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Data Quality Analyst

Insight Global | San Francisco, United States | Posted June 08, 2026

Position Overview

Job Description
Their day to day includes accurately labeling machine learning textual data to refine AI models. This will primarily involve annotating large volumes of textual data according to predefined guidelines. This person must be able to read, write and summarize at a high volume and high accuracy. The Pre-screening tests typing speed (45-60wpm), reading comprehension and pattern recognition. Finding those who are sharp and can navigate ambiguous technical jargon would be a great fit for the role.
Day to Day Responsibilities
Accurately label machine learning data through various methods to refine AI models. This will primarily involve annotating large volumes of textual data according to predefined guidelines.
Collaborate with team members to identify improvements to the labelling interface or labelling processes in order to drive efficiency and high-quality.
Complete assignments by deadlines while meeting team expectations and goals.

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