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Ai Model Jobs in Nebraska (NOW HIRING)

You will work on integrating large language model solutions into enterprise systems, ensuring they ... Azure AI services, cognitive services). * Programming Skills: Proficiency in at least one ...

You will work on integrating large language model solutions into enterprise systems, ensuring they ... Azure AI services, cognitive services). Programming Skills: Proficiency in at least one programming ...

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Your work will shape how models learn, reason, and perform through high-quality, real-world input ... No prior experience in AI is required -- your domain knowledge is what matters. Scope of Work

Data Analysis & Model Development -Assess data readiness, quality, and governance to support AI initiatives. -Design and guide the development of AI/ML models tailored to specific business challenges ...

$70K - $100K/yr

You will select the right machine learning models, frameworks (like TensorFlow or PyTorch), and ... Stay ahead of emerging AI trends and articulate a clear vision for how we can leverage them to ...

Data Analysis & Model Development -Assess data readiness, quality, and governance to support AI initiatives. -Design and guide the development of AI/ML models tailored to specific business challenges ...

$70K - $100K/yr

You will select the right machine learning models, frameworks (like TensorFlow or PyTorch), and ... Stay ahead of emerging AI trends and articulate a clear vision for how we can leverage them to ...

New

Solve complex problems while ensuring protection of data, models, and systems. Hands-On AI Security Engineering Actively contribute to architecture, design, and development of AI/ML and GenAI systems ...

Senior AI Solutions Engineer

Omaha, NE ยท On-site

$128K - $216K/yr

Job Title Senior AI Solutions Engineer About the role As a Senior AI Solutions Engineer, you will ... Evaluate new models, frameworks, and platform releases as they land and make clear, opinionated ...

Summary As an AI Engineer, you will play a critical role in designing, building, and deploying ... You will develop end to end intelligent agents that orchestrate large language models (LLMs), tools ...

Our AI / ML Engineer role sits at the center of that work: building, operating, and scaling the AI ... Track the fast-moving foundation model and agent tooling landscape, and bring what's genuinely ...

AI / ML Engineer

Lincoln, NE ยท On-site

$95 - $130/hr

Our AI / ML Engineer role sits at the center of that work: building, operating, and scaling the AI ... Track the fast-moving foundation model and agent tooling landscape, and bring what's genuinely ...

Showing results 41-60

Ai Model information

What is an AI model?

AI models are computer programs designed to simulate human intelligence by learning patterns from data and making predictions or decisions based on that learning. These models can perform a variety of tasks, such as recognizing speech, translating languages, analyzing images, and generating text. AI models are created using machine learning algorithms and are trained on large datasets to improve their accuracy and performance. Popular examples include neural networks, decision trees, and support vector machines. The effectiveness of an AI model depends on the quality of the data, the chosen algorithm, and the training process.

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

To excel as an AI Model Developer, you need strong programming skills (especially in Python), a solid understanding of machine learning algorithms, and typically a degree in computer science, data science, or a related field. Familiarity with ML frameworks like TensorFlow or PyTorch, cloud platforms, and relevant certifications such as TensorFlow Developer or AWS Machine Learning Specialty are valuable. Critical thinking, continuous learning, and effective collaboration with interdisciplinary teams are key soft skills for success. These competencies enable the creation of accurate, reliable AI models that can effectively solve complex real-world problems.

What are some common challenges faced by professionals working as AI model developers, and how can they address them?

Professionals working as AI Model developers often encounter challenges such as managing large and complex datasets, ensuring model accuracy, and addressing issues of bias in algorithms. They may also need to balance the trade-off between model performance and interpretability, especially when deploying models in production environments. To overcome these challenges, AI Model developers typically collaborate closely with data engineers, domain experts, and other stakeholders, regularly validate their models, and stay updated with the latest advancements in the field to adopt best practices.

What is the difference between Ai Model vs Data Scientist?

AspectAi ModelData Scientist
Required CredentialsKnowledge of machine learning, programming skills, sometimes certifications in AI/MLDegree in data science, statistics, computer science; certifications beneficial
Work EnvironmentFocus on developing, training, and deploying AI modelsData analysis, interpretation, and visualization; often collaborates with AI teams
Industry UsageUsed in AI development, automation, and predictive modelingApplied across industries for insights, reporting, and decision-making

While both roles involve working with data and algorithms, an Ai Model primarily focuses on creating and refining AI systems, whereas a Data Scientist analyzes data to generate insights and supports AI development. The roles often overlap but serve distinct functions within the data and AI ecosystem.

What is the easiest AI Model job to get into?

Entry-level AI model jobs often include roles such as data annotator or junior machine learning assistant, which typically require basic programming skills in Python and understanding of data labeling. These positions usually have lower experience requirements and may offer on-the-job training, making them accessible for beginners entering the AI field.

What are popular job titles related to Ai Model jobs in Nebraska?

For Ai Model jobs in Nebraska, the most frequently searched job titles are:

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

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

What cities in Nebraska are hiring for Ai Model jobs?

Cities in Nebraska with the most Ai Model job openings:

Infographic showing various Ai Model job openings in Nebraska as of August 2026, with employment types broken down into 66% Full Time, 19% Part Time, and 15% Contract. Highlights an 92% In-person, and 8% Remote job distribution.

Principal Physics Consultant - AI Training

micro1 AI

Omaha, NE โ€ข Remote

$80 - $160/hr

Part-time

Posted 20 days ago


Job description

Role Title: Physics Expert (Professor / Principal Investigator)


Role Type: Contractor.


Location: Remote


micro1 is engaging Physics Expertsโ€”established Professors or Principal Investigatorsโ€”to provide high-level domain guidance as part of an impactful project for a customer. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required โ€” your domain knowledge is what matters.


Scope of Work

  1. Adjudicate and render expert judgment on contested or competing physics arguments, solutions, or interpretations within your subfield.
  2. Compare alternative approaches to the same problem, detailing which is superior, under what assumptions, and in which regimes.
  3. Identify and articulate meta-level criteria for evaluating the robustness and validity of competing physics work, such as key assumptions and breaking points of approximations.
  4. Exercise calibrated confidence by providing authoritative assessments while transparently acknowledging genuine uncertainty or open questions in the field.
  5. Draft defensible written evaluations suitable for review by fellow senior physicists, ensuring clarity and rigor.
  6. Leverage technical tools such as LaTeX, SymPy, Python, and Jupyter to verify or contrast technical claims as needed.
  7. Clearly communicate when a question is unresolved within the field and delineate the pertinent considerations.


Preferred Qualifications

  1. PhD in physics with demonstrated expertise and scholarly impact in your specified subfield.
  2. Current or former Associate Professor, Full Professor, Chair Professor, or Principal Investigator/Group Leader with a track record of independent research leadership.
  3. Ongoing research activity in one or more of these areas: High Energy Physics, Mathematical Physics, Biophysics, Statistical Physics, Condensed Matter, AMO/Quantum Optics, Gravitation, Cosmology, Astrophysics, Quantum Information, or Optical Properties of Materials.
  4. 3โ€“5 recent representative publications in your target subfield, with arXiv or DOI references.
  5. Prior experience supervising PhD students or postdocs, or equivalent leadership in industry research settings.
  6. Proficiency with LaTeX, SymPy, Python, and Jupyter (please indicate any gaps in experience with these tools).
  7. Exceptional written communication skills, with the ability to articulate nuanced and well-reasoned judgments.