Data Engineer - AI Trainer
DataAnnotation · Washington, United States
- Hybrid
- Full-time
- $75,000 / year
- Washington, United States
Job highlights
- Remote Data Engineer role training AI systems.
- Solve programming challenges and build apps.
- Work with state-of-the-art AI models.
- Flexible schedule, competitive hourly pay.
- Shape the future of AI technologies.
About the role
Data 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.
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
- Data Engineering
- AI Training
- Programming
- Kotlin
- JavaScript
- Python
- Software Development
- Problem Solving
- Code Evaluation
- Feedback Provision
Skills & topics
- Data Engineer
- AI Trainer
- Remote
- Programming
- Kotlin
- JavaScript
- Python
- Software Development
- Android Development
- AI Systems
How to get hired
- Tailor your resume: Highlight programming skills, specific languages (Kotlin preferred), and any software development experience.
- Ace the assessment: Treat the initial assessment as your interview; demonstrate strong coding and problem-solving abilities.
- Showcase writing skills: Emphasize your fluency in English and excellent grammar for clear explanations and feedback.
- Confirm eligibility: Ensure you are located in one of the eligible countries (US, Canada, UK, Ireland, Australia, New Zealand).
- Be ready for remote work: Confirm your ability to work independently and manage your schedule effectively.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the application process for a Data Engineer AI Trainer at DataAnnotation?
- The application process for a Data Engineer AI Trainer at DataAnnotation begins with signing up for an account and completing a short assessment, which serves as the interview. Upon passing, you'll receive an email confirmation, and paid work will become available through their platform.
- What programming languages are most important for the Data Engineer AI Trainer role?
- While proficiency in Kotlin is preferred for the Data Engineer AI Trainer role, DataAnnotation also requires proficiency in at least one of the following: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Strong general programming skills are key.
- Can I work as a Data Engineer AI Trainer if I'm not in the US?
- Currently, the Data Engineer AI Trainer position is only available to individuals located in the US, Canada, UK, Ireland, Australia, and New Zealand. Those outside these countries will not see work or assessments available.
- What is the typical hourly pay for a Data Engineer AI Trainer at DataAnnotation?
- The hourly pay for a Data Engineer AI Trainer at DataAnnotation starts at $50-$100+/hr. Opportunities for higher-paying projects exist for those with strong performance on the platform.
- What are the main responsibilities of a Data Engineer AI Trainer?
- As a Data Engineer AI Trainer, your main responsibilities include designing and solving coding problems for AI training, writing clear code snippets and explanations, evaluating AI-generated code, and providing feedback to improve AI models.
- Is this a full-time or part-time role as a Data Engineer AI Trainer?
- This role offers a flexible schedule, allowing you to choose projects and work when you are available. Some team members fit this work alongside a full-time role, while others treat it as their primary focus.
- What kind of assessment is required to become a Data Engineer AI Trainer?
- The assessment for the Data Engineer AI Trainer role is a short test designed to evaluate your programming skills and ability to solve coding problems. It serves as the primary 'interview' for the position.
- How does DataAnnotation ensure the quality of work from Data Engineers?
- DataAnnotation relies on the quality of code snippets, detailed explanations, and evaluations provided by Data Engineers. The feedback you provide directly shapes the next generation of AI models, indicating a focus on constructive contributions.