Speech Data Transcriber (Part-Time)
San Francisco, Califonia, US
- Pay
$31.88–43.18Period not stated — pay source
Compensation $31.88 - $43.18 Additional Information
Read the full posting
What you’ll work on
Full postingEnsure transcription accuracy against acoustic speech recordings, following internal quality standards.
Maintain consistency and reliability in labeling across large datasets.
Work closely with speech data scientists, linguists, and engineers to refine transcription and labeling processes.
From the employer’s posting
Generate and review transcriptions using internal ASR and transcription systems. Ensure transcription accuracy against acoustic speech recordings, following internal quality standards. Classify utterances, speaker turns, and dialogue contexts.
Classify utterances, speaker turns, and dialogue contexts. Maintain consistency and reliability in labeling across large datasets. Wake Word Detection (WWD) Transcription
Collaboration Work closely with speech data scientists, linguists, and engineers to refine transcription and labeling processes. Support iterative updates to ASR/EPD tools through accurate, consistent annotations.
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- Pay
Compensation $31.88 - $43.18 Additional Information
- Location & working pattern
San Francisco, Califonia, US
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Posting history
- Status in our records
- Active
- First seen by us
- Sep 10, 2026
- Recorded sightings
- 1
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About Us
42dot is a mobility AI company committed to solving mobility challenges with software and AI. As the Global Software Center of Hyundai Motor Group, 42dot pioneers the future of mobility by advancing the development of software-defined vehicles.
We develop safety-first, user-centric software-defined vehicle technologies that deliver the latest performance through continuous updates like smartphones. By advancing software and AI technology, 42dot envisions a world where everything is connected and moves autonomously through a self-managing urban transportation operating system.
We are hiring part-time transcribers to support our speech data and ASR (Automatic Speech Recognition) systems. We are filling multiple positions — at least one per language — and strongly prefer candidates who are bilingual or trilingual across our target languages:
North American English
Latin American Spanish
Canadian French
Candidates should be comfortable working with a wide range of accents within each language, including both native and non-native (foreign-accented) speech.
Responsibilities
Transcription & Text Labeling
Generate and review transcriptions using internal ASR and transcription systems.
Ensure transcription accuracy against acoustic speech recordings, following internal quality standards.
Classify utterances, speaker turns, and dialogue contexts.
Maintain consistency and reliability in labeling across large datasets.
Wake Word Detection (WWD) Transcription
Identify and annotate target wake word(s) within audio files.
Mark precise onset (start) and offset (end) times of target wake words with high temporal accuracy.
End-Point Detection (EPD) Transcription
Identify and annotate precise word and phrase boundaries in the acoustic speech signal.
Quality Assurance & Annotation Guidelines
Follow detailed annotation guides and project-specific instructions.
Flag guideline ambiguities and suggest improvements.
Conduct regular cross-checks to maintain labeling quality and standardization.
Collaboration
Work closely with speech data scientists, linguists, and engineers to refine transcription and labeling processes.
Support iterative updates to ASR/EPD tools through accurate, consistent annotations.
Qualifications
Native, bilingual, or multilingual proficiency in one or more of: North American English, Latin American Spanish, Canadian French. Bilingual or trilingual candidates strongly preferred.
Demonstrated comfort transcribing a range of accents within the language(s) above, including both native and foreign/non-native accents.
Comfortable transcribing points of interest (POIs), geographic references, and navigation/wayfinding terminology (e.g., street names, landmarks, directions).
Comfortable working with computers and transcription software/tools.
Preferred Qualifications
Familiarity with personal names across a wide range of languages and cultures, particularly those common among immigrant communities in North America.
Experience transcribing real-world / naturalistic speech data (e.g., call center audio, voice assistant recordings, field recordings) — as opposed to studio- or lab-recorded speech.
Prior experience with speech data annotation, labeling, or transcription for ASR or similar systems.
Education
Bachelor's degree, or currently pursuing an undergraduate degree, in Linguistics; Speech, Language, and Hearing Sciences; Communication Sciences; Language Studies; or a related field or equivalent hands on experience
Interview Process
Application Review - Test - 1st interview - 2nd interview - Offer Negotiation - Hiring
The screening procedures may vary depending on the position, schedule, or other circumstances.
You will be individually notified of the screening schedule and results via the email address provided in your application.
Compensation
$31.88 - $43.18
Additional Information
In accordance with fair hiring practices, do not include any personal information unrelated to your job qualifications (e.g., Social Security Number, family relations, marital status, age, photo, physical condition, place of birth, etc.) in your resume.
All documents must be submitted in PDF format and under 30MB in size.
If you experience issues uploading your resume, please send it along with the job posting URL to recruit@42dot.ai.
We strongly encourage applications from U.S. veterans and candidates eligible for employment preference under applicable laws.
Qualified individuals with disabilities are encouraged to apply and will receive consideration under the Americans with Disabilities Act (ADA).
42dot does not accept unsolicited resumes and will not pay fees for any such submissions. Equal Opportunity Statement
42dot is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees, regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.
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