Data Quality Specialist

2 weeks ago


London, Greater London, United Kingdom Cohere Full time
About the Role

We are seeking a highly skilled Data Quality Specialist to join our team at Cohere. In this role, you will be responsible for annotating and improving large language model data, ensuring its accuracy and quality.

As a Data Quality Specialist, you will work with advanced proficiency in Portuguese, labeling and ranking machine learning data, auditing and correcting inaccuracies, and completing reading and text-based assignments with high attention to detail.

You will be part of a team of researchers, engineers, designers, and more who are passionate about their craft and believe that a diverse range of perspectives is essential for building great products.

Key Responsibilities
  • Label and Rank: Accurately label and rank machine learning data with advanced proficiency in Portuguese.
  • Audit and Correct: Scrutinize and rectify any inaccuracies in language data.
  • Reading and Text-Based Tasks: Efficiently complete reading and text-based assignments.
  • Preference-Based Tasks: Evaluate and complete tasks assessing which responses in Portuguese best conform to our style guide.
  • Recommend Optimizations: Identify and suggest opportunities for improving data quality and model performance in Portuguese language tasks.
  • Provide Feedback: Collaborate and communicate effectively, providing feedback to cross-functional team members.
  • Detail-Oriented Execution: Maintain meticulous attention to detail while performing repetitive and precise tasks.
Requirements
  • Language Proficiency: Native or near-native proficiency in Portuguese; excellent command over English.
  • Expert reading and writing skills.
  • Strong attention to detail and commitment to accuracy.
  • High tolerance for repetitive and monotonous work.
  • Ability to follow complex instructions, navigate ambiguity, and work independently.
  • Superb sense of urgency and time management.
  • Curiosity about technology and a knack for tackling problems in creative ways.


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