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Remote Speech Recognition Editor Jobs (NOW HIRING)

PTP

Senior Speech Scientist - REMOTE

Sacramento, CA · On-site +1

$97K - $133K/yr

Functioning as subject matter expert for all issues relating to speech recognition performance * Supporting sales with proposals and questions around speech recognition Requirements In addition to ...

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Remote Speech Recognition Editor information

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How much do remote speech recognition editor jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for remote speech recognition editor in the United States is $33.31, according to ZipRecruiter salary data. Most workers in this role earn between $26.20 and $40.38 per hour, depending on experience, location, and employer.

What is a remote speech recognition editor?

Remote Speech Recognition Editors are professionals who review and correct transcripts generated by speech recognition software. They listen to audio recordings and ensure that the automated transcriptions are accurate, making necessary edits for grammar, punctuation, and context. This job can be performed from anywhere with an internet connection, making it popular among those seeking flexible, remote work. Editors must have strong language skills, attention to detail, and familiarity with transcription guidelines.

What are the key skills and qualifications needed to thrive as a remote speech recognition editor?

To thrive as a Remote Speech Recognition Editor, you need excellent language proficiency, strong attention to detail, and a background in linguistics, transcription, or a related field. Familiarity with speech recognition software, audio editing tools, and word processing systems is typically required. Outstanding time management, adaptability, and communication skills help you consistently deliver accurate, high-quality edits while working independently. These skills ensure error-free transcriptions, efficient workflow, and reliable results for clients relying on speech-to-text services.

What are some common challenges faced by remote speech recognition editors, and how can they be addressed?

Remote Speech Recognition Editors often encounter challenges such as inconsistent audio quality, heavy accents, background noise, and specialized terminology. To address these, it's important to develop strong listening skills, use high-quality headphones, and utilize any available editing tools that enhance audio clarity. Additionally, collaborating with team members through online communication platforms can help clarify context or terminology, and continuous learning about different dialects or industry-specific jargon can improve accuracy and efficiency.

What is the difference between Remote Speech Recognition Editor vs Transcriptionist?

AspectRemote Speech Recognition EditorTranscriptionist
CredentialsBasic audio editing skills, familiarity with speech recognition softwareTyping speed, accuracy, sometimes certification
Work EnvironmentRemote, computer-based, often collaborative with tech toolsRemote or on-site, primarily individual work
Industry UsageTech, media, AI developmentLegal, medical, general transcription
Search & Comparison IntentUnderstanding technical editing roles in speech recognitionConverting audio to text manually

Remote Speech Recognition Editors focus on refining and editing transcribed speech generated by software, requiring familiarity with speech recognition tools. Transcriptionists manually convert audio recordings into text, emphasizing typing accuracy. While both roles involve working with audio, editors typically work alongside speech recognition technology, whereas transcriptionists rely on manual transcription skills.

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Remote Speech Recognition Editor jobs near you
Infographic showing various Remote Speech Recognition Editor job openings in the United States as of August 2026, with employment types broken down into 33% Full Time, 22% Part Time, and 45% Contract. Highlights an 100% Remote job distribution, with an average salary of $69,294 per year, or $33.3 per hour.

Japanese Audio Transcript Editor - Remote Contract

Alignerr

Remote

$15 - $35/hr

Contractor

Posted 5 days ago

Job description

Japanese Audio Transcript Editor (AI Training)
About the Role
What if your native command of Japanese and your ear for precision could directly improve how AI understands and processes spoken language? We're looking for detail-oriented Japanese Audio Transcript Editors - including members of New York's vibrant Japanese-speaking community - to clean up, correct, and polish audio transcripts, ensuring every word, timestamp, and formatting detail is accurate and consistent.
This is structured, meaningful work at the intersection of language and technology. You'll listen carefully, catch what others miss, and help build the high-quality datasets that teach AI systems to truly understand Japanese speech.
This is a fully remote, flexible contract role. No prior AI experience needed - just native-level Japanese, strong listening skills, and a commitment to word-level accuracy.
  • Organization
    : Alignerr
  • Type
    : Hourly Contract
  • Location
    : Remote
  • Commitment
    : 10-40 hours/week

What You'll Do
  • Listen to Japanese audio recordings and review corresponding transcripts for accuracy
  • Correct errors in transcription - including misheard words, missing segments, incorrect kanji, and punctuation issues
  • Verify and adjust word-level timing and alignment to match the audio precisely
  • Apply detailed style and formatting guidelines consistently across all assignments
  • Flag unclear, ambiguous, or low-quality audio segments according to project protocols
  • Maintain high accuracy and consistency across large volumes of transcript data
  • Work independently and asynchronously - fully on your own schedule

Who You Are
  • Native or near-native fluency in Japanese with excellent listening comprehension
  • Meticulous attention to detail - you notice subtle errors that others overlook
  • Comfortable working with word-level accuracy and exact timing in transcripts
  • Able to follow detailed style guides and formatting rules precisely and consistently
  • Strong reading and writing skills in Japanese, including confident use of kanji, hiragana, and katakana
  • Self-motivated and reliable when working independently
  • Comfortable using web-based tools and audio playback interfaces

Nice to Have
  • Experience as a transcriptionist, court reporter, or captioning/subtitling editor
  • Background in linguistics, language studies, or Japanese language education
  • Prior work with annotation platforms, data labeling tools, or transcription software
  • Experience with closed-captioning workflows or subtitle timing
  • Familiarity with AI training data or speech recognition systems

Why Join Us
  • Work on cutting-edge AI projects alongside leading research labs
  • Fully remote and flexible - work when and where it suits you
  • Freelance autonomy with the structure of meaningful, task-based work
  • Contribute to AI development that directly improves how technology understands Japanese speech
  • Potential for ongoing work and contract extension as new projects launch

Apply