DevOps & SDLC Engineer - AI Trainer
DataAnnotation · Colorado, United States
- Hybrid
- Full-time
- $75,000 / year
- Colorado, United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Remote AI trainer role available.
- Set your own schedule and projects.
- Competitive hourly pay $50-$100+.
- Shape the future of AI technologies.
- Requires programming and writing skills.
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. 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 Trainer, Programming, Android Development, Kotlin, JavaScript, Python, C++, Software Engineer, Software Developer, AI Systems, AI Models, Code Evaluation, Code Generation, Feedback, AI Development, Data Annotation.Skills & topics
- DevOps
- SDLC Engineer
- AI Trainer
- Programming
- Android Development
- Kotlin
- JavaScript
- Python
- Software Engineer
- AI Systems
How to get hired
- Take the assessment: Successfully pass the initial coding assessment to unlock paid work opportunities.
- Tailor your resume: Highlight relevant programming experience, preferred languages like Kotlin, and strong writing skills.
- Understand the role: Focus on your ability to design and solve coding problems for AI training.
- Prepare for evaluation: Be ready to demonstrate proficiency in code quality, accuracy, and clarity.
Technical preparation
Master Kotlin and other preferred languages.,Practice Android development coding problems.,Build diverse, high-quality code snippets.,Analyze code for accuracy and performance.
Behavioral questions
How do you write clear, detailed explanations?,Describe a complex coding problem you solved.,How do you provide constructive feedback?,How do you ensure code accuracy and performance?
Frequently asked questions
- What is the application process for a DevOps & SDLC Engineer AI Trainer at DataAnnotation?
- The application process for a DevOps & SDLC Engineer AI Trainer at DataAnnotation begins with signing up for an account on their platform. You will then take a short coding assessment, which serves as the primary screening method. Upon passing this assessment, you will receive an email confirmation and gain access to paid work opportunities.
- What programming languages are most important for the DevOps & SDLC Engineer AI Trainer role at DataAnnotation?
- While proficiency in Kotlin is preferred for the DevOps & SDLC Engineer AI Trainer role at DataAnnotation, you must also be proficient in at least one of the following: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Demonstrating skills in these areas will be crucial for your application.
- Can I work as a DevOps & SDLC Engineer AI Trainer at DataAnnotation while holding a full-time job?
- Yes, the DevOps & SDLC Engineer AI Trainer role at DataAnnotation offers significant flexibility. Many team members fit this work alongside a full-time role, as you can choose which projects to take on and when you work, aligning with your availability and goals.
- What kind of compensation can I expect as a DevOps & SDLC Engineer AI Trainer at DataAnnotation?
- As a DevOps & SDLC Engineer AI Trainer at DataAnnotation, projects are paid hourly, starting at $50-$100+. Strong performance can lead to opportunities for higher-paying projects, offering competitive compensation for your contributions to AI development.
- What are the location requirements for the DevOps & SDLC Engineer AI Trainer position at DataAnnotation?
- The DevOps & SDLC Engineer AI Trainer position at DataAnnotation is fully remote and available to individuals located in the US, Canada, UK, Ireland, Australia, and New Zealand. Work and assessments will only be visible to those residing in these specified countries.
- How does DataAnnotation ensure the quality of AI-generated code evaluated by DevOps & SDLC Engineer AI Trainers?
- DevOps & SDLC Engineer AI Trainers at DataAnnotation evaluate AI-generated code for accuracy, performance, and clarity. Your feedback directly shapes the next generation of AI models, ensuring high standards in the AI systems being developed.