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Data Anatation Jobs Opening in LivNSense at Bangalore

Data Anatation

LivNSense
experience-icon 0 Years
salary-icon Not disclosed
qualification-icon Any Graduate, Other Course
Expired

Posted: 06 May 22

Job Description

Responsibilities:
  • Utilize human-in-the-loop when testing your data (humans should be involved in the process to provide ground truth)
  • Work on data labeling
  • Train and test data (once you have labeled data for training and it has passed QA, it is time to train your AI model)
Who can apply

  • have relevant skills and interests
  • are available for full time (in-office) internship
  • can start the internship between 3rd May'22 and 7th Jun'22
  • are available for a duration of 6 months


Perks
  • Certificate
  • Letter of recommendation
  • Flexible work hours
  • Informal dress code
  • 5 days a week
  • Free snacks & beverages

  • Certificate: Will be provided at the end of the Internship

    Job Particulars

    Role others
    Education Any Graduate, Other Course
    Who can apply Freshers
    Hiring Process Face to Face Interview
    Employment TypeInternship / Projects
    Job Id1473083
    Job Category Others
    Locality Address
    Country India

    About Company

    LivNSense
    LivNSense is a seed-funded product company that serves the manufacturing and production industries, with a primary focus on the continuous manufacturing and construction industry. Incubated in India with a global presence across India, the USA, and the UK and in strategic collaboration with leading IoT ecosystem partners. Within a short span of three years, the company has acquired a significant Fortune 500 customer base, with clear visibility of a solid pipeline of customers across India, the USA, and EMEA. The company is in pilot revenues and now in growth scaling mode, with a targeted income of $100M by FY-26.

    The company has successfully launched GreenOps, a Digital Twins Platform that enables cognitive functions for a cleaner optimized, and streamlined production process, reducing the carbon footprint by 10% and improving EBITDA by 4% to 7%.
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