AI-Assisted QA Engineer - AI Trainer
DataAnnotation · Michigan, United States
- Hybrid
- Full-time
- $100,000 / year
- Michigan, 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 with coding tasks.
- Focus on Android and Kotlin development.
- Evaluate AI-generated code quality.
- Flexible, remote work with high pay.
- Contribute to next-gen AI models.
About the role
AI-Assisted QA Engineer - AI Trainer at DataAnnotation
DataAnnotation is seeking an AI-Assisted QA Engineer - AI Trainer to contribute to the advancement of AI development. You will join a large community of over 100,000 professionals, including various engineering disciplines, who are making a significant impact in the AI field.
About the Role
This role offers a flexible and challenging opportunity to work with cutting-edge AI models. Your responsibilities will include creating and solving complex coding problems, developing applications with advanced functionality, and analyzing data to synthesize insights. Your work is crucial in refining intelligent systems that learn and evolve. This position can be a primary focus or a supplementary role alongside a full-time job, allowing you to select projects and set your own schedule.
Getting Started
To begin, sign up for an account and complete a short assessment, which serves as our interview process. Upon passing, you will receive an email confirmation, and paid work will be accessible through our platform.
Advantages Of Contracting With DataAnnotation
- Choose your projects and working hours.
- Work on your own schedule, from home, using your own computer.
- Earn competitive hourly rates ranging from $50-$100+/hr, with potential for higher rates on specific projects.
Responsibilities
- Design and solve diverse coding problems for AI training, with a focus on Android development.
- Create clear, high-quality code snippets and detailed explanations.
- Evaluate AI-generated code for accuracy, performance, and clarity.
- Provide feedback that directly influences the development of future AI models.
Qualifications
- Native or bilingual fluency in English.
- 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
- Payments are processed via PayPal, converting from USD. We will never ask for payment from you.
- This opportunity is available to residents of the US, Canada, UK, Ireland, Australia, and New Zealand only.
- This is an independent contractor position.
Key skills/competency
- AI Training
- QA Engineering
- Android Development
- Kotlin
- JavaScript
- Python
- Coding Problems
- AI Models
- Data Analysis
- Software Development
Skills & topics
- AI Trainer
- QA Engineer
- AI Development
- Kotlin
- Android Development
- Software Engineer
- Coder
- Programmer
- Remote Work
- DataAnnotation
How to get hired
- Complete the assessment: Focus on demonstrating your coding skills and English proficiency.
- Tailor your resume: Highlight relevant programming languages, software development experience, and QA work.
- Showcase your coding ability: Prepare to solve challenging coding problems, emphasizing Android and Kotlin if applicable.
- Review AI concepts: Familiarize yourself with AI model training and code evaluation principles.
- Check eligibility: Ensure you meet the country and degree requirements for this role.
Technical preparation
Master Kotlin and Android development.,Practice coding challenging problems.,Review AI model training principles.,Sharpen English writing and grammar.
Behavioral questions
How do you ensure code quality?,Describe your problem-solving approach.,How do you provide constructive feedback?,How do you manage your schedule effectively?
Frequently asked questions
- How can I apply for the AI-Assisted QA Engineer - AI Trainer role at DataAnnotation?
- To apply for the AI-Assisted QA Engineer - AI Trainer position at DataAnnotation, you need to sign up on their platform and complete a short assessment. Passing this assessment is equivalent to an interview and unlocks paid work opportunities.
- What are the specific technical skills required for the AI-Assisted QA Engineer - AI Trainer job?
- The AI-Assisted QA Engineer - AI Trainer role requires fluency in English and excellent writing skills. Proficiency in Kotlin is preferred, along with experience in languages like JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Experience in Android development is also a focus.
- Is the AI-Assisted QA Engineer - AI Trainer position at DataAnnotation remote?
- Yes, the AI-Assisted QA Engineer - AI Trainer position at DataAnnotation is a remote, independent contractor role. You can work from the comfort of your own home on your own schedule.
- What is the expected pay for an AI-Assisted QA Engineer - AI Trainer at DataAnnotation?
- The AI-Assisted QA Engineer - AI Trainer role at DataAnnotation offers hourly rates starting from $50-$100+/hr, with the potential for higher rates on specific projects. Payments are processed via PayPal.
- Does DataAnnotation require a degree for the AI-Assisted QA Engineer - AI Trainer position?
- Yes, a bachelor’s degree, either completed or in progress, is required for the AI-Assisted QA Engineer - AI Trainer position at DataAnnotation. Previous software development experience is also preferred.
- What programming languages are most relevant for the AI-Assisted QA Engineer - AI Trainer role?
- While Kotlin is preferred, the AI-Assisted QA Engineer - AI Trainer role requires proficiency in at least one of the following: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Emphasis is placed on Android development.
- How does the interview process work for the AI-Assisted QA Engineer - AI Trainer role at DataAnnotation?
- DataAnnotation's interview process for the AI-Assisted QA Engineer - AI Trainer role involves a short assessment that you complete after signing up on their platform. Passing this assessment grants access to paid work.