AI Language QC Specialist — Portuguese (Brazil)

TSMG Holding; Indiana; Remote; USD 40,000 - 60,000; Full time

Job summary

TSMG Holding seeks Quality control specialists to support an AI language project focused on improving speech recognition systems. As a QC contributor, you review language annotation tasks to ensure transcripts are accurate, readable, and align with project guidelines.

You will focus on formatting, punctuation, capitalization, numbers, dates, currencies, abbreviations, and text normalization, using reference audio when needed, and providing feedback to flag recurring issues.

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 follow detailed guidelines.
• Basic computer skills and a reliable internet connection.
• 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.

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

Excellent written skills

Attention to detail

Punctuation and capitalization

Guidelines compliance

Basic computer skills

Job description

TSMG Holding seeks Quality control specialists to support an AI language project focused on improving speech recognition systems. As a QC contributor, you review language annotation tasks to ensure transcripts are accurate, readable, and align with project guidelines.

You will focus on formatting, punctuation, capitalization, numbers, dates, currencies, abbreviations, and text normalization, using reference audio when needed, and providing feedback to flag recurring issues.