Speech Data Transcriber (Part-Time)

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