Data Specialist (Remote)

Role Summary

We are searching for a Data Specialist to work remotely on a full-time basis focusing on maintaining high-quality datasets essential for AI model training and evaluation. The role emphasizes accuracy and relevance of human-labeled data and involves enhancing data pipelines and annotation methods for machine learning tasks.

Key Duties

• Conduct thorough reviews and validation of human-labeled data to guarantee uniformity and precision in AI training datasets.
• Detect and address inconsistencies in data annotations by comparing against original source materials and guidelines.
• Collaborate with multiple teams to update annotation protocols and elevate data quality standards.
• Track and present data labeling metrics to monitor progress and uncover patterns.
• Support documentation efforts including maintaining records of data sources, labeling policies, and quality assurance processes.

Required Skills and Qualifications

• Prior experience in data annotation, labeling, or quality assurance preferred.
• Familiarity with fundamental data validation methods and meticulous attention to detail in dataset examination.
• Capability to adhere to structured guidelines ensuring consistency in data-related responsibilities.
• Basic knowledge of artificial intelligence and machine learning, particularly the significance of quality training data.
• Competence in spreadsheet software or data management tools for organizing and tracking information.

Additional Information

This is an excellent chance to collaborate with a prominent global company in the Technology, Information, and Internet sector, contributing to the development of dependable AI systems through meticulous data handling. The position grants hands-on exposure to real-world machine learning data workflows.

Equal Opportunity Statement

We commit to inclusive hiring based strictly on skills and qualifications. All eligible applicants are encouraged to apply regardless of background or previous job history.