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Role Overview

This opportunity is for a Data Specialist to join as a Human Data Manager working remotely on a full-time basis. The main focus is on maintaining and enhancing high-quality datasets crucial for AI model training and evaluation, ensuring that labeled data is accurate and consistent. The position involves improving data pipelines and annotation procedures for machine learning projects.

Key Responsibilities

Validate and review human-labeled data to maintain consistency and accuracy in AI training datasets
Detect and correct annotation discrepancies by cross-checking source materials and established guidelines
Work closely with diverse teams to enhance annotation guidelines and uphold data quality standards
Track data labeling performance metrics to monitor progress and identify patterns
Support documentation efforts, keeping detailed records of data sources, labeling criteria, and quality assurance activities

Required Skills and Qualifications

Preferably experienced in data annotation, labeling, or quality assurance procedures
Strong attention to detail and familiarity with basic data validation methods
Capability to adhere to structured guidelines and ensure uniformity in data processing tasks
Basic knowledge of AI and machine learning concepts and their reliance on dependable training data
Competence in using spreadsheets or data management platforms to organize and monitor information

About the Opportunity

This position offers a chance to contribute to a leading global technology organization by managing data critical for AI system reliability. The role provides insight into practical data applications within machine learning workflows.

Equal Opportunity Employer

Hiring decisions are based strictly on skills and qualifications. All applicants meeting the necessary criteria are encouraged to apply, regardless of background or prior job experience.

Data Specialist (Remote)