Forward Deployed Engineer, Data De-Identification

Description: Own the delivery of client de-identification projects from raw data to accepted datasets. Diagnose and fix issues in the de-identification pipeline, ensuring accuracy and quality. Collaborate with annotation teams and write technical sections of client reports. Requirements: Bachelor’s degree in a technical field (e.g., computer science, engineering). Several years of experience in data engineering or backend engineering. Strong proficiency in Python, SQL, and backend programming languages. Experience building pipelines for large volumes of structured and unstructured data. Self-directed with clear communication skills for diverse audiences. Benefits: Early involvement in a fast-growing business addressing AI industry challenges. Work closely with technical founders and gain experience in the training-data market. Competitive compensation and equity.