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Xai Jobs (NOW HIRING)

SpaceXAI

Site Operations Manager

Memphis, TN · On-site

Job Summary : xAI is dedicated to creating AI systems that enhance human understanding and knowledge. As the Site Operations Manager, you'll oversee the data center technicians, ensuring the AI ...

SpaceXAI

Mobile iOS Engineer

Manhattan, NY · On-site

$57 - $78.50/hr

Job Summary : xAI is on a mission to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. They are seeking an exceptional iOS engineer to join a ...

SpaceXAI

Sr. IT Data Engineer

Palo Alto, CA · On-site

$124K - $169K/yr

Job Summary : xAI is dedicated to creating AI systems that enhance humanity's understanding of the universe. The Sr. IT Data Engineer will lead data strategy, implement ETL patterns, and collaborate ...

SpaceXAI

Mobile iOS Engineer

Palo Alto, CA · On-site

$61 - $83.75/hr

Job Summary : xAI's mission is to create AI systems that can accurately understand the universe and aid humanity in its pursuit of knowledge. They are seeking an exceptional iOS engineer to join a ...

SpaceXAI

Mobile iOS Engineer

Manhattan, NY · On-site

$154K/yr

Job Summary : xAI is focused on creating AI systems that understand the universe and aid humanity. They are seeking an exceptional iOS engineer to join a small, high-impact team dedicated to creating ...

SpaceXAI

Member of Technical Staff - Ads

Palo Alto, CA · On-site

Job Summary : xAI is a company dedicated to creating AI systems that enhance understanding of the universe and support humanity's quest for knowledge. They are seeking exceptional engineers to ...

SpaceXAI

Data Center Operations Technician

Memphis, TN · On-site

Job Summary : xAI is focused on creating AI systems that aid humanity in its pursuit of knowledge. The Data Center Operations Technician will be responsible for maintaining the health of server and ...

SpaceXAI

Member of Technical Staff - Voice Product

$170K - $197K/yr

Job Summary : xAI is focused on creating AI systems that can understand the universe and aid humanity. The Member of Technical Staff for the Voice Product team will design, build, and ship voice ...

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Xai information

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$46.5K

$94.5K

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How much do xai jobs pay per year?

As of Jul 22, 2026, the average yearly pay for xai in the United States is $94,542.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,000.00 and $95,500.00 per year, depending on experience, location, and employer.

How much do xAI tutors get paid?

xAI tutors typically earn between $15 and $25 per hour, depending on experience, subject expertise, and the platform they work for. Compensation may also vary based on the number of sessions conducted and additional qualifications such as teaching certifications or specialized skills.

What is the average salary for xAI jobs?

The average salary for xAI-related jobs varies depending on the role, experience, and location, but generally ranges from $80,000 to $150,000 annually for positions such as AI engineers, data scientists, and machine learning specialists. Senior roles or those requiring advanced skills in AI frameworks and programming languages like Python or TensorFlow tend to offer higher compensation.

What is a Xai job?

A Xai job typically involves working with Explainable AI (XAI), which focuses on making AI models more transparent and interpretable. Professionals in this role develop methods to help users understand how AI systems make decisions, ensuring fairness, accountability, and trust. Responsibilities may include researching interpretability techniques, implementing explainability frameworks, and collaborating with data scientists and engineers. These roles are common in industries like healthcare, finance, and autonomous systems, where understanding AI decisions is critical.

What are XAI (Explainable Artificial Intelligence) specialists?

XAI (Explainable Artificial Intelligence) specialists are professionals who focus on developing and implementing AI systems that can be easily understood and interpreted by humans. Their main goal is to make machine learning models transparent and explainable, ensuring that users, stakeholders, and regulators can trust and understand the decision-making process of AI systems. XAI specialists often work closely with data scientists, engineers, and ethicists to create models that balance performance with interpretability. They also help organizations comply with regulations that require transparency in automated decision-making. Their work is essential in industries like healthcare, finance, and legal services, where understanding AI decisions is critical.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as AI research director, senior machine learning engineer, or AI architect, often requiring advanced skills in programming, data analysis, and deep learning. These roles usually involve leadership responsibilities, extensive experience, and may be found in large tech companies or specialized AI firms with competitive compensation packages.

What is the difference between Xai vs Data Analyst?

AspectXaiData Analyst
Required CredentialsTypically requires a degree in data science, statistics, or related fields; certifications like Certified Analytics Professional (CAP) are commonUsually requires a degree in statistics, mathematics, or related fields; certifications like Microsoft Certified Data Analyst are beneficial
Work EnvironmentOften works in tech companies, research labs, or AI-focused organizationsWorks across various industries including finance, marketing, healthcare, often in office settings
Employer & Industry UsagePrimarily employed in AI, machine learning, and data science projectsEmployed in business intelligence, reporting, and data-driven decision-making

While both Xai and Data Analyst roles involve working with data, Xai focuses on explainable AI models and understanding AI decision processes, whereas Data Analysts primarily analyze data to generate reports and insights. The roles overlap in data handling and require similar credentials, but their core focus and work environments differ.

