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Data Labelling Analytics Internship in Banglore at Course5 Intelligence

Data Labelling Analytics

Course5 Intelligence


Start Date Duration Stipend Posted On Apply By
6 Months 13500 /month 19 Feb'20 21 Feb'20
With job offer
Internship with job offer
About Course5 Intelligence (http://course5i.com)
We enable organizations to make the most effective strategic and tactical moves relating to their customers, markets, and competition at the rapid pace that the digital business world demands. Founded in 2000, our business areas include market intelligence, big data analytics, digital transformation, artificial intelligence, and analytics. Rapid advances in artificial intelligence and machine learning technology have enabled us to create disruptive technologies and accelerators under our Course5 Intelligence suites that combine analytics, digital, and research solutions to provide significant and long-term value to our clients.
About the internship
Selected intern's day-to-day responsibilities include:

1. Utilize your experience with art and design, use our editing interface to annotate and QA existing labels of corporate ads, products, images with appropriate, pre-defined tags that you will learn during your training and onboarding process
2. Collaborate with the data science team to help improve the annotation interface and contribute your ideas to improve the labeling process
3. Learn basic machine learning knowledge to better understand how annotations are used, allowing you to make more judgment calls on edge cases that may come up during labeling
# of Internships available: 4
Who can apply
Only those candidates can apply who:
  1. are available for full time (in-office) internship
  2. can start the internship between 18th Feb'20 and 19th Mar'20
  3. are available for duration of 6 months
  4. have relevant skills and interests
Other requirements
  1. A visual learner who works with precision with large quantities of images
  2. A student studying commerce, science, arts, preferably
  3. Detail-oriented, quality-focused, and meticulous
  4. Ability to work autonomously and meet bi-weekly deadlines
  5. Strong computer skills with proficiency in Microsoft Word, Microsoft Excel or Google Docs, Google Sheets
  6. Good English speaking skills
  7. Junior college level or above
Certificate, Flexible work hours, 5 days a week, Free snacks & beverages, Job offer.

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