Contract QA Engineer - AI Trainer
DataAnnotation · New York, United States
- Hybrid
- Contract
- $100,000 / year
- New York, 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 diverse coding problems.
- Evaluate AI-generated code for accuracy.
- Provide feedback to shape AI models.
- Flexible schedule and location, work from home.
- Earn $50-$100+/hr based on project.
About the role
Contract QA Engineer AI Trainer
DataAnnotation is seeking a Contract QA Engineer - AI Trainer to contribute to AI development. You will join a large community of over 100,000 professionals, including various engineers, who are making a significant impact in AI development.
Our platform provides a flexible and challenging environment where you will collaborate with advanced AI models on programming tasks. These tasks include creating and solving complex coding problems, developing functional applications, and analyzing data to synthesize insights. Your work is crucial for refining intelligent systems.
This role can be a primary focus or a supplementary role alongside a full-time position, allowing you to manage projects and schedules according to your availability and objectives.
How to Get Started
To begin, sign up for an account and complete a brief assessment. Upon passing the assessment, you will receive an email confirmation, and paid work will be accessible through our platform.
Advantages Of Contracting With Us
- Project selection flexibility: Choose which projects align with your interests and skills.
- Flexible schedule: Work on your own time, from your own computer, at home.
- Competitive pay: Hourly rates starting at $50-$100+, with potential for higher rates on specific projects.
Responsibilities
- Design and solve diverse coding problems for AI training, with a focus on Android development.
- Produce clear, high-quality code snippets and detailed explanations.
- Assess AI-generated code for accuracy, performance, and clarity.
- Offer feedback to directly influence the evolution of AI models.
Qualifications
- Fluency in English (native or bilingual).
- 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:
- Payment is processed via PayPal. We will never ask for money from you.
- This position is available only 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
- JavaScript
- Python
- Code Evaluation
- Data Analysis
- Software Development
- Problem Solving
Skills & topics
- QA Engineer
- AI Trainer
- Contract
- Remote
- Android Development
- Kotlin
- JavaScript
- Python
- Software Developer
- Coding Problems
How to get hired
- Customize your resume: Highlight relevant programming languages and QA experience.
- Ace the assessment: Prepare for the coding challenge to demonstrate your skills.
- Understand the role: Focus on AI training and code evaluation responsibilities.
- Review eligibility: Ensure you meet the country and experience requirements.
Technical preparation
Master Kotlin and other listed languages.,Practice solving diverse coding challenges.,Review Android development principles.,Familiarize with AI model training concepts.
Behavioral questions
Describe a complex coding problem you solved.,How do you ensure code quality and accuracy?,How do you provide constructive feedback?,How do you manage your time for flexible work?
Frequently asked questions
- How do I apply for the Contract QA Engineer - AI Trainer role at DataAnnotation?
- To apply for the Contract QA Engineer - AI Trainer position at DataAnnotation, you need to sign up for an account on their platform and successfully complete a short assessment. Passing this assessment will lead to an email confirmation, after which you can access paid work through their system.
- What are the typical responsibilities of a Contract QA Engineer - AI Trainer at DataAnnotation?
- As a Contract QA Engineer - AI Trainer at DataAnnotation, your responsibilities will include designing and solving coding problems for AI training, particularly in 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 position?
- While proficiency in at least one of several languages like JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift is required, preferred experience is in Kotlin for the Contract QA Engineer - AI Trainer role at DataAnnotation.
- What is the compensation for a Contract QA Engineer - AI Trainer at DataAnnotation?
- Contract QA Engineers - AI Trainers at DataAnnotation are paid hourly, with rates starting at $50-$100+ per hour. Higher rates may be available for specific projects. Payment is made via PayPal.
- Can I work as a Contract QA Engineer - AI Trainer remotely?
- Yes, the Contract QA Engineer - AI Trainer position at DataAnnotation is a remote role. You can work from the comfort of your own home on your own schedule, using your own computer.
- What are the eligibility requirements for the Contract QA Engineer - AI Trainer job?
- To be eligible for the Contract QA Engineer - AI Trainer role, you must be fluent in English, have a bachelor's degree (or be in progress), and reside in the US, Canada, UK, Ireland, Australia, or New Zealand. Previous software development experience is preferred.
- Is this a full-time or part-time position?
- The Contract QA Engineer - AI Trainer role at DataAnnotation is an independent contractor position, offering flexibility. You can choose projects and schedules that fit your availability, making it suitable for supplementing a full-time role or as a primary focus.