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Part Time Xai Jobs (NOW HIRING)

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How much do part time xai jobs pay per hour?

As of Sep 1, 2026, the average hourly pay for part time xai in the United States is $15.82, according to ZipRecruiter salary data. Most workers in this role earn between $12.98 and $16.59 per hour, depending on experience, location, and employer.

What is a part-time XAI job?

Part-time XAI jobs involve working with systems and models that make artificial intelligence more understandable and transparent to humans, typically on a flexible or reduced-hour schedule. These roles may include tasks such as developing explainable machine learning algorithms, creating visualizations for AI decisions, or evaluating AI models for fairness and transparency. Part-time positions can be found in industries like healthcare, finance, and tech, and may involve research, coding, or consulting. This flexibility allows professionals to contribute to the growing field of AI ethics and interpretability while balancing other commitments.

What are common challenges faced by part-time AI specialists and how can they be addressed?

Part-time AI specialists often face the challenge of staying updated with rapidly evolving technologies while managing limited work hours. Balancing project deadlines and learning new tools can be demanding. Effective time management, prioritizing tasks, and leveraging collaborative platforms can help. Regular communication with the team ensures alignment and maximizes productivity, even in a reduced schedule.

What are the key skills and qualifications needed to thrive as a part-time AI engineer, and why are they important?

To thrive as a Part-Time AI Engineer, you need solid programming skills (such as Python), a background in mathematics or computer science, and familiarity with machine learning concepts. Experience with tools like TensorFlow, PyTorch, and cloud platforms, along with relevant certifications (e.g., in data science or AI), is highly valued. Strong problem-solving, communication, and adaptability help you collaborate effectively and manage tasks efficiently in a limited timeframe. These skills ensure you can contribute meaningfully to AI projects, even in a part-time capacity, while adapting to rapidly evolving technologies.

What is the difference between Part Time Xai vs Part Time Data Analyst?

AspectPart Time XaiPart Time Data Analyst
Required CredentialsRelevant certifications in XAI, basic data analysis skillsDegree in Data Science, Statistics, or related field; certifications preferred
Work EnvironmentRemote or flexible, project-basedOffice or remote, depending on employer
Industry UsageAI and machine learning companies, tech startupsBusiness, finance, healthcare, and tech sectors
Common Search/ComparisonYesYes

Part Time Xai roles focus on explainable AI tasks, requiring knowledge of AI models and basic data skills, often in tech environments. Part Time Data Analysts handle data interpretation across various industries. While both roles involve data, XAI positions emphasize AI model transparency, making them distinct in skills and industry focus.

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What job categories do people searching Part Time Xai jobs look for?

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Part Time Xai jobs near you
Infographic showing various Part Time Xai job openings in the United States as of August 2026, with employment types broken down into 100% Part Time. Highlights an 100% In-person job distribution, with an average salary of $32,900 per year, or $15.8 per hour.

AI-ML Modeling, Simulation and Analysis Engineer Senior 112-052

Chantilly, VA • On-site

IC-CAP LLC
Computer Systems Design Services • 11 - 50 employees
Learn more about IC-CAP LLCexternal

$107K - $146K/yr

Part-time

Re-posted 6 days ago

Job description

Part-Time Position
Senior Level Modeling, Simulation and Analysis (MS&A) Engineers guide and conduct modeling, simulation and analysis activities in support of business stakeholders, analysts, and warfighters to define and analyze system and data requirements to support NGA business and mission processes to ensure timely and accurate GEOINT. This position is focused on providing technical advisory support to identify capability gaps and needs, tools, technologies, and new agile methods and techniques ready to adapt to current innovations within AI R&D particularly verification of AI models.
Duties include:
  • Perform Gap analysis and methodologies to identify the implications of artificial intelligence and machine learning for the future of warfare, and the specific defense and security applications (e.g., intelligence analysis, command and control, targeting, autonomous systems, information operations, training and simulation) where AI will be most impactful.
  • Assists in creating and leading Analysis of Alternatives (AoAs), Design of Experiments (DoE), Course of Actions (CoAs), Trade Studies, and Engineering Assessments.
  • Assists the Government in strategic technical planning, project management, performance engineering, risk management and interface design.
  • Assists with the planning, analysis/traceability of user requirements, architectures traceability, procedures, and problems to automate or improve existing systems and review cloud service capabilities, workflow, and scheduling limitations
  • Experience in both quantitative and qualitative analysis to support sound metrics to uphold the confidence of the AI model assurance.
  • Assists Government in the creation of foundation of AI Assurance capabilities, including thorough formal methods for trusted and trustworthy eXplainable AI (XAI) and /or Independent Verification & Validation methodologies (IV&V) for AI (beyond T&E), T&E/V&V-As-a-Service
  • Work with leaders, scientists, and engineers across NGA, NSG, the (IC, ASG and US Government contractors for advancing, coordinating, and executing corporate AI strategies and goalsparticularly centered around Verified-AI (IV&V) and XAI.

Education and Experience
Required:
  • 12 to 18 years of experience
  • Masters degree in Computer Science, Computer Vision, Artificial Intelligence, Machine Learning, or related STEM degree program, or equivalent Senior level experience as a MS&A Engineer.
  • Demonstrated experience in of AI Assurance, T&E or V&V-As-a-Service, and XAI.
  • Demonstrated experience providing engineering solutions using Automation, Augmentation and Artificial Intelligence technologies.
  • Demonstrated experience using Test Driven Development leveraging computer programming languages to include but not limited to; Python, C++, Matlab, R, Java
  • Demonstrated experience of IV&V and the T&E status quo for AI models.

Desired:
  • Demonstrated experience working with NGA Enterprise solutions to include CI/CD pipeline and DevSecOps
  • Demonstrated experience in SAFe framework and Model Based Systems Engineering
  • Demonstrated experience in Atlassian products such as Confluence and JIRA
  • Demonstrated experience with engineering solutions using Cloud-based technologies.
  • Demonstrated experience with engineering solutions using structured and unstructured Big Data.

Security Clearance:
  • Active TS/SCI Clearance and the willingness to sit for a CI polygraph, if needed

IC-CAP provides equal employment opportunities (EEO) to all applicants for employment without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, genetic information, marital status.

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