Full Stack AI Developer

DataAnnotation

New York (NY)

On-site

USD 104,000 - 208,000

Full time

21 hours ago
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Job summary

DataAnnotation in New York is seeking a skilled software developer to design and solve coding challenges used to train AI systems. You will write clean, high-quality code examples and provide thorough explanations.

The role requires strong English communication, proficiency in at least one major language/framework, and a bachelor’s degree. You will evaluate AI-generated code for correctness, efficiency, and readability, contributing to ongoing AI training initiatives.

Qualifications

  • Fluent English communication at native or bilingual level.
  • Proficiency in at least one of: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
  • Strong writing ability with good grammar and clear expression.
  • Bachelor's degree completed or in progress.

Responsibilities

  • Design and solve a wide range of coding challenges used to train AI systems.
  • Write clean, high-quality code examples with thorough explanations.
  • Assess AI-generated code for correctness, efficiency, and readability.

Skills

English fluency
JavaScript
TypeScript
Python
C
C++
Java
Go
Swift

Education

Bachelor's degree

Job description

Salary:

$104,000 - 208,000 per year

Requirements:
  • We require fluent English communication at a native or bilingual level.
  • We require proficiency in at least one of the following languages or frameworks: JavaScript, TypeScript, Python, C, C#, C++, React, Go, Java, Kotlin, or Swift.
  • We require strong writing ability, including solid grammar and clear expression.
  • We require a bachelors degree, either completed or currently in progress.
  • We prefer prior experience as a Software Developer, Coder, Software Engineer, or Programmer.
  • We require candidates to be located in the United States, Canada, the United Kingdom, Ireland, Australia, or New Zealand.
Responsibilities:
  • We design and solve a wide range of coding challenges used to train AI systems.
  • We write clean, high-quality code examples along with thorough explanations.
  • We assess AI-generated code for correctness, efficiency, and readability.
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