Application Engineer - AI Trainer
DataAnnotation · California, United States
- Hybrid
- Full-time
- $100,000 / year
- California, United States
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Job highlights
- Remote Application Engineer role for AI training.
- Flexible schedule with competitive hourly pay.
- Contribute to cutting-edge AI system development.
- Requires strong programming and writing skills.
- Assessments replace traditional interviews for hiring.
About the role
About the Role
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.
Important 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
- Application Engineer
- AI Trainer
- Android Development
- Kotlin
- JavaScript
- Python
- Coding Problems
- AI Models
- Data Analysis
- Software Development
Skills & topics
- Application Engineer
- AI Trainer
- AI Development
- Remote Work
- Flexible Schedule
- Programming
- Kotlin
- Android Development
- Python
- JavaScript
- Software Developer
- Coder
- Engineer
- DataAnnotation
How to get hired
- Prepare your resume: Highlight programming skills, especially Kotlin, and any Android development experience. Mention software development or coding roles.
- Take the assessment: This is your interview. Practice coding problems and demonstrate clear communication.
- Understand the requirements: Ensure you meet the English fluency and degree requirements.
- Be in an eligible region: Work is restricted to the US, Canada, UK, Ireland, Australia, and New Zealand.
Technical preparation
Practice Kotlin and Android development problems.,Review JavaScript, Python, C++, and Java fundamentals.,Sharpen coding problem-solving and explanation skills.,Familiarize with AI model evaluation metrics.
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-life balance?
Frequently asked questions
- How do I apply for the Application Engineer AI Trainer role at DataAnnotation?
- To apply for the Application Engineer AI Trainer position at DataAnnotation, you need to sign up for an account on their platform. Instead of a traditional interview, you will complete a short assessment. Passing this assessment is the key to unlocking paid work opportunities.
- What programming languages are essential for the Application Engineer AI Trainer job?
- While Kotlin experience is preferred for the Application Engineer AI Trainer role at DataAnnotation, proficiency in at least one of the following is required: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Android development is a key focus.
- Is the Application Engineer AI Trainer position at DataAnnotation remote?
- Yes, the Application Engineer AI Trainer position at DataAnnotation is fully remote. You can work from anywhere within the US, Canada, UK, Ireland, Australia, and New Zealand, offering significant flexibility in your work location.
- What is the pay rate for the Application Engineer AI Trainer role at DataAnnotation?
- The Application Engineer AI Trainer role at DataAnnotation offers competitive hourly pay, starting at $50-$100+ per hour. Higher-paying projects may become available based on your performance on the platform.
- What are the basic qualifications for the Application Engineer AI Trainer job?
- To qualify for the Application Engineer AI Trainer role, you need native or bilingual fluency in English, excellent writing and grammar skills, and a bachelor's degree (completed or in progress). Previous software development experience is preferred.
- How does DataAnnotation handle payments for the Application Engineer AI Trainer role?
- DataAnnotation processes payments for the Application Engineer AI Trainer role via PayPal. They clearly state that they will never ask for money from you, and PayPal will manage any necessary currency conversions from USD.