Manual QA Engineer - AI Trainer
DataAnnotation · Florida, United States
- Hybrid
- Full-time
- $75,000 / year
- Florida, United States
Job highlights
- Train AI models by solving coding problems.
- Work remotely on your own schedule.
- Earn $50-$100+/hr, paid via PayPal.
- Requires English fluency and coding skills.
- Contribute to the next generation of AI.
About the role
Manual QA Engineer - AI Trainer
We are looking for an existing Manual QA Engineer - AI Trainer to help advance AI development. As a member of DataAnnotation’s coding team, you’ll be part of a growing community of over 100,000 professionals — including front-end, back-end, full-stack, machine learning, and other engineers — who are driving real-world impact in AI development.
Our platform offers an engaging blend of flexibility and challenge: you’ll work closely with state-of-the-art AI models to take on programming tasks that include creating and solving challenging coding problems, building beautiful apps with rich functionality, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve. Some team members fit this work alongside a full-time role, while others treat it as their primary focus, choosing projects and schedules that align with their availability and goals.
Getting Started
To get started, once you sign up for an account, you'll take a short assessment (this serves as our version of an interview). If you pass that assessment, you’ll receive an email confirmation, and paid work will become available to you through our platform.
Advantages Of Contracting With Us
- You'll be able to choose which projects you want to work on and when.
- You work on your own schedule, on your own computer, from the comfort of your own home.
- Projects are paid hourly starting at $50-$100+/hr, with higher rates available for certain projects.
Responsibilities
- Design and solve diverse coding problems used to train AI systems with an emphasis on Android development.
- Write clear, high-quality code snippets and detailed explanations.
- Evaluate AI-generated code for accuracy, performance, and clarity.
- Provide feedback that directly shapes the next generation of 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 made via PayPal. We will never ask for any money from you. PayPal will handle any currency conversions from USD. This job is only available to those in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located outside of these countries will not see work or assessments available on our site at this time. This is an independent contractor position.
Key skills/competency
- Manual QA
- AI Training
- Android Development
- Kotlin
- Coding Problems
- JavaScript
- TypeScript
- Python
- Code Evaluation
- Software Development
Skills & topics
- Manual QA
- AI Trainer
- AI Development
- Coding Problems
- Android Development
- Kotlin
- JavaScript
- Python
- Software Engineer
- Remote Work
How to get hired
- Apply and assess: Sign up on the DataAnnotation platform and complete the short assessment to qualify for paid work.
- Highlight relevant skills: Emphasize your coding, writing, and AI training experience on your profile.
- Showcase language proficiency: Clearly state your native or bilingual English fluency and any preferred language skills.
- Prepare for coding tasks: Be ready to demonstrate your ability to design and solve diverse coding problems, especially in Android development.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the assessment process for the Manual QA Engineer - AI Trainer role at DataAnnotation?
- The assessment for the Manual QA Engineer - AI Trainer role at DataAnnotation is a short online test taken after signing up on their platform. Passing this assessment is equivalent to an interview and unlocks access to paid work opportunities.
- What are the typical hourly rates for a Manual QA Engineer - AI Trainer at DataAnnotation?
- Hourly rates for this role at DataAnnotation typically start at $50-$100+, with the potential for higher rates on specific projects. Payment is processed via PayPal.
- Is this a remote position for a Manual QA Engineer - AI Trainer?
- Yes, the Manual QA Engineer - AI Trainer position is a remote independent contractor role. You can work from your own computer in the comfort of your home, setting your own schedule.
- What programming languages or frameworks are most important for the Manual QA Engineer - AI Trainer role?
- While Kotlin experience is preferred for the Manual QA Engineer - AI Trainer role, proficiency in languages like JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift is also highly valued. Android development experience is emphasized.
- Can I work as a Manual QA Engineer - AI Trainer at DataAnnotation alongside a full-time job?
- Yes, DataAnnotation's platform offers flexibility. Some contractors fit this work alongside a full-time role, while others make it their primary focus, selecting projects and schedules that match their availability and goals.
- What are the geographic restrictions for the Manual QA Engineer - AI Trainer role?
- This role is exclusively available to individuals located in the US, Canada, UK, Ireland, Australia, and New Zealand. Those outside these regions will not have access to work or assessments.
- Does DataAnnotation charge any fees for Manual QA Engineer - AI Trainer applicants?
- No, DataAnnotation explicitly states they will never ask for money from applicants. All payments are made to contractors via PayPal, and PayPal handles any currency conversions from USD.