Project Overview We are seeking independent Product Matching Specialists and data experts to provide their expertise for an e-commerce platform enrichment project.
Data Annotation Specialist (Tier I)
Job description
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.
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