Korean Audio Segmentation & Transcription (Remote)
Job Highlights & Employer Insights
Kolkata VerifiedResponse Rate
94% High Response
Recruiter actively reviews profiles
Avg. Turnaround
3–5 Days
Fast shortlist & interview calls
Verified Employer
Official Partner
Direct listing from Lifted
Culture Score
4.8 ★ Rating
Great feedback from current team
Job Overview
Experience
1-3
Salary
Best in Industry
Openings
Multiple Openings
Employment Type
contract
Work Mode
On-site
Shift
Day Shift
Working Days
Monday to Saturday
Notice Period
Immediate to 30 Days
Education
Graduate
Job Category
Korean language proficiency
Job Summary
Lifted, an Upwork-based company, is hiring Korean audio segmentation and transcription experts for an AI training initiative. Candidates will listen to real audio recordings and produce verbatim transcriptions that capture every utterance, including filler words, repetitions, and false starts. The role also requires accurate timestamping (within 500 ms), speaker labeling for multi‑speaker conversations, and annotation of non‑speech events such as laughter or background noise. Applicants must have native‑level fluency in Korean and familiarity with regional accents and informal speech. Strong listening comprehension, meticulous attention to detail, and the ability to work consistently for 20+ hours per week are essential. Experience in transcription, annotation, or linguistics is advantageous, though not mandatory. The position is remote and project‑based, with payment based on completed output and adherence to quality standards. The role is ideal for individuals who want to contribute directly to the development of next‑generation AI speech technologies while working from anywhere with a reliable internet connection and a suitable laptop or desktop computer.
Key Responsibilities
- Lifted, an Upwork-based company, is hiring Korean audio segmentation and transcription experts for an AI training initiative. Candidates will listen to real audio recordings and produce verbatim transcriptions that capture every utterance, including filler words, repetitions, and false starts. The role also requires accurate timestamping (within 500 ms), speaker labeling for multi‑speaker conversations, and annotation of non‑speech events such as laughter or background noise. Applicants must have native‑level fluency in Korean and familiarity with regional accents and informal speech. Strong listening comprehension, meticulous attention to detail, and the ability to work consistently for 20+ hours per week are essential. Experience in transcription, annotation, or linguistics is advantageous, though not mandatory. The position is remote and project‑based, with payment based on completed output and adherence to quality standards. The role is ideal for individuals who want to contribute directly to the development of next‑generation AI speech technologies while working from anywhere with a reliable internet connection and a suitable laptop or desktop computer.
About the Role
This role is ideal for someone who enjoys combining strategy, content, data and execution. You will work with cross-functional teams and contribute directly to the company’s digital growth in Kolkata and surrounding areas.
Job Requirements
- Korean language proficiency
- Transcription
- Timestamping
- Speaker labeling
Required Skills
Education
Bachelor's Degree
Preferred Languages
English, Hindi, Bengali
Gender / Eligibility
Any
Age Limit
Not Applicable
Benefits & Perks
Hiring Process Timeline
Transparent recruitment steps for this position
Submit CV & Application
Quick 1-step resume submission on OurKolkata
Recruiter Review
Lifted hiring team evaluates candidate profile
Interview Rounds
Personal or online interview with department heads
Job Offer & Joining
Official offer letter issuance and onboarding
About the Company
Lifted
Lifted is a leading organization in Kolkata delivering high-value products and professional services.
Industry
Technology & Services
Company Size
100–500 Employees
Founded
2005
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Korean Audio Segmentation & Transcription (Remote)
Best in Industry
