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NLP Engineer - LLM data trainer

Job Description

Location: Remote

Job Summary:

We are in search of an innovative NLP Engineer - LLM Data Trainer to join our dynamic team. This role focuses on enhancing the quality of AI-generated datasets, ensuring high performance and accuracy in AI models across diverse programming domains. If you have a passion for NLP engineering and a meticulous eye for detail, we would love to hear from 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:

  • Proven experience with LangChain v2 and LlamaIndex.
  • Strong understanding of vector databases like ChromaDB.
  • Knowledge of retrieval-augmented generation (RAG) and AI memory models.
  • Ability to validate and enhance LangChain-related AI queries.
  • Excellent written and verbal communication skills.
  • Detail-oriented with a strong ability to identify and correct errors.

Preferred Qualifications:

  • Experience in code review and data annotation.
  • Familiarity with multiple programming languages and frameworks.
  • Prior experience in AI dataset management and improvement.

Skills

  • Data Annotation
  • Programming Languages
  • AI
  • ML
  • Data Scientists

Education

  • Master's Degree
  • Bachelor's Degree

Job Information

Job Posted Date

Mar 07, 2025

Experience

4 to 7 Years

Compensation (Annual in Lacs)

₹ Market Standard

Work Type

Permanent

Type Of Work

8 hour shift

Category

Information Technology

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