Data Specialist (Remote)
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Key skills for this role
Role Overview
The role is Data Specialist, described in the overview as Human Data Manager, New Grad.
The position maintains high-quality datasets used in AI model training and evaluation.
The work includes refining data pipelines and annotation processes for machine learning applications.
Key Skills for This Role
Full Job Posting
Role Overview
The role is Data Specialist, described in the overview as Human Data Manager, New Grad.
The position maintains high-quality datasets used in AI model training and evaluation.
The work includes refining data pipelines and annotation processes for machine learning applications.
Key Responsibilities
- Review and validate human-labeled data for consistency and accuracy in AI training datasets.
- Identify and resolve annotation discrepancies by cross-referencing source materials and guidelines.
- Collaborate with cross-functional teams to refine annotation guidelines and data quality standards.
- Monitor and report data-labeling performance metrics to track progress and identify trends.
- Document processes and maintain records of data sources, labeling rules, and quality checks.
Required Skills and Qualifications
- Experience with data annotation, labeling, or quality assurance processes is preferred.
- Familiarity with basic data validation techniques and attention to detail in reviewing datasets.
- Ability to follow structured guidelines and maintain consistency in data-handling tasks.
- Basic understanding of AI/ML concepts and their relationship to high-quality training data is beneficial.
- Proficiency in spreadsheets or data management tools for tracking and organizing information.
Opportunity Context
The role contributes to reliable AI systems through precise data management in technology, information, and internet applications.
The position provides exposure to real-world data use in machine learning workflows.
Compensation
- Compensation is competitive and based on experience; no payment cadence is specified.
Workplace
- The position is remote and can be performed from anywhere.
Employment
- The job is full-time.
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