Data Labeling Expert - Remote

A fast‑growing AI infrastructure firm that serves Fortune 100 customers is looking for a contract Data Labeling Expert. The position works remotely and focuses on creating high‑quality annotations that train machine‑learning models to extract structured data from complex PDF files. Daily tasks involve drawing exact bounding boxes around items such as text blocks, tables, figures, captions, headers and key‑value pairs, then classifying each element according to the project's rules. You will keep the boxes tight, preserve the correct reading order, and manage challenging layouts like multi‑column text, forms, rotated pages and nested tables. The role also requires flagging ambiguous cases and following strict data‑security policies. The ideal candidate holds a bachelor's degree, preferably in technology, engineering or a data‑related discipline, and has between six months and two years of experience in data annotation or a similar field. Strong attention to detail, the ability to interpret detailed guidelines, and comfort with repetitive work are essential. Basic knowledge of document structures is needed, and prior use of annotation platforms is considered a plus. What the role asks for: - Bachelor's degree (any discipline) - 6 months, 2 years data‑annotation experience - Strong attention to detail - Ability to follow detailed annotation guidelines - Basic understanding of document structures - Skill in applying bounding‑box and classification rules - Comfort with repetitive high‑accuracy tasks - Familiarity with annotation tools (nice‑to‑have)