... tutoring systems within a regulated or federal healthcare environment. 3. Familiarity with ... XAI) within a clinical or public health context. About Aptive About Aptive. Aptive partners with ...
... tutoring systems within a regulated or federal healthcare environment. 3. Familiarity with ... XAI) within a clinical or public health context. About Aptive About Aptive. Aptive partners with ...
... tutoring systems within a regulated or federal healthcare environment. 3. Familiarity with ... XAI) within a clinical or public health context. About Aptive About Aptive. Aptive partners with ...
... tutoring systems within a regulated or federal healthcare environment. 3. Familiarity with ... XAI) within a clinical or public health context. About Aptive About Aptive. Aptive partners with ...
Xai Tutor 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 xai tutor jobs pay per hour?
As of Sep 6, 2026, the average hourly pay for xai tutor 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 is a Xai Tutor?
A Xai Tutor is responsible for teaching and assisting users in understanding Explainable AI (XAI) concepts, models, and applications. They help bridge the gap between complex AI decisions and human comprehension by providing clear explanations and guidance. This role may involve creating educational materials, answering user queries, and facilitating discussions on AI transparency and interpretability. Xai Tutors often work with students, professionals, or organizations looking to enhance their understanding of AI models and their decision-making processes.
What are the key skills and qualifications needed to thrive as an Xai Tutor?
To thrive as an XAI Tutor, you need a solid understanding of explainable artificial intelligence concepts, machine learning fundamentals, and instructional design, often backed by a degree in computer science or a related field. Familiarity with platforms like TensorFlow, PyTorch, and educational tools such as LMS (Learning Management Systems) or interactive coding environments is typically expected. Strong communication skills, patience, and the ability to tailor complex concepts for diverse learners are vital soft skills for success. These skills and qualities ensure effective knowledge transfer, foster learner engagement, and support the practical application of XAI principles in real-world scenarios.
What are some common challenges Xai Tutors face, and how can they be addressed?
XAI Tutors often encounter learners with varying levels of technical background, which can make it challenging to present explainability concepts clearly and effectively. Managing evolving AI technologies and staying up-to-date with new research also requires continuous learning and adaptability. To address these challenges, XAI Tutors frequently personalize their teaching approach, utilize interactive examples, and engage in professional development. Collaborating with faculty, other tutors, or technical teams can further enrich the learning experience and ensure material remains relevant and accessible.
How do you become an AI tutor?
To become an AI tutor, you typically need a strong understanding of artificial intelligence, machine learning, or related fields, often supported by a degree or certification. Developing skills in programming languages like Python, familiarity with AI tools and platforms, and experience in teaching or explaining complex concepts are also important for this role.
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The most popular types of Xai Tutor jobs are:
What states have the most Xai Tutor jobs?
States with the most job openings for Xai Tutor jobs include:
What job categories do people searching Xai Tutor jobs look for?
The top searched job categories for Xai Tutor jobs are:
Aptive Environmental rating
5.6
Based on 39 frontline employees who took The Breakroom Quiz
30th of 35 rated pest control companies
Job description
Job Summary
We are seeking a Senior Data Scientist to support the Department of Veterans Affairs (VA) VHA AI Education Hub, a flagship initiative to advance artificial intelligence literacy and capability across the Veterans Health Administration workforce. In this role, you will lead the design, configuration, and optimization of the AI Education Hub platform, develop an intelligent AI learning assistant and sandbox environment, and ensure seamless integration with VA learning and intranet systems. Your work will directly shape how VA clinicians, administrators, and technical staff learn to leverage AI responsibly within one of the nation's largest federal healthcare ecosystems.
The ideal candidate is a self-directed, mission-driven data scientist who thrives at the intersection of advanced machine learning, healthcare data, and large-scale federal technology environments. You bring both deep technical rigor and the communication skills needed to translate complex AI concepts into accessible, policy-aligned educational experiences for a diverse federal workforce.
Primary Responsibilities
Lead the end-to-end design, configuration, and continuous optimization of the VHA AI Education Hub platform, ensuring scalable architecture, reliable access, and robust reporting capabilities aligned with VA technical and policy standards.
