Site Reliability Engineer - AI Trainer
DataAnnotation · Texas, United States
- Hybrid
- Full-time
- $75,000 / year
- Texas, United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Train AI models by solving coding problems.
- Work flexibly from home on your schedule.
- Earn $50-$100+ per hour.
- Focus on Android and Kotlin development.
- Contribute to cutting-edge AI advancements.
About the role
Site Reliability Engineer - AI Trainer at DataAnnotation
DataAnnotation is seeking a Site Reliability Engineer - AI Trainer to join their coding team and contribute to advancing AI development. You will be part of a large community of over 100,000 professionals working on cutting-edge AI models.
About the Role
This role offers a flexible and challenging environment where you will engage with state-of-the-art AI models. Your responsibilities will include creating and solving complex coding problems, developing applications with rich functionality, and performing data analysis and visualization to refine intelligent systems. This position can accommodate individuals seeking supplemental income alongside a full-time role or those looking for a primary focus, with adaptable project selection and scheduling.
Getting Started
To begin, sign up for an account and complete a brief assessment, which serves as the initial screening process. Upon successful completion and confirmation via email, paid work opportunities will be made available on the platform.
Advantages of Contracting with DataAnnotation
- Project Selection: Choose the projects that interest you and align with your goals.
- Flexible Schedule: Work on your own terms, from your home, using your own computer.
- Competitive Compensation: Earn hourly rates ranging from $50-$100+, with potential for higher rates on specific projects.
Responsibilities
- Design and solve diverse coding problems, with a focus on Android development, to train AI systems.
- Produce clear, high-quality code snippets accompanied by detailed explanations.
- Assess AI-generated code for accuracy, performance, and clarity.
- Provide crucial feedback to influence the development of next-generation AI models.
Qualifications
- Fluency in English (native or bilingual level).
- Preferred experience with Kotlin.
- Proficiency in at least one of the following: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift.
- Exceptional writing and grammar skills.
- Bachelor's degree (completed or in progress).
- Previous experience as a Software Developer, Coder, Software Engineer, or Programmer is preferred.
Important Notes
- Payment is processed via PayPal (conversions from USD handled by PayPal).
- This role is open to candidates in the US, Canada, UK, Ireland, Australia, and New Zealand.
- This is an independent contractor position.
Key Skills/Competency
- Site Reliability Engineering
- AI Training
- Android Development
- Kotlin
- Programming Languages
- Code Evaluation
- Problem Solving
- Software Development
- Data Analysis
- Technical Writing
Skills & topics
- Site Reliability Engineer
- AI Trainer
- Android Development
- Kotlin
- Software Engineer
- Coder
- Programmer
- AI Development
- Coding Problems
- Data Annotation
How to get hired
- Tailor your application: Highlight your coding problem-solving skills, Android development experience, and Kotlin proficiency in your assessment.
- Ace the assessment: Prepare for the short assessment by reviewing common coding challenges and AI training tasks.
- Showcase your English skills: Ensure your written explanations and code comments are clear, concise, and grammatically perfect.
- Demonstrate programming expertise: Emphasize your experience with JavaScript, TypeScript, Python, or other listed languages.
Technical preparation
Practice Kotlin and Android development problems.,Review code evaluation techniques for AI.,Prepare to write clear code explanations.,Study AI model training methodologies.
Behavioral questions
How do you approach complex coding challenges?,Describe your experience with detailed explanations.,How do you provide constructive feedback?,How do you manage flexible work schedules?
Frequently asked questions
- What is the application process for a Site Reliability Engineer - AI Trainer at DataAnnotation?
- To apply for the Site Reliability Engineer - AI Trainer position at DataAnnotation, you first need to sign up for an account on their platform. Following this, you will complete a short assessment which acts as their interview. If you pass this assessment, you'll receive an email confirmation, and paid work opportunities will become available.
- What programming languages are most important for the Site Reliability Engineer - AI Trainer role at DataAnnotation?
- While fluency in English and strong writing skills are essential, the Site Reliability Engineer - AI Trainer role at DataAnnotation specifically emphasizes Android development and preferred experience in Kotlin. Proficiency in at least one of the following is also required: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift.
- What is the expected compensation for a Site Reliability Engineer - AI Trainer at DataAnnotation?
- The Site Reliability Engineer - AI Trainer position at DataAnnotation offers hourly rates starting at $50-$100+, with the potential for higher rates on certain projects. Payment is made via PayPal.
- Can I work as a Site Reliability Engineer - AI Trainer for DataAnnotation if I am not in the US?
- Currently, the Site Reliability Engineer - AI Trainer role at DataAnnotation is only available to individuals located in the US, Canada, UK, Ireland, Australia, and New Zealand. If you are outside these regions, you will not see work or assessments available on their site at this time.
- Is the Site Reliability Engineer - AI Trainer position at DataAnnotation a full-time or part-time role?
- The Site Reliability Engineer - AI Trainer position at DataAnnotation is an independent contractor role. This allows for significant flexibility, enabling team members to fit this work alongside a full-time job or treat it as their primary focus, choosing projects and schedules that align with their availability and goals.