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Data Engineer - AI Trainer at DataAnnotation

Position Data Engineer - AI Trainer
Posted 03 Mar 2026
Expired 02 Apr 2026
Company DataAnnotation
Location Menlo Park | US
Job Type Full Time

Job Description:

Latest job information from DataAnnotation for the position of Data Engineer - AI Trainer. If the Data Engineer - AI Trainer vacancy in Menlo Park matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.

Please note that applying for a job may not always be easy, as new candidates must meet certain qualifications and requirements set by the company. We hope the career opportunity at DataAnnotation for the position of Data Engineer - AI Trainer below matches your qualifications.

Join the DataAnnotation team and contribute to developing cutting-edge AI systems, while enjoying the flexibility of remote work and setting your own schedule. Are you the right candidate for this opportunity Make sure to read the full description below. We are looking for a proficient *Data Engineer* 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 $40+ USD per hour. 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. * 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). * Proficiency in at least one of the following programming languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, 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. xawqmyg Those located outside of these countries will not see work or assessments available on our site at this time. #INDCODPRE Job Type: Contract Pay: From $40.00 per hour Work Location: Remote

Job Info:

  • Company: DataAnnotation
  • Position: Data Engineer - AI Trainer
  • Work Location: Menlo Park
  • Country: US

How to Submit an Application:

After reading and understanding the criteria and minimum qualification requirements explained in the job information Data Engineer - AI Trainer at the office Menlo Park above, immediately complete the job application files such as a job application letter, CV, photocopy of diploma, transcript, and other supplements as explained above. Submit via the Next Page link below.

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