Audio Transcriber
- Appen
Job Type : Permanent
- United Kingdom /Exeter
Number Of Applications : 48
Job Posted On : 03/02/2022
Job Posted On : 03/02/2022
Onsite
Yes
Remote Work
No
Experience Required
0 - 1 yrs
Start Date
Feb 10, 2022
Number of Positions:
5
Visa Sponsorship
No
Spoken Languages
English
Job Post Currency
Negotiable
REQUIRED SKILLS
PERMANENT
Annual Salary: Negotiable
Job Description
We are currently looking for an English UK native speaker for our on-site project located in our office at Exeter, England.
What is Audio Transcription?
Audio transcription is the process of creating a written account of verbal communications. This can be completed manually, by humans, or by using speech recognition technology.
Requirements:
- Native English UK speaker
- Transcription experience preferred
Our office is located at:
Rockeagle House, Pynes Hill, Exeter EX2 5AZ, United Kingdom
Schedule:
- Full time: 40 hours per week (8 hours per day)
- Monday to Friday only
Please note that as part of your registration, you will be asked to take our short screening test and indicate your weekly availability and we will be in contact shortly with your results.
Looking forward to receiving your application!
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Sectors
- Information Technology
- Others
Shifts
- General Shift
About Company
Appen is a global leader in the development of high-quality, human-annotated datasets for machine learning and artificial intelligence. Appen brings over 20 years of experience capturing and enriching a wide variety of data types including speech, text, image and video. We have deep expertise in more than 180 languages and dialects, and access to a global crowd of over 400,000 skilled contractors. Appen partners with leading technology, automotive and eCommerce companies — as well as governments worldwide — to help them develop, enhance and use products that rely on natural languages and machine learning.