Remote Word Alignment Specialist - Precise Transcription

ARGOS MULTILINGUAL, INC; Cebu City; Remote; PHP 335,000 - 603,000; Full time

Job summary

ARGOS MULTILINGUAL, INC is seeking a detail-oriented Word Alignment Specialist to support cutting-edge AI speech technologies. This remote role involves reviewing audio recordings and transcripts to ensure accurate alignment and annotation according to project guidelines.

Ideal candidates have excellent English listening skills, strong attention to detail, and experience in transcription, annotation, QA, or speech data projects.

Qualifications

• Excellent English language proficiency with strong listening and comprehension skills.
• Ability to accurately identify spoken words and speech sounds in audio recordings.
• Strong attention to detail and commitment to high-quality work.
• Ability to follow detailed instructions and annotation guidelines consistently.
• Comfortable working with audio files, waveforms, and online annotation tools.
• Reliable computer, quality headphones, and stable internet connection.

Responsibilities

• Adjust word timestamps with millisecond-level accuracy using specialized annotation tools.
• Review and correct automated transcripts to accurately reflect the spoken audio.
• Split merged words, combine incorrectly separated words, and remove non-relevant silent segments.
• Identify and tag vocal events such as laughter, sighs, breaths, and pauses.
• Follow detailed annotation guidelines and quality standards.
• Deliver accurate, consistent work within project timelines.

Skills

Listening skills

Attention to detail

Independent work

Following guidelines

Remote work setup

Tools

Annotation tools

Job description

ARGOS MULTILINGUAL, INC is seeking a detail-oriented Word Alignment Specialist to support cutting-edge AI speech technologies. This remote role involves reviewing audio recordings and transcripts to ensure accurate alignment and annotation according to project guidelines.

Ideal candidates have excellent English listening skills, strong attention to detail, and experience in transcription, annotation, QA, or speech data projects.