AI Image Labelling Operator (Entry-Level / Intern Open) - ANPR & Vehicles
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Key skills for this role
About the Role
What you'll do Label and annotate vehicle imagery from real-world GCC traffic footage: vehicle type, colour, brand, model, and license-plate text. Use LabelImg (our current tool) and any equivalent tool the AI engineers introduce.
Key Skills for This Role
Full Job Posting
What You'Ll Do
- Label and annotate vehicle imagery from real-world GCC traffic footage: vehicle type, colour, brand, model, and license-plate text.
- Use LabelImg (our current tool) and any equivalent tool the AI engineers introduce.
- Apply the labelling guideline as the senior CV engineers define it; flag ambiguous cases for adjudication rather than guessing.
- Hit a daily throughput target without sacrificing accuracy - we will calibrate the target with you in the first two weeks.
- Keep the dataset clean: organised splits, clear file naming, edge cases documented.
- Sit with the AI engineers each week on which categories need more samples and which images the model is getting wrong.
- Treat all imagery as confidential - this is operational data, never copied off the office machines, never shared.
- What you'll bring
- Strong attention to detail; you can sustain accuracy over hours of repetitive work without dropping quality.
- Comfortable on a computer - file management, basic Excel or Sheets, keyboard fluency. We will train the labelling tool itself.
- Fluent English; ability to read GCC license plates (numerals plus Arabic letters) - training provided if not already familiar.
- Willing to sign a strict confidentiality agreement covering sensitive operational imagery.
- Available to work onsite full-time, five days a week.
- Nice to have
- Any prior experience labelling AI / ML datasets, even from a university course or personal project.
- Familiarity with image-annotation tools (LabelImg, CVAT, Label Studio, V7, Supervisely, or similar).
- Familiarity with vehicle makes and models common in the GCC.
- Arabic literacy.
- Some Python - useful for scripting batch operations later, but absolutely not required to start.
- Currently studying or recently graduated in computer science, engineering, design, or any field that demonstrates structured thinking.
Location & Work Authorization
Abu Dhabi - onsite at our headquarters.
Open to candidates already in the UAE with valid work authorization, or to candidates willing to relocate; the company sponsors residency.
This role is onsite due to the sensitivity of the systems being supported.
Pay: From AED2,000.00 per month
Application Question(S)
- What is your expected monthly base salary in AED? (Number)
- Do you currently live in, or are willing to relocate, to Abu Dhabi?
- Have you ever labelled or annotated images, video, or other data for an AI / ML project?
- Are you available to work onsite full-time, five days a week?
Language
- Arabic (Preferred)
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