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Data Annotation Specialist (Tier I)

100% Remote Full-time Open now

## About the Role Execo is seeking a Data Annotation Specialist (Tier I) to join its AI data team. This entry-level role plays a critical part in training machine learning models by producing high-quality labeled data. As a “human-in-the-loop,” you will work across multiple data types—including text, images, video, and audio—to create accurate datasets that improve AI performance. ## Responsibilities - Perform data labeling and categorization using techniques such as - Bounding boxes - Polygons - Named Entity Recognition (NER) - Transcribe audio and video content into accurate text - Classify documents into predefined categories - Conduct quality assurance checks to ensure data accuracy and consistency - Identify and escalate ambiguous data or edge cases - Maintain data confidentiality and compliance with regulations such as GDPR and HIPAA ## Requirements - Entry-level candidate with 0–2 years of experience - Strong attention to detail and accuracy - Ability to follow complex guidelines precisely - Good computer literacy, including familiarity with Excel - Ability to learn annotation tools such as - Labelbox - CVAT ## Preferred Qualifications - Background in - Data entry - Writing or editing - Associate’s or Bachelor’s degree in - Computer Science - Data Science - Linguistics ## Why Join Execo - Work on real-world AI and machine learning projects - Join a global team operating across multiple countries - Build foundational experience in AI data workflows - Be part of a fast-growing company combining human expertise with AI innovation ## About Execo Execo helps leading companies solve complex problems in areas such as legal services, go-to-market strategies, and data annotation. By combining global talent with AI technologies, Execo delivers scalable, high-impact solutions that drive business efficiency and innovation. Apply tot his job Apply To this Job Apply tot his job Apply To this Job Apply tot his job Apply To this Job Apply tot his job Apply To this Job

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