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Ai Monitoring Jobs in Nebraska (NOW HIRING)

Monitor legal and regulatory activity regarding applicable local, state, and federal privacy laws ... Support Orion's AI governance program from a privacy perspective, helping implement privacy ...

Monitor legal and regulatory activity regarding applicable local, state, and federal privacy laws ... Support Orion's AI governance program from a privacy perspective, helping implement privacy ...

Senior AI Solutions Engineer

Omaha, NE ยท On-site

$128K - $216K/yr

... monitoring, and iteration * Serve as the hands-on expert for Anthropic's Claude platform, Microsoft 365 Copilot, Copilot Studio, and the broader Microsoft agent ecosystem * Build custom agents ...

Senior Finance AI & Automation Developer

Omaha, NE ยท On-site +1

$95K - $142K/yr

The position will also monitor performance of automations & AI solutions as well as identify additional use cases and scale successful pilots. Responsibilities may also include other adhoc tasks such ...

A.I. Transformation Lead

Omaha, NE ยท On-site

$141K - $225K/yr

Monitor AI system performance, accuracy, and business impact post implementation. * Ensure AI solutions comply with ethical standards, regulatory requirements, data privacy policies, and internal ...

Monitor AI system performance, accuracy, and business impact post implementation. * Ensure AI solutions comply with ethical standards, regulatory requirements, data privacy policies, and internal ...

NE

$115K/yr

... monitor operational performance, identify improvement opportunities, and communicate findings to stakeholders Preferred Qualifications: * Demonstrated ability to integrate AI tools to optimize ...

Technical Analyst - SRE

Omaha, NE ยท On-site

$100 - $150/hr

Establish end-user experience monitoring -- detect when the member or provider experience breaks, not just when infrastructure telemetry alerts * Leverage AI and AIOps tooling for incident triage ...

New

Technical Analyst - SRE

Omaha, NE ยท On-site

$90 - $120/hr

Establish end-user experience monitoring -- detect when the member or provider experience breaks, not just when infrastructure telemetry alerts* Leverage AI and AIOps tooling for incident triage ...

New

Showing results 41-60

Ai Monitoring information

What is AI monitoring?

AI monitoring refers to the process of continuously observing and analyzing artificial intelligence systems to ensure they operate as intended. This includes tracking performance, detecting anomalies, ensuring compliance with ethical guidelines, and identifying potential biases or errors. Effective AI monitoring helps organizations maintain transparency, improve system reliability, and ensure that AI models make fair and accurate decisions. It is essential in applications where AI impacts critical business or societal outcomes.

What are some common challenges faced by professionals in AI monitoring roles, and how can they be addressed?

Professionals in AI Monitoring often encounter challenges such as managing large volumes of data, identifying and responding to atypical model behavior, and ensuring compliance with ethical and regulatory standards. Staying updated on the latest AI trends and best practices, utilizing robust monitoring tools, and collaborating closely with data scientists and engineers can help address these challenges. Regular training and open communication within cross-functional teams are also essential to maintain effective oversight and quickly mitigate potential issues.

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

To thrive as an AI Monitoring Specialist, you need a solid understanding of data analysis, machine learning concepts, and system monitoring, often supported by a degree in computer science or a related field. Familiarity with monitoring platforms like Datadog, Prometheus, or Splunk, as well as experience with scripting languages and AI model management tools, is typically required. Attention to detail, critical thinking, and strong communication skills help specialists identify issues quickly and collaborate with technical teams. These skills and qualities are crucial for ensuring AI systems operate reliably, securely, and efficiently in real-world applications.

What is the difference between Ai Monitoring vs Data Analyst?

AspectAi MonitoringData Analyst
Required CredentialsTypically requires knowledge of AI systems, programming, and data analysis toolsRequires statistical, analytical, and data visualization skills, often with a degree in data science or related fields
Work EnvironmentOften involves monitoring AI systems in real-time, using specialized software, in tech or AI-focused companiesAnalyzes data sets, creates reports, and provides insights, working in various industries like finance, marketing, or healthcare
Employer & Industry UsageCommon in AI development firms, tech companies, and organizations deploying AI solutionsWidely used across industries for decision-making, reporting, and strategic planning

While both roles involve working with data, Ai Monitoring focuses on overseeing AI system performance and ensuring operational accuracy, whereas Data Analysts interpret data to support business decisions. Understanding these differences helps in choosing the right career path or job search focus.

What job categories do people searching Ai Monitoring jobs in Nebraska look for?

The top searched job categories for Ai Monitoring jobs in Nebraska are:

Infographic showing various Ai Monitoring job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 13% Part Time, and 5% Contract. Highlights an 91% Physical, 4% Hybrid, and 5% Remote job distribution.

Senior AI Engineer with Security Clearance

Caribou Thunder, LLC

Omaha, NE โ€ข On-site

$109K - $150K/yr

Other

Medical, Dental, Vision, Retirement, PTO

This job post hasย expired 1 day ago.ย Applications are no longer accepted.


