DevOps Engineer - AI Trainer
DataAnnotation · Illinois, United States
- Hybrid
- Full-time
- $100,000 / year
- Illinois, United States
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Job highlights
- Remote DevOps Engineer role for AI training.
- Flexible schedule, set your own hours.
- Competitive pay from $50-$100+ per hour.
- Shape the future of AI technologies.
- Contribute to advanced AI system development.
About the role
About 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.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.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 Engineer AI Trainer, AI Systems Development, Programming, Android Development, Kotlin, JavaScript, Python, Software Development, Code Evaluation, Data Analysis, AI Model Refinement.Skills & topics
- DevOps Engineer
- AI Trainer
- AI Development
- Remote Work
- Programming
- Android Development
- Kotlin
- JavaScript
- Python
- Software Engineer
How to get hired
- Customize your resume: Highlight relevant programming skills and any Android development or Kotlin experience.
- Ace the assessment: Prepare for the coding assessment, which serves as the primary interview.
- Demonstrate language proficiency: Showcase fluency in English and any preferred programming languages like Kotlin.
- Highlight software development experience: Emphasize previous roles as a Software Developer or Engineer.
Technical preparation
Practice Android development with Kotlin.,Solve coding problems in Python or JavaScript.,Review AI-generated code for errors.,Understand AI system training concepts.
Behavioral questions
Describe a complex coding problem you solved.,How do you ensure code quality and clarity?,Explain your feedback process for AI models.,How do you manage a flexible work schedule?
Frequently asked questions
- How do I apply for the DevOps Engineer AI Trainer role at DataAnnotation?
- To apply for the DevOps Engineer AI Trainer position at DataAnnotation, sign up for an account on their platform and complete a short assessment. Passing this assessment will lead to email confirmation and access to paid work.
- What is the work arrangement for the DevOps Engineer AI Trainer at DataAnnotation?
- The DevOps Engineer AI Trainer role at DataAnnotation is fully remote, allowing you to work from anywhere within the US, Canada, UK, Ireland, Australia, and New Zealand.
- What programming languages are most important for the DevOps Engineer AI Trainer role?
- While preferred experience in Kotlin is noted, proficiency in languages like JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift is also highly valued for this DevOps Engineer AI Trainer position.
- Is there an interview process for the DevOps Engineer AI Trainer role at DataAnnotation?
- The primary 'interview' for the DevOps Engineer AI Trainer role at DataAnnotation is a short coding assessment. Passing this assessment is key to unlocking paid work opportunities.
- What are the pay rates for the DevOps Engineer AI Trainer position at DataAnnotation?
- The DevOps Engineer AI Trainer role offers competitive hourly pay, starting between $50 and $100+, with opportunities for higher earnings based on strong performance.
- What kind of impact will I have as a DevOps Engineer AI Trainer at DataAnnotation?
- As a DevOps Engineer AI Trainer, you will directly contribute to refining intelligent systems and shaping the future of AI technologies by evaluating AI-generated code and providing critical feedback.
- Can I fit this role in with a full-time job?
- Yes, the flexible schedule for the DevOps Engineer AI Trainer role allows team members to fit this work alongside a full-time job or treat it as their primary focus.