About DataAnnotation
Sourced by ZipRecruiter
Industry
Computing infrastructure providers, data processing, web hosting and data services
Company size
10,000+ Employees
Headquarters location
New York, NY, US
$60/hr
Full-time
This job posting has expired and is no longer accepting applications. Check out similar jobs
Job description
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, up to $60 USD/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 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 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: 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. #J-18808-Ljbffr
dataannotation.tech
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A: To succeed as a Training Engineer, key technical skills include proficiency in instructional design methodologies, e-learning authoring tools (e.g., Articulate Storyline, Adobe Captivate), and learning management systems (LMS). Soft skills such as effective communication, project management, and adult learning theory knowledge are also crucial, as they enable the engineer to design engaging training content, manage training projects, and adapt to diverse learner needs. By combining these technical and soft skills, a Training Engineer can create high-quality training programs that drive business results and support career growth through opportunities for professional development and leadership.
Q: What is the career path for a Training Engineer?
A: A Training Engineer's career path typically begins with entry-level roles such as Training Coordinator or Instructional Designer, where they develop foundational skills in instructional design, adult learning theory, and training delivery. As they progress to mid-level roles like Training Manager or Learning Experience Designer, they gain experience in training program development, project management, and team leadership, while continuing to develop their technical skills in e-learning authoring tools and learning management systems. Senior roles such as Director of Learning and Development or Chief Learning Officer offer opportunities for strategic leadership, talent development, and organizational impact, allowing Training Engineers to leverage their expertise to drive business growth and innovation.
