AI Data Annotator Working Student (24h/week, Hybrid)
TOR Precision Laser Weeder · Tunis
Description du poste
About the role
We are looking for a detail‑oriented working student to help train and improve our computer‑vision models using real‑world agricultural data. The position is 24 hours per week and follows a hybrid schedule with one day on‑site.
Key responsibilities
- Annotate images captured from agricultural fields.
- Review and validate annotated data to ensure high quality.
- Contribute directly to the improvement of AI models used in production.
Required profile
- Currently enrolled in a Software Engineering or related study program.
- Highly detail‑oriented and reliable.
- Comfortable working in English.
- Nice to have: experience with annotation tools and basic Python knowledge.
Required skills
- Python (basic proficiency).
What we offer
- Real impact on AI systems deployed in the field.
- Flexible hybrid setup (1 day onsite, the rest remote).
- 24 hours per week schedule, start as soon as possible.
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TOR Precision Laser Weeder
Tunis