Korean AI Audio Tutor — Multilingual Speech Data

Maven Ventures; United States; Remote; USD 48.000 - 62.000; Vollzeit

Benefits dieser Stelle

Health insurance

401(k) plan

Paid sick leave

Zusammenfassung

SpaceXAI is seeking an AI Tutor specialized in multilingual audio capabilities. You will train and refine Grok for voice interactions, focusing on diverse languages, accents, and cultures. Your work includes curating and annotating high-quality audio data to improve global accessibility and speech processing.

You will collaborate with engineers to enhance annotation tools, ensure clear voice output, and contribute to model training with attention to linguistic nuances and data quality.

Qualifikationen

• Native Korean with diverse accents and regional variations.
• Excellent English (B2 or higher) with clear pronunciation for recording.
• Strong ability to evaluate speech quality and linguistic nuances across languages.
• Experience transcribing multilingual audio with high accuracy.

Aufgaben

• Label, annotate, record, and provide inputs on multilingual audio projects.
• Ensure natural, clear spoken output with accurate prosody and accent representation.
• Collaborate to improve annotation tools and audio workflows for speed and quality.
• Support development tasks that enhance speech processing and model training.

Kenntnisse

Korean proficiency

English proficiency

Auditory perception

Multilingual content handling

High-accuracy transcription

Voice recording quality

Independent judgment

Communication skills

Commitment to multilingual audio AI

Jobbeschreibung

SpaceXAI is seeking an AI Tutor specialized in multilingual audio capabilities. You will train and refine Grok for voice interactions, focusing on diverse languages, accents, and cultures. Your work includes curating and annotating high-quality audio data to improve global accessibility and speech processing.

You will collaborate with engineers to enhance annotation tools, ensure clear voice output, and contribute to model training with attention to linguistic nuances and data quality.