Content Review Specialist

2 weeks ago

Shimoga, Karnataka, India beBeeResearch Full time ₹ 90,00,000 - ₹ 1,20,00,000

Raters work with AI researchers and engineers to understand data collection/evaluation needs.

Key Responsibilities:
  • Work with AI researchers and engineers to comprehend data collection/evaluation requirements.
  • Expand high-level needs into a detailed process and share it with a broader team.
  • Execute efficiently on collection & evaluation workflows with minimal supervision.
  • Innovate on data collection workflows to determine the most efficient method of achieving the researcher/engineer's objective.
  • Collaborate with peers & cross-functional stakeholders to achieve maximum data throughput with highest quality.
  • Conduct in-depth research using LLM models. Delve deep into specific domains to gather reliable and up-to-date information.
  • Evaluate content thoroughly and provide detailed feedback to ensure high quality and informativeness.
  • Fact-checking and accuracy verification (precision and recall).

Required Qualifications & Experience:

  • Bilingual Proficiency or Full Professional Proficiency in reading and writing in Hindi - Native of India.
    • Educational Background: Graduate with distinction with deep cultural knowledge.
    • Graduated from a top-tier US and international university or institute.

Core Competencies & Skills:

  • Excellent Reading and Writing Proficiency in the target language: Mastery of grammar, syntax, style, and the ability to produce clear, concise, and engaging content across various formats.
  • Strong Research and Fact-Checking: Ability to conduct in-depth research, identify credible sources, and meticulously verify information for accuracy.
  • Attention to Detail: Precision in language, accuracy in data presentation, and thorough proofreading to deliver polished, error-free work.
  • Communication Skills: Ability to articulate ideas clearly, actively listen, collaborate effectively with teams, and convey complex information to diverse audiences.
  • Understanding of AI and LLMs: A foundational understanding of AI principles, machine learning, deep learning, natural language processing (NLP), and how LLMs work.
  • Prompt Review: Proficiency in identifying characteristics of effective and precise prompts that generate desired outputs from LLM models.
  • Familiarity with AI Tools: Experience using AI writing assistants and platforms to generate, refine, and optimize content.
  • Ethical AI Awareness: Understanding potential biases in AI systems and the ethical implications of AI-generated content.
  • Data Literacy: Ability to work with data, including understanding data collection, preparation, cleaning, and transformation for LLM training.

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