Site Reliability Engineer - AI Trainer
DataAnnotation · Utah, United States
- Hybrid
- Full-time
- $75,000 / year
- Utah, United States
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Job highlights
- Train AI systems by solving coding problems.
- Emphasize Android development with Kotlin.
- Evaluate and improve AI-generated code.
- Flexible schedule, work from home.
- Earn $50-$100+ per hour.
About the role
Site Reliability Engineer - AI Trainer
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
- JavaScript
- TypeScript
- Python
- Code Evaluation
- Problem Solving
- Software Development
Skills & topics
- Site Reliability Engineer
- AI Trainer
- Android Development
- Kotlin
- JavaScript
- TypeScript
- Python
- Software Developer
- Coder
- Programmer
- AI
- Machine Learning
- Remote Work
- Contractor
How to get hired
- Pass the initial assessment: This is your primary interview. Prepare by reviewing common coding challenges and best practices.
- Showcase language proficiency: Highlight experience with Kotlin, JavaScript, TypeScript, Python, or other listed languages on your profile.
- Demonstrate strong writing skills: Ensure your code snippets and explanations are clear and grammatically correct.
- Align with geographic requirements: Confirm you are in the US, Canada, UK, Ireland, Australia, or New Zealand.
Technical preparation
Practice Android development with Kotlin.,Review common coding problem patterns.,Brush up on JavaScript, Python, C++.,Understand code evaluation criteria.
Behavioral questions
Describe a complex coding problem you solved.,How do you ensure code clarity and accuracy?,How do you provide constructive feedback?,How do you manage your work schedule?
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 and access to paid work on their platform.
- What programming languages are essential for the Site Reliability Engineer - AI Trainer role at DataAnnotation?
- While preferred experience is in Kotlin, DataAnnotation requires proficiency in at least one of the following languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift for the Site Reliability Engineer - AI Trainer position.
- What are the expected earnings for a Site Reliability Engineer - AI Trainer at DataAnnotation?
- Site Reliability Engineer - AI Trainers at DataAnnotation can expect to earn $50-$100+ per hour, with potential for higher rates on certain projects. Payments are made via PayPal.
- Can I work as a Site Reliability Engineer - AI Trainer for DataAnnotation if I'm not in the US?
- Currently, the Site Reliability Engineer - AI Trainer role at DataAnnotation is only available to individuals in the US, Canada, UK, Ireland, Australia, and New Zealand. If you are located outside these countries, you may not see work or assessments available.
- What is the work arrangement for a Site Reliability Engineer - AI Trainer at DataAnnotation?
- The Site Reliability Engineer - AI Trainer position at DataAnnotation is an independent contractor role. You have the flexibility to choose your projects and work on your own schedule, from your own computer, at home.
- How does DataAnnotation use the coding problems created by Site Reliability Engineers - AI Trainers?
- The diverse coding problems designed and solved by Site Reliability Engineers - AI Trainers at DataAnnotation are used to train AI systems, with a specific emphasis on Android development. Your work directly refines these intelligent systems.
- What kind of quality standards are expected for code snippets and explanations as a Site Reliability Engineer - AI Trainer?
- As a Site Reliability Engineer - AI Trainer, you are expected to write clear, high-quality code snippets and provide detailed explanations. This ensures the accuracy, performance, and clarity of the training data for AI models.