AI Tutor – Swedish

Details

As an AI Tutor specializing in multilingual audio capabilities, you will help train and refine Grok for voice interactions, speech recognition, and auditory experiences across languages, accents, and cultural contexts. The work involves curating and annotating high-quality audio data to improve global accessibility, natural spoken interactions, speech processing, and the handling of multilingual audio nuances.

Responsibilities

• Use proprietary software to provide labels, annotations, recordings, and inputs for projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements.
• Support the delivery of curated audio data with accurate linguistic and prosodic details, including intonation, rhythm, and accent, while maintaining professional audio standards.
• Collaborate with technical staff to develop tasks that improve AI handling of speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
• Work with technical staff to improve annotation tools and audio workflows.

Requirements

• Native Swedish proficiency, with exposure to diverse accents, dialects, or regional variations.
• English proficiency at a minimum B2 level, with clear, natural vocal delivery and pronunciation suitable for audio recording.
• Strong auditory perception for identifying nuances in speech, accents, pronunciation, intonation, and audio quality.
• Ability to handle multilingual audio content, evaluate speech accuracy and cultural vocal expressions, and interpret spoken context.
• Ability to transcribe audio accurately across accents and varying audio quality.
• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
• Strong comprehension, independent judgment, communication, interpersonal, analytical, detail-oriented, and organizational skills.
• Commitment to developing sophisticated multilingual audio capabilities for AI.

Preferred Skills And Experience

• Exceptional attention to linguistic nuance, auditory detail, and data quality.
• Strong understanding of high-quality and useful audio data.
• Advanced transcription and annotation experience, including disfluencies, accents, and prosodic features such as intonation, stress, rhythm, and emotion.
• Background in linguistics, phonetics, phonology, sociolinguistics, speech sciences, cognitive science, or a related field, or equivalent practical experience.
• Experience with speech or audio datasets, annotation workflows, AI training data, voice model training, or understanding how data quality affects model performance.
• Professional voice experience, such as voice acting, voice recording, podcasting with a measurable audience, or similar audio production.
• Ability to make consistent, defensible annotation decisions in ambiguous audio scenarios.
• A portfolio of voice samples, annotated transcripts, or audio-related work is strongly preferred for advanced candidates.

Work Arrangement And Eligibility

• Roles may be full-time, part-time, or contractor positions, depending on role needs and candidate fit.
• Contractor hours vary based on project scope and availability. Most projects may require at least 10 hours per week, although this is not a fixed commitment. Contractors can set their own hours.
• Work may be performed remotely from any location worldwide, subject to legal eligibility, time-zone compatibility, and role-specific needs.
• US-based candidates cannot be hired in Wyoming or Illinois.
• Visa sponsorship is not provided.
• Personal devices must be a Chromebook, a Mac running macOS 11.0 or later, or a computer running Windows 10 or later.

Compensation And Benefits

• US-based candidates: $35–$45 per hour, depending on relevant experience, skills, education, geographic location, and qualifications.
• Compensation information for international candidates will be provided during recruitment.
• Benefits vary by employment type, location, and jurisdiction. Eligible US-based positions may include health insurance, a 401(k) plan, and paid sick leave.