DevOps Engineer - AI Trainer
DataAnnotation · Texas, United States
- Hybrid
- Full-time
- $100,000 / year
- Texas, United States
Job highlights
- Remote DevOps Engineer AI Trainer role available.
- Train AI systems with coding challenges.
- Evaluate and provide feedback on AI code.
- Flexible schedule with competitive hourly pay.
- Contribute to the future of AI technologies.
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 Engineering
- AI Training
- Android Development
- Kotlin
- Programming
- Software Development
- Code Evaluation
- Data Analysis
- Problem Solving
- Remote Work
Skills & topics
- DevOps Engineer
- AI Trainer
- Android Development
- Kotlin
- Programming
- Software Developer
- Remote
- DataAnnotation
- AI Development
- Coding Problems
How to get hired
- Tailor your resume: Highlight programming skills, experience with Kotlin, and other listed languages.
- Ace the assessment: Prepare for the initial coding assessment, your interview equivalent.
- Showcase writing skills: Emphasize clear code snippets and explanation abilities.
- Demonstrate AI interest: Express enthusiasm for shaping future AI models.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the application process for a DevOps Engineer AI Trainer at DataAnnotation?
- The application process for a DevOps Engineer AI Trainer at DataAnnotation involves signing up for an account and completing a short coding assessment. Passing this assessment leads to an email confirmation and access to paid work opportunities on the platform.
- What are the remote work requirements for this role?
- This DevOps Engineer AI Trainer role is fully remote and available to individuals located in the US, Canada, UK, Ireland, Australia, and New Zealand. Work can be done from anywhere within these specified countries.
- What programming languages are most important for the DevOps Engineer AI Trainer position?
- While Kotlin experience is preferred for the DevOps 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 particularly emphasized.
- How is payment handled for the DevOps Engineer AI Trainer role?
- Payment for the DevOps Engineer AI Trainer role is made hourly via PayPal, with rates starting at $50-$100+/hr. PayPal will manage any necessary currency conversions from USD.
- Can I work on projects as a DevOps Engineer AI Trainer alongside a full-time job?
- Yes, the flexible schedule allows team members to fit this work around other commitments. Many choose projects and schedules that align with their availability, whether treating it as a primary focus or a supplementary role.
- What is the expected impact of a DevOps Engineer AI Trainer at DataAnnotation?
- As a DevOps Engineer AI Trainer, your work directly contributes to refining intelligent systems. You will help shape the future of AI technologies by providing feedback that influences the next generation of AI models.
- Is there a degree requirement for the DevOps Engineer AI Trainer position?
- A bachelor’s degree, either completed or in progress, is required for the DevOps Engineer AI Trainer position. Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is also preferred.