Job description
Work Location: Remote / Work-from-home
Work Schedule: Flexible schedule of approx. 20 hours per week
Engagement Model: Freelance/ Independent contractor
Language Needed: English (United States)
Expected Project Start: 10th of July 2024
Project Duration: approx. 2 weeks
DataForce by TransPerfect is currently looking for candidates with idiomatic fluency in English (United States) to join our team of Freelance Transcribers. This is an exciting opportunity to be part of an innovative transcription project specialized in the aviation field!
Role Summary
As a Transcriber with knowledge in aviation, you will listen to and transcribe audio files. The transcription must follow a strict formatting tied to guidelines.
The ideal candidate should have excellent listening and typing skills, and the ability to follow project-specific guidelines and instructions.
Role Responsibilities
- Transcribe 15-minutes audio files into text by typing out what is heard in the audio
- Adhere to all confidential guidelines and respect sensitive information
- Edit the pre-segmented speech to identify different speaker turns
- Identify and label speakers
Job requirements
- Idiomatic fluency in English (US)
- Interest or knowledge in the aviation field
- Previous experience with transcription is preferred
- Ability to follow guidelines and receive direction
- Good typing speed and strong attention to detail
- Excellent time management skills
- Ability to work independently
- Preferred weekly availability: 20 hours
Please note, after you apply, you will receive an email with further instructions. Please check your SPAM folder as well, as the emails sometimes end up there.
DataForce by TransPerfect is part of the TransPerfect family of companies, the world’s largest provider of language and technology solutions for global business, with offices in more than 100 cities worldwide.
We offer high-quality data for Human-Machine Interaction to some of the most prestigious technology companies in the world. Our department focuses on gathering, enriching and processing data for Machine Learning in different AI domains.