Develop, configure, and maintain the AI learning assistant and sandbox environment embedded within the Education Hub, ensuring all AI capabilities are safe, explainable, and compliant with VA AI governance and ethics policies.
Apply supervised, unsupervised, and reinforcement learning techniques to develop and evaluate data models specific to the healthcare domain, including work with synthetic data models and patient cohorts that support workforce training without compromising Veteran data privacy.
Architect and manage integrations between the AI Education Hub and VA learning management systems (LMS), intranet platforms, and enterprise data environments, ensuring seamless authentication, content delivery, and learner analytics across VA systems.
Design, analyze, and validate healthcare-specific data models within cloud-based analytic environments, applying best practices for data quality, lineage, and governance to support AI/ML model development and educational use cases across VHA.
Collaborate with VA stakeholders, contracting officers, and cross-functional technical teams to translate program requirements into actionable data science deliverables, author technical documentation, and present findings and platform performance metrics to government leadership.
Minimum Qualifications
Minimum 8 years of professional experience in data science, machine learning, or a closely related quantitative discipline, with demonstrated experience applying ML techniques in complex, data-rich environments.
Master's Degree in Statistics, Mathematics, Computer Science, Data Science, or a related field from an accredited institution required.
Prior experience supporting federal government agencies or large healthcare organizations, with working knowledge of federal IT policies, data governance frameworks, and health data standards (e.g., HL7, FHIR, or VA-specific data systems).
Ability to obtain and maintain a VA Position of Public Trust clearance (Tier 2 / MBI); current clearance or prior VA system access eligibility strongly preferred.
Must be authorized to work in the United States; this position does not offer visa sponsorship.
Hands-on experience with cloud-based analytic platforms (e.g., AWS GovCloud, Microsoft Azure Government, or equivalent), including deployment of ML models, management of synthetic data environments, and configuration of platform integrations in a secured, policy-governed cloud setting.
Desired Qualifications
1. Experience working directly within VA or VHA programs, including familiarity with VA's Enterprise Data Warehouse (CDW), VA's LMS (TMS), or VA AI/ML governance frameworks such as the VHA AI Strategy or VA Trustworthy AI practices. 2. Demonstrated experience developing or deploying AI-powered learning tools, chatbots, or intelligent tutoring systems within a regulated or federal healthcare environment. 3. Familiarity with synthetic data generation methodologies and privacy-preserving ML techniques (e.g., differential privacy, federated learning) applied to protected health information (PHI) or sensitive federal datasets. 4. Experience authoring Authority to Operate (ATO) documentation, AI risk assessments, or contributing to FedRAMP-authorized platform deployments in support of federal AI initiatives. 5. Publications, presentations, or demonstrated thought leadership in healthcare AI, workforce AI education, or responsible/explainable AI (XAI) within a clinical or public health context.
About Aptive
About Aptive. Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation. We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day. Founded: 2012. Employees: 300+ nationwide.
EEO Statement
Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class. Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply. About Aptive: Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation. We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day. Founded: 2012. Employees: 300+ nationwide.
We are seeking a Senior Data Scientist to support the Department of Veterans Affairs (VA) VHA AI Education Hub, a flagship initiative to advance artificial intelligence literacy and capability across the Veterans Health Administration workforce. In this role, you will lead the design, configuration, and optimization of the AI Education Hub platform, develop an intelligent AI learning assistant and sandbox environment, and ensure seamless integration with VA learning and intranet systems. Your work will directly shape how VA clinicians, administrators, and technical staff learn to leverage AI responsibly within one of the nation's largest federal healthcare ecosystems.
The ideal candidate is a self-directed, mission-driven data scientist who thrives at the intersection of advanced machine learning, healthcare data, and large-scale federal technology environments. You bring both deep technical rigor and the communication skills needed to translate complex AI concepts into accessible, policy-aligned educational experiences for a diverse federal workforce.
Primary Responsibilities
Lead the end-to-end design, configuration, and continuous optimization of the VHA AI Education Hub platform, ensuring scalable architecture, reliable access, and robust reporting capabilities aligned with VA technical and policy standards.
