Data Specialist 

Job Description

Responsibilities:

Review and validate human-labeled data to ensure consistency and accuracy for AI training datasets

Identify and resolve discrepancies in data annotations by cross-referencing source materials and guidelines

Collaborate with cross-functional teams to refine annotation guidelines and improve data quality standards

Monitor and report on data labeling performance metrics to track progress and identify trends

Assist in documenting processes and maintaining records of data sources, labeling rules, and quality checks

Required Skills & Qualifications:

Experience with data annotation, labeling, or quality assurance processes is preferred

Familiarity with basic data validation techniques and attention to detail in reviewing datasets

Ability to follow structured guidelines and maintain consistency in data handling tasks

Basic understanding of AI/ML concepts and their dependence on high-quality training data is beneficial

Proficiency in using spreadsheets or data management tools to track and organize information

More About the Opportunity:

This role offers a unique opportunity to work with a global leader in the Technology, Information and Internet industry, contributing to the development of reliable AI systems through precise data management. The position provides exposure to real-world applications of data in machine learning workflows

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