Data Annotation Specialist - Computer Vision & Video Labeling

Wealth Recruitment • San Francisco, CA

3d • Remote

About The Position

Are you highly detail-oriented with the ability to stay focused through complex visual tasks? We’re seeking a Data Annotation Specialist to support cutting-edge computer vision and autonomous systems development by labeling and reviewing large-scale image and video datasets. In this role, your work will directly improve the quality of machine learning models used in advanced perception systems. This is an excellent opportunity for candidates with experience in computer vision annotation, robotics, aviation, maritime operations, drone systems, military intelligence analysis, or sensor-based technologies who enjoy analytical, high-focus work in a fast-paced technical environment.

Requirements

• Must be a U.S. Citizen (required for CUI eligibility)
• Experience with computer vision labeling, robotics annotation, or video/image analysis
• Strong attention to detail and ability to maintain focus during repetitive visual review tasks
• Comfortable working in proprietary internal software platforms
• Ability to consistently balance speed and accuracy in a production environment
• Strong pattern recognition and analytical skills
• Reliable internet connection and ability to work independently

Nice To Haves

• Maritime operations
• Drone/UAS operations
• Aviation or aircraft systems
• Military intelligence, ISR, or sensor analysis
• Robotics or autonomous systems
• Computer vision or video annotation environments

Responsibilities

• Perform high-volume image and video labeling using internal proprietary annotation tools
• Review visual datasets across multiple sensor and data types
• Identify, document, and flag model failure cases to support machine learning improvements
• Maintain strong labeling accuracy while meeting throughput and productivity targets
• Track progress across large datasets and ensure consistent performance
• Follow established annotation guidelines and escalate unclear or edge-case scenarios when needed
• Work closely with technical teams to support rapid model development cycles

Benefits

• Schedule 20–30 hours per week initially while current project backlog is addressed
• Hours may adjust based on project needs and performance
• Pay Rate = $20 - $40 per hour

What This Job Offers

• Job Type: Part-time
• Career Level: Mid Level
• Education Level: No Education Listed