Audio Transcription Specialist

Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world’s biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.
By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we’re helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany.
Job Title: Audio Transcription Specialist – AI Training
We are seeking detail-oriented and dedicated professionals with hands-on experience in audio transcription and quality assurance. The ideal candidate will be responsible for accurately converting audio content into written text, maintaining high standards of accuracy, consistency, and confidentiality throughout the process.
Key Responsibilities:
Listen carefully to audio recordings and transcribe them into clear, accurate, and grammatically correct text.
Identify and correct transcription errors, ensuring proper spelling, punctuation, and formatting.
Handle different accents, speech clarity levels, and background noises with attention to detail.
Tag and label transcriptions as per project guidelines.
Review, proofread, and edit transcripts for quality, accuracy, and completeness.
Follow client-specific formatting and delivery instructions.
Work closely with project leads and QA teams to meet daily quality and productivity targets.
Maintain confidentiality and data security of all content handled.
Requirements:
Proven experience in audio transcription or related linguistic work.
Excellent command of English and Chinese language with strong grammar and listening skills.
Good typing speed and accuracy with familiarity in transcription tools or software.
Must have a reliable internet connection, functional laptop/desktop, and good-quality headphones (mandatory).
Preferred Qualifications:
Prior experience in AI training, transcription QA, or linguistic data projects.
Familiarity with timestamping, labeling, or annotation tasks.
Experience working with global transcription platforms or large-scale linguistic projects.
Knowledge of speech-to-text software and audio editing tools is an added advantage.

Work arrangement
Yes