Role: DPO-Data Processing Officer
Location: Seattle Bay Area Las Vegas
The Data Processing Officer (DPO) is responsible for uploading validating qualifying labeling segmenting and tracking field-collected data to ensure it meets defined quality privacy and submission standards. This role acts as a critical quality gate between field operations and client delivery ensuring datasets are accurate complete and audit-ready.
Core Responsibilities
- Upload field-collected data to approved storage systems confirming successful transfers completeness and secure handling.
- Qualify data against acceptance criteria by validating file integrity scenario coverage timestamps and required metadata.
- Label and tag data accurately using defined naming conventions (scenario IDs participant/session IDs location and device identifiers).
- Segment datasets by city household/session and scenario type ensuring no duplicates or missing coverage.
- Maintain detailed tracking in Google Sheets including upload status QA results rejection reasons re-run flags and submission readiness.
- Identify and escalate data issues early coordinating with field moderators and technical teams to resolve gaps or inconsistencies.
- Prepare structured submission-ready data packages with clear documentation and version control.
- Ensure all data handling follows privacy access control and retention guidelines.
Mandatory Qualifications (Non-Negotiable)
- Experience working with research field or media datasets in structured workflows.
- Strong proficiency in Google Sheets for data tracking validation segmentation and reporting.
- Proven ability to follow strict labeling and qualification protocols with high accuracy.
- Close attention to detail and the ability to identify anomalies in large datasets.
- Strong written communication and documentation skills.
Required Technical Skills
- Ability to handle large media files (video/image/audio) including uploading organizing and validating files.
- Understanding of file systems folder hierarchies and naming conventions.
- Ability to validate metadata fields (timestamps IDs scenario labels) against defined schemas.
- Capability to detect data integrity issues such as corrupted files incomplete uploads and duplicates.
- Familiarity with secure data handling practices including access control and privacy-aware workflows.
Preferred Qualifications
- Prior experience with camera-based video or scenario-driven data collection.
- Exposure to QA processes and client acceptance criteria.
- Experience preparing datasets for internal or external submission and review.
Performance Expectations
- High first-pass data acceptance with minimal rework.
- Zero critical submission failures due to labeling or metadata errors.
- Accurate real-time tracking that reflects data readiness at all times.
- Early identification of data risks to prevent timeline impact.
Role Positioning
Role: DPO-Data Processing Officer Location: Seattle Bay Area Las Vegas The Data Processing Officer (DPO) is responsible for uploading validating qualifying labeling segmenting and tracking field-collected data to ensure it meets defined quality privacy and submission standards. This role acts as...
Role: DPO-Data Processing Officer
Location: Seattle Bay Area Las Vegas
The Data Processing Officer (DPO) is responsible for uploading validating qualifying labeling segmenting and tracking field-collected data to ensure it meets defined quality privacy and submission standards. This role acts as a critical quality gate between field operations and client delivery ensuring datasets are accurate complete and audit-ready.
Core Responsibilities
- Upload field-collected data to approved storage systems confirming successful transfers completeness and secure handling.
- Qualify data against acceptance criteria by validating file integrity scenario coverage timestamps and required metadata.
- Label and tag data accurately using defined naming conventions (scenario IDs participant/session IDs location and device identifiers).
- Segment datasets by city household/session and scenario type ensuring no duplicates or missing coverage.
- Maintain detailed tracking in Google Sheets including upload status QA results rejection reasons re-run flags and submission readiness.
- Identify and escalate data issues early coordinating with field moderators and technical teams to resolve gaps or inconsistencies.
- Prepare structured submission-ready data packages with clear documentation and version control.
- Ensure all data handling follows privacy access control and retention guidelines.
Mandatory Qualifications (Non-Negotiable)
- Experience working with research field or media datasets in structured workflows.
- Strong proficiency in Google Sheets for data tracking validation segmentation and reporting.
- Proven ability to follow strict labeling and qualification protocols with high accuracy.
- Close attention to detail and the ability to identify anomalies in large datasets.
- Strong written communication and documentation skills.
Required Technical Skills
- Ability to handle large media files (video/image/audio) including uploading organizing and validating files.
- Understanding of file systems folder hierarchies and naming conventions.
- Ability to validate metadata fields (timestamps IDs scenario labels) against defined schemas.
- Capability to detect data integrity issues such as corrupted files incomplete uploads and duplicates.
- Familiarity with secure data handling practices including access control and privacy-aware workflows.
Preferred Qualifications
- Prior experience with camera-based video or scenario-driven data collection.
- Exposure to QA processes and client acceptance criteria.
- Experience preparing datasets for internal or external submission and review.
Performance Expectations
- High first-pass data acceptance with minimal rework.
- Zero critical submission failures due to labeling or metadata errors.
- Accurate real-time tracking that reflects data readiness at all times.
- Early identification of data risks to prevent timeline impact.
Role Positioning
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