Develop, configure, and maintain the AI learning assistant and sandbox environment embedded within the Education Hub, ensuring all AI capabilities are safe, explainable, and compliant with VA AI governance and ethics policies.
Apply supervised, unsupervised, and reinforcement learning techniques to develop and evaluate data models specific to the healthcare domain, including work with synthetic data models and patient cohorts that support workforce training without compromising Veteran data privacy.
Architect and manage integrations between the AI Education Hub and VA learning management systems (LMS), intranet platforms, and enterprise data environments, ensuring seamless authentication, content delivery, and learner analytics across VA systems.
Design, analyze, and validate healthcare-specific data models within cloud-based analytic environments, applying best practices for data quality, lineage, and governance to support AI/ML model development and educational use cases across VHA.
Collaborate with VA stakeholders, contracting officers, and cross-functional technical teams to translate program requirements into actionable data science deliverables, author technical documentation, and present findings and platform performance metrics to government leadership.
Minimum Qualifications
Minimum 8 years of professional experience in data science, machine learning, or a closely related quantitative discipline, with demonstrated experience applying ML techniques in complex, data-rich environments.
Master's Degree in Statistics, Mathematics, Computer Science, Data Science, or a related field from an accredited institution required.
Prior experience supporting federal government agencies or large healthcare organizations, with working knowledge of federal IT policies, data governance frameworks, and health data standards (e.g., HL7, FHIR, or VA-specific data systems).
Ability to obtain and maintain a VA Position of Public Trust clearance (Tier 2 / MBI); current clearance or prior VA system access eligibility strongly preferred.
Must be authorized to work in the United States; this position does not offer visa sponsorship.
Hands-on experience with cloud-based analytic platforms (e.g., AWS GovCloud, Microsoft Azure Government, or equivalent), including deployment of ML models, management of synthetic data environments, and configuration of platform integrations in a secured, policy-governed cloud setting.
Desired Qualifications
1. Experience working directly within VA or VHA programs, including familiarity with VA's Enterprise Data Warehouse (CDW), VA's LMS (TMS), or VA AI/ML governance frameworks such as the VHA AI Strategy or VA Trustworthy AI practices. 2. Demonstrated experience developing or deploying AI-powered learning tools, chatbots, or intelligent tutoring systems within a regulated or federal healthcare environment. 3. Familiarity with synthetic data generation methodologies and privacy-preserving ML techniques (e.g., differential privacy, federated learning) applied to protected health information (PHI) or sensitive federal datasets. 4. Experience authoring Authority to Operate (ATO) documentation, AI risk assessments, or contributing to FedRAMP-authorized platform deployments in support of federal AI initiatives. 5. Publications, presentations, or demonstrated thought leadership in healthcare AI, workforce AI education, or responsible/explainable AI (XAI) within a clinical or public health context.
About Aptive
About Aptive. Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation. We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day. Founded: 2012. Employees: 300+ nationwide.
EEO Statement
Aptive is an equal opportunity employer. We consider all qualified applicants for employment without regard to race, color, national origin, religion, creed, sex, sexual orientation, gender identity, marital status, parental status, veteran status, age, disability, or any other protected class. Veterans, members of the Reserve and National Guard, and transitioning active-duty service members are highly encouraged to apply. About Aptive: Aptive partners with federal agencies to achieve their missions through improved performance, streamlined operations and enhanced service delivery. Based in Alexandria, Virginia, we support more than a dozen agencies including Veterans Affairs, Transportation, Defense, Homeland Security and the National Science Foundation. We specialize in applying technology, creativity and human-centered services to optimize mission delivery and improve experiences for millions of people who count on government services every day. Founded: 2012. Employees: 300+ nationwide.
What Aptive Environmental employees say
Pay
Benefits
Hours and flexibility
Workplace
Get the full story on Breakroom
About Aptive Environmental
Sourced by ZipRecruiter
Industry
Chemical manufacturing
Company size
1,001 - 5,000 Employees
Headquarters location
Provo, UT, US
Year founded
2015