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- Vagas
- 1
- Publicado
- há 6 horas
- Modo de trabalho
- Trabalhe em casa
- Elegibilidade
- All qualified candidates are welcome to apply regardless of their background, experience, or employment history. Selection is based solely on demonstrated technical skills and qualifications.
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Descrição da vaga
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.