QA Engineer - AI Trainer
DataAnnotation · Texas, United States
- Hybrid
- Full-time
- $75,000 / year
- Texas, United States
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Job highlights
- Train AI models by solving coding problems.
- Focus on Android development tasks.
- Evaluate and provide feedback on AI code.
- Flexible schedule, work from home.
- Earn $50-$100+/hr as a contractor.
About the role
QA Engineer AI Trainer at DataAnnotation
DataAnnotation is seeking a dedicated QA Engineer - AI Trainer to contribute to the advancement of AI development. You will join a dynamic community of over 100,000 professionals, including various engineering disciplines, who are making a significant impact in the AI field.
Our platform offers a flexible and challenging environment where you will 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.
This role can be a primary focus or a complementary role alongside a full-time position, allowing you to tailor your schedule and project selection to your goals and availability.
Getting Started
To begin, sign up for an account and complete a brief assessment, which serves as our interview process. Upon successful completion, you will receive an email confirmation, and paid work will be accessible through our platform.
Advantages Of Contracting With Us
- Choose your projects and working hours.
- Work on your own schedule, from home, using 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 for AI training, with a focus on Android development.
- Write clear, high-quality code snippets and detailed explanations.
- Evaluate AI-generated code for accuracy, performance, and clarity.
- Provide feedback to directly influence the development of future AI models.
Qualifications
- Fluency in English (native or bilingual level).
- Preferred experience in Kotlin.
- Proficiency in at least one of the following programming languages or frameworks: 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. DataAnnotation will never ask for money. PayPal handles currency conversions from USD.
- This opportunity is available only 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
- Programming Languages
- Coding Problems
- Code Evaluation
- AI Models
- Software Development
- Independent Contractor
Skills & topics
- QA Engineer
- AI Trainer
- AI Development
- Coding
- Android Development
- Kotlin
- JavaScript
- Python
- Software Engineering
- Contractor
How to get hired
- Complete the assessment: Ace the coding assessment to demonstrate your skills.
- Prepare your resume: Highlight relevant programming experience and AI training exposure.
- Review language requirements: Ensure you meet English fluency and preferred Kotlin/other language proficiencies.
- Understand the role: Be ready to discuss your approach to evaluating code and providing feedback.
- Check eligibility: Confirm you are in a supported country (US, CA, UK, IE, AU, NZ).
Technical preparation
Master Kotlin and other preferred languages.,Practice solving diverse coding problems.,Understand Android development principles.,Prepare to evaluate code quality.
Behavioral questions
Describe your experience with code evaluation.,How do you provide constructive feedback?,Discuss your approach to learning new tech.,How do you manage your work schedule?
Frequently asked questions
- How do I apply for the QA Engineer - AI Trainer role at DataAnnotation?
- To apply for the QA Engineer - AI Trainer position at DataAnnotation, you need to sign up for an account on their platform and complete a short coding assessment. Passing this assessment is equivalent to an interview, and upon successful completion, you will receive a confirmation email and access to paid work.
- What are the typical responsibilities of a QA Engineer - AI Trainer at DataAnnotation?
- As a QA Engineer - AI Trainer, you will design and solve coding problems to train AI systems, with an emphasis on Android development. You will write code snippets, provide detailed explanations, evaluate AI-generated code for accuracy and performance, and offer feedback to shape future AI models.
- What programming languages are preferred for the QA Engineer - AI Trainer role?
- While proficiency in Kotlin is preferred, DataAnnotation also requires proficiency in at least one of the following: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Demonstrating skills in these areas is key for the role.
- Is the QA Engineer - AI Trainer position a full-time or part-time role?
- The QA Engineer - AI Trainer position at DataAnnotation is an independent contractor role. This means you can choose your projects and work on your own schedule, fitting it alongside a full-time job or as your primary focus.
- What are the potential earnings for a QA Engineer - AI Trainer at DataAnnotation?
- The hourly rate for projects starts between $50-$100+/hr. Higher rates may be available for certain projects. Payments are made via PayPal, and currency conversions from USD are handled by PayPal.
- What are the geographical requirements for the QA Engineer - AI Trainer job?
- This independent contractor position is exclusively available to individuals residing in the US, Canada, UK, Ireland, Australia, and New Zealand. Applicants from outside these countries will not see available work or assessments.
- What qualifications are essential for the QA Engineer - AI Trainer role?
- Essential qualifications include fluency in English (native or bilingual), excellent writing and grammar skills, and a bachelor's degree (completed or in progress). Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.