Remote AI Code Scientist & Trainer

DataAnnotation

Oklahoma City (OK)

Remote

USD 83,000 - 138,000

Full time

42 hours ago
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Benefits offered by this job

Fully remote work
Competitive hourly pay (up to $100+)
Performance-based opportunities

Job summary

DataAnnotation is a fully remote platform that hires worldwide, offering projects designed to train AI through coding challenges and high-quality code explanations. You can select projects and set your own schedule, enjoying flexible remote work with competitive pay and performance-based opportunities.

The role emphasizes clear coding, thorough explanations, and critical assessment of AI-generated code to help improve model training across languages like C#, Java, Python, and more.

Qualifications

  • Native or bilingual-level fluency in English is required.
  • Proficiency in at least one programming language or framework is required.
  • Bachelor's degree (completed or in progress) is required.
  • Prior experience as a Software Developer/Engineer is preferred.
  • Location: US, Canada, UK, Ireland, Australia, or New Zealand only.

Responsibilities

  • Design and solve a wide range of coding challenges used to train AI systems.
  • Write clear, well-structured code examples and thorough explanations.
  • Assess AI-generated code for correctness, efficiency, and readability.
  • Provide feedback to improve future AI models.

Skills

English fluency
Programming languages

Education

Bachelor's degree

Tools

C#
Java
JavaScript
Kotlin
Python
React
Swift
TypeScript

Job description

DataAnnotation is a fully remote platform that hires worldwide, offering projects designed to train AI through coding challenges and high-quality code explanations. You can select projects and set your own schedule, enjoying flexible remote work with competitive pay and performance-based opportunities.

The role emphasizes clear coding, thorough explanations, and critical assessment of AI-generated code to help improve model training across languages like C#, Java, Python, and more.

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