Careers
Lead Data Annotation Manager
We’re looking for a Lead Data Annotation Manager to oversee our clinical data labeling workflows that power custom AI models for rare genetic and neurological syndromes. This is a full-time, on-site role in Kathmandu, ideal for someone who excels at operations, quality control, and managing high-impact data teams in healthcare or research settings.
Kathmandu
Full-Time
🎯 Responsibilities
Annotation & Quality Management
Define and enforce data annotation guidelines, schemas, and QA standards
Monitor data quality and lead regular audits and error reviews
Track labeling metrics and maintain milestone documentation
Team Leadership & Collaboration
Assign tasks, supervise daily progress, and support a growing team of annotators
Provide training and feedback under strict security and privacy protocols
Coordinate with clinical experts, ML engineers, and product managers
Project Delivery & Oversight
Maintain clear reporting on progress, blockers, and KPIs
Suggest workflow improvements and tooling optimizations
Ensure all labeling meets timelines and compliance standards
💼 Requirements
2+ years of experience in data operations, QA, or project coordination
Strong organizational, communication, and spreadsheet skills
Familiarity with tools like Label Studio, Doccano, or similar platforms
Experience with clinical, medical, or research datasets preferred
Comfortable in a fast-paced, mission-driven startup setting
🌍 Work Environment
💻 On-site in Kathmandu, Nepal
🕒 Full-time: 40 hours/week
📈 Direct collaboration with founders, engineers, and clinical partners
🤝 Opportunity to shape data infrastructure and grow into leadership
🎁 Bonus if you have:
Experience with HIPAA/GDPR compliance
Worked with medical ontologies or structured health data
Project management certifications (e.g., PMP, Scrum)