DataForce by TransPerfect jobs - Data Contributor

Data Contributor

DataForce by TransPerfect
experience Fresher
salary Salary not disclosed
qualification
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Posted: 2 Months ago
Views: 0
Applications: 1
Openings: 1

Job Description

Position: Data Contributor
Project Location:
 Pune, India

Engagement Model: One-time task


We are currently looking for people to participate in our Emerald Onsite Video Collection project. We need participants from diverse backgrounds and age ranges, including both individuals and families.


What is the project about?

This project aims to collect and evaluate video data to enhance the functionality of consumer technology, such as smart devices like tablets and phones, ultimately improving user experience for everyone.

Task Description:

As a participant, you will be video recorded while performing a series of simple tasks, including:
-Moving your arms back and forth
-Rotating your head
-Sitting, standing
-Walking indoor-outdoor
-Other simple physical movements

Overall, the session will take approximately 60 minutes, including preparations.


Job requirements
Who is eligible?
To participate you should meet the following qualifying criteria:- Be able to attend the study location onsite in Pune, India Where is the project taking place?
This is an onsite project taking place at our premises in Pune, India
 How much is the compensation?
Individual sessions: you will receive $30 USD per session.
Pair sessions: if you participate in the same session with a family member, as a pair you will receive $100 USD ($50 USD per person).
 As payment method, we offer PayPal, Gift Card, Check and Wire Transfer according to your preference.*

How long does it take? It will take approximately 60 minutes (1 hour) to complete this project.

If you have any doubts or questions, please don't hesitate to reach out to us 

Job Particulars

Who can applyFreshers
Hiring Process Face to Face Interview
Employment TypePart Time
Job Id1759718
Locality Address Aundh
StateMaharashtra
Country India

About Company

DataForce by TransPerfect
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