DevOps Engineer - AI Trainer
DataAnnotation · Massachusetts, United States
- Hybrid
- Full-time
- $75,000 / year
- Massachusetts, United States
Job highlights
- Work remotely on AI development projects.
- Set your own schedule and choose projects.
- Earn $50-$100+/hr based on performance.
- Shape the future of AI technologies.
- Requires programming and English fluency.
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 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 Engineer
- AI Trainer
- Android Development
- Kotlin
- Programming
- Software Development
- Code Evaluation
- AI Models
- Data Annotation
- Problem Solving
Skills & topics
- DevOps Engineer
- AI Trainer
- Android Development
- Kotlin
- Programming
- Software Developer
- AI
- Remote Work
- Coding
- English Fluency
How to get hired
- Tailor your resume: Highlight relevant programming experience and English fluency.
- Ace the assessment: Prepare for the coding assessment as your interview.
- Showcase your skills: Emphasize Kotlin or other listed language proficiency.
- Read instructions carefully: Ensure you meet location and qualification requirements.
Technical preparation
Behavioral questions
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 for an account, completing a short coding assessment, and receiving an email confirmation upon passing. Paid work then becomes available through their platform. This assessment serves as their primary method of evaluation.
- What programming languages are required for the DevOps Engineer AI Trainer role at DataAnnotation?
- While preferred experience is in Kotlin, the DevOps Engineer AI Trainer role at DataAnnotation requires proficiency in at least one of the following: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Fluency in English is also essential.
- What is the expected pay for a DevOps Engineer AI Trainer at DataAnnotation?
- The pay for a DevOps Engineer AI Trainer at DataAnnotation is competitive, with projects paid hourly starting at $50-$100+. Higher-paying projects may become available based on strong performance and successful project completion.
- Is the DevOps Engineer AI Trainer position at DataAnnotation remote?
- Yes, the DevOps Engineer AI Trainer position at DataAnnotation is fully remote. Candidates must be located in the US, Canada, UK, Ireland, Australia, or New Zealand to be eligible for work and assessments.
- What kind of work will a DevOps Engineer AI Trainer do at DataAnnotation?
- As a DevOps Engineer AI Trainer, you will design and solve coding problems to train AI systems, focusing 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 role at DataAnnotation?
- To qualify for the DevOps Engineer AI Trainer role at DataAnnotation, you need English fluency, a bachelor’s degree (completed or in progress), and preferred experience as a Software Developer or similar. Proficiency in Kotlin or other listed programming languages is also required.