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Co-pilot / Data Annotator for Automotive Project

On-site in Any city·Full-time·Added yesterday (last checked 21 Oct)

TSMG

261 open roles

Overview

Work mode
On-site, Any city
Contract
Fixed-term contract, full-time hours

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Skills

Nice to have

Requirements

What we're looking for

  • 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.

Nice to have

  • 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.

The role

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.

What you'll do

  • Review collected files to confirm completeness, organization, correct formats, and location documentation.
  • Use automation scripts (basic Python, batch, CLI, or spreadsheet macros) to process summaries or reports.
  • Identify missing data, corrupted files, incorrect folder structures, or mislabeled content.
  • Maintain daily report dashboards summarizing results, gaps, and re-drive needs.
  • Troubleshoot issues related to file transfers, naming conventions, storage space, and incomplete uploads.
  • Communicate required re-drives and missed requirements to drivers and management.
  • Participate in planning for route efficiency and data consistency improvements.
  • Maintain documentation accuracy and version control for logs and reports.

About TSMG

TSMG is a data services company headquartered in San Rafael, USA, specializing in the collection, annotation, and analysis of data for the development of autonomous vehicles and other AI-driven technologies. The company operates globally, providing field data collection services that support the training and validation of machine learning models, particularly for the automotive and mobility sectors. With a focus on precision and reliability, TSMG works with clients across various industries to deliver high-quality datasets essential for advancing autonomous systems.

In Spain, TSMG has a significant operational footprint, with numerous field-based roles across the country, including drivers, data collectors, and operations coordinators. These positions are distributed across many Spanish cities, from Madrid and Barcelona to smaller towns, reflecting the company's extensive data collection network. For international professionals, TSMG offers opportunities to work in a dynamic, tech-driven environment, often involving fieldwork and travel, which can be an attractive option for those seeking hands-on experience in the autonomous vehicle sector. The company's culture emphasizes operational excellence and data accuracy, making it a relevant employer for individuals interested in the intersection of technology and mobility.

Industry
Data Services
Employees
350
Headquarters
San Rafael, USA
In Spain
Madrid, Barcelona
Website
tsmg.com

Good to know if you are moving

  • TSMG offers numerous field-based roles across Spain, which may provide opportunities for international professionals to work in various Spanish cities and regions.
  • The company's work is closely tied to the autonomous vehicle industry, offering hands-on experience in data collection and operations that are critical to AI development.
  • Many positions are driver or field operator roles, which may require a valid driver's license and comfort with extensive travel within Spain.
  • TSMG's global presence means that roles in Spain may involve collaboration with international teams, potentially offering a multicultural work environment.
  • The company's focus on data services suggests a dynamic work environment with a strong emphasis on operational efficiency and data accuracy.
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