Data Engineer - AI Trainer
DataAnnotation · Florida, United States
- Hybrid
- Full-time
- $75,000 / year
- Florida, United States
Job highlights
- Remote AI trainer role with flexible schedule.
- Design and solve coding problems for AI.
- Evaluate and provide feedback on AI code.
- Competitive hourly pay $50-$100+.
- Contribute to future AI technologies.
About the role
Data Engineer AI Trainer
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.
Getting 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 on Payment and Availability
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
- Android Development
- Kotlin
- Python
- JavaScript
- TypeScript
- C++
- AI Training
- Code Evaluation
- Data Analysis
- Problem Solving
Skills & topics
- Data Annotation
- Data Engineer
- AI Trainer
- Remote
- Kotlin
- Android Development
- Python
- JavaScript
- Programming
- Software Development
- AI
- Machine Learning
How to get hired
- Complete the assessment: This is your primary interview; ace the coding assessment.
- Highlight relevant skills: Emphasize Kotlin, Android development, and other programming languages on your resume.
- Showcase writing ability: Demonstrate excellent English writing and grammar skills in your application.
- Prepare for remote work: Ensure you have a reliable setup for independent, remote tasks.
- Check eligibility: Confirm you are in an accepted country (US, CA, UK, IE, AU, NZ).
Technical preparation
Behavioral questions
Frequently asked questions
- What is the assessment process for the Data Engineer AI Trainer role at DataAnnotation?
- The primary method to get started as a Data Engineer AI Trainer at DataAnnotation is by completing a short coding assessment. Passing this assessment is equivalent to an interview and unlocks access to paid work on the platform.
- What programming languages are most important for the Data Engineer AI Trainer position?
- While Kotlin experience is preferred, proficiency in languages like JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift is also highly valued for the Data Engineer AI Trainer role.
- Can I work as a Data Engineer AI Trainer if I live outside the US, Canada, UK, Ireland, Australia, or New Zealand?
- Unfortunately, the Data Engineer AI Trainer position is currently only available to individuals residing in the US, Canada, UK, Ireland, Australia, and New Zealand. Work and assessments will not be visible outside these regions.
- How is payment handled for the Data Engineer AI Trainer role?
- Payment for Data Annotation's Data Engineer AI Trainer roles is processed via PayPal. The company emphasizes that they will never ask for money from you, and PayPal manages any currency conversions from USD.
- What is the expected hourly pay for a Data Engineer AI Trainer at DataAnnotation?
- The hourly pay for Data Engineer AI Trainer projects starts at $50-$100+, with opportunities for higher rates based on strong performance and the complexity of the projects undertaken.
- Does DataAnnotation provide the tools or software needed for the Data Engineer AI Trainer role?
- The job description doesn't explicitly state if tools are provided. However, as a remote role, candidates are expected to have a suitable environment and likely their own development tools, focusing on coding tasks and evaluations.
- Is a bachelor's degree required to become a Data Engineer AI Trainer at DataAnnotation?
- A bachelor's degree, whether completed or in progress, is listed as a qualification for the Data Engineer AI Trainer role. This indicates a preference for formal education in a relevant field.