ZipRecruiter

Log In

1

Explainable Ai Jobs (NOW HIRING)

MANTECH

Senior AI Policy Analyst

Columbia, MD · On-site

Conduct thorough research and analysis of emerging AI technologies, including Generative AI, Quantum AI, and Explainable AI, and their policy implications. * Collaborate with government leads and AI ...

MANTECH

Senior AI Policy Analyst

Columbia, MD · On-site

Conduct thorough research and analysis of emerging AI technologies, including Generative AI, Quantum AI, and Explainable AI, and their policy implications. * Collaborate with government leads and AI ...

Protiviti

AI & Workforce Signals Analyst

Atlanta, GA

Develop explainable AI outputs that help leaders understand not just what is happening in the workforce, but why. * Build agentic AI workflows that automate and augmentpeopleanalytics processes (e.g ...

next page

Showing results 1-20

All JobsExplainable Ai Jobs

Explainable Ai information

See salary details

$71.5K

$112K

$156.5K

How much do explainable ai jobs pay per year?

As of Jul 2, 2026, the average yearly pay for explainable ai in the United States is $112,009.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,500.00 and $127,000.00 per year, depending on experience, location, and employer.

What is the difference between Explainable Ai vs Data Scientist?

AspectExplainable AiData Scientist
CredentialsTypically requires knowledge of AI, machine learning, and data analysis; certifications like AI or ML courses are commonRequires degrees in computer science, statistics, or related fields; certifications in data analysis or machine learning are beneficial
Work EnvironmentWorks within AI development teams, focusing on model transparency and interpretabilityWorks across data analysis, model building, and business insights, often in research or corporate settings
Industry UsageUsed in AI development, healthcare, finance, and any field requiring transparent AI modelsApplied in tech, finance, healthcare, and research for data-driven decision making

Explainable Ai focuses on making AI models transparent and understandable, ensuring trust and compliance. Data Scientists develop and analyze models, often working with complex data. While both roles involve AI and data, Explainable Ai specialists emphasize interpretability, whereas Data Scientists focus on model creation and insights.

What are some of the typical challenges faced when working in Explainable AI and how do professionals address them?

Professionals in Explainable AI often encounter challenges such as balancing model accuracy with interpretability, translating complex model outputs into understandable insights for non-technical stakeholders, and ensuring transparency without compromising sensitive data. Addressing these issues typically involves using specialized tools and frameworks for visualization, collaborating closely with data scientists, domain experts, and business teams, and staying updated on the latest research in model interpretability. Continuous learning and open communication are key to overcoming these challenges and delivering AI solutions that are both effective and trustworthy.

What is a $900000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior AI researcher, machine learning director, or AI solutions architect, often requiring advanced skills in data science, programming, and deep learning. These roles usually involve leadership responsibilities, strategic planning, and expertise in tools like Python, TensorFlow, or PyTorch, and may require relevant certifications or advanced degrees. Compensation at this level reflects significant experience and impact within the organization.

What degree is needed for XAI jobs?

Explainable AI (XAI) jobs typically require a bachelor's degree in computer science, data science, or a related field, with many roles preferring or requiring a master's or Ph.D. in artificial intelligence, machine learning, or a similar discipline. Strong programming skills, knowledge of machine learning frameworks, and understanding of model interpretability are also important for these roles.

What is the highest paying AI job?

The highest paying AI jobs typically include roles such as AI research director, machine learning engineer, and AI solutions architect, often requiring advanced degrees and expertise in deep learning, natural language processing, or computer vision. These positions can offer salaries exceeding $150,000 annually, especially in tech hubs or large organizations with specialized AI needs.

What are the key skills and qualifications needed to thrive as an Explainable AI specialist, and why are they important?

To thrive as an Explainable AI specialist, you need a strong background in machine learning, data science, and statistics, typically with an advanced degree in computer science or a related field. Familiarity with frameworks such as TensorFlow, PyTorch, and libraries like LIME or SHAP, as well as experience in model interpretability tools, is essential. Strong analytical thinking, effective communication, and the ability to translate complex technical concepts for non-technical stakeholders are crucial soft skills. These capabilities ensure that AI models are transparent, trustworthy, and can be responsibly integrated into decision-making processes.

What is Explainable AI?

Explainable AI (XAI) refers to methods and techniques in artificial intelligence that make the results of AI models understandable and interpretable by humans. XAI aims to provide transparency into how AI systems make decisions, helping users trust and effectively manage AI applications. This is especially important in fields like healthcare, finance, and law, where understanding the reasoning behind AI-driven outcomes can be crucial for accountability and compliance. By making AI more transparent, XAI also helps identify and address biases or errors in AI systems.

