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 ...
... or deploying AI-powered learning tools, chatbots, or intelligent tutoring systems within a ... XAI) within a clinical or public health context. About Aptive About Aptive. Aptive partners with ...
... or deploying AI-powered learning tools, chatbots, or intelligent tutoring systems within a ... XAI) within a clinical or public health context. About Aptive About Aptive. Aptive partners with ...
... or deploying AI-powered learning tools, chatbots, or intelligent tutoring systems within a ... XAI) within a clinical or public health context. About Aptive About Aptive. Aptive partners with ...
... or deploying AI-powered learning tools, chatbots, or intelligent tutoring systems within a ... XAI) within a clinical or public health context. About Aptive About Aptive. Aptive partners with ...
Ai Tutor Xai information
See salary details
$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 Aug 10, 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 an AI Tutor XAI do?
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.
How do you become an AI Tutor Xai?
To become an AI Tutor Xai, candidates typically need a background in computer science, artificial intelligence, or related fields, along with strong communication skills. Gaining experience with AI tools, machine learning concepts, and educational platforms can be beneficial, and some roles may require certifications in AI or teaching credentials. Continuous learning and staying updated on AI advancements are important for success in this role.
What are the key skills and qualifications needed to thrive as an AI Tutor XAI?
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?
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.
More about Ai Tutor Xai jobs
What cities are hiring for Ai Tutor Xai jobs? Cities with the most Ai Tutor Xai job openings:
What are the most commonly searched types of Ai Tutor Xai jobs? The most popular types of Ai Tutor Xai jobs are:
What states have the most Ai Tutor Xai jobs? States with the most job openings for Ai Tutor Xai jobs include:
What job categories do people searching Ai Tutor Xai jobs look for? The top searched job categories for Ai Tutor Xai jobs are:
SpaceX rating
8.8
Based on 147 frontline employees who took The Breakroom Quiz
15th of 72 rated aerospace companies
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:
SpaceXAI develops AI software and computational infrastructure designed for scientific discovery, automated reasoning, and data processing. It is a sub-organization of SpaceX. Founded in 2023, the company is headquartered in Palo Alto, USA, 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:
SpaceXAI develops AI software and computational infrastructure designed for scientific discovery, automated reasoning, and data processing. It is a sub-organization of SpaceX. Founded in 2023, the company is headquartered in Palo Alto, USA, with a team of 1001-5000 employees. The company is currently Late Stage.
About SpaceX
Sourced by ZipRecruiter
Industry
Aerospace product and parts manufacturing, data services, guided missile and space vehicle manufacturing and satellite telecommunications
Company size
1,001 - 5,000 Employees
Headquarters location
Hawthorne, CA, US