DevOps & SDLC Engineer - AI Trainer
DataAnnotation · Minnesota, United States
- Hybrid
- Full-time
- $75,000 / year
- Minnesota, United States
Job highlights
- Work remotely training cutting-edge AI systems.
- Set your own schedule and choose projects.
- Earn $50-$100+/hr with performance increases.
- Shape the future of AI technologies.
- Requires programming and excellent writing skills.
About the role
DevOps & SDLC 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
- SDLC
- AI Training
- Android Development
- Kotlin
- JavaScript
- Python
- Software Engineering
- Coding Problems
- Code Evaluation
Skills & topics
- DevOps
- SDLC
- AI Trainer
- Remote Work
- Kotlin
- JavaScript
- Python
- Android Development
- Coding Problems
- Code Evaluation
- Software Engineer
- Programmer
- DataAnnotation
- AI Development
- Flexible Schedule
How to get hired
- Prepare for the assessment: This is your interview; practice coding problems and review language requirements.
- Showcase programming skills: Highlight experience in Kotlin, JavaScript, Python, or other listed languages.
- Demonstrate writing proficiency: Emphasize excellent grammar and clear explanation abilities.
- Meet location requirements: Ensure you are based in the US, Canada, UK, Ireland, Australia, or New Zealand.
Technical preparation
Behavioral questions
Frequently asked questions
- How does the application process for the DevOps & SDLC Engineer - AI Trainer role at DataAnnotation work?
- The application process for the DevOps & SDLC Engineer - AI Trainer role at DataAnnotation begins with signing up for an account and completing a short assessment, which serves as the interview. If you pass this assessment, you'll receive an email confirmation, and paid work will become available through their platform.
- What programming languages are required for the DevOps & SDLC Engineer - AI Trainer position?
- While preferred experience is in Kotlin, proficiency in at least one of the following is required for the DevOps & SDLC Engineer - AI Trainer role: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Fluency in English is also essential.
- Can I work as a DevOps & SDLC Engineer - AI Trainer at DataAnnotation if I'm not in the US?
- Yes, if you are in Canada, the UK, Ireland, Australia, or New Zealand. The DevOps & SDLC Engineer - AI Trainer role is available to residents of these countries, as well as the US. Those located outside these specified regions will not be able to access work or assessments.
- What is the expected pay for a DevOps & SDLC Engineer - AI Trainer at DataAnnotation?
- The DevOps & SDLC Engineer - AI Trainer role offers competitive pay, with projects paid hourly starting at $50-$100+/hr. Opportunities for higher-paying projects are available based on strong performance.
- What kind of tasks does a DevOps & SDLC Engineer - AI Trainer perform at DataAnnotation?
- As a DevOps & SDLC Engineer - AI Trainer, you will design and solve coding problems to train AI systems, focusing on Android development. You'll also write code snippets, detailed explanations, evaluate AI-generated code, and provide feedback to improve AI models.