Audio Transcription QA Specialist

TELUS Digital Philippines; Philippines; On-site; PHP 446,000 - 670,000; Full time

Job summary

TELUS Digital Philippines is seeking an experienced transcription QA specialist to review audio transcripts for accuracy and completeness. You will compare transcripts with original audio, identify errors in spelling, grammar, timing, and formatting, and apply TELUS standards consistently.

The role emphasizes confidentiality and continuous improvement of transcription processes. The ideal candidate has 3+ years in data annotation QA, strong English skills, and excellent listening and analytical

Qualifications

• 3+ years of experience in quality assurance for data annotation or content review.
• Strong English language comprehension.
• Excellent listening and attention to detail.
• Analytical and problem-solving abilities.
• Ability to spot subtle differences between audio and transcripts.
• Strong written communication skills.

Responsibilities

• Review completed audio transcripts for accuracy, completeness, and consistency.
• Compare transcripts against original audio recordings to identify errors or omissions.
• Identify issues related to spelling, punctuation, grammar, speaker identification, timing, and formatting.
• Apply TELUS quality standards and annotation guidelines consistently.
• Categorize and document errors for quality tracking and reporting.
• Provide clear constructive feedback on transcription quality.
• Escalate unclear cases or guideline concerns when needed.
• Support continuous improvement of transcription processes and quality standards.
• Maintain confidentiality of audio recordings, transcripts, and project information.

Job description

TELUS Digital Philippines is seeking an experienced transcription QA specialist to review audio transcripts for accuracy and completeness. You will compare transcripts with original audio, identify errors in spelling, grammar, timing, and formatting, and apply TELUS standards consistently.

The role emphasizes confidentiality and continuous improvement of transcription processes. The ideal candidate has 3+ years in data annotation QA, strong English skills, and excellent listening and analytical