This is a fully remote position, open to applicants in California, +10 more states.

📋 Description

• Observe live operating room activities in real-time to ensure model accuracy and validate event recognition.

• React appropriately during live sessions following company protocols, based on the events observed or model performance.

• Precisely identify, timestamp, and label clinically significant events.

• Achieve daily annotation goals while upholding necessary quality standards.

• Recognize and report anomalies, inaccuracies, unexpected model behaviors, or any issues impacting customer experience or data integrity.

• Adjust to revised project guidelines and integrate updates into daily operations.

• Record escalations with case ID, timestamp, and a brief description.

• Communicate systemic data concerns and suggest enhancements to annotation guidelines, examples, or tools.

⛳️ Requirements

• A minimum of 3+ years of practical experience with surgical workflows, including knowledge of OR procedures, equipment, and standard operating practices.

• Strong computer skills and the ability to use multiple software applications simultaneously with confidence.

• Must be capable of working from a secure, private environment that is free from distractions.

• Candidates must ensure their remote workspace complies with confidentiality standards for real-time access to live surgical footage and sensitive patient and clinical data.

• Availability to work extended hours, including evenings, weekends, and public holidays, in accordance with surgical scheduling needs.

• Familiarity with Electronic Health Record (EHR) data, including its structure, terminology, and conventions, is preferred but not mandatory.

• Exceptional attention to detail with a systematic, process-oriented approach to quality assurance.

• Outstanding communication skills and the ability to effectively collaborate with a remote, internationally distributed team.

• Comfortable working autonomously while adhering to established processes and protocols.