Transcribing Interns Jobs in Mumbai - Quantiphi Analytics Solutions Pvt Ltd
Transcribing Interns
Quantiphi Analytics Solutions Pvt Ltd
Expired
Posted: 06 Jan 17
Job Description
Job Title: Transcribing Interns
The selected intern(s) will work on following during the internship:
- Contribute to Phase 1 of a speech automation project
- Will be required to analyse the data and record inferences
- Transcribe the data provided with a high accuracy rate.
Profile Description:
Only those candidates can apply who:
- are available for full time (in-office) internship.
- are available for minimum 2 months duration.
- are pursuing any degree but have relevant skills and interest.
- Year of degree completion: 2017
Skill(s) required: English Proficiency (Spoken) and English Proficiency (Written)
Other requirements:
- Should have the ability to understand and comprehend western English.
- Candidates with good knowledge of English and fantastic vocabulary are also welcome to apply
- Additional incentives over and above the fixed stipend for outstanding contribution
Perks: Certificate, Letter of recommendation, Informal dress code, 5 days a week, Free snacks & beverages.
Stipend: Rs.10000 /Month
No. of opening : 10
Duration : 2 Months
Location: Mumbai
Job Particulars
Role others
Education Any Graduate
Who can apply Freshers
Hiring Process Written-test
Employment TypeInternship / Projects
Job Id262427
Job Category Internship
SkillsEnglish Speaking
Locality Address
State Maharashtra
Country India
About Company
Quantiphi is a category defining Data Science and Machine Learning software and services company focused on helping organizations translate the big promise of Big Data & Machine Learning technologies into quantifiable business impact. We were founded on the belief that machine learning and artificial intelligence are transformative technologies that will create the next quantum gain in customer experience and unit economics of businesses. Quantiphi helps clients find and capture hidden value from data through a unique blend of business acumen, big-data, machine learning and intuitive information design.
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