COVID Emergency Langar Sewa Delivery Assistance Internship (Part time)

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COVID Emergency Langar Sewa Delivery Assistance
Start Date
Starts immediatelyImmediately
Duration
2 Months
Stipend
Unpaid
APPLY BY
18 May' 21
Posted 3 weeks ago
Internship
Part time

About part time job/internship

In view of the Covid situation, Gurudwara Singh Sabha, Sector 18, Noida is sending free emergency Langar packets as Sewa to Covid patients who are quarantined at home and cannot cook.

Selected volunteer's day-to-day responsibilities include:

1. Using the data sheets to make packets as per the number of members in the recipients family
2. Delivering to the assigned route
Earn certifications in these skills

Who can apply

Only those candidates can apply who:

1. are available for the part time job/internship

2. can start the part time job/internship between 4th May'21 and 8th Jun'21

3. are available for duration of 2 months

4. are from or open to relocate to Noida and neighboring cities

5. have relevant skills and interests

Added requirements

1. Only people residing in Noida should apply

Perks

Certificate Letter of recommendation Flexible work hours Informal dress code
Additional information

The delivery is to be contactless with no face-to-face interaction required with the recipient. Vehicle stickers and a copy of the permission from the administration will be provided in case of delivery during a lockdown.

Number of openings

10

About Proof Of Performance Data Services Private Limited

Proof of Performance Data Services (PoP) is an independent company with the largest database of assets across India for the OOH advertising industry supported by auditable, tamper-proof videos hosted on a cloud-based platform. We are a startup incubated at CIIE, IIM Ahmedabad & seed-funded by DST, Government of India. This translates into a wealth of information across more than 50,000 media assets, & this number continues to grow every month. We use, for the first time in India, a proprietary video analytics-based data mining capability that offers a powerful solution.

Vehicle-mounted infrastructure is used to capture real-time videos of more than 12,000 km every month. A data mining and machine learning algorithm then extracts information from these videos and annotates data within the video as per the client's requirement. This data is then offered to brands, media owners, and agencies to help efficiently monitor and plan their spending in the OOH segment & deliver enhanced ROI.
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Hiring since September 2016
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