AI Language QC Specialist — Transcription Normalization

Remote; San Francisco (CA); Remote; USD 34,000 - 52,000; Full time

Benefits offered by this job

AI language projects

Flexible projects

Guidelines & training

Experience in AI QC

Job summary

TSMG is seeking Quality control specialists to support an AI language project aimed at improving speech recognition systems. As a QC contributor, you will review completed language annotation tasks and ensure AI transcripts are natural, readable, and aligned with project guidelines.

You will focus on formatting, punctuation, capitalization, numbers, dates, times, currencies, and text normalization, ensuring the original meaning is preserved.

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.
• Training and project guidelines will be provided before the project starts.

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 of: 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.

Job description

TSMG is seeking Quality control specialists to support an AI language project aimed at improving speech recognition systems. As a QC contributor, you will review completed language annotation tasks and ensure AI transcripts are natural, readable, and aligned with project guidelines.

You will focus on formatting, punctuation, capitalization, numbers, dates, times, currencies, and text normalization, ensuring the original meaning is preserved.