will directly refine intelligent systems.
This contracting role can accommodate various schedules, fitting alongside a full-time job or serving as a primary focus. We offer flexibility in project selection and work timing, allowing you to align tasks with your availability and career goals.
Getting Started
To begin your journey with DataAnnotation, simply sign up for an account and complete a short assessment, which serves as our primary evaluation method. Upon successful completion and confirmation via email, you will gain access to paid work through our platform.
Advantages of Contracting With DataAnnotation
- Choose your projects and work schedule.
- Enjoy the flexibility of working from home on your own computer.
- Earn competitive hourly rates, starting at $50-$100+/hr, with opportunities for higher rates on specific projects.
Responsibilities
- Design and solve diverse coding problems to train AI systems, with a focus on Android development.
- Write clear, high-quality code snippets and comprehensive explanations.
- Evaluate AI-generated code for accuracy, performance, and clarity.
- Provide crucial feedback to shape future AI model generations.
Qualifications
- Native or bilingual fluency in English.
- Preferred experience with 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
- Payments are processed via PayPal. DataAnnotation will never ask for money; PayPal manages currency conversions from USD.
- This role is exclusively available to individuals in the US, Canada, UK, Ireland, Australia, and New Zealand.
- This is an independent contractor position.
Key Skills/Competency
- QA Engineer
- AI Trainer
- Android Development
- Kotlin
- JavaScript
- TypeScript
- Python
- C++
- Software Development
- Problem Solving
Skills & topics
- QA Engineer
- AI Trainer
- Android Development
- Kotlin
- JavaScript
- Python
- Software Developer
- Coding Problems
- Data Annotation
- Remote Work
How to get hired
- Take the assessment: Complete the short assessment accurately to demonstrate your skills for this QA Engineer AI Trainer role.
- Highlight relevant experience: Tailor your resume to showcase your software development, coding, and English language proficiency.
- Understand the role: Familiarize yourself with AI training and coding problem design for the QA Engineer AI Trainer position.
- Prepare for evaluation: Ensure your English writing and grammar skills are top-notch for the assessment and potential feedback tasks.
- Be in an eligible country: Confirm you are located in the US, Canada, UK, Ireland, Australia, or New Zealand.
Technical preparation
Practice Kotlin and Android development.,Solve diverse coding problems efficiently.,Review code evaluation best practices.,Familiarize with AI model training concepts.
Behavioral questions
How do you ensure code accuracy?,Describe your problem-solving approach.,How do you provide constructive feedback?,How do you manage your schedule effectively?
Frequently asked questions
- What is the application process for a QA Engineer AI Trainer at DataAnnotation?
- The application process for a QA Engineer AI Trainer at DataAnnotation is straightforward. After signing up, you will complete a short assessment. Passing this assessment leads to an email confirmation and access to paid projects on their platform.
- What are the primary responsibilities of a QA Engineer AI Trainer?
- As a QA Engineer AI Trainer, your responsibilities include designing and solving coding problems for AI training, with an emphasis on Android development. You will also write code snippets, evaluate AI-generated code, and provide feedback to improve AI models.
- What programming languages are preferred for the QA Engineer AI Trainer role?
- While Kotlin experience is preferred for the QA Engineer AI Trainer role, proficiency in languages like JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift is also valuable. Experience with Android development is a key focus.
- Can I work as a QA Engineer AI Trainer if I am not in the US?
- No, the QA Engineer AI Trainer position is currently only available to individuals located in the US, Canada, UK, Ireland, Australia, and New Zealand. If you are outside these regions, you will not see assessments or work available.
- What is the expected pay for a QA Engineer AI Trainer at DataAnnotation?
- The hourly rate for a QA Engineer AI Trainer at DataAnnotation starts at $50-$100+/hr. Higher rates may be available for specific, more complex projects. Payments are made via PayPal.
- Is the QA Engineer AI Trainer role a full-time or part-time position?
- The QA Engineer AI Trainer role is an independent contractor position. This offers flexibility, allowing you to choose projects and schedules that fit your availability, whether alongside a full-time job or as a primary focus.
- What qualifications are needed to become a QA Engineer AI Trainer?
- To become a QA Engineer AI Trainer, you need fluency in English, a bachelor's degree (or in progress), and strong writing skills. Proficiency in programming languages like Kotlin, JavaScript, Python, or C++ is preferred, along with prior software development experience.