Data Specialist (Remote)

Role Overview

This full-time Data Specialist position involves managing and maintaining high-quality datasets essential for training and evaluating AI models. The specialist will ensure data accuracy and relevance by reviewing and validating human-labeled information, contributing to improved machine learning outcomes.

Key Responsibilities

• Review human-annotated data to confirm consistency and precision in AI training datasets.
• Detect and resolve annotation mismatches by cross-verifying source materials and guidelines.
• Collaborate with diverse teams to refine annotation standards and enhance data quality.
• Track and report data labeling performance metrics to observe progress and uncover trends.
• Document procedures and maintain detailed records of data sources, labeling criteria, and quality checks.

Required Skills & Qualifications

• Previous experience in data annotation, labeling, or quality assurance processes is preferred.
• Strong attention to detail and familiarity with basic data verification methods.
• Ability to adhere to structured guidelines consistently during data processing tasks.
• Basic knowledge of AI and machine learning principles and the role of high-quality training datasets.
• Proficiency in spreadsheet usage or data management tools for tracking and organizing data.

Additional Information

This role provides a unique chance to work with a leading global company in the Technology, Information, and Internet sectors, contributing to dependable AI system development through meticulous data management. It offers exposure to practical applications of data within machine learning processes.

Equal Opportunity Statement

The employer is committed to hiring based on skills and qualifications, welcoming applicants regardless of background, experience, or prior employment. Candidate selection is solely based on demonstrated technical capabilities.