Associate Technical Product Manager (AI), Remote
Aledade- Full Time
- Entry Level & New Grad
Candidates should possess over two years of experience in data annotation, data operations, or related fields, including at least one year of experience leading annotation teams, demonstrating a detail-oriented approach to reviewing documentation and quantitative/qualitative work, and possessing biomedical science knowledge.
The Data Annotation Project Manager will work cross-functionally with Machine Learning, Product, and Scientific teams to develop precise project specifications and determine suitable datasets for model training, validation, evaluation, and regulatory submissions, ensuring annotation efforts align with product requirements and meet compliance obligations, monitoring and evaluating annotation workflows, mitigating risks, presenting findings to stakeholders, overseeing operational logistics, and managing annotation leads and individual annotators while adhering to data governance and compliance standards.
AI-driven solutions for gastrointestinal care
Iterative Health focuses on improving gastrointestinal (GI) care through the use of artificial intelligence (AI) and machine learning (ML). Their main product, SKOUT®, is an FDA-cleared device designed to help doctors detect adenomas, which are precursors to colorectal cancer. This device works alongside physician judgment to enhance the accuracy of diagnoses. In addition to SKOUT®, Iterative Health provides services that optimize clinical trials by using AI-enabled documentation technology, which improves patient care and ensures high-quality reporting across different healthcare institutions. This technology aims to make advanced care more accessible, especially to underserved populations. Unlike many competitors, Iterative Health combines AI technology with a strong focus on colorectal cancer prevention and clinical trial efficiency. The company's goal is to deliver top-tier GI care and improve health outcomes for patients worldwide.