Labeling Manager

Overview

Lead the data labeling operation, managing a team of AI labelers to deliver accurate outputs while optimizing labeling speed and efficiency.

City Detect harnesses AI and computer vision to revolutionize urban management by using sensors to map the physical world and help communities respond to issues and track longitudinal changes. Founded in 2021, we recently raised a Series A and are actively partnering with major municipalities across Texas, California, Florida, and beyond to create cleaner, safer, and more livable cities. We value responsible practices, cutting-edge innovation, and collaborative community partnerships as we scale our platform and shape the future of urban living through technology.

We re seeking an experienced Labeling Manager to lead our data annotation team and ensure high-quality labeled datasets for our AI computer vision models. You ll manage 15+ labelers working across various labeling platforms and drive high-quality outputs consistently to our clients.

• Manage a team of 15+ data labelers across multiple labeling platforms, including onboarding, continuous training, and performance management
• Design, establish, and enforce quality standards for annotation accuracy and consistency through robust QA processes and regular audits
• Collaborate with AI/CV engineers to refine labeling guidelines and ontologies and consistently report relevant metrics
• Proactively identify and triage low-confidence AI outputs for human review and labeling

• 3+ years managing data annotation or operations teams (5+ people)
• 2+ years experience with computer vision labeling tasks (bounding boxes, segmentation, classification)
• Proficiency with annotation platforms (strong preference for V7)
• Strong understanding of annotation quality metrics and QA methodologies
• Excellent communication and people/project management skills
• Data-driven approach to process optimization

• 1+ year in Python/SQL for analyzing labeling metrics
• 1+ year proactively identifying patterns in low-confidence AI outputs and collaborating with ML teams on model improvements
• Familiarity with active learning and model-assisted labeling workflows
• Background in computer vision or AI/ML model development
• Proven project management experience, preferably coordinating data labeling workflows with AI/ML/engineering teams

• Eligible for company equity incentive plan
• Fully remote position
• Unlimited PTO
• Health, vision, and dental insurance
• $100 monthly wellness stipend
• Bi-annual team retreat
• Professional development opportunities

Our hiring process is designed to be thoughtful, efficient, and human. Candidates typically move through a short series of interviews over 2–3 weeks, starting with a 30-minute phone screening, followed by one or two technical conversations and a final interview with our CEO.

We focus on cultural alignment, real-world technical understanding, and career goals—not coding puzzles or Leet Code-style tests. You ll hear back within 24 hours after each stage whenever possible. If an offer is extended, the role begins with a 30-day trial period where you ll take ownership of a meaningful project and receive clear, ongoing feedback to ensure mutual fit.

Due to regulatory and operational requirements, we are currently only considering candidates based in the United States.

$75,000 - $95,000 per year