Job Summary : xAI is focused on creating AI systems that enhance human understanding and knowledge. They are seeking an AI Tutor specialized in multilingual audio capabilities to train and refine ...
Job Summary : xAI is focused on creating AI systems that enhance human understanding and knowledge. They are seeking an AI Tutor specialized in multilingual audio capabilities to train and refine ...
Ai Tutor Xai information
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$8.17 - $10.38
5% of jobs
$10.38 - $12.59
6% of jobs
$14.43 is the 25th percentile. Wages below this are outliers.
$12.59 - $14.79
16% of jobs
$14.79 - $17
15% of jobs
The median wage is $17.97 / hr.
$17 - $19.21
17% of jobs
$19.21 - $21.42
11% of jobs
$21.42 - $23.62
4% of jobs
$23.78 is the 75th percentile. Wages above this are outliers.
$23.62 - $25.83
7% of jobs
$25.83 - $28.04
4% of jobs
$28.04 - $30.24
13% of jobs
$30.24 - $32.45
1% of jobs
$8
$20
$32
How much do ai tutor xai jobs pay per hour?
As of Jul 19, 2026, the average hourly pay for ai tutor xai in the United States is $20.22, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $24.04 per hour, depending on experience, location, and employer.
What does a typical day look like for an AI Tutor XAI, and who do they generally work with?
A typical day for an AI Tutor XAI involves preparing and conducting instructional sessions that focus on core AI concepts and methods for making AI models more interpretable and transparent. You will collaborate closely with students, adult learners, or professionals, often as part of online learning platforms, bootcamps, or corporate training teams. Additionally, you may develop course materials, assess learning progress, and offer personalized guidance to support students in mastering both the technical and ethical aspects of XAI. Regular interaction with fellow tutors, curriculum developers, and AI practitioners is common, fostering a collaborative and supportive work environment.
What are the key skills and qualifications needed to thrive in the Ai Tutor Xai position, and why are they important?
To excel as an AI Tutor XAI, you need a strong understanding of artificial intelligence principles, machine learning algorithms, and explainable AI (XAI) methodologies, often demonstrated through a relevant degree or prior experience. Familiarity with tools such as Python, TensorFlow, PyTorch, and XAI libraries, alongside certifications like TensorFlow Developer or similar credentials, is highly valuable. Outstanding communication skills, patience, and the ability to convey complex technical concepts in a clear, approachable manner set top performers apart. These competencies ensure effective knowledge transfer to learners, fostering their understanding of both AI techniques and the importance of interpretability in machine learning models.
What is an AI Tutor XAI job?
An AI Tutor XAI (Explainable AI) professional helps users understand and interact with AI systems by providing clear explanations of how decisions are made. They work to make AI models more transparent, ensuring users can trust and interpret machine learning outcomes. This role involves educating stakeholders, improving AI interpretability, and refining models for better clarity. AI Tutor XAI professionals often collaborate with data scientists, developers, and business leaders to bridge the gap between AI technology and human comprehension.
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Full-time
Posted 21 days ago
Job description
Job Summary:
xAI is focused on creating AI systems that enhance human understanding and knowledge. They are seeking an AI Tutor specialized in multilingual audio capabilities to train and refine their AI model, Grok, in voice interactions and speech recognition across various languages and cultural contexts.
Responsibilities:
• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
• Work with technical staff to improve annotation tools for efficient audio workflows.
Qualifications:
Required:
• Native proficiency in Arabic with exposure to diverse accents, dialects, or regional variations.
• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.
• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.
• Commitment to developing AI that masters sophisticated multilingual audio capabilities.
Preferred:
• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
• Deep understanding and taste of what good/useful Audio data is.
• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.
• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.
Company:
Understand the Universe. Founded in 2023, the company is headquartered in , , with a team of 1001-5000 employees. The company is currently Late Stage.
xAI is focused on creating AI systems that enhance human understanding and knowledge. They are seeking an AI Tutor specialized in multilingual audio capabilities to train and refine their AI model, Grok, in voice interactions and speech recognition across various languages and cultural contexts.
Responsibilities:
• Use proprietary software to provide labels, annotations, recordings, and inputs on projects involving multilingual audio clips, voice recordings, speech samples, and auditory elements in various languages.
• Support the delivery of high-quality curated audio data that ensures clear, natural spoken output, accurate representation of linguistic and prosodic details (such as intonation, rhythm, and accent), and professional audio standards.
• Collaborate with technical staff to develop tasks that improve AI's ability to handle speech modulation, accent variation, noise in real-world recordings, and multilingual audio processing.
• Work with technical staff to improve annotation tools for efficient audio workflows.
Qualifications:
Required:
• Native proficiency in Arabic with exposure to diverse accents, dialects, or regional variations.
• Proficiency in English (minimum B2 level) with clear, natural vocal delivery and pronunciation suitable for audio recording purposes.
• Strong auditory perception to identify nuances in speech, accents, pronunciation, intonation, and audio quality across languages.
• Demonstrated ability to handle multilingual audio content, including evaluating speech accuracy, cultural vocal expressions, and contextual interpretation in spoken form.
• Demonstrated ability to transcribe audio with high accuracy across accents and varying audio quality.
• Comfort providing high-quality voice recordings and feedback on audio samples in multiple languages.
• Strong comprehension skills and the ability to make independent judgments on ambiguous or varied audio material, including noisy or accented speech.
• Strong communication, interpersonal, analytical, detail-oriented, and organizational skills, with the ability to articulate audio-related feedback effectively.
• Commitment to developing AI that masters sophisticated multilingual audio capabilities.
Preferred:
• Demonstration of exceptional attention to linguistic nuance, auditory detail, and data quality beyond standard transcription work.
• Deep understanding and taste of what good/useful Audio data is.
• Strong command of advanced transcription and annotation practices, including handling disfluencies, accents, and prosodic features (intonation, stress, rhythm, emotion, etc) with high consistency and accuracy.
• Background in linguistics (e.g., phonetics, phonology, sociolinguistics), speech sciences, cognitive science, or a related field, or equivalent practical experience, with demonstrated ability to analyze accent variation, pronunciation differences, and multilingual speech patterns.
• Experience working with speech/audio datasets, annotation workflows, or AI training data, including knowledge/experience with training voice models, and an understanding of how data quality impacts model performance.
• Professional experience in voice work, including voice acting, voice recording, podcasting with a measurable audience (e.g., X following), or similar audio production demonstrating attention to clarity and recording quality.
• Demonstrated ability to exercise independent judgment in ambiguous audio scenarios and make consistent, defensible annotation decisions.
• Portfolio (strongly preferred for advanced candidates): Voice samples, annotated transcripts, or audio-related work demonstrating quality, methodology, and attention to detail.
• Candidates with professional experience in voice, linguistics, speech data, or speech evaluation and research are especially encouraged to apply.
Company:
Understand the Universe. Founded in 2023, the company is headquartered in , , with a team of 1001-5000 employees. The company is currently Late Stage.