Co-pilot / Data annotator for automotive project
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Before you apply
LocationAny city, Portugal
Work modeon-site
Typefull-time
SeniorityEntry
DepartmentAutonomous Vehicles Testing, ADAS Testing
Company size10,000+ people
PostedOct 20, 2026 · 2w ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Strong attention to detail and consistency in reviewing and validating data
Ability to produce structured written reports and summaries
Experience with Excel reporting, Google Sheets, or dashboard tools
Basic understanding of automation scripts (Python preferred)
Ability to follow and document troubleshooting steps
Exposure to field operations, transportation, or data-driven environments
Experience working with large file sets
Ability to adapt quickly to process changes and updated requirements
Skills
Python
Excel
Google Sheets
Summary
The Data Annotator is responsible for reviewing collected data to confirm integrity, organization, and alignment with program requirements. This role requires strong reporting skills, familiarity with basic automation scripts, troubleshooting corrupted or incomplete data sets, and providing feedback to drivers to support route strategy and re-drive planning.
Key Responsibilities
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Review collected files to confirm completeness, organization, correct formats, and location documentation.
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Use automation scripts (basic Python, batch, CLI, or spreadsheet macros) to process summaries or reports.
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Identify missing data, corrupted files, incorrect folder structures, or mislabeled content.
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Maintain daily report dashboards summarizing results, gaps, and re-drive needs.
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Troubleshoot issues related to file transfers, naming conventions, storage space, and incomplete uploads.
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Communicate required re-drives and missed requirements to drivers and management.
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Participate in planning for route efficiency and data consistency improvements.
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Maintain documentation accuracy and version control for logs and reports.
Requirements
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Strong attention to detail and consistency in reviewing and validating data.
•
Ability to produce structured written reports and summaries.
•
Experience with Excel reporting, Google Sheets, or dashboard tools.
•
Basic understanding of automation scripts (Python preferred).
•
Ability to follow and document troubleshooting steps.
Preferred Skills & Experience
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Exposure to field operations, transportation, or data-driven environments.
•
Experience working with large file sets.
•
Ability to adapt quickly to process changes and updated requirements.