Data Annotation Quality Specialist

Mistral AI Mistral AI · AI Frontier · Paris, France · Research

This role focuses on creating and auditing human data annotations to ensure the quality and efficiency of data used for training and evaluating AI models. It involves collaborating with technical teams to refine annotation processes and guidelines.

What you'd actually do

  1. Create high-quality data annotations, based on guidelines and continuous feedback, for the development and evaluation of AI models
  2. In collaboration with the technical team, review/audit annotations in order to clarify requirements and share insights that improve annotation processes, tools, and guidelines

Skills

Required

  • strong analytical skills
  • keen eye for detail
  • professional proficiency in English
  • strong writing and comprehension skills
  • Outstanding research and analytical skills
  • Exercises great judgement with complex instructions, limited data, and/or multiple information sources
  • Excellent communication, interpersonal, and organizational abilities
  • Adapts easily to dynamic environments and changing requirements
  • Appetite for operational work and high tolerance for repetitive tasks

Nice to have

  • Proven track record working with data
  • Fluency in multiple languages
  • Experience with code

Other signals

  • data annotation
  • audit annotations
  • improve annotation processes