Job Openings Image Annotator

About the job Image Annotator

Job Context:

Riseup Labs is hiring detail-oriented Image Annotators for an industrial quality-control project. You will label defect classes in production-material images using a structured guideline, directly contributing to training data for machine-learning models.

Job Responsibilities:

  • Annotate images by identifying and labeling defect classes using exact color codes and annotation rules
  • Apply polygon, bounding-box, or pixel-level masks depending on the defect type
  • Distinguish between visually similar defect classes based on shape, location, and contextual guidelines
  • Flag ambiguous images for QA review - never guess
  • Meet daily throughput targets while maintaining ≥95% accuracy
  • Incorporate feedback from QA reviews and stay up to date with guideline changes

Educational Requirements:

  • HSC/Bachelors

Required Qualifications:

  • Minimum 1 year of hands-on image annotation or data labeling experience
  • Proficiency in at least one annotation platform: Supervisely (strongly preferred), CVAT, Label Studio, Roboflow, Labelbox, or equivalent
  • Ability to follow multi-page written annotation guidelines independently and accurately
  • Experience with semantic or instance segmentation tasks
  • Strong attention to detail and ability to sustain focus across repetitive tasks

Nice to have:

  • Experience annotating industrial, manufacturing, or flat-material images (textiles, film, paper, etc.)
  • Familiarity with defect types such as wrinkles, folds, holes, or ink contamination
  • Knowledge of CV/ML concepts - training data pipelines, model evaluation

Workplace: 

  • Uttara, Dhaka

Working hour:

  • 9.00 AM to 6.00 PM

Salary: 

  • Negotiable (Based on experience and skills)

Compensation & Other Benefits:

  • As per company policy

The Application Process:

  • Telephone Round.
  • Interview with the Business Development Team & Talent Acquisition Team.
  • Job Offer.

N.B.: Only shortlisted candidates will be communicated in the recruitment process.