Operations Associate II

What we want to accomplish and why we need you Suki is a leading technology company that provides AI voice solutions for healthcare. Its mission is to reimagine the healthcare technology stack, making it invisible and assistive to lift the administrative burden from clinicians. Its flagship product is Suki Assistant, an AI assistant that uses generative AI to automatically create clinical documentation by ambiently listening to patient-clinician conversations. Suki helps clinicians complete notes 72% faster on average, assists with other tasks including coding and answering questions, and generates incremental revenue for organizations, delivering a 9X ROI in year 1. Suki also offers its proprietary AI and speech platform, Suki Platform, to partners who want to create best-in-class ambient and voice experiences for their solutions. Clinicians that use Suki already spend over 70% less time on administrative tasks, and we’re striving to do even better. Come and join us!  We are a user-driven company and are committed to making sure every pixel of our product is in service of the doctors. We’re a team of technologists, clinicians, and industry experts working together to push the limits on technology used in medicine. We’re confident enough to move fast and talented enough not to break things. What will you do? As an ML Data Operations Associate, you will play a critical role in supporting our Machine Learning (ML) team by preparing high-quality datasets that fuel model training and continuous improvement. You will be responsible for data extraction, annotation, and labelling, ensuring accuracy and compliance with defined SLAs. This position reports directly to the Senior ML Data Operations Manager. Prepare, clean, and validate datasets for ML model training in alignment with project SLAs. Perform data extraction, annotation, and labelling to enhance the quality of ambient notes and ASR (Automatic Speech Recognition) outputs. Collaborate with ML engineers to ensure datasets meet technical and clinical requirements. Conduct quality assurance checks to maintain accuracy and compliance with HIPAA regulations. Provide structured feedback on user outputs, product bugs, and potential improvements. Mentor and train new ML Data Ops Associates, fostering a culture of excellence and consistency. Consistently meet productivity and quality benchmarks set by the organization. Ok, you are sold, but what are we looking for in the perfect candidate? Quality First: Deliver 100% accurate, high-quality service while adhering to HIPAA rules and regulations. Critical Thinking: Apply clinical knowledge and medical expertise to identify subtle errors in documentation. Collaboration: Work effectively with peers and ML teams, contributing to product improvements and annotation workflows. Self-Motivation: Demonstrate passion for achieving goals and the ability to work independently. Mentorship: Support the growth of the team by training and guiding new associates. Consistency: Maintain productivity and quality standards in line with company objectives. Qualifications: Minimum 12 years of experience in Medical Transcription or Medical Scribing. Strong understanding of medical documentation and terminology. Proven experience in medical transcription or scribing (mandatory). Exceptional written and oral communication skills, with mastery of English grammar, punctuation, and style. Typing speed of 60+ words per minute with strong computer and listening skills. Impeccable attention to detail and accuracy. Highly self-motivated with strong teamwork and collaboration skills. Prior experience in data labelling or annotation is a plus. Why Join Us? Be part of a cutting-edge ML team working on healthcare-focused AI solutions. Contribute to improving ASR and ambient note quality that directly impacts patient care. Opportunity to mentor and shape the next generation of ML Data Ops Associates. Work in a collaborative environment that values precision, innovation, and continuous learning. Tell me more about Suki On a roll: Named by Fast Company as one of the most innovative companies, named Google’s Partner of the Year for AI/ML, named by Forbes as one of the top 50 companies in AI . Great team: Founded, managed, and backed by successful tech veterans from Google and Apple and medical leaders from UCSF and Stanford. We have technologists and doctors working side-by-side to solve complex problems. Great investors: We’re backed by Venrock, First Round Capital, Flare Capital, March Capital, Hedosophia and others. With our $165M raised so far, we have the resources to scale. Huge market: Disrupting a massive, growing $30+ billion market for transcription, dictation, and order-entry solutions. Our vision is to become the voice user interface for healthcare, relieving the administrative burden on doctors instead of adding to it. Great customers: Our solutions are used in health syste