Data Quality Specialist
Team: Research
Location: Paris
Commitment: Full-time
Workplace Type: onsite
Key Responsibilities
- Create high-quality data annotations, based on guidelines and continuous feedback, for the development and evaluation of AI models
- In collaboration with the technical team, review/audit annotations in order to clarify requirements and share insights that improve annotation processes, tools, and guidelines
About you
- Relevant academic background (science, technology, engineering, mathematics)
- Professional proficiency in English, with 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
- Passionate about and committed to learning new tools and technologies
Nice to have
- Proven track record working with data
- Fluency in multiple languages
- Experience with code
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