Innodata (NASDAQ: INOD) is a leading data engineering company serving over 2,000 customers globally, with operations in 13 cities. We are a trusted AI technology solutions provider for four out of five of the world’s largest technology companies, as well as prominent organizations across financial services, insurance, technology, law, and medicine. By integrating advanced machine learning and artificial intelligence technologies with a global team of subject matter experts and a secure infrastructure, Innodata is driving the future of AI. Our workforce of more than 5,000 employees spans the United States, Canada, the United Kingdom, the Philippines, India, Sri Lanka, Israel, and Germany.

We are currently seeking language professionals who possess strong listening skills and can accurately transcribe spoken conversations from audio clips. This role involves careful attention to spelling, punctuation, and linguistic context to support AI systems in better recognizing and interpreting human speech. The position is freelance, remote, and offers flexible working hours, making it ideal for individuals looking to contribute to cutting-edge AI development on a flexible schedule.

Key Responsibilities:
- Listen to audio recordings and transcribe spoken Tosk Albanian into written text with high accuracy.
- Identify and capture spoken words, phrases, and sentences while preserving the original meaning and context.
- Ensure transcripts adhere to specified spelling, grammar, punctuation, and formatting standards.
- Recognize and interpret various speech patterns, accents, pronunciation differences, and natural conversational expressions.
- Review transcripts thoroughly to detect and correct missing words, misheard phrases, and transcription errors.
- Follow project-specific transcription guidelines to maintain consistency and quality.
- Manage challenging audio segments, including unclear speech and background noise, using prescribed transcription procedures.
- Contribute to the enhancement of AI-powered speech recognition and language technologies through precise transcription work.

Required Qualifications:
- Native or fluent proficiency in Punjabi and English.
- Strong listening comprehension skills with the ability to accurately understand spoken language.
- Excellent written language skills, including spelling, grammar, and punctuation.
- High level of concentration and attention to detail when reviewing audio recordings.
- Previous experience in audio transcription, speech recognition, data annotation, translation, linguistic evaluation, or quality assurance is advantageous.

This role offers a unique opportunity to be part of the evolving AI landscape by applying your linguistic expertise to improve speech recognition technologies. If you have excellent Punjabi listening and transcription skills and are passionate about contributing to AI innovation, we encourage you to apply and join us in shaping the future of artificial intelligence.

Job Details

Total Positions:
1 Post
Job Shift:
First Shift (Day)
Job Type:
Job Location:
Gender:
No Preference
Age:
18 - 65 Years
Career Level:
Mid-Level
Maximum Experience:
5 Years
Apply Before:
Oct 17, 2026
Posting Date:
Oct 11, 2026

Innodata Inc.

· 11-50 employees -

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