Data Collection Specialists

2 weeks ago

Aligarh, Uttar Pradesh, India beBeeResearch Full time ₹ 15,00,000 - ₹ 20,00,000

Raters for GenAI Data engage with GEN AI researchers and engineers to understand data collection/evaluation requirements.

  • Expand high-level requirements into a detailed workflow and communicate the same to a larger team.
  • Execute very quickly on collection & evaluation workflows with minimal supervision.
  • Innovate on data collection workflows to determine the most efficient way of achieving the researcher/engineer's goal.
  • 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.
  • Thoroughly evaluate content and provide detailed feedback to ensure high quality and informativeness.
  • Fact checking and accuracy verification (precision and recall). Meticulously verify the factual integrity of the content, ensuring accuracy and mitigating the risk of the LLM generating misinformation once trained with this data.
Key Responsibilities:
  • Engagement with GEN AI Researchers: Engage with GEN AI researchers and engineers to understand data collection/evaluation requirements.
  • Workflow Expansion: Expand high-level requirements into a detailed workflow and communicate the same to a larger team.
  • Quick Execution: Execute very quickly on collection & evaluation workflows with minimal supervision.
  • Innovation: Innovate on data collection workflows to determine the most efficient way of achieving the researcher/engineer's goal.
  • Collaboration: Collaborate with peers & cross-functional stakeholders to achieve maximum data throughput with highest quality.
  • Research: Conduct In-depth research using LLM models. Delve deep into specific domains to gather reliable and up-to-date information.
  • Evaluation: Thoroughly evaluate content and provide detailed feedback to ensure high quality and informativeness.
  • Fact Checking: Fact checking and accuracy verification (precision and recall). Meticulously verify the factual integrity of the content, ensuring accuracy and mitigating the risk of the LLM generating misinformation once trained with this data.

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