DevOps Engineer - AI Trainer
DataAnnotation · Florida, United States
- Hybrid
- Full-time
- $75,000 / year
- Florida, 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 DevOps Engineer role training AI systems.
- Flexible schedule with competitive hourly pay.
- Shape future AI models with your feedback.
- Emphasis on Android development and Kotlin.
- Requires programming proficiency and strong English.
About the role
About 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 on Payment and Eligibility
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
- Python
- JavaScript
- Software Development
- Code Evaluation
- Problem Solving
- Data Analysis
Skills & topics
- DevOps Engineer
- AI Trainer
- Remote
- Programming
- Kotlin
- Android Development
- Python
- JavaScript
- Software Developer
- AI Development
How to get hired
- Ace the assessment: This is your interview; prepare to showcase coding skills and problem-solving.
- Tailor your resume: Highlight programming experience, specific languages like Kotlin, and any AI exposure.
- Demonstrate English fluency: Emphasize strong writing and grammar for clear code explanations and feedback.
- Check eligibility: Ensure you are located in the US, Canada, UK, Ireland, Australia, or New Zealand.
Technical preparation
Master Kotlin and Android development basics.,Practice Python, JavaScript, and other listed languages.,Build sample apps demonstrating rich functionality.,Review AI code evaluation and feedback techniques.
Behavioral questions
Explain a complex coding problem you solved.,Describe how you give constructive feedback.,How do you manage your flexible schedule?,What motivates you to train AI systems?
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 on their platform and completing a short assessment. This assessment serves as the primary interview. Successful candidates will receive an email confirmation and gain access to paid work opportunities.
- What programming languages are most important for the DevOps Engineer AI Trainer role at DataAnnotation?
- While fluency in English and a bachelor's degree are required, experience in Kotlin is preferred for the DevOps Engineer AI Trainer role. Proficiency in other languages like JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift is also highly valued.
- Can I work as a DevOps Engineer AI Trainer if I live outside the US, Canada, UK, Ireland, Australia, or New Zealand?
- Unfortunately, no. This DevOps Engineer AI Trainer position is specifically available only to individuals residing in the US, Canada, UK, Ireland, Australia, and New Zealand. Those located elsewhere will not be able to access work or assessments on the DataAnnotation platform at this time.
- What is the expected pay for a DevOps Engineer AI Trainer at DataAnnotation?
- The pay for a DevOps Engineer AI Trainer is competitive and project-based, paid hourly. Rates typically start between $50-$100+ per hour, with opportunities for higher compensation based on strong performance and the complexity of the projects undertaken.
- What are the primary responsibilities of a DevOps Engineer AI Trainer at DataAnnotation?
- As a DevOps Engineer AI Trainer, you will design and solve coding problems for AI training, focusing on Android development. Your role involves writing clear code snippets, providing detailed explanations, evaluating AI-generated code, and giving feedback to refine AI models.