Image Annotator (Student Position)

Verisure

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profile Job Location:

Malmö - Sweden

profile Monthly Salary: Not Disclosed
Posted on: 30+ days ago
Vacancies: 1 Vacancy

Job Summary

Why this role matters

Were building worldclass ondevice image detection. Highquality consistently labeled data is the foundation that makes our models reliable in the real world. As a Student Assistant in Image Annotation youll create and validate the training and evaluation datasets that power our detection modelsdirectly improving accuracy robustness and user trust.

What youll do

  • Annotate images with precision (e.g. bounding boxes and classes/attributes) using our labeling tools and taxonomies.
  • Apply clear guidelines and edgecase rules; raise ambiguities and propose refinements to keep label definitions crisp.
  • Qualityassure labels through spot checks interannotator agreement checks and consensus workflows; fix issues at speed without compromising quality.
  • Curate datasets for model training/validation/test corner cases and rare classes to improve coverage.
  • Support model evaluation by producing groundtruth labels for benchmarks and release testing; help compute and sanitycheck key metrics.
  • Protect data privacy & security by following our datahandling procedures at all times.

What youll bring

Musthaves

  • Strong visual attention to detail and consistency.
  • Ability to follow written guidelines and give clear constructive feedback when something is ambiguous.
  • Comfortable with repetitive tasks when neededwhile keeping quality high.
  • Good written and spoken English. (Swedish is a plus not a requirement.)
  • Availability 1020 hours per week during the semester; schedule can flex around exams.

What youll learn here

  • How label quality and taxonomy design drive model performance and generalization.
  • Practical dataset operations: curation splitting QA and eval set design.
  • How ondevice/edge detection models are trained benchmarked and validated before release.
  • Collaboration with AI/ML engineers product and QA in a modern MLOps pipeline.

What we offer

  • Impact you can see: your labels and insights will measurably improve production model performance.
  • A supportive team that values clarity inclusion and continuous learning.
  • Flexible hours adapted to your studies and exam periods.
  • Competitive hourly compensation.
Why this role mattersWere building worldclass ondevice image detection. Highquality consistently labeled data is the foundation that makes our models reliable in the real world. As a Student Assistant in Image Annotation youll create and validate the training and evaluation datasets that power our d...
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