DevOps & SDLC Engineer - AI Trainer
DataAnnotation · Arizona, United States
- Hybrid
- Full-time
- $75,000 / year
- Arizona, United States
Job highlights
- Remote AI training role for proficient programmers.
- Design and solve coding problems for AI systems.
- Evaluate and provide feedback on AI-generated code.
- Flexible schedule with competitive hourly pay ($50-$100+).
- Contribute to shaping future AI technologies.
About the role
About the Role
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.
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 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
- SDLC
- AI Training
- Android Development
- Kotlin
- Python
- JavaScript
- Software Development
- Programming
- Code Evaluation
Skills & topics
- DevOps
- SDLC
- AI Trainer
- AI Development
- Software Engineer
- Programmer
- Android Development
- Kotlin
- Python
- Remote Work
How to get hired
- Take the assessment: Successfully pass the initial coding assessment to begin earning paid work on the platform.
- Tailor your resume: Highlight your programming skills, SDLC experience, and any experience with Kotlin or other listed languages.
- Showcase problem-solving: Emphasize your ability to design and solve complex coding problems, particularly for AI training.
- Demonstrate communication: Provide clear, detailed explanations in your code and writing samples.
- Verify location: Ensure you are located in the US, Canada, UK, Ireland, Australia, or New Zealand.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the application process for the DevOps & SDLC Engineer - AI Trainer role at DataAnnotation?
- The application process for the DevOps & SDLC Engineer - AI Trainer position at DataAnnotation involves signing up for an account and completing a short assessment. Passing this assessment is equivalent to an interview and unlocks access to paid work on their platform.
- What programming languages are required for the AI Trainer job at DataAnnotation?
- While experience in Kotlin is preferred for the AI Trainer role at DataAnnotation, proficiency in at least one of the following is required: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Fluency in English is also essential.
- What are the benefits of working as an AI Trainer at DataAnnotation?
- As an AI Trainer at DataAnnotation, you'll enjoy a fully remote work arrangement, a flexible schedule allowing you to choose projects and working times, and competitive hourly pay ranging from $50-$100+. You'll also have the opportunity to impact the future of AI technologies.
- Is there a specific location requirement for the DevOps & SDLC Engineer - AI Trainer role?
- Yes, the DevOps & SDLC Engineer - AI Trainer position at DataAnnotation is only available to individuals located in the US, Canada, UK, Ireland, Australia, and New Zealand. Work and assessments will not be visible to those outside these regions.
- How is payment handled for AI Trainers at DataAnnotation?
- Payment for AI Trainers at DataAnnotation is processed via PayPal, with USD as the base currency. PayPal handles any necessary currency conversions. DataAnnotation will never ask for payment from applicants.
- What kind of work will I be doing as an AI Trainer at DataAnnotation?
- As an AI Trainer, you will design and solve coding problems to train AI systems, with an emphasis on Android development. You'll write code snippets, provide detailed explanations, evaluate AI-generated code, and offer feedback to improve AI models.
- Can I do this job alongside a full-time role?
- Yes, the flexible nature of the AI Trainer role at DataAnnotation allows many team members to fit this work around a full-time job. Others use it as their primary focus, aligning projects and schedules with their personal availability and goals.