Data Quality Analyst

About the role

As a Data Quality Analyst, you are responsible for ensuring the accuracy and consistency of annotated data for machine learning projects. You will collaborate with annotators, data scientists, and domain experts to maintain high quality standards and improve annotation processes.

Responsibilities

• Review annotated data for compliance with established guidelines and standards.
• Identify and correct errors, inconsistencies, and inaccuracies in annotated data.
• Measure and report on quality metrics such as accuracy, precision, and inter-annotator agreement.
• Collaborate with the annotation team to provide feedback and training to increase quality standards.
• Monitor and report on anomalies or outliers in the data.
• Participate in the continuous improvement of annotation processes and guidelines.
• Collaborate with data scientists and domain experts to ensure annotated data meets requirements.
• Use prompting techniques to support data annotation.

Required skills

• Data analysis
• Data validation
• Communication
• Prompting

Nice to have

• Machine learning concepts
• Data annotation
• Operations
• Controlling

Benefits

• Ergonomic workspace
• Flexible working hours
• Workation
• Teamevents
• Urban Sports Club membership
• Annual learning budget
• Deutschlandticket
• JobRad
• Social days

About the Company

Workist GmbH operates from a six-story office in Berlin featuring a lounge, recreational facilities, and a collaborative environment.