Remote AI Voice Tutor — Thai & Multilingual Speech

SpaceXAI; United States; Remote; USD 48,000 - 62,000; Full time

Benefits offered by this job

Health insurance

401(k) plan

Paid sick leave

Job summary

SpaceXAI is seeking an AI Tutor specialized in multilingual audio to curate and annotate audio data for Grok, focusing on voice interactions, speech recognition, and cross-language accuracy. You will work on datasets across languages and accents, ensuring high-quality, natural-sounding outputs.

The role emphasizes independent judgment, attention to linguistic nuances, and collaboration with engineers to refine annotation tools and data pipelines.

Qualifications

• Native Thai with exposure to diverse accents/dialects.
• Proficient English (B2) with clear vocal delivery for recording.
• Strong ability to transcribe and evaluate multilingual speech across accents.
• Experience with multilingual audio data annotation and quality assessment.

Responsibilities

• Label, annotate, record, and input multilingual audio clips using proprietary software.
• Ensure high-quality curated audio data with accurate prosodic details and natural speech output.
• Collaborate with technical staff to improve handling of speech modulation, accents, and noisy recordings.
• Help improve annotation tools and audio workflows for efficiency.

Skills

Thai proficiency

English (B2)

Audio transcription

Multilingual annotation

Attention to detail

Communication skills

Independent judgment

Voice recording feedback

Linguistics background

Education

Linguistics or related field

Speech sciences background

Tools

Annotation software

Proprietary annotation tools

Audio datasets

Job description

SpaceXAI is seeking an AI Tutor specialized in multilingual audio to curate and annotate audio data for Grok, focusing on voice interactions, speech recognition, and cross-language accuracy. You will work on datasets across languages and accents, ensuring high-quality, natural-sounding outputs.

The role emphasizes independent judgment, attention to linguistic nuances, and collaboration with engineers to refine annotation tools and data pipelines.