What are the main challenges faced by professionals working in Explainable AI (XAI) roles?

Professionals in Explainable AI (XAI) roles often encounter the challenge of balancing model accuracy with interpretability, as more complex models can be harder to explain. They also need to communicate technical findings to non-technical stakeholders, requiring strong collaboration and communication skills. Working in XAI typically involves close teamwork with data scientists, machine learning engineers, and domain experts to ensure that AI systems are both effective and transparent. Navigating evolving regulatory and ethical standards is another important aspect of the role.

What are the key skills and qualifications needed to thrive as an Explainable AI (XAI) Specialist, and why are they important?

To thrive as an Explainable AI (XAI) Specialist, you need a solid background in machine learning, statistics, and computer science, often supported by an advanced degree in a related field. Familiarity with technical tools such as Python, TensorFlow, PyTorch, and specialized XAI libraries like LIME or SHAP, as well as knowledge of relevant regulatory standards, is crucial. Strong communication, problem-solving, and interdisciplinary collaboration skills help translate complex AI models into understandable insights for diverse stakeholders. These abilities ensure that AI systems are transparent, trustworthy, and effectively integrated into real-world applications.

Does xAI offer remote jobs?

xAI, as a company, may offer remote job opportunities depending on the role and department. Many tech and AI companies provide remote work options, especially for positions involving software development, data analysis, and research. Job seekers should check the company's official careers page for specific remote work policies and openings.
More about Xai jobs
What cities are hiring for Xai jobs? Cities with the most Xai job openings:
What are the most commonly searched types of Xai jobs? The most popular types of Xai jobs are:
What states have the most Xai jobs? States with the most job openings for Xai jobs include:
What job categories do people searching Xai jobs look for? The top searched job categories for Xai jobs are:
Xai jobs near you
Infographic showing various Xai job openings in the United States as of July 2026, with employment types broken down into 96% Full Time, and 4% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $94,542 per year, or $45.5 per hour.

Site Operations Manager

SpaceXAI

Memphis, TN • On-site

Full-time

Posted 6 days ago

Job description

Job Summary:
xAI is dedicated to creating AI systems that enhance human understanding and knowledge. As the Site Operations Manager, you'll oversee the data center technicians, ensuring the AI infrastructure operates efficiently while implementing sustainable solutions and managing critical operations.
Responsibilities:
• Oversee Site Operations: Manage power, cooling, networking, and hardware deployments to ensure 99.999% uptime for xAI’s AI compute systems, keeping our infrastructure reliable and ready for innovation.
• Guide Your Team: Lead and develop a team of Data Center Operations Technicians through training, performance evaluations, and fostering a collaborative, high-performing environment tied to xAI’s objectives.
• Streamline Processes: Take charge of hardware lifecycles, incident resolution, and inventory management, refining procedures to ensure your team operates with precision and consistency.
• Connect Key Players: Coordinate between technicians, xAI’s AI specialists, and external vendors to integrate new technology and expand capacity seamlessly.
• Drive Sustainable Solutions: Champion energy-efficient practices and sustainability efforts, optimizing resources while supporting the demands of cutting-edge AI workloads.
• Measure Success: Track and report key metrics like uptime, power efficiency, and issue resolution times, using data to enhance site performance and inform decisions.
• Handle Emergencies: Lead the team through urgent situations with clear direction, resolving issues quickly to protect our AI systems from disruption.
• Optimize Operations: Build and refine processes—such as preventative maintenance schedules with vendors and ticket workflows in Jira—to keep operations efficient and scalable.
• Support Expansion: Work with leadership to standardize best practices across sites (if applicable), ensuring operations align with xAI’s ambitious growth plans.
Qualifications:
Required:
• 5+ years of experience in data center operations or similar critical environments, with 3+ years managing technical teams.
• Proven ability to lead teams effectively in fast-paced, high-responsibility settings.
• Solid expertise in server hardware, cabling, and data center technologies, from setup to lifecycle management.
• Ability to thrive in a dynamic, mission-focused environment with occasional on-call duties.
• Willingness to travel to data center locations as needed to support operations.
• Physical capability to handle data center tasks, including lifting up to 50 lbs, standing for long periods, and occasional ladder use.
Preferred:
• Experience supporting compute-heavy environments like AI, machine learning, or high-performance computing.
• Proficiency with tools like Jira and managing collaborative workflows across teams.
• Strong analytical skills and the ability to explain technical concepts clearly to diverse audiences.
• Familiarity with scripting (e.g., Python, Bash) to automate tasks and boost team efficiency.
• A history of partnering with vendors, scaling operations, and advancing sustainability initiatives.
• Enthusiasm for xAI’s mission to accelerate human discovery and unravel the universe.
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.

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