DevOps Engineer - AI Trainer
DataAnnotation · Oregon, United States
- Hybrid
- Full-time
- $100,000 / year
- Oregon, United States
Job highlights
- Remote AI trainer role with flexible schedule.
- Solve coding problems for AI systems.
- Evaluate AI-generated code for accuracy.
- Shape future AI models with feedback.
- Competitive hourly pay $50-$100+.
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.
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
- AI Development
- Programming Tasks
- Coding Problems
- Android Development
- Kotlin
- JavaScript
- Python
- Code Evaluation
- AI Models
Skills & topics
- DevOps Engineer
- AI Trainer
- Remote Work
- Programming
- Android Development
- Kotlin
- JavaScript
- Python
- AI Systems
- Coding Problems
- DataAnnotation
- Software Engineer
- Coder
- Developer
- Flexible Schedule
- Competitive Pay
How to get hired
- Customize your resume: Highlight your programming experience and proficiency in specified languages, especially Kotlin. Tailor it to showcase problem-solving skills and experience with AI systems if applicable.
- Ace the assessment: Prepare thoroughly for the short assessment, as it serves as your interview. Practice coding challenges and review your understanding of programming concepts relevant to AI development.
- Demonstrate language skills: Ensure your resume and application clearly state your English fluency and excellent writing/grammar skills, as these are crucial for providing detailed explanations and feedback.
- Highlight relevant experience: Emphasize any prior experience as a Software Developer, Coder, Software Engineer, or Programmer, and mention your bachelor's degree status.
- Follow instructions carefully: Pay close attention to the eligibility requirements, ensuring you are located in an approved country, and understand the payment process via PayPal.
Technical preparation
Behavioral questions
Frequently asked questions
- How can I apply for the DevOps Engineer AI Trainer role at DataAnnotation?
- To apply for the DevOps Engineer AI Trainer position at DataAnnotation, sign up for an account on their platform and complete the initial assessment. Passing this assessment is the primary step to unlocking paid work opportunities.
- What programming skills are most important for the DevOps Engineer AI Trainer job?
- While Kotlin is preferred, proficiency in languages like JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift is essential for the DevOps Engineer AI Trainer role. Android development experience is also a key focus.
- Is the DevOps Engineer AI Trainer position remote?
- Yes, the DevOps Engineer AI Trainer position is fully remote, offering the flexibility to work from anywhere within the US, Canada, UK, Ireland, Australia, and New Zealand.
- What is the expected pay for a DevOps Engineer AI Trainer at DataAnnotation?
- The pay for the DevOps Engineer AI Trainer role is competitive and project-based, starting at $50-$100+ per hour. Performance can lead to opportunities for higher-paying projects.
- Do I need a degree to become a DevOps Engineer AI Trainer at DataAnnotation?
- A bachelor's degree, completed or in progress, is required for the DevOps Engineer AI Trainer role. Previous software development experience is also preferred.
- What kind of tasks will a DevOps Engineer AI Trainer perform?
- As a DevOps Engineer AI Trainer, you will design and solve coding problems for AI training, write code snippets and explanations, evaluate AI-generated code, and provide feedback to refine AI models.
- Can I work as a DevOps Engineer AI Trainer alongside a full-time job?
- Yes, the role offers a flexible schedule, allowing you to choose projects and work times that align with your availability, making it suitable to complement a full-time role.
- How is payment handled for the DevOps Engineer AI Trainer role?
- Payment for the DevOps Engineer AI Trainer position is made via PayPal. DataAnnotation will never ask for money from you; PayPal handles any currency conversions from USD.