We are looking for an existing Machine Learning Scientist - AI Trainer to help advance AI development. As a member of DataAnnotation's Software Engineering team, you'll be part of a growing community of over 100,000 professionals, including front-end, back-end, full-stack, machine learning, DevOps, and other software 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 on programming tasks such as creating and solving complex coding problems, building applications with rich functionality, debugging and improving code, and synthesizing insights through data analysis and visualization. Your work directly contributes to refining intelligent systems that learn, adapt, and evolve.

Some contributors fit this work alongside a full-time role, while others make it their primary focus, choosing projects and schedules that align with their availability and goals.

To get started, you'll create an account and complete a short assessment, which serves as our version of an interview. If you pass the assessment, you'll receive an email confirmation and gain access to paid projects through our platform.

Advantages of contracting with us:

Choose which projects you want to work on and when.
Work with state-of-the-art and unreleased AI coding agents.
Work on your own schedule, using your own computer, from the comfort of your home.
Projects are paid hourly up to $40-$150+/hr, with higher rates available for certain projects.

Responsibilities:

Create and work with coding environments, unit tests, and verifiers.
Design and solve diverse coding problems used to train AI systems.
Write clear, high-quality code and technical explanations.
Evaluate model trajectories for accuracy, performance, readability, and best practices.
Identify bugs, edge cases, and opportunities for improvement in AI-generated solutions.
Provide structured feedback that helps improve the next generation of AI models.

Qualifications:

Fluency in English (native or bilingual level).
Proficiency in at least one modern programming language, such as Python, JavaScript, TypeScript, Java, C, C#, C++, Go, Kotlin, Swift, or React.
Strong software engineering fundamentals, including problem-solving, debugging, and code review.
Excellent written communication skills.
A bachelor's degree (completed or in progress).
Previous experience as a Software Engineer, Software Developer, Programmer, Full-Stack Engineer, Front-End Engineer, Back-End Engineer, or similar technical role 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. This is an independent contractor position.

DataAnnotation jobs

Machine Learning Scientist - AI Trainer

Machine Learning Scientist - AI Trainer

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