DevOps Engineer - AI Trainer
DataAnnotation · Tennessee, United States
- Hybrid
- Full-time
- $100,000 / year
- Tennessee, United States
Job highlights
- Remote AI training role for programmers.
- Flexible schedule with competitive pay.
- Shape future AI technologies directly.
- Solve coding problems for AI systems.
- Evaluate and improve AI-generated code.
About the role
DevOps Engineer AI Trainer at DataAnnotation
Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. We are looking for proficient programmers 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.
How to Get 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.
Benefits
- Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
- Flexible schedule: choose which projects you take on and when you work.
- Competitive pay: projects are paid hourly, starting at $50-$100+/hr. Opportunities for higher-paying projects are available with strong performance.
- Impact: help shape the future of AI technologies.
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 other 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.
Note: 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.
Key skills/competency
- DevOps Engineer
- AI Trainer
- Android Development
- Kotlin
- JavaScript
- Python
- Software Development
- Problem Solving
- Data Analysis
- AI Systems
Skills & topics
- DevOps Engineer
- AI Trainer
- Programmer
- Coding
- AI Development
- Android Development
- Kotlin
- Python
- JavaScript
- Remote Work
How to get hired
- Tailor your application: Highlight your programming skills, particularly Kotlin or other listed languages, and any Android development experience.
- Ace the assessment: Prepare for the initial coding assessment, as it serves as the primary interview.
- Showcase clear communication: Emphasize your excellent writing and grammar skills for clear code snippets and explanations.
- Verify your location: Ensure you are applying from a supported country (US, Canada, UK, Ireland, Australia, NZ).
Technical preparation
Behavioral questions
Frequently asked questions
- What is the application process for the DevOps Engineer AI Trainer role at DataAnnotation?
- The application process for the DevOps Engineer AI Trainer role at DataAnnotation begins with signing up for an account and completing a short coding assessment. Passing this assessment unlocks access to paid work on the platform.
- What programming languages are required for the DevOps Engineer AI Trainer position?
- While Kotlin experience is preferred for the DevOps Engineer AI Trainer role, proficiency in at least one of the following is required: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift.
- Is the DevOps Engineer AI Trainer position fully remote?
- Yes, the DevOps Engineer AI Trainer position is fully remote, allowing you to work from anywhere within the US, Canada, UK, Ireland, Australia, and New Zealand.
- What is the typical pay for a DevOps Engineer AI Trainer at DataAnnotation?
- The pay for DevOps Engineer AI Trainer projects is hourly, starting at $50-$100+/hr. Higher rates are available for strong performance.
- Does DataAnnotation hire for DevOps Engineer AI Trainer roles outside of specific countries?
- No, the DevOps Engineer AI Trainer role is currently only available to individuals located in the US, Canada, UK, Ireland, Australia, and New Zealand. Those outside these regions will not see work or assessments.
- What kind of work does a DevOps Engineer AI Trainer do at DataAnnotation?
- As a DevOps Engineer AI Trainer, you will design and solve coding problems, write code snippets and explanations, evaluate AI-generated code, and provide feedback to improve AI models, with an emphasis on Android development.
- What qualifications are needed for the DevOps Engineer AI Trainer role?
- Key qualifications for the DevOps Engineer AI Trainer role include fluency in English, preferred Kotlin experience, proficiency in other listed programming languages, strong writing skills, and a bachelor's degree (completed or in progress). Previous software development experience is preferred.