Quality control specialist for AI/ ML with English (India) language

TSMG Holding; Itanagar; On-site; INR 350,000 - 550,000; Full time

Benefits offered by this job

Flexible project-based work

Clear guidelines and training before起

Job summary

TSMG Holding in India is seeking Quality control specialists to support an AI language project focused on improving speech recognition systems. As a QC contributor, you will review completed language annotation tasks and ensure that AI-generated transcripts are accurate, well-formatted, and ready for display text.

You will follow project guidelines, apply punctuation, capitalization, and text normalization rules, and provide feedback to help maintain quality.

Qualifications

• Excellent written skills in the target language.
• Strong attention to detail and accuracy.
• Good understanding of punctuation, capitalization, and written language conventions.
• Ability to identify inconsistencies and errors in formatted text.
• Ability to follow detailed guidelines and apply them consistently.

Responsibilities

• Review completed Display Transcription tasks for accuracy and consistency.
• Compare the Display Transcription against the original lexical transcript and project guidelines.
• Verify the correct use: punctuation; capitalization; numbers, dates, times, currencies; abbreviations and other text normalization rules.
• Ensure that the original words and meaning have been preserved.
• Identify and correct formatting or guideline-related errors.
• Use the reference audio when necessary to verify ambiguous cases.
• Apply project-specific quality standards consistently.
• Provide accurate feedback and flag recurring issues when required.
• Complete assigned QC tasks within project deadlines and productivity targets.

Job description

About The Project

TSMG is looking for Quality control specialists to support an AI language project focused on improving speech recognition systems.

As a QC contributor, you will review completed language annotation tasks and ensure that AI-generated transcripts have been accurately converted into natural, readable display text according to the project guidelines. You will focus on identifying and correcting formatting, punctuation, capitalization, and text normalization issues.

What You Will Do

• Review completed Display Transcription tasks for accuracy and consistency
• Compare the Display Transcription against the original lexical transcript and project guidelines
• Verify the correct use:
  • punctuation;
  • capitalization;
  • numbers, dates, times, and currencies;
  • abbreviations and other text normalization rules
• Ensure that the original words and meaning have been preserved
• Identify and correct formatting or guideline-related errors
• Use the reference audio when necessary to verify ambiguous cases
• Apply project-specific quality standards consistently
• Provide accurate feedback and flag recurring issues when required
• Complete assigned QC tasks within project deadlines and productivity targets

Requirements

• Excellent written skills in the target language
• Strong attention to detail and accuracy
• Good understanding of punctuation, capitalization, and written language conventions
• Ability to identify inconsistencies and errors in formatted text
• Ability to follow detailed guidelines and apply them consistently
• Basic computer skills and a reliable internet connection
• Ability to work independently and meet quality and productivity targets
• Previous experience in transcription, proofreading, quality control, annotation, or linguistic projects is a plus
• Training and project guidelines will be provided before the project starts

What We Offer

• Opportunity to contribute to the development of AI and speech recognition technologies
• Flexible project-based work
• Clear guidelines and training before starting
• The opportunity to gain experience in AI language data and quality control projects

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.