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Fashion Data Annotator Job Opening In Jaipur – Now Hiring hotsourced


Job description

Summary


We are a fully-female founded Fashion-Tech start-up that’s on a mission to change the way people search and shop online forever.

In order to do this we need to create a large library of images of fashion items which are annotated (marked-up).

Specifically each item in an image needs to be visually examined and a decision made on the exact type of item it is, noting the category and other descriptors including (but not limited to): fit, colour, pattern, material, and silhouette.


Goal: We are creating a high-functioning team which can perform the necessary data annotation on our catalogue of images which achieves, or ideally exceeds, the velocity goal of annotating an object in 5 minutes (12 objects per hour) at a 98% accuracy rate after the training period.


Core Responsibilities

Review an image (picture) containing one or more fashion items including apparel and accessories, and identify and document specific attributes.

These attributes are pre-defined and described in a guide.

Additionally, each individual item within the image must be masked (segmented or outlined clearly).

Tags describing the attributes (e.g., category, colour, fabric, brand, etc.) must then be assigned to each identified and masked object.

Accuracy will be measured against the information provided in the guide.

A specified rate of completion is also required and assumed to be no more than 5 minutes per item (e.g. top, skirt, coat) for the full set of attributes (category, colour, fabric, brand, etc).


Key Skills & Knowledge:

  • Ability to understand a visual and written rule set which details the our Taxonomy*
  • Ability to visually assess individual fashion apparel and accessory items and correctly identify the full set of attributes and capture them in the tool provided
  • Ability to use a basic annotation tool (a simple visual tool in AWS-Amazon Web Services)
  • Keen attention to detail to ensure each item is correctly annotated accurately using our Taxonomy and Guides


*Note: This taxonomy covers standardised fashion terms as well as custom rule sets about

how we are determining identification and categorisation of both specialised terms (e.g.

peplum skirt) and more subjective attributes (e.g. colour identification: dark blue vs royal blue)


Resources & Support:

We will provide training on the following:

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


Work Schedule

As the client is UK-based, you will be required to work in UK daytime:

  • Monday to Friday
  • 14:00 - 23:00 IST (08:30 am - 17:30 GMT)


Pay & Benefits - What you’ll get in return:

  • Annual CTC: 5 to 7 lakhs
  • Fully remote role

Required Skill Profession

Computer Occupations


  • Job Details

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Unlock Your Fashion Data Potential: Insight & Career Growth Guide


Real-time Fashion Data Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Fashion Data in Jaipur, India, highlighting market share and opportunities for professionals in Fashion Data roles.

140905 Jobs in India
140905
922 Jobs in Jaipur
922
Download Fashion Data Jobs Trends in Jaipur and India

Are You Looking for Fashion Data Annotator Job?

Great news! is currently hiring and seeking a Fashion Data Annotator to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at hotsourced adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying India laws and regulations

What Is the Average Salary Range for Fashion Data Annotator Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Jaipur. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Fashion Data Annotator?

Key qualifications for Fashion Data Annotator typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Fashion Data Annotator Job Success

hotsourced interview tips for Fashion Data Annotator

Here are some tips to help you prepare for and ace your Fashion Data Annotator job interview:

Before the Interview:

Research: Learn about the hotsourced's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

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Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Fashion Data Annotator interview at hotsourced, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the hotsourced's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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