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2. 15 Best Transcription Jobs Online and Where To Find Them - AOL

   www.aol.com/15-best-transcription-jobs-online...

   Transcriptionists listen to videos and audio files and convert spoken words into written text. This work is necessary in a wide range of industries, including healthcare, legal, and marketing, to ...

3. AOL - Finance News & Latest Business Headlines - AOL.com

   www.aol.com/careers

   Health care jobs are in demand in 2025 — one of the top roles can pay $385,000. ... Artificial Intelligence is reshaping the job application process, simplifying some aspects — and creating ...

4. Rev (company) - Wikipedia

   en.wikipedia.org/wiki/Rev_(company)

   Rev is an American speech-to-text company that provides closed captioning, subtitles, and transcription services. The company, based in San Francisco and Austin , was founded in 2010. The company employs about 89,550 independent contract workers who transcribe audio for a low per-minute rate.

5. Transcription (service) - Wikipedia

   en.wikipedia.org/wiki/Transcription_(service)

   Transcription services are often provided for business, legal, or medical purposes. The most common type of transcription is from a spoken-language source into text. Common examples are the proceedings of a court hearing such as a criminal trial (by a court reporter) or a physician's recorded voice notes (medical transcription).

6. Application for employment - Wikipedia

   en.wikipedia.org/wiki/Application_for_employment

   Application forms are the second most common hiring instrument next to personal interviews. [9] Companies will occasionally use two types of application forms, short and long. [citation needed] They help companies with initial screening and the longer form can be used for other purposes as well [clarify]. The answers that applicants choose to ...

7. Otter.ai - Wikipedia

   en.wikipedia.org/wiki/Otter.ai

   Otter.ai, Inc. is an American transcription software company based in Mountain View, California. The company develops speech to text transcription applications using artificial intelligence and machine learning. Its software, called Otter, shows captions for live speakers, and generates written transcriptions of speech. [1]