SDLC Engineer - AI Trainer
DataAnnotation · California, United States
- Hybrid
- Full-time
- $80,000 / year
- California, United States
Tailored resume — keyword-matched to this role.
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Job highlights
- Remote AI trainer role with flexible hours.
- Develop and refine cutting-edge AI systems.
- Solve challenging programming problems.
- Evaluate and improve AI-generated code.
- Competitive pay starting at $50-$100+/hr.
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.
Key skills/competency
- AI Training
- SDLC
- Android Development
- Kotlin
- Programming Languages
- Code Evaluation
- Data Analysis
- Software Engineering
- Problem Solving
- AI Models
Skills & topics
- AI Trainer
- SDLC Engineer
- Android Development
- Kotlin
- Software Engineer
- Programmer
- Remote Work
- AI Development
- Coding
- Data Analysis
How to get hired
- Tailor your resume: Highlight Android development, Kotlin, and other listed programming languages. Emphasize problem-solving and coding experience.
- Ace the assessment: Prepare for the short assessment, as it's your primary interview. Practice coding challenges and demonstrating clear explanations.
- Showcase language skills: Ensure your English fluency and writing skills are evident in your application and assessment.
- Apply strategically: Confirm your eligibility based on the listed countries and focus on meeting the preferred qualifications.
Technical preparation
Master Kotlin and Android development.,Practice coding problems for AI training.,Refine code explanation writing skills.,Study AI code evaluation techniques.
Behavioral questions
How do you approach complex coding challenges?,Describe a time you improved a system.,How do you provide constructive feedback?,How do you manage your work schedule?
Frequently asked questions
- How does the AI Trainer assessment work at DataAnnotation?
- The assessment for the AI Trainer role at DataAnnotation serves as their version of an interview. It's a short evaluation designed to gauge your programming skills and suitability for training AI systems. Passing this assessment is the key to unlocking paid work opportunities on their platform.
- What programming languages are most valued for the AI Trainer position?
- While proficiency in Kotlin is preferred for the AI Trainer role, DataAnnotation also highly values expertise in languages such as JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Demonstrating skill in at least one of these will strengthen your application.
- Can I work as an AI Trainer at DataAnnotation alongside a full-time job?
- Yes, the AI Trainer role at DataAnnotation is designed with flexibility in mind. Many team members successfully balance this work with full-time employment, choosing projects and schedules that fit their availability and personal goals.
- What are the location requirements for DataAnnotation's AI Trainer job?
- The AI Trainer position at DataAnnotation is fully remote and available to residents in the US, Canada, UK, Ireland, Australia, and New Zealand. If you are located outside of these countries, you will not see work or assessments available on their site.
- How is payment handled for AI Trainers at DataAnnotation?
- AI Trainers at DataAnnotation are paid hourly, with rates starting at $50-$100+/hr. Payment is processed via PayPal, and the company will never ask for money from you. PayPal handles any necessary currency conversions from USD.
- What kind of tasks will I be performing as an AI Trainer?
- As an AI Trainer, you will be responsible for designing and solving coding problems, writing code snippets and explanations, evaluating AI-generated code for accuracy and performance, and providing feedback to shape future AI models, with an emphasis on Android development.
- Is a degree required to become an AI Trainer at DataAnnotation?
- A bachelor’s degree, completed or in progress, is listed as a qualification for the AI Trainer role at DataAnnotation. While not strictly mandatory if you have the right experience, it is a noted preference.