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Full Time Ai Tutor Xai Jobs (NOW HIRING)

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 Infra Resident (1-Year Program)

Palo Alto, CA · On-site

$116K - $148K/yr

About The Role RadixArk is launching a full-time, paid, 1-year residency program for aspiring AI ... Founded by AI infrastructure veterans from xAI and NVIDIA, we're on a mission to democratize ...

Helix AI Engineer, Modeling

San Jose, CA · On-site

$200K - $400K/yr

... xAI * Familiarity with embodied AI, robotics, or real-world ML systems * Experience with large ... full-time position is between $200,000 - $400,000 The pay offered for this position may vary based ...

... xAI * Experience with multimodal pretraining (vision-language or vision-language-action models ... full-time position is between $200,000 - $400,000 The pay offered for this position may vary based ...

... of xAI's hyperscale AI compute facilities. This role will own the full lifecycle of mission ... This is a full-time, primarily onsite role with significant travel to project sites and vendor ...

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Full Time Ai Tutor Xai information

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How much do full time ai tutor xai jobs pay per hour?

As of Aug 9, 2026, the average hourly pay for full time 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 are the key skills and qualifications needed to thrive as a full time AI tutor XAI?

To thrive as a Full Time AI Tutor specializing in Explainable AI (XAI), you need a strong background in computer science, machine learning concepts, and a deep understanding of XAI methodologies, often supported by relevant degrees or certifications. Familiarity with tools like TensorFlow, PyTorch, SHAP, LIME, and data visualization platforms is typically required. Excellent communication, problem-solving skills, and the ability to simplify complex technical concepts for diverse audiences set top performers apart. These skills ensure effective education, foster trust in AI systems, and empower users to make informed decisions based on AI outputs.

What is the difference between Full Time Ai Tutor Xai vs Part Time Ai Tutor Xai?

AspectFull Time Ai Tutor XaiPart Time Ai Tutor Xai
Work HoursTypically 35-40 hours per weekLess than 20 hours per week
CredentialsRequires relevant certifications in AI and tutoringMay require similar certifications but with less emphasis
Work EnvironmentFull-time employment, often in educational institutions or online platformsFlexible, often freelance or part-time online roles
Employer UsageEmployed by educational companies or institutionsOften contracted or freelance roles with multiple clients

Full Time Ai Tutor Xai typically involves a standard workweek with stable employment, while Part Time Ai Tutor Xai offers flexible hours and freelance opportunities. Both roles require relevant AI and tutoring certifications, but full-time positions often demand more consistent availability and employer commitment.

What are some typical challenges faced by full time AI tutors specializing in explainable AI (XAI), and how can they overcome them?

Full Time AI Tutors in XAI often encounter the challenge of translating complex machine learning concepts into clear, accessible explanations for a diverse audience. They must stay updated on rapidly evolving XAI techniques while adapting their teaching methods to cater to different learning styles. Collaborating with data scientists, engineers, and non-technical stakeholders is common, requiring strong communication and interdisciplinary skills. Overcoming these challenges involves continuous learning, leveraging interactive tools, and fostering open dialogue to ensure learners truly grasp the principles of explainable AI.

What is a full time AI tutor XAI?

A Full Time AI Tutor XAI is a professional specializing in educating others about artificial intelligence (AI) with a focus on Explainable AI (XAI). Their role involves teaching students, professionals, or organizations how AI systems work, how to interpret AI decisions, and the importance of transparency in AI models. They may develop educational materials, conduct workshops, and provide one-on-one or group instruction. Additionally, they help bridge the gap between complex AI technologies and users by making AI concepts more understandable and accessible.
More about Full Time Ai Tutor Xai jobs
What cities are hiring for Full Time Ai Tutor Xai jobs? Cities with the most Full Time 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 Full Time Ai Tutor Xai jobs? States with the most job openings for Full Time Ai Tutor Xai jobs include:
Infographic showing various Full Time Ai Tutor Xai job openings in the United States as of August 2026, with employment types broken down into 74% Full Time, 22% Part Time, and 4% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $42,053 per year, or $20.2 per hour.

Full-time

Re-posted 12 days ago


SpaceX rating

8.8

Company rating: 8.8 out of 10

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.

What SpaceX employees say

Pay

Benefits

Hours and flexibility

Workplace

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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