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 Hindi 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.