DevOps & SDLC Engineer - AI Trainer
DataAnnotation · Utah, United States
- Hybrid
- Full-time
- $100,000 / year
- Utah, United States
Job highlights
- Remote AI trainer role with flexible hours.
- Train AI systems by solving coding problems.
- Evaluate and refine AI-generated code.
- Contribute to next-generation AI models.
- Competitive hourly pay ($50-$100+/hr).
About the role
DevOps & SDLC 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.
Key skills/competency
- DevOps
- SDLC
- AI Training
- Software Development
- Android Development
- Kotlin
- Python
- JavaScript
- Code Evaluation
- AI Models
Skills & topics
- DevOps Engineer
- SDLC Engineer
- AI Trainer
- Software Developer
- Programmer
- Android Development
- Kotlin
- Python
- JavaScript
- Remote Work
How to get hired
- Tailor your application: Highlight your programming proficiency and any experience with Kotlin, JavaScript, Python, or C++.
- Ace the assessment: Treat the initial coding assessment as a crucial interview, demonstrating your problem-solving skills.
- Showcase your writing: Emphasize your excellent English grammar and ability to write clear code explanations.
- Understand the role: Familiarize yourself with AI training, SDLC concepts, and Android development to align with job responsibilities.
Technical preparation
Behavioral questions
Frequently asked questions
- How does the application process work for the DevOps & SDLC Engineer - AI Trainer role at DataAnnotation?
- The application process for the DevOps & SDLC Engineer - AI Trainer role at DataAnnotation begins with signing up for an account on their platform. After signing up, you will need to complete a short assessment, which serves as their equivalent of an interview. Passing this assessment will lead to an email confirmation, and then paid work opportunities will become available to you through their platform.
- What programming languages are most important for the DevOps & SDLC Engineer - AI Trainer position?
- While Kotlin experience is preferred for the DevOps & SDLC Engineer - AI Trainer position, proficiency in at least one of the following is required: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Demonstrating expertise in any of these languages will strengthen your application.
- Can I work as a DevOps & SDLC Engineer - AI Trainer at DataAnnotation alongside a full-time job?
- Yes, many team members at DataAnnotation fit this work alongside a full-time role. The platform offers a flexible schedule, allowing you to choose which projects you take on and when you work, making it adaptable to your availability and goals.
- What is the pay rate for a DevOps & SDLC Engineer - AI Trainer at DataAnnotation?
- The pay for the DevOps & SDLC Engineer - AI Trainer role at DataAnnotation is competitive and paid hourly. Starting rates range from $50-$100+ per hour, with opportunities for higher-paying projects available based on strong performance.
- What kind of impact does a DevOps & SDLC Engineer - AI Trainer have at DataAnnotation?
- As a DevOps & SDLC Engineer - AI Trainer, you will have a significant impact by helping to shape the future of AI technologies. Your work in designing and solving coding problems, evaluating AI-generated code, and providing feedback directly influences the refinement and evolution of intelligent systems.
- Is there any cost to apply or start working as an AI Trainer at DataAnnotation?
- No, there is absolutely no cost to apply or start working as an AI Trainer at DataAnnotation. They clearly state that they will never ask for money from you. Payments are handled securely via PayPal.
- What are the geographic restrictions for the DevOps & SDLC Engineer - AI Trainer role?
- The DevOps & SDLC Engineer - AI Trainer role is available only to individuals located in the US, Canada, UK, Ireland, Australia, and New Zealand. If you are outside of these countries, you will not be able to see work or assessments on their site.