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Ai Model Jobs in Nebraska (NOW HIRING)

Medical Billing Specialist

Omaha, NE ยท Remote

$50 - $80/hr

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

New

Computational Biologist - AI Reviewer

Omaha, NE ยท On-site +1

$90 - $120/hr

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

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

In this role, you will review, assess, and contribute to contract redlining workflows used to train and evaluate state-of-the-art AI models. Your work will directly improve how these systems identify ...

Demonstrated expertise in building large scale AI such as generative AI models. * Implementation experience with a variety of high-level languages (e.g. Python, C++) * Experience with high ...

Demonstrated expertise in building large scale AI such as generative AI models. * Implementation experience with a variety of high-level languages (e.g. Python, C++) * Experience with high ...

AI Engineer

Bellevue, NE ยท On-site

$108K - $130K/yr

In this role, you will develop scalable AI systems using large language models (LLMs), foundation models, and modern machine learning technologies to automate clinical workflows while ensuring ...

AI Engineer

Lincoln, NE ