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Game Developer - LLM Data trainer

Job Description

Location: Remote

Job Summary:

We are looking for a highly skilled Game Developer to join our team as a LLM Data trainer. In this unique role, you will validate and enhance AI-generated datasets across multiple programming domains, with a focus on providing high-quality labeled data for AI models. If you have a strong background in game development using C# and Godot, and a passion for AI, this could be the perfect opportunity for you.

Key Responsibilities:

  • Review AI-generated queries for accuracy, clarity, and relevance across various programming languages and frameworks.
  • Validate and correct misleading or incorrect AI-generated responses.
  • Ensure grammatical accuracy, logical structure, and coherence in queries.
  • Categorize queries based on difficulty level and topic area.
  • Provide constructive feedback to refine AI query generation processes.
  • Collaborate with data scientists, machine learning engineers, and AI trainers to improve dataset quality.
  • Maintain consistency in annotation standards and validation methodologies.

Required Skills and Qualifications:

  • Bachelor's or Master’s degree in Computer Science, Software Engineering, AI, or a related field.
  • 4-7 years of experience in at least one of the listed domains.
  • Strong knowledge of Godot Engine (v4) and C# scripting.
  • Experience in game development and physics simulation.
  • Strong analytical skills and attention to detail.
  • Excellent communication and documentation skills.
  • Ability to review and annotate game AI-related datasets.

Preferred Qualifications:

  • Passion for AI development and improving large language model training datasets.
  • Ability to work independently and as part of a collaborative team.
  • Strong problem-solving abilities and a logical mindset.

Skills

  • C#.
  • AI
  • Documentation
  • Programming Languages
  • Problem Solving

Education

  • Master's Degree
  • Bachelor's Degree

Job Information

Job Posted Date

Mar 07, 2025

Experience

4 to 7 Years

Compensation (Annual in Lacs)

Best in the Industry

Work Type

Permanent

Type Of Work

8 hour shift

Category

Information Technology

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