Data Annotation Specialist
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Job Description
Data Annotation Specialist improving AI data quality for Docplanner’s global healthcare platform. Automating QA workflows, managing Label Studio projects, and coordinating freelance annotators.
Responsibilities:
- Design, automate, and run QA workflows, including sampling, metrics, quality dashboards, and throughput reporting
- Build and maintain labelling interfaces in Label Studio when needed
- Configure annotation projects and refine layouts to make annotation faster and less error-prone
- Write, organize, and maintain annotation guidelines and project documentation
- Source, onboard, and coordinate freelance annotators with the AI Annotations Lead
- Track deadlines, follow up on deliverables, answer annotator questions, and keep projects moving
- Turn annotation output and project data into concise summaries for the Lead and stakeholders
- Support data analysis and reporting on project health and quality
- Participate in designing programs to validate AI-system quality
Requirements:
- Comfortable working with data
- Ability to build spreadsheet models
- Ability to calculate and interpret quality or agreement metrics
- Eagerness to use, or existing experience with, light Python and pandas for automating checks
- Strong written communication and structured thinking
- Proven follow-through coordinating people or projects to deadlines
- Ability to work self-directed and independently
- Fluent English
- Working fluency in at least one of Italian, Portuguese, or Polish
- Legal right to work in the country of residence or role location
- Visa sponsorship is unavailable
Benefits:
- Healthcare insurance
- Wellness support, including gym memberships and mental health support
- Paid time off, vacation days, birthday leave, and recharge days
- Local benefits depending on location, such as meal vouchers, transport allowances, or extended parental leave
- Career growth, learning, development, and cross-functional project opportunities
- Diverse and inclusive global work environment
- Remote work and flexible hours
- Access to company hubs/offices if preferred
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