Application Engineer

STEM DTS; Pennsylvania; On-site; USD 45,000 - 60,000; Full time

Job summary

STEM DTS is seeking an entry-level Imaging Data Technician to capture and curate real-world images of surgical instrument trays and to ensure data quality for AI models.

The role involves QA checks, metadata maintenance, and collaboration with annotation teams, with significant regional travel (40–50%). Recent STEM graduates are welcome to apply. Training will cover imaging protocols across multiple sites.

Qualifications

• Bachelor’s degree in a STEM field (engineering or related) or equivalent.
• Recent graduates and entry-level candidates are welcome.
• Strong attention to detail to identify image/data inconsistencies.
• Strong analytical and problem-solving skills.
• Experience or comfort with imaging equipment and technical systems.
• Willingness to travel 40–50% regionally.

Responsibilities

• Capture and curate real-world images of surgical instrument trays using the imaging setup.
• Perform quality assurance checks on captured images (resolution, lighting, focus, consistency, completeness).
• Validate captured image data to meet quality standards and AI model requirements.
• Collaborate with annotation teams to ensure accuracy and consistency in labels.
• Maintain accurate and structured metadata for captured and annotated images.
• Work closely with AI/Computer Vision engineers to align data collection with model requirements.
• Identify and report image/data quality issues and support corrective actions.
• Follow standardized image-capture protocols and ensure consistency across sites.
• Document capture procedures to support reproducibility across multiple sites.
• Support continuous improvement of data collection and quality processes.
• Travel approximately 40–50% regionally to hospitals and facilities.

Skills

Attention to detail

Analytical skills

Problem-solving

Communication skills

Education

B.S. in Engineering or related field

Tools

Imaging equipment

Job description

• Capture and curate real-world images of surgical instrument trays using Scalpel’s imaging setup.
• Perform quality assurance checks on captured images, including resolution, lighting, focus, consistency, and completeness.
• Validate captured image data to ensure it meets quality standards and AI model requirements.
• Collaborate with annotation teams to ensure accuracy and consistency in labeled datasets.
• Maintain accurate and structured metadata for captured and annotated images.
• Work closely with AI and Computer Vision Engineers to align data collection with model requirements.
• Identify and report image-quality or data-quality issues and support corrective actions.
• Follow standardized image-capture protocols and ensure consistency across different locations.
• Document capture procedures and help ensure reproducibility across multiple sites.
• Support the continuous improvement of data collection and quality processes.
• Travel approximately 40–50% regionally to hospitals, surgical facilities, and distributor/warehouse locations.
• Perform additional duties as assigned in support of AI data quality and engineering initiatives.

Qualifications

• 4-year STEM degree in Engineering, Technology, or a related technical field.
• Recent graduates and entry-level candidates are welcome.
• Electro‑mechanical experience or hands‑on technical experience preferred.
• Background in Mechanical Engineering, Electrical Engineering, Mechatronics, Biomedical Engineering, Robotics, Manufacturing Engineering, or a related field is a plus.
• Strong attention to detail and ability to identify inconsistencies in images and data.
• Strong analytical and problem-solving skills.
• Comfortable working with imaging equipment and technical systems.
• Ability to work collaboratively with AI/Computer Vision Engineers and data annotation teams.
• Strong communication and organizational skills.
• Comfortable with approximately 40–50% regional travel.
• Ability to work in hospital, warehouse, and other field environments.