Which 3 jobs will survive AI?

Explainable AI specialists, data scientists, and AI ethics professionals are likely to continue thriving as AI advances, because their roles involve understanding, interpreting, and ensuring transparency of AI systems. These jobs require critical thinking, domain expertise, and communication skills that are difficult to automate fully. Continuous learning and familiarity with AI tools and frameworks are essential for these roles to remain relevant.
More about Explainable Ai jobs
What cities are hiring for Explainable Ai jobs? Cities with the most Explainable Ai job openings:
What states have the most Explainable Ai jobs? States with the most job openings for Explainable Ai jobs include:
What job categories do people searching Explainable Ai jobs look for? The top searched job categories for Explainable Ai jobs are:
Explainable Ai jobs near you
Infographic showing various Explainable Ai job openings in the United States as of June 2026, with employment types broken down into 75% Full Time, 22% Part Time, and 3% Contract. Highlights an 66% Physical, 3% Hybrid, and 31% Remote job distribution, with an average salary of $112,009 per year, or $53.9 per hour.
Research Assistant-AI Driven Disaster and Emergency Management System

Research Assistant-AI Driven Disaster and Emergency Management System

Angelo State University

San Angelo, TX • On-site

$15 - $20/hr

Full-time

Posted 16 days ago

Angelo State University rating

6.0

Company rating: 6.0 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

492nd of 544 rated colleges and universities

Job description

Position Details
Position Information
Job Title
Research Assistant-AI Driven Disaster and Emergency Management System
Position Type
Student
Division
Academic Affairs
Department
Computer Science
Essential Duties
Computer Science is seeking highly motivated undergraduate or graduate research assistants (GRA) to contribute to a cutting-edge, interdisciplinary research project focused on developing an AI-enabled, secure, and interoperable disaster and emergency management platform. The project addresses critical challenges observed in large-scale disasters-such as delayed alerts, lack of coordination among agencies, and limited use of intelligent decision-support systems-by integrating knowledge graphs, explainable AI (XAI), real-time alerting, LLM-based interaction, and cybersecurity/privacy mechanisms.
Key Responsibilities
  • Collect, preprocess, and manage heterogeneous data from sensors, system logs, policy documents, and open-source disaster datasets.
  • Design and implement a unifi ed knowledge graph-based data model for data integration and interoperability.
  • Develop and evaluate AI/ML models tailored to diff erent stakeholders (e.g., fi rst responders, government agencies, researchers).
  • Integrate Explainable AI (XAI) techniques to provide transparent and interpretable decision support.
  • Contribute to the development of a real-time smart alert and communication system.
  • Assist in building an LLM-based conversational interface for natural language interaction with the platform.
  • Implement and evaluate security and privacy mechanisms for secure data sharing and system access.
  • Participate in system testing using the TEEX Disaster City testbed and other benchmark datasets.
  • Contribute to technical reports, research papers, presentations, and proposal development.

Required Qualifications
  • Must be a currently enrolled student, registered for classes, in an undergraduate or graduate program in Computer Science, AI, Cybersecurity, Data Science, or a closely related field.
  • Strong programming skills in Python.
  • Knowledge of machine learning or deep learning.
  • Familiarity with data structures, databases, and basic software development practices.
  • Ability to work both independently and collaboratively in a research environment.

Preferred Qualifications
  • Experience with knowledge graphs, graph databases, or semantic web technologies (e.g., RDF, SPARQL, Neo4j).
  • Background in natural language processing, LLMs, or information extraction.
  • Familiarity with XAI, cybersecurity, privacy-preserving methods, or distributed systems.
  • Experience with cloud platforms, real-time data processing, or IoT data.
  • Prior research experience and interest in publishing.

Physical Demands
Salary
$15-$20/hour
EEO Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information, or status as a protected veteran.
In compliance with the Americans with Disabilities Act (ADA), Angelo State University is committed to providing reasonable accommodations to ensure equal access to employment opportunities for qualified individuals with disabilities. We are committed to ensuring that a qualified individual with a disability has the same rights and privileges in employment as non-disabled employees. If an accommodation is requested for the job application process, please contact our office at (325) 942-2168 or email us at hr@angelo.edu.
Posting Detail Information
Posting Number
Number of Vacancies
1
Open Date
03/18/2026
Close Date
Open Until Filled
Yes
Special Instructions to Applicant
In the "Other" application documents needed:
* Statement of research interest
*(Optional) Links to GitHub, publications, or prior projects
Questions: Dr. Erdogan Dogdu (erdogan.dogdu@angelo.edu)

What Angelo State University employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply