Data Annotation Specialist (Tier I)

Execo AI

General Full-time
The United States
March 19, 2026

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.

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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

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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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Job Summary

Company Execo AI
Location The United States
Type Full-time
Category General

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