Job description

AI / Machine Learning Engineer Mid-Level / Senior Level | $90,000 - $110,000 | Onsite | Top Secret Clearance Required | U.S. Citizenship Required Support the modernization of strategic defense mission systems by developing advanced Artificial Intelligence (AI) and Machine Learning (ML) capabilities for U.S. Strategic Command (USSTRATCOM). Join a multidisciplinary engineering team responsible for designing intelligent software solutions, developing machine learning models, and integrating AI-driven capabilities into mission planning and command and control (C2) systems. Youll also help advance AI adoption across the engineering lifecycle by enabling automation, improving developer productivity, and supporting next-generation software development practices. A Day in the Life - What youll do * Design, develop, and deploy Artificial Intelligence (AI) and Machine Learning (ML) solutions supporting strategic mission planning and command and control (C2) systems. * Develop machine learning models, predictive algorithms, and data analytics solutions that improve mission effectiveness and operational decision-making. * Analyze structured and unstructured data to identify trends, generate insights, and support data-driven engineering decisions. * Develop software applications and automation tools using Python and modern AI/ML frameworks. * Integrate AI and ML capabilities into existing operational mission systems while ensuring performance, security, and reliability requirements are met. * Collaborate closely with systems engineers, software developers, architects, product owners, Scrum Masters, and government stakeholders throughout the software development lifecycle. * Evaluate, test, validate, and optimize AI/ML models to improve model accuracy, scalability, and operational performance. * Support the implementation of MLOps practices for model deployment, versioning, monitoring, and lifecycle management. * Research emerging AI technologies, machine learning techniques, and generative AI capabilities to identify opportunities for mission modernization. * Serve as an AI/ML technical resource by identifying opportunities to automate engineering workflows, software development, testing, and documentation throughout the engineering lifecycle. * Develop technical documentation, model documentation, and engineering artifacts supporting AI/ML implementation and sustainment. * Present AI/ML concepts, technical findings, and implementation strategies to engineering teams, program leadership, and government customers. Required Qualifications * Bachelors degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence, or a related STEM (Science, Technology, Engineering, or Mathematics) discipline from an accredited university. * U.S. Citizenship required. * Active DoD Top Secret security clearance or the ability to obtain and maintain a Top Secret clearance with required special access. * Demonstrated experience developing algorithms and solving complex analytical problems using Python. * Experience designing, developing, or integrating Artificial Intelligence and Machine Learning solutions. * Familiarity integrating AI/ML capabilities into operational software or mission systems. * Strong understanding of machine learning concepts, data analytics, and statistical modeling techniques. * Strong analytical, problem-solving, and software development skills. * Ability to collaborate effectively across multidisciplinary engineering teams. * Strong written and verbal communication skills. Preferred Qualifications * Experience supporting U.S. Strategic Command (USSTRATCOM) missions including Intelligence, Mission Planning, or Command & Control (C2). * Experience implementing MLOps pipelines and machine learning lifecycle management. * Experience applying AI and machine learning throughout the software or systems engineering lifecycle. * Experience using Generative AI tools to improve software development, engineering productivity, or code generation. * Experience evaluating, validating, and testing AI/ML models in operational environments. * Experience supporting Air Force Nuclear Weapons Center (AFNWC) systems including: * Strategic Mission Planning and Execution System (SMPES) * Mission Planning and Analysis System (MPAS) * Nuclear Planning and Execution System (NPES) * Experience developing AI-enabled automation for software engineering or DevSecOps workflows. * Experience working with modern AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies. * Experience supporting classified Department of Defense software development programs. Who is Caribou Thunder? Caribou Thunder is a HUBZone-certified small business providing advanced technical and engineering services to the U.S. Department of Defense and its mission partners. 35+ states and 20+ countries. Weve delivered trusted solutions for over two decades-strengthening national readiness across missions on land, undersea, in the air, and throughout LEO, MEO, GEO, and deep space. Why Caribou Thunder? TEAM THUNDER - Mission Focused. Delivery Proven. Ready to Serve. * Employee Advocacy * Mission Proven * Global Reach * Skilled Teams * Modern Tools * Empowering Culture Our engineers and innovators ensure capability from sea floor to space frontier-delivering on time, maintaining compliance, and performing with precision in high-consequence environments. We specialize in Artificial Intelligence, Machine Learning, Data Science, Software Development, DevSecOps, Cybersecurity, Digital Engineering, and Modeling & Simulation-disciplines powering the nations most complex technical missions. Employee Advocacy + Benefits Our people are the heart of Caribou Thunder. We invest in their growth, flexibility, and well-being-knowing their success drives ours. Benefits include: * Premium Health, Dental & Vision Insurance * 401(k) with 6% Company Match * Flexible PTO & Work Schedule * Education & Certification Reimbursement * Support for Military Leave * Work-Life Balance & Traditional Family Values Your future, your flexibility, your well-being-we invest in you. Apply and lets connect.