
Manager, Human Data Operations
Posted 3 hours ago

Posted 3 hours ago
This is a fully remote position, open to applicants in North America.
β’ Take full ownership of quality and delivery for essential Human Data initiatives, ensuring accuracy, consistency, and adherence to guidelines on a large scale.
β’ Lead, mentor, and develop a team of Team Leads and AI Tutors (both full-time and contractors), focusing on performance management, career advancement, and talent pipeline development.
β’ Oversee a globally distributed workforce comprising various employment types (full-time employees and contractors), promoting strong collaboration and consistent standards across different time zones.
β’ Work closely with Program Staff, Go-to-Market teams, and Engineering teams to grasp model requirements and convert them into precise data specifications and labeling strategies.
β’ Establish and continually enhance operational standards, annotation guidelines, taxonomy, and quality assurance methods.
β’ Enhance efficiency and scalability by identifying and addressing bottlenecks, implementing process enhancements, and utilizing metrics/KPIs to monitor performance (e.g., send-back rate, tutor utilization, lead time).
β’ Recruit, onboard, and cultivate top talent while fostering a high-performance, merit-based culture with strong accountability.
β’ Design and refine training programs, certification procedures, and onboarding systems for new team members and leaders.
β’ Serve as the representative voice of the tutors while connecting Team Leads with Human Data Engineers to promote ongoing improvement.
β’ Provide updates on program status, risks, and outcomes to senior leadership while encouraging cross-functional alignment.
β’ A minimum of 2 years of leadership experience, including managing Team Leads or equivalent managerial roles.
β’ Demonstrated success in delivering high-quality operations at scale (e.g., in data annotation, AI training/evaluation, content quality, operations, or related fields).
β’ Basic knowledge of AI/ML concepts and an understanding of how high-quality training data affects model performance.
β’ Familiarity with project management tools such as Notion, JIRA, Linear, or Axiom.
β’ Equity
β’ Comprehensive medical coverage
β’ Vision insurance
β’ Dental coverage
β’ Access to a 401(k) retirement plan
β’ Short & long-term disability insurance
β’ Life insurance
β’ Various other discounts and perks
β’ Health insurance for eligible U.S. based positions
β’ Paid sick leave for eligible U.S. based positions
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