Experimental Physicist

New Today

Overview

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 a proficient Data Scientist 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.

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 (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.

Benefits and notes: 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 with opportunities for higher-paying projects based on performance. Impact: help shape the future of AI technologies.

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.

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Location:
Bristol, England, United Kingdom
Salary:
£80,000 - £100,000
Job Type:
FullTime
Category:
Engineering

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