Flexible AI Language QC Specialist

TSMG; United States; Remote; USD 52,000 - 76,000; Full time

Job summary

TSMG is seeking Quality control specialists to support an AI language project focused on improving speech recognition systems. You will review completed language annotation tasks and ensure that AI-generated transcripts are natural, readable, and correctly formatted according to project guidelines.

You will verify punctuation, capitalization, numbers, dates, times, currencies, and text normalization, using reference audio when needed, and provide clear feedback to help improve data quality and

Qualifications

• Excellent written skills in the target language.
• Strong attention to detail and accuracy.
• Ability to follow detailed guidelines.

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.
• 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.

Skills

Attention to detail

Punctuation & capitalization

Written language conventions

Guide compliance

Independent work

Basic computer skills

Productivity targets

Guideline training

Job description

TSMG is seeking Quality control specialists to support an AI language project focused on improving speech recognition systems. You will review completed language annotation tasks and ensure that AI-generated transcripts are natural, readable, and correctly formatted according to project guidelines.

You will verify punctuation, capitalization, numbers, dates, times, currencies, and text normalization, using reference audio when needed, and provide clear feedback to help improve data quality and