Remote Castilian Spanish Transcript Editor for AI Training

Alignerr Corp.; Municipio de Esquel; Remote; ARS 31,324,000 - 52,206,000; Part time

Job summary

Alignerr is seeking precise audio transcript editors for Castilian Spanish to review and refine transcripts used in AI training. This fully remote hourly contract suits detail‑oriented linguists who can spot subtle pronunciation, punctuation, and timestamp issues and apply strict style guidelines.

You’ll work asynchronously on flexible hours (10–40 per week), with tasks needing careful audio alignment and accurate word‑level edits, contributing to high‑quality language data for cutting‑edge

Qualifications

• Native or near-native Castilian Spanish with Spain-specific pronunciation and vocabulary.
• Excellent listening skills to distinguish words in varied audio conditions.
• Detail-oriented with a methodical, patient approach to repetitive precision work.
• Able to follow detailed style guides and formatting rules.
• Strong written communication in Spanish.
• Self-motivated and reliable when working independently.

Responsibilities

• Listen to Castilian Spanish audio and correct transcripts at the word level.
• Fix misheard words, misspellings, punctuation, and formatting.
• Verify and adjust word-level timestamps for precise alignment.
• Apply detailed style and formatting guidelines consistently.
• Flag unclear audio or segments needing review.
• Maintain high accuracy across large transcript volumes.
• Work independently and asynchronously on your schedule.

Skills

Castilian Spanish

Listening skills

Attention to detail

Timing accuracy

Style guides

Spanish writing

Independence

Remote work

Job description

Alignerr is seeking precise audio transcript editors for Castilian Spanish to review and refine transcripts used in AI training. This fully remote hourly contract suits detail‑oriented linguists who can spot subtle pronunciation, punctuation, and timestamp issues and apply strict style guidelines.

You’ll work asynchronously on flexible hours (10–40 per week), with tasks needing careful audio alignment and accurate word‑level edits, contributing to high‑quality language data for cutting‑edge