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# Annotation Specialist II

- **Company:** Adecco
- **Location:** Cupertino, CA, United States
- **Experience:** Experienced
- **Salary:** $59,779
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Apple IOS, Apple Mac Systems, Spreadsheets, Data Cleansing, Data Files, Productivity Software, DataOps, Scripting
- **Published:** November 13, 2026
- **Apply:** https://www.financialjobbank.com/job.asp?id=3517353663&tx=FL636FFI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Strong communication and interpersonal skills.
 * Excellent attention to detail and organizational abilities.
 * Ability to manage multiple priorities in a fast-paced environment.
 * Self-motivated and capable of working independently.
 * Proficiency with macOS, iOS, iPadOS, and related productivity tools.
 * Experience handling data files, validation, formatting, and spreadsheet-based analysis.
 * Ability to quickly learn new systems and tools., * 3+ years of experience in Data Operations, Data Collection, User Research Operations, or related fields.
 * Experience with annotation platforms and data labeling tools.
 * Experience moderating in-person user studies or data collection programs.
 * Basic knowledge of Python scripting and CLI/Terminal commands.
 * Familiarity with AI/ML data preparation, annotation, or quality assessment workflows.

## Description

* Coordinate and moderate on-site data collection sessions, including participant recruitment, logistics, device setup, and session support.
 * Annotate text, image, and video datasets using classification, bounding boxes, and subjective ratings.
 * Identify trends, anomalies, and edge cases within datasets.
 * Conduct QA reviews of internally and externally generated data and provide actionable feedback.
 * Process, validate, organize, rename, and package datasets for delivery.
 * Configure, test, and troubleshoot data collection and annotation platforms before project launch.
 * Collaborating with Data Program Managers and QA Leads on multiple concurrent projects