Data Specialist

Role Overview

We are searching for a Human Data Manager to join on a full-time remote basis. The primary responsibility is to maintain and ensure high-quality datasets essential for AI model training and evaluation. This includes verifying accuracy and relevance of labeled information while assisting in enhancing data pipelines and annotation processes for machine learning tasks.

Key Responsibilities

• Examine and verify human-labeled data to guarantee consistency and precision within AI training datasets
• Detect and address inconsistencies in data annotations by comparing against source materials and instructions
• Work closely with cross-disciplinary teams to update annotation guidelines and elevate data quality standards
• Track and report on labeling performance metrics to monitor progress and uncover patterns
• Support documentation efforts pertaining to data sources, labeling protocols, and quality assurance checks

Required Skills & Qualifications

• Previous involvement or familiarity with data annotation, labeling, or quality control processes is advantageous
• Knowledge of basic data validation techniques coupled with a strong attention to detail in dataset review
• Capability to adhere to structured guidelines ensuring consistent data handling
• Basic comprehension of AI and machine learning concepts and their reliance on quality training data is beneficial
• Competency in spreadsheet or data management applications for organizing and tracking information

Additional Information

This opportunity allows collaboration with a global leader in Technology, Information, and Internet industries, contributing directly to dependable AI system development through meticulous data oversight. Applicants from all backgrounds are encouraged to apply as hiring is merit-based focusing solely on skills and qualifications.