Data Annotation Project Manager

Position Overview

• Location Type: Remote
• Employment Type: Full-time
• Salary: Not specified

Iterative Health is a healthcare technology and services company on a mission to advance gastrointestinal care through relentless innovation. With deep expertise in artificial intelligence and clinical research, we empower healthcare professionals to provide consistently high-quality colorectal cancer screenings and support clinical research teams and study sponsors to expand and accelerate patient access to novel therapeutics. Iterative Health is pioneering the use of artificial intelligence-based precision medicine in gastroenterology, with the aim of helping to optimize clinical trials investigating the treatment of IBD. We use advanced machine learning and computer vision to interpret endoscopic videos and other data types to help clinicians better assess patients with potential GI conditions. Iterative Health aims to establish more meaningful clinical endpoints that are better as predictors of both therapeutic response and disease outcomes.

Iterative Health is seeking a Data Annotation Project Manager. This dynamic, fast-paced role will require experience with leading medical image annotation initiatives, biomedical science knowledge, and strong attention to detail and documentation. A successful candidate will work cross-functionally with a diverse team of machine learning engineers, clinical experts, and product managers to solve challenging real-world scientific problems that have a company-wide impact. The leader in this role will be responsible for a team of 20+ annotators in charge of delivering high-quality image and video annotations, including but not limited to classification and detection tasks.

Requirements

• Over 2 years of experience in data annotation, data operations, or related fields.
• At least 1 year of experience in leading annotation teams.
• Detail-oriented with experience reviewing documentation and quantitative/qualitative work.
• Biomedical science knowledge (preferred).

Responsibilities

• Work cross-functionally with Machine Learning, Product, and Scientific teams from ideation to production phases of various medical image annotation initiatives.
• Collaborate closely with stakeholders to develop precise project specifications and determine suitable datasets for model training, validation, evaluation, and regulatory submissions.
• Ownership of annotation efforts, ensuring they align with product requirements, meet compliance obligations, and are completed efficiently.
• Monitor, evaluate, and mitigate risks across all data annotation workflows by establishing and tracking quality metrics for annotation tasks.
• Present findings and insights to stakeholders at different levels.
• Oversee operational logistics, including resource forecasting and capacity planning, by managing the annotation leads and individual annotators.
• Detail-oriented in data sourcing, creating training/evaluation contents, onboarding annotators, and conducting assessments while ensuring adherence to data governance and compliance standards.

Application Instructions

• Not specified.