Annotation Specialist

🏢 Kitware · 📍 Clifton Park, New York · 💼 onsite · ⏰ Part Time - Hourly 💰 $15 - $20 / yr
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Position Summary & Responsibilities

Team Description:
Kitware’s computer vision team is a leader in the creation of cutting-edge algorithms and software for automated image and video analysis. Our solutions embrace deep learning and add measurable value to government agencies, commercial organizations, and academic institutions worldwide. We understand the difficulties in extracting, interpreting, and utilizing information across images, video, metadata, and text, and we recognize the need for robust, affordable solutions. We seek to advance the fields of computer vision and deep learning through research and development and through collaborative projects that build on our open source software platforms.

As an Annotation Specialist, you will work on a team of dedicated individuals alongside our R&D Engineers and Researchers to advance the state-of-the-art in computer vision. Annotation is critical to the success of many of our computer vision projects; the annotations are used in scoring and evaluating our work as well as training our algorithms. Kitware’s Annotation team provides the key data annotation support within our computer vision team to meet these needs. The team uses a variety of software tools to label objects, activities, events, and other items of interest in images and video. 

This is an as-needed, project-dependent position with variable hours. Work availability will ebb and flow based on project needs, and a set number of hours each week is not guaranteed. The position requires flexibility to work on-site at Kitware’s headquarters in Clifton Park, NY when project needs require it, including work in a specialized facility. This position will also require obtaining the necessary government clearances. 
🎯 Candidate Preparation Guide For Kitware Applicants

Key Role Competencies & Evaluation Highlights

Key Role Focus:

Kitware looks for elite computer vision, scientific computing, and open-source software engineering capabilities backed by strong academic and research credentials.

📋 Preparation Priorities (Key Areas to Clarify):
  • 1. Being purely theoretical with no track record of shipping production-grade, maintainable C++ or Python code
  • 2. Demonstrating an aversion to collaborative open-source development models and community building
  • 3. Inability to explain complex technical research in clear, application-oriented terms
✨ Recommended Role Alignment Hook:

I build robust, high-performance computer vision and scientific computing solutions backed by deep open-source and R&D expertise.

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