Data Annotator (1 Year Contract)

Posted 15 Days Ago
Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
Entry level
Retail
The Role
Annotate and categorize images, advertisements, documents, and other content for machine learning datasets. Use custom software to label elements, assign text tags, draw bounding boxes and polygons, perform object detection and image classification, curate images, and document bugs or errors. The role requires accuracy, attention to detail, timeline adherence, computer proficiency, and the ability to work independently and collaboratively.
Summary Generated by Built In

About Infilect:

Infilect works towards building artificial intelligent products. 

We are an early-stage start-up (and not a late-stage start-up such as Flipkart/Ola). This implies a high-risk high-reward environment, doing grunt work a few times, having ownership and responsibility, and doing everything that should be done to get the task done on time. The rewards are of course in terms of fulfillment, above-market salary, rapid growth in compensation, and stock options.

Think about being employee no < 50 in an early stage start-up and the challenges that come with it. Only if you believe that you can thrive in such an environment, should you apply.

Job description

We are looking for Data annotators to help categorize the content. Contributing to the process of labeling data to make it usable for machine learning. You will be required to work with things like Images, advertisements, photographs and other types of material assessment and then attach tags to the content. 

Role responsibility

  1. Use custom software to mark elements in the product image to support state-of-the-art computer vision efforts.
  2. Identify and analyze any bugs and errors found and document them for review.
  3. Manual Tagging and annotating large volumes of documents to serve as input for the Machine Learning team.
  4. Assign text labels and draw bounding boxes around images.
  5. Create labeled datasets and curate images
  6. Perform object detection, image classification, and draw polygons on a given set of images.

Requirement

  1. Quality-oriented approach
  2. Strict adherence to timelines
  3. Experience in Data Annotation preferred
  4. Overview of Machine learning is an advantage
  5. Proficiency in Computers, Excel, and Word
  6. Should be capable to work in Teams and should take individual ownership of deliverables.
  7. Passionate about data, efficiency, and accuracy towards data annotation work.
  8. Attention to detail is a must-have.
  9. Good communication skills and ability to work both in a team environment and independently.

Skills Required

  • Quality-oriented approach
  • Strict adherence to timelines
  • Experience in data annotation
  • Overview of machine learning
  • Proficiency with computers, Excel, and Word
  • Ability to work in teams and take individual ownership of deliverables
  • Passion for data, efficiency, and accuracy in data annotation
  • Attention to detail
  • Good communication skills and ability to work independently and collaboratively
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The Company
Bengaluru, Karnataka
106 Employees
Year Founded: 2018

What We Do

Infilect is a pioneer in Visual Intelligence for worldwide Retail. With its global footprint, Infilect partners with Retail Brands and Retailers to help them super-charge their supply-chain and in-store operations. Infilect's SaaS products, that are based on patented AI and Image Recognition technology, provide exceptional speed, accuracy, sales lift, and cost savings to its enterprise customers. Infilect believes in the power of AI and Image Recognition to free humans of mental and physical drudgery so that they can do more with their time and capital. Hence, Infilect's products augment and empower the humans in the Retail Supply-Chain with automated Image Recognition. Infilect also believes in making "net-positive" impact in the world and contributing towards environmental sustainability. With this belief, Infilect solves large-scale & systemic problems with real-time & actionable AI solutions.

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