SDLC Engineer - AI Trainer
DataAnnotation · Texas, United States
- Hybrid
- Full-time
- $100,000 / year
- Texas, United States
Job highlights
- Remote AI training role for skilled programmers.
- Develop cutting-edge AI systems with flexible schedule.
- Solve coding problems and refine AI models.
- Earn competitive pay $50-$100+/hr.
- Shape the future of AI technology.
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.
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
- SDLC Engineer
- AI Trainer
- Android Development
- Kotlin
- Python
- JavaScript
- TypeScript
- Software Development
- Programming
- AI Systems
Skills & topics
- SDLC Engineer
- AI Trainer
- AI Development
- Android Development
- Kotlin
- Python
- JavaScript
- Software Engineer
- Programmer
- Remote Work
How to get hired
- Take the assessment: Complete the short online assessment as your primary interview.
- Demonstrate skills: Showcase proficiency in required programming languages and English.
- Highlight experience: Emphasize any software development or AI-related background.
- Check eligibility: Ensure you are located in the US, Canada, UK, Ireland, Australia, or New Zealand.
Technical preparation
Behavioral questions
Frequently asked questions
- What is the application process for an SDLC Engineer AI Trainer at DataAnnotation?
- The application process for an SDLC Engineer AI Trainer at DataAnnotation is straightforward. After signing up, you will complete a short assessment, which serves as the interview. Passing this assessment will lead to an email confirmation, after which paid work will become available on the platform.
- What programming languages are required for the SDLC Engineer AI Trainer role at DataAnnotation?
- While experience in Kotlin is preferred, proficiency in at least one of the following is required for the SDLC Engineer AI Trainer role: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, or Swift. Fluency in English and strong writing skills are also essential.
- Can I work as an SDLC Engineer AI Trainer at DataAnnotation if I am not in the US?
- The SDLC Engineer AI Trainer position is currently only available to individuals located in the US, Canada, UK, Ireland, Australia, and New Zealand. If you are outside these regions, you will not see work or assessments available on the DataAnnotation platform at this time.
- What is the expected pay for an SDLC Engineer AI Trainer at DataAnnotation?
- DataAnnotation offers competitive hourly pay for its SDLC Engineer AI Trainer projects, starting at $50-$100+/hr. Opportunities for higher-paying projects are available based on strong performance and the complexity of the tasks assigned.
- Is the SDLC Engineer AI Trainer position at DataAnnotation a remote role?
- Yes, the SDLC Engineer AI Trainer position at DataAnnotation is a fully remote role. You can work from anywhere within the US, Canada, UK, Ireland, Australia, and New Zealand, and you have the flexibility to set your own schedule.
- What kind of projects will I work on as an SDLC Engineer AI Trainer for DataAnnotation?
- As an SDLC Engineer AI Trainer, you will design and solve diverse coding problems to train AI systems, with an emphasis on Android development. This includes writing code snippets, providing detailed explanations, and evaluating AI-generated code for accuracy and performance.
- What qualifications are needed to become an AI Trainer at DataAnnotation?
- To become an AI Trainer at DataAnnotation, you need fluency in English, strong writing and grammar skills, and a bachelor’s degree (completed or in progress). Preferred qualifications include experience in Kotlin and proficiency in other programming languages like Python, JavaScript, or Java. Previous software development experience is also preferred.