DevOps & SDLC Engineer - AI Trainer
DataAnnotation · Michigan, United States
- Hybrid
- Full-time
- $100,000 / year
- Michigan, United States
Job highlights
- Train AI systems by solving coding problems.
- Write high-quality code and provide feedback.
- Evaluate AI-generated code for accuracy.
- Work remotely with a flexible schedule.
- Earn competitive hourly pay ($50-$100+/hr).
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.
Key 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.
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.
Qualifications
- Fluency in English (native or bilingual level).
- Preferred experience in Kotlin.
- Proficiency in at least one of 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.
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.
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
- Programming
- Android Development
- Kotlin
- JavaScript
- Python
- Software Engineering
- Problem Solving
Skills & topics
- DevOps
- SDLC
- AI Trainer
- Programmer
- Software Engineer
- Android Development
- Kotlin
- JavaScript
- Python
- Remote Work
How to get hired
- Understand the Role: Familiarize yourself with AI training, SDLC, and the required programming languages.
- Ace the Assessment: Prepare thoroughly for the initial coding assessment, as it's your primary interview.
- Craft Your Profile: Highlight your programming experience, English fluency, and any preferred language skills.
- Follow Instructions: Ensure your application clearly demonstrates your qualifications and attention to detail.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the application process for a DevOps & SDLC Engineer AI Trainer role at DataAnnotation?
- The application process for a DevOps & SDLC Engineer AI Trainer at DataAnnotation begins with signing up for an account and completing a short coding assessment. Passing this assessment leads to an email confirmation, after which paid work becomes available on their platform.
- What programming languages are essential for the AI Trainer position at DataAnnotation?
- While Kotlin is preferred for the AI Trainer role at DataAnnotation, proficiency in at least one of the following is required: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Fluency in English and excellent writing skills are also crucial.
- Can I work as a DevOps & SDLC Engineer AI Trainer remotely?
- Yes, the DevOps & SDLC Engineer AI Trainer role at DataAnnotation is fully remote. You can work from anywhere in the US, Canada, UK, Ireland, Australia, and New Zealand.
- What is the expected pay for a DevOps & SDLC Engineer AI Trainer at DataAnnotation?
- The pay for the DevOps & SDLC Engineer AI Trainer position at DataAnnotation is competitive and paid hourly, starting at $50-$100+/hr. Opportunities for higher-paying projects are available based on strong performance.
- What is the role of a DevOps & SDLC Engineer AI Trainer in AI development?
- As a DevOps & SDLC Engineer AI Trainer, you will design and solve coding problems to train AI systems, write clear code snippets, evaluate AI-generated code, and provide feedback to shape future AI models, with an emphasis on Android development.
- What qualifications are needed to become an AI Trainer at DataAnnotation?
- To become an AI Trainer at DataAnnotation, you need English fluency, proficiency in at least one specified programming language/framework, excellent writing skills, and a bachelor's degree (completed or in progress). Previous software development experience is preferred.