On-Site Computer Vision Annotation Specialist

Kitware; Town of Clifton Park (NY); On-site; USD 42,000 - 62,000; Part time

Job summary

Kitware seeks an Annotation Specialist to support computer vision research by annotating images and videos with high accuracy. The role requires on‑site work at Kitware's Clifton Park, NY headquarters and eligibility for U.S. citizenship and security clearances.

You will collaborate with R&D engineers and researchers in a fast‑paced environment. The position offers flexible hours depending on project needs, with a focus on detailed labeling and process optimization.

Qualifications

• Excellent attention to detail.
• Ability to work independently with minimal supervision.
• Willing to learn new tools as needed.
• Proactive and able to ask questions for clarification.
• Excellent communication skills, both written and oral.
• Ability to handle confidential data and work as a team.

Responsibilities

• Review image and video sources to identify objects, activities, events for researchers.
• Produce precise annotations (bounding boxes, polygon segmentation, metadata).
• Use in‑house software to troubleshoot bugs and optimize annotation workflow.
• Learn new tools/technologies to support team tasks.
• Follow agile workflow with task tracking (Git for issues).
• Operate in a fast‑paced environment with evolving research needs.

Skills

Attention to detail

Independent work

Proactive communication

Willingness to learn

Customer service

Interpersonal skills

Education

High school diploma

Advanced degree preferred

Tools

Microsoft Office

Google Suite

Job description

Kitware seeks an Annotation Specialist to support computer vision research by annotating images and videos with high accuracy. The role requires on‑site work at Kitware's Clifton Park, NY headquarters and eligibility for U.S. citizenship and security clearances.

You will collaborate with R&D engineers and researchers in a fast‑paced environment. The position offers flexible hours depending on project needs, with a focus on detailed labeling and process optimization.