DevOps Engineer - AI Trainer
DataAnnotation · California, United States
- Hybrid
- Full-time
- $100,000 / year
- California, United States
Job highlights
- Remote DevOps Engineer AI Trainer role.
- Train cutting-edge AI systems with code.
- Flexible schedule, work anywhere remotely.
- Competitive pay starting at $50-$100+/hr.
- Shape the future of AI technologies.
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
- AI Training
- Android Development
- Kotlin
- JavaScript
- Python
- Software Development
- Coding
- Problem Solving
- Data Analysis
Skills & topics
- DevOps Engineer
- AI Trainer
- Android Development
- Kotlin
- JavaScript
- Python
- Software Developer
- Remote Work
- AI Development
- Coding Problems
How to get hired
- Tailor your resume: Highlight programming skills, AI experience, and English fluency.
- Ace the assessment: Prepare for the coding assessment to demonstrate your skills.
- Showcase language proficiency: Emphasize Kotlin, JavaScript, Python, or other listed languages.
- Highlight relevant experience: Detail any prior roles as a Software Developer or Engineer.
- Confirm eligibility: Ensure you are in an eligible country (US, CA, UK, AU, NZ, IE).
Technical preparation
Behavioral questions
Frequently asked questions
- How does the application process for a DevOps Engineer AI Trainer at DataAnnotation work?
- The application process for a DevOps Engineer AI Trainer at DataAnnotation begins with signing up for an account. You will then complete a short coding assessment, which serves as the primary interview. Passing this assessment leads to an email confirmation and access to paid work on the platform.
- What are the remote work options for this DevOps Engineer AI Trainer role?
- This DevOps Engineer AI Trainer position is fully remote and available to individuals located in the US, Canada, UK, Ireland, Australia, and New Zealand. You can work from anywhere within these specified countries.
- What programming languages are most important for the DevOps Engineer AI Trainer role?
- While fluency in English is essential, preferred experience in Kotlin is highly valued. Proficiency in other languages such as JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift is also beneficial for this DevOps Engineer AI Trainer position.
- What is the expected pay for a DevOps Engineer AI Trainer at DataAnnotation?
- The pay for this DevOps Engineer AI Trainer role is competitive and project-based, paid hourly. Rates start at $50-$100+ per hour, with opportunities for higher earnings based on strong performance.
- Does DataAnnotation require any payment from applicants for the DevOps Engineer AI Trainer role?
- No, DataAnnotation will never ask for money from applicants for the DevOps Engineer AI Trainer role. Payments are made via PayPal, and PayPal handles any currency conversions from USD.
- What kind of work will a DevOps Engineer AI Trainer be doing?
- As a DevOps Engineer AI Trainer, you will be designing and solving coding problems to train AI systems, with a focus on Android development. This includes writing code snippets, providing detailed explanations, evaluating AI-generated code, and offering feedback to improve AI models.
- What qualifications are needed for the DevOps Engineer AI Trainer position?
- Key qualifications for the DevOps Engineer AI Trainer position include English fluency, strong writing and grammar skills, and a bachelor’s degree (or in progress). Preferred experience includes Kotlin and prior roles as a Software Developer, Coder, Software Engineer, or Programmer.