Highly Skilled Data Analyst

3 days ago

Gulbarga, Karnataka, India beBeeDataExpert Full time ₹ 12,00,000 - ₹ 15,00,000
Job Title: Query Vetters

We are seeking a highly skilled Query Vetter to engage with GEN AI researchers and engineers to understand data collection/evaluation requirements.

Key Responsibilities:
  • Work closely with GEN AI researchers and engineers to comprehend data collection/evaluation needs.
  • Transform high-level requirements into detailed workflows, communicating these effectively to larger teams.
  • Execute data collection and evaluation workflows quickly with minimal supervision.
  • Innovate on data collection methods to determine the most efficient way to achieve researcher/engineer goals.
  • Collaborate with peers and cross-functional stakeholders to maximize data throughput while maintaining high quality.
  • Conduct in-depth research using LLM models, gathering reliable and up-to-date information from specific domains.
  • Evaluate content thoroughly, providing detailed feedback to ensure high quality and informativeness.
  • Assess original and curated content for LLM evaluation and training, as well as model responses to complex problems that current models cannot answer correctly.
  • Fact-check and verify accuracy (precision and recall), meticulously ensuring factual integrity and mitigating the risk of misinformation.
Required Qualifications & Experience:
  • Language Proficiency: Native or Bilingual Proficiency in Hindi, or Full Professional Proficiency in reading and writing, is required.
    • Educational Background:
    • Graduate with distinction, demonstrating deep cultural knowledge.
    • Top-tier US and international university or institute graduate.
    Core Competencies & Skills:
    • Exceptional Reading and Writing Proficiency in target languages, including mastery of grammar, syntax, style, and ability to produce clear, concise content across formats.
    • Strong Research and Fact-Checking skills, identifying credible sources and verifying information for accuracy.
    • Attention to Detail: precision in language, accuracy in data presentation, and thorough proofreading.
    • Effective Communication: articulating ideas clearly, actively listening, collaborating with teams, and conveying complex information to diverse audiences.
    • Foundational understanding of AI principles, machine learning, deep learning, NLP, and how LLMs work.
    • Prompt Review: identifying characteristics of effective prompts for desired outputs from LLM models.
    • Familiarity with AI Tools: experience using writing assistants and platforms to generate, refine, and optimize content.
    • Ethical AI Awareness: understanding potential biases and promoting responsible use.
    • Data Literacy: working with data, including understanding collection, preparation, cleaning, and transformation for LLM training.

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