# Co-pilot / Data annotator for automotive project at TSMG

> Onsite · Hungary · Unspecified · Other · open. Source: https://alderhq.app/jobs/lever%3Atsmg%3A45bcbeea-5879-45ce-9d6e-cf0025d0769c (read 2026-11-13).

## Facts (observed)

- Company: [TSMG](https://alderhq.app/companies/tsmg)
- Location text: Any city, Hungary
- Where it can be done from (inferred): Onsite · Hungary (evidence: "Location: Any city, Hungary")
- Posted: 2026-10-20 (24 days ago)
- First seen by alder: 2026-11-03 · last verified: 2026-11-12
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.lever.co/tsmg/45bcbeea-5879-45ce-9d6e-cf0025d0769c
- Skills listed (inferred): Python

## Pay and sponsorship

- Posted pay: not posted

## Description (the employer's text)

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

- 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.
### Requirements

- 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

- 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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/lever%3Atsmg%3A45bcbeea-5879-45ce-9d6e-cf0025d0769c and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.