Site Reliability Engineer - AI Trainer
DataAnnotation · Minnesota, United States
- Hybrid
- Full-time
- $100,000 / year
- Minnesota, United States
Job highlights
- Train AI systems with coding challenges.
- Work remotely on your own schedule.
- Earn $50-$100+ per hour.
- Improve next-generation AI models.
- Requires English fluency and coding skills.
About the role
Site Reliability Engineer - AI Trainer at DataAnnotation
We are looking for an existing Site Reliability Engineer - AI Trainer 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.
Advantages Of Contracting With Us
- You'll be able to choose which projects you want to work on and when
- You work on your own schedule, on your own computer, from the comfort of your own home
- Projects are paid hourly starting at $50-$100+/hr, with higher rates available for certain projects
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 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 Notes
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. This is an independent contractor position.
Key skills/competency
- Site Reliability Engineering
- AI Training
- Android Development
- Kotlin
- Software Development
- Coding Problem Design
- Code Evaluation
- AI Model Refinement
- Data Analysis
- Programming Languages (JavaScript, Python, Java, etc.)
Skills & topics
- Site Reliability Engineer
- AI Trainer
- Android Development
- Kotlin
- Software Developer
- Coder
- Programmer
- Remote Work
- Contractor
- AI Development
How to get hired
- Tailor your assessment: Practice coding problems similar to Android development and AI training scenarios.
- Highlight relevant experience: Emphasize your background in software development, coding, and any preferred languages like Kotlin.
- Showcase your writing skills: Prepare to write clear code snippets and detailed explanations for your solutions.
- Confirm eligibility: Ensure you are located in the US, Canada, UK, Ireland, Australia, or New Zealand.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the application process for a Site Reliability Engineer - AI Trainer at DataAnnotation?
- The application process for a Site Reliability Engineer - AI Trainer at DataAnnotation involves signing up for an account and completing a short assessment. Passing this assessment leads to an email confirmation, after which paid work becomes available on the platform.
- What are the payment terms for a Site Reliability Engineer - AI Trainer with DataAnnotation?
- Site Reliability Engineer - AI Trainer roles at DataAnnotation are paid hourly, with rates starting at $50-$100+/hr, and potentially higher for certain projects. Payments are made via PayPal.
- What programming languages are required for the Site Reliability Engineer - AI Trainer role?
- While preferred experience is in Kotlin for the Site Reliability Engineer - AI Trainer role, proficiency in at least one of the following is required: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift.
- Is the Site Reliability Engineer - AI Trainer position a remote role?
- Yes, the Site Reliability Engineer - AI Trainer position is an independent contractor role that can be performed remotely from your own computer and home.
- What are the geographical restrictions for the Site Reliability Engineer - AI Trainer job at DataAnnotation?
- The Site Reliability Engineer - AI Trainer job at DataAnnotation is only available to individuals located in the US, Canada, UK, Ireland, Australia, and New Zealand. Those outside these countries will not see available work or assessments.
- What is the expected work arrangement for a Site Reliability Engineer - AI Trainer at DataAnnotation?
- This is an independent contractor position, allowing for a flexible work arrangement where you choose your projects and work on your own schedule from home.
- What kind of coding problems will I solve as a Site Reliability Engineer - AI Trainer?
- As a Site Reliability Engineer - AI Trainer, you will design and solve diverse coding problems to train AI systems, with a specific emphasis on Android development, and write clear code snippets with detailed explanations.