Engineering/Quality Analyst

End Client Scalpel AI

Seeking a Engineering / Quality Analyst to lead the collection, validation, and quality assurance of surgical instrument tray images used to train and evaluate our computer vision models.

You’ll be on the frontline of our AI pipeline, ensuring that the images we capture in hospitals and distributor warehouses are
accurate, consistent, and high-quality

Your work will directly influence the performance of our models and the reliability of our system in real-world surgical environments.

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This role combines hands-on image capture, data quality auditing, and close collaboration with AI engineers to bridge the gap between the surgical logistics and machine learning workflows.

Your Responsibilities

• Capture and curate real-world tray images using Scalpel’s imaging setup
• Perform QA checks on captured images for resolution, lighting, focus, consistency, and completeness
• Collaborate with annotation teams to ensure accuracy and consistency in labelled data
• Maintain structured metadata for captured and annotated datasets
• Work closely with AI engineers to align data collection with model requirements
• Document capture protocols and ensure reproducibility across multiple sites

Must Have Qualifications 
* 2 Year or 4 Year STEM Degree 
*Electro-Mechanical Experience 
*Open to 40-50% Travel ( Regionally )