Data Review Specialist

19 hours ago

Tiruppur, Tamil Nadu, India beBeeDataReview Full time ₹ 6,00,000 - ₹ 10,00,000
Data Review Specialist

Ratings are crucial for assessing the quality and accuracy of data used to train Generalized Artificial Intelligence (Gen AI) models. As a Data Review Specialist, you will play a vital role in evaluating the reliability of data.

Key Responsibilities:
  • You will collaborate with GEN AI researchers and engineers to understand data collection/evaluation requirements, translate high-level demands into detailed workflows, and communicate them effectively to larger teams.
  • Execute data collection and evaluation workflows quickly, often with minimal supervision, while innovating on data collection methods to determine the most efficient way to achieve researcher or engineer goals.
  • Conduct in-depth research using Large Language Model (LLM) models, gathering reliable and up-to-date information from specific domains.
  • Evaluate content thoroughly, providing detailed feedback to ensure high quality and informativeness.
  • Fact-check and verify accuracy, meticulously ensuring the factual integrity of the content and mitigating the risk of LLM-generated misinformation once trained.
Required Skills & Qualifications:
  • You should have native or bilingual proficiency in Hindi and be a native of India.
  • A graduate with distinction, demonstrating deep cultural knowledge, from top-tier US and international universities or institutes.
Core Competencies & Skills:
  • Exceptional reading and writing proficiency in target languages, including mastery of grammar, syntax, style, and ability to produce clear, concise content.
  • Strong research and fact-checking skills, with the ability to identify credible sources and meticulously verify information.
  • Attention to detail, precision in language, and thorough proofreading to deliver polished, error-free work.
  • Effective communication and collaboration skills, articulating complex ideas clearly and conveying information to diverse audiences.
  • Foundational understanding of AI principles, machine learning, natural language processing, and how LLMs work, including their capabilities and limitations.
  • Prompt review skills, identifying characteristics of effective and precise prompts that generate desired outputs from LLM models.
  • Familiarity with AI tools and platforms for generating, refining, and optimizing content.
  • Ethical AI awareness, understanding potential biases and promoting responsible use.
  • Data literacy, working with data collection, preparation, cleaning, and transformation for LLM training.

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