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Transcription Captioning Annotation Hiring Jobs (NOW HIRING)

Perle

Expert Audio Transcriber, Tunisian Arabic

$20.50 - $26.50/hr

... professional transcription, captioning, court reporting, broadcast, translation, or linguistic annotation experience • Demonstrated accuracy at the word level under deadline pressure • ...

Perle AI

$18 - $23.50/hr

THE ROLE We are hiring expert Macedonian transcribers to convert audio recordings of native ... transcription, captioning, court reporting, broadcast, translation, or linguistic annotation ...

Perle AI

Expert Audio Transcriber, Hebrew (US, Canada, EU)

$20.50 - $26.50/hr

THE ROLE We are hiring expert Hebrew (US, Canada, EU) transcribers to convert audio recordings of ... transcription, captioning, court reporting, broadcast, translation, or linguistic annotation ...

CaptionCall

Sign Language Specialist

Salt Lake City, UT · On-site

$27.74 - $46.30/hr

Prior captioning, subtitling, or transcription experience - particularly ASL-to-English work ... Familiarity with annotation tools such as ELAN, CVAT, or similar platforms. * Experience working ...

Sorenson

Sign Language Specialist

Salt Lake City, UT · On-site

Prior captioning, subtitling, or transcription experience -- particularly ASL-to-English work ... Familiarity with annotation tools such as ELAN, CVAT, or similar platforms. * Experience working ...

CaptionCall

Sign Language Specialist

Salt Lake City, UT

$57K - $96K/yr

Prior captioning, subtitling, or transcription experience -- particularly ASL-to-English work ... Familiarity with annotation tools such as ELAN, CVAT, or similar platforms. * Experience working ...

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Transcription Captioning Annotation Hiring information

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How much do transcription captioning annotation hiring jobs pay per hour?

As of Aug 2, 2026, the average hourly pay for transcription captioning annotation hiring in the United States is $22.56, according to ZipRecruiter salary data. Most workers in this role earn between $21.15 and $23.80 per hour, depending on experience, location, and employer.

What is the difference between Transcription Captioning Annotation Hiring vs Transcription Editor?

AspectTranscription Captioning Annotation HiringTranscription Editor
CredentialsTypically requires transcription or captioning certifications, good language skillsRequires strong editing skills, language proficiency, sometimes transcription experience
Work EnvironmentRemote or on-site, multimedia projects, media companiesRemote or on-site, editing and reviewing transcriptions or captions
Industry UsageUsed in media, entertainment, education, accessibility servicesUsed in media production, publishing, content review

While both roles involve working with transcribed content, Transcription Captioning Annotation Hiring focuses on recruiting professionals to create or annotate transcripts and captions. Transcription Editor, on the other hand, involves reviewing and editing existing transcripts or captions for accuracy and quality. Both roles require language proficiency and attention to detail but differ in their primary responsibilities and work processes.

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What cities are hiring for Transcription Captioning Annotation Hiring jobs? Cities with the most Transcription Captioning Annotation Hiring job openings:
What states have the most Transcription Captioning Annotation Hiring jobs? States with the most job openings for Transcription Captioning Annotation Hiring jobs include:
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Transcription Captioning Annotation Hiring jobs near you
Infographic showing various Transcription Captioning Annotation Hiring job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 4% Full Time, 4% Part Time, 80% Contract, and 11% Nights. Highlights an 4% Physical, and 96% Remote job distribution, with an average salary of $46,930 per year, or $22.6 per hour.

Expert Audio Transcriber, Tunisian Arabic

Perle

Remote

$20.50 - $26.50/hr

Full-time

Re-posted 19 days ago

Job description

Job Summary:
Perle is an AI infrastructure company specializing in expert-driven training data and applied AI products. They are seeking expert Tunisian Arabic transcribers to convert audio recordings into precise written transcripts, ensuring high-quality outputs for AI labs.
Responsibilities:
• Transcribe audio recordings into accurate, time-aligned written text following Perle's project-specific style guide
• Apply correct conventions for speaker identification, overlapping speech, disfluencies, fillers, false starts, and non-speech events such as laughter, background noise, and music
• Make principled orthographic decisions for dialectal, colloquial, and code-switched speech
• Flag ambiguous segments, uncertain speakers, and audio quality issues using project conventions
• Self-review every submission against Perle's quality bar before delivery
• Engage with QA reviewers on edge cases, calibration sessions, and style guide updates
Qualifications:
Required:
• Native fluency in Tunisian Arabic with lifelong residence or deep immersion in Tunisia
• Strong command of Modern Standard Arabic for orthographic decisions on Derja speech
• Working knowledge of French sufficient to transcribe French loanwords and code-switching
• Familiarity with regional Tunisian variation across coastal and inland areas
• At least two years of professional transcription, captioning, court reporting, broadcast, translation, or linguistic annotation experience
• Demonstrated accuracy at the word level under deadline pressure
• Comfortable with web-based annotation platforms and variable-speed audio playback
• Reliable high-speed internet, quality headphones, and a quiet workspace
• Ability to commit to defined volume per week during active project phases
Preferred:
• Background in Maghrebi Arabic linguistics, translation, or journalism
• Prior experience annotating Tunisian or Maghrebi speech data
• Working knowledge of Tamazight or Italian for additional lexical cases
• Familiarity with IPA or other phonetic transcription systems
• Experience with verbatim versus clean-verbatim transcription conventions
Company:
Our Mission: We’re bringing humanity to artificial intelligence. Founded in 2024, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

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