Enterprise AI Data Specialist

7 days ago


Anaheim, California, United States Insight Global Full time
Job Summary:
  We are seeking a skilled Enterprise AI Data Specialist to join our team at Insight Global. As an AI Data Trainer, you will play a crucial role in developing custom datasets for training specialized models to enable enterprise solutions using cutting-edge language model capabilities.
  About the Role:
  In this position, you will collaborate with engineering and product teams to lead the creation of custom datasets for training specialized models. Your responsibilities will include defining annotation tasks, coordinating resourcing, reviewing annotated data for quality, and developing labeled data assets according to annotation guides.
  Key Responsibilities:
  
  • Collaborate with Data Science and Product teams to define annotation tasks and review annotated data for quality
  • Develop and disseminate data labeling best practices learned from building enterprise solutions using LLMs
  • Develop labeled data assets according to annotation guides to train and evaluate LLMs in collaboration with Machine Learning Engineers for real-world use cases
  • Collaborate with centralized data and evaluation teams on specialized collection protocols, UIs, and instructions for diverse and creative human annotation tasks

  Requirements:
  Must Haves:
  
  • Bachelor's degree in Linguistics, Library Science, or a related field (open to non-traditional backgrounds as well)
  • Experience with ontology development and information domain modeling
  • Experience labeling conversational text for analysis as AI trainers
  • Experience with AI interaction, such as prompt generation and open AIs
  • Experience running and managing human annotation jobs for large-scale data collection with quality control and best practices for human annotation
  • Proficiency with SQL, terminal, and command line
  • Proficiency with Jupyter notebooks
  • Ability to follow complex instructions, navigate ambiguity, and work independently
  • Detail-oriented disposition and clear, concise communication skills
  • Curiosity about technology and knack for tackling problems in creative ways

  Desirable Qualifications:
  
  • Proficiency in Japanese
  • Experience developing labeled data assets according to annotation guides to train and evaluate LLMs in collaboration with ML Engineers for real-world use cases
  • Experience collaborating with centralized data and evaluation teams on specialized collection protocols, UIs, and instructions for diverse and creative human annotation tasks

  Compensation:
  $25.00/hour

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