
Data Annotation Specialist – Object Detection
Posted Oct 21

Posted Oct 21
This is a fully remote position, open to applicants in United States.
• Identify, categorize, and annotate objects within visual datasets using specified annotation tools and project-specific guidelines.
• Implement labeling standards to ensure that annotations are precise, comprehensive, and uniform.
• Adhere to annotation instructions, classification criteria, and quality benchmarks.
• Review completed annotations, detect errors or discrepancies, and make necessary corrections.
• Identify unclear objects and ambiguous classifications, escalating inquiries through established project channels.
• Utilize web-based annotation platforms and digital tools effectively.
• Complete assigned tasks within designated timelines while ensuring accuracy.
• Collaborate with project coordinators, team leaders, and quality assurance staff.
• Follow data handling protocols, uphold confidentiality, and comply with project security and quality standards.
• Must be a United States citizen as required for project eligibility.
• Prior experience in data annotation, image labeling, object detection, or similar structured data labeling activities.
• Strong computer proficiency, including familiarity with web-based applications, digital tools, and online work platforms.
• Ability to accurately identify visual objects, differentiate between classifications, and apply detailed annotation specifications.
• Capability to understand and adhere to structured workflows, labeling guidelines, and quality assurance criteria.
• Ability to maintain accuracy while performing repetitive, detail-oriented tasks for extended periods.
• Strong organizational skills with the ability to meet productivity targets and deadlines.
• Ability to work independently in a remote setting while maintaining communication with project leads and team members.
• Must be available for 40 hours per week, Monday through Friday, from 8:00 AM to 4:30 PM Central Time, including a 30-minute unpaid meal break.
• Full-time W-2 employment.
• Consistent 40-hour workweek.
• Structured Monday–Friday schedule.
• Remote work from an eligible U.S. location.
• No PTO or paid sick leave unless mandated by applicable state or local laws.
• Potential for project extension based on performance, client requirements, and ongoing business needs.
• Hands-on experience supporting AI technology.
• Experience with computer vision, object detection, and data annotation processes.
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