Highly Skilled Fashion Data Annotator Wanted

7 days ago

Davangere, Karnataka, India beBeeFashion Full time ₹ 5,00,000 - ₹ 7,00,000
Job Description:

We are seeking a highly skilled data annotator to join our team. As a data annotator, you will play a crucial role in helping us create a large library of images of fashion items which are annotated (marked-up).

The goal is to annotate an object in 5 minutes (12 objects per hour) at a 98% accuracy rate after the training period. You will be responsible for reviewing an image (picture) containing one or more fashion items including apparel and accessories, and identifying and documenting specific attributes.

Key Responsibilities:

  • Review images and identify individual fashion items including apparel and accessories.
  • Document specific attributes such as category, colour, fabric, brand, etc.
  • Mask (segment) each identified item clearly and assign tags describing the attributes.

Requirements & Skills:

  • Ability to understand visual and written rule sets detailing the taxonomy.
  • Ability to visually assess individual fashion items and correctly identify attributes.
  • Keen attention to detail to ensure accurate annotation using the taxonomy and guides.
  • Basic knowledge of annotation tools and software.

Required Skills & Qualifications:

Core Competencies:

  • Visual Assessment: Ability to visually assess individual fashion items and correctly identify attributes.
  • Attention to Detail: Keen attention to detail to ensure accurate annotation using the taxonomy and guides.
  • Annotation Tools: Basic knowledge of annotation tools and software.
  • Taxonomy Understanding: Ability to understand visual and written rule sets detailing the taxonomy.

Benefits:

Fully Remote Role: Work from the comfort of your own home or office.

Competitive Salary: Annual CTC: ₹5-7 lakhs.

UK Daytime Schedule: Monday to Friday, 08:30 am - 17:30 GMT.

Others:

Resources & Support: We will provide training on the following:

  • Our Annotation Guide.
  • Our Annotation Processes.
  • Annotation Tool (set up in AWS Environment).

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