Lead, Human Data Ops (Vision & Video)

Jobgether SRL

United Kingdom

Hybrid

GBP 60.000 - 90.000

Vollzeit

Vor 10 Tagen

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Benefits dieser Stelle

Medical coverage
Vision coverage
Dental coverage
Equity opportunities
401(k) plan
Paid sick leave

Zusammenfassung

Partner Company in the United Kingdom is seeking a hands-on Team Lead, Human Data Operations – Vision, Image & Video to build high-quality human data for AI systems. You will lead a team of AI Tutors responsible for labeling, reviewing, and evaluating visual data across image and video domains, owning quality, delivery, and operational standards.

The role blends people leadership with hands-on data review, using KPIs and dashboards to identify bottlenecks, scale processes, and collaborate

Qualifikationen

  • 1 year hands-on data labeling, annotation, AI training or evaluation experience.
  • Bachelor’s degree or 4 years of relevant professional experience in lieu of a degree.
  • Experience with data quality metrics and guideline-driven processes.

Aufgaben

  • Own end-to-end quality and delivery for assigned human data projects.
  • Lead and develop a team of AI Tutors with regular feedback and reviews.
  • Participate in labeling and review activities to maintain high standards.
  • Identify bottlenecks and implement efficiency improvements.
  • Track performance via KPIs and dashboards; report outcomes.

Kenntnisse

Data labeling
AI concepts
Communication
Multitasking
Quality assurance

Ausbildung

Bachelor's degree or 4+ years experience

Tools

Notion
Axiom
JIRA
Linear

Jobbeschreibung

Partner Company in the United Kingdom is seeking a hands-on Team Lead, Human Data Operations – Vision, Image & Video to build high-quality human data for AI systems. You will lead a team of AI Tutors responsible for labeling, reviewing, and evaluating visual data across image and video domains, owning quality, delivery, and operational standards.

The role blends people leadership with hands-on data review, using KPIs and dashboards to identify bottlenecks, scale processes, and collaborate

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