Automated QA Engineer - AI Trainer
DataAnnotation · Minnesota, United States
- Hybrid
- Full-time
- $75,000 / year
- Minnesota, 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
- Design and solve coding problems for AI.
- Evaluate AI-generated code for accuracy.
- Provide feedback to shape AI models.
- Work flexibly on your own schedule.
- Earn $50-$100+/hr remotely.
About the role
Automated QA Engineer - AI Trainer at DataAnnotation
DataAnnotation is seeking an Automated QA Engineer - AI Trainer to join our growing community of over 100,000 professionals driving real-world impact in AI development. You will work closely with state-of-the-art AI models on programming tasks, including creating and solving coding problems, building applications, and synthesizing insights through data analysis and visualization. Your work will directly contribute to refining intelligent systems.
Why Join DataAnnotation?
- Flexibility: Choose your projects and work on your own schedule.
- Remote Work: Work from the comfort of your home on your own computer.
- High Earning Potential: Paid hourly at $50-$100+/hr, with higher rates for specific projects.
- Impactful Work: Directly contribute to the advancement of AI development.
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 the next generation of AI models.
Qualifications
- Fluency in English (native or bilingual level).
- Preferred experience in Kotlin.
- Proficiency in at least one of: 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.
How to Get Started
Once you sign up, complete a short assessment (our version of an interview). Upon passing, you'll receive an email confirmation, and paid work will become available on our platform.
Key skills/competency
- Automated QA Engineer
- AI Trainer
- Android Development
- Kotlin
- Software Development
- Coding Problems
- AI Models
- Data Analysis
- Code Evaluation
- Programming Languages
Skills & topics
- Automated QA Engineer
- AI Trainer
- AI Development
- Kotlin
- Android Development
- Software Engineer
- Coder
- Python
- JavaScript
- Remote Work
How to get hired
- Complete the assessment: Ace the short assessment to demonstrate your skills for the Automated QA Engineer role.
- Tailor your resume: Highlight your experience in Kotlin, AI training, and relevant programming languages.
- Showcase your writing: Emphasize your English fluency and excellent grammar skills for clear code explanations.
- Prepare for coding challenges: Be ready to design and solve diverse coding problems for AI systems.
Technical preparation
Master Kotlin and Android development basics.,Practice writing clear code explanations.,Solve coding problems in Python or JavaScript.,Review AI code evaluation best practices.
Behavioral questions
How do you ensure code clarity and accuracy?,Describe a challenging coding problem you solved.,How do you provide constructive feedback?,How do you manage your schedule effectively?
Frequently asked questions
- What is the assessment process for the Automated QA Engineer - AI Trainer role at DataAnnotation?
- The assessment is a short online test designed to evaluate your coding and problem-solving skills relevant to AI training. Passing this assessment is the primary step to becoming eligible for paid work on the DataAnnotation platform.
- How does DataAnnotation use the coding problems created by Automated QA Engineers?
- The coding problems you design and solve are used directly to train and refine artificial intelligence models. Your work helps these AI systems learn to understand, generate, and evaluate code more effectively.
- What are the typical programming languages or frameworks expected for this role?
- While Kotlin is preferred, DataAnnotation seeks proficiency in languages like JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift for this Automated QA Engineer position.
- Is this an independent contractor position, and what does that mean for benefits?
- Yes, this is an independent contractor role. This means you have flexibility in choosing projects and your schedule, but you are responsible for your own benefits and taxes. DataAnnotation handles payments via PayPal.
- What is the hourly pay range for an Automated QA Engineer - AI Trainer at DataAnnotation?
- The hourly pay rate for this role starts at $50-$100+, with opportunities for higher rates on specific projects. Payment is processed via PayPal.
- Can I work as an Automated QA Engineer - AI Trainer alongside a full-time job?
- Yes, many professionals choose to fit this work around their existing commitments. You have the flexibility to select projects and set your own schedule to align with your availability and goals.
- What level of English proficiency is required for this AI Trainer role?
- Native or bilingual level fluency in English is required. This includes excellent writing and grammar skills, as you'll be writing detailed explanations and providing feedback on code.
- Which countries are eligible to apply for the Automated QA Engineer - AI Trainer position?
- This role is currently only available to individuals located in the US, Canada, UK, Ireland, Australia, and New Zealand. Candidates outside these regions will not see available work or assessments.