AI Language Transcription QA Specialist

TSMG; United States; Remote; USD 28,000 - 48,000; Part time

Benefits offered by this job

Flexible project-based work

Guidelines and training provided

Job summary

TSMG 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 transcripts are natural, readable, and aligned with guidelines.

You will focus on formatting, punctuation, capitalization, numbers, dates, currencies, and text normalization, using reference audio when needed to verify ambiguous cases.

Qualifications

• Excellent written skills in English.
• 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.

Responsibilities

• Review completed Display Transcription tasks for accuracy and consistency.
• Compare the Display Transcription against the original transcript and project guidelines.
• Verify correct use of punctuation, capitalization, numbers, dates, times, and currencies.
• Ensure that original words and meaning are preserved.
• Identify and correct formatting or guideline-related errors.
• Use 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 knowledge

Written communication

Independent work

Job description

TSMG 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 transcripts are natural, readable, and aligned with guidelines.

You will focus on formatting, punctuation, capitalization, numbers, dates, currencies, and text normalization, using reference audio when needed to verify ambiguous cases.