English Language Specialist; Transcription
Remote / Online - Candidates ideally in
New York City, Richmond County, New York, USA
Listed on 2026-06-27
New York City, Richmond County, New York, USA
Listing for:
ESR Healthcare
Remote/Work from Home
position Listed on 2026-06-27
Job specializations:
-
Language/Bilingual
Job Description & How to Apply Below
English Language Specialist (Transcription)
$20 - $30/hour pay
Required Skills- English
- Transcription
- Captioning
- Writting
- Attention to Detail
Job Title:
English Language Specialist (Transcription)
Job Type: Contractor
Location:
Remote
Job Summary:
In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.
- Transcribe English audio files with a high degree of accuracy and consistency.
- Review and refine machine-generated transcripts, correcting errors in spelling, grammar, and context.
- Add relevant metadata tags and annotations to transcripts to enhance data quality.
- Ensure all transcriptions meet strict quality standards and client formatting guidelines.
- Collaborate with the customer's team to clarify requirements and resolve ambiguities in source material.
- Handle sensitive or confidential content with discretion and professionalism.
- Maintain organized records of completed assignments and contribute to process improvements.
- Fluent proficiency in English, with exceptional grasp of spelling, grammar, and punctuation.
- Extensive experience in transcription and captioning of English audio content.
- Strong written and verbal communication skills, demonstrating care and precision in every task.
- High attention to detail, especially when reviewing and correcting machine-generated transcripts.
- Proficient in annotating and tagging metadata for language data sets.
- Excellent time management skills and ability to meet tight deadlines in a remote work environment.
- Comfort working independently while being responsive to feedback and updates from the customer's team.
- Prior experience working with AI, speech recognition, or machine learning projects.
- Background in linguistics, English, or related language studies.
- Familiarity with industry-leading transcription tools and platforms.
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