Audio Transcription - English
Listed on 2026-08-24
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Language/Bilingual
Data Annotation/ AI Labeling -
IT/Tech
Data Annotation/ AI Labeling
About Open Train
Open Train AI is the hiring and contracting organization for this opportunity. Open Train is the #1 platform for finding and building careers in AI training and data labeling, helping people discover meaningful projects and apply in minutes.
Creating an Open Train account is free, and contributors can build experience in a fast-growing field where human expertise helps shape how artificial intelligence understands and responds to real-world information.
About AI Training WorkAI training is the human side of building modern artificial intelligence. Contributors prepare and review examples that help AI systems understand speech, language, images, text, and other forms of data.
Audio transcription and speech annotation are especially important for helping models recognize spoken words, pronunciation differences, and variations in how people communicate. This work can provide flexible, remote opportunities for people with strong language and listening skills.
- Contribute to technology used in cutting-edge AI development
- Use careful listening and language judgment to improve training data
- Work part time with a schedule designed around other commitments
Open Train AI is seeking detail-oriented native English speakers from the USA or Canada for an English audio transcription project. You will analyze spoken audio clips, identify target words, and transcribe speech accurately according to detailed project instructions.
The work also includes assessing audio quality, recognizing pronunciation variations and minor mispronunciations, and applying precise labels. Previous experience in audio transcription, linguistic annotation, or data labeling is preferred but not required for this entry-level opportunity.
- Role:
English Audio Transcription Specialist - Work type:
Part-time contractor - Pay: $15 USD per hour
- Expected workload:
Less than 20 hours per week - Experience level:
Entry level
You will review English audio recordings and produce accurate transcriptions and labels. Consistency, careful listening, and close adherence to the project guidelines are essential because each completed example can help improve how AI systems process spoken language.
- Analyze spoken English audio clips
- Identify specified target words in recordings
- Transcribe speech accurately
- Assess the quality and clarity of audio
- Recognize pronunciation variations and minor mispronunciations
- Apply labels based on project instructions
- Follow detailed guidelines consistently
- Maintain a high level of accuracy and attention to detail
Applicants should be native English speakers from the USA or Canada with strong listening and transcription skills. You should be comfortable working with audio files and following detailed instructions precisely.
Experience with audio transcription, linguistic annotation, or data labeling is preferred. You will also need a reliable internet connection and the ability to commit to the stated weekday schedule.
- Native English speaker from the USA or Canada
- Strong listening and transcription skills
- High attention to detail and accuracy
- Ability to follow detailed instructions and labeling guidelines
- Familiarity with spoken language variations and minor mispronunciations
- Reliable internet connection
- Ability to work with audio files
- At least 1 hour per day, Monday through Friday, for the next 1+ year
This project may suit careful listeners, transcriptionists, language-focused contributors, and people beginning a career in AI training. If you can distinguish spoken-word details, recognize small pronunciation differences, and apply rules consistently, your skills can support the development of better speech technologies.
- Native English speakers who enjoy focused listening work
- Transcriptionists and language specialists
- People with data-labeling or linguistic annotation experience
- Entry-level applicants who can meet the schedule and accuracy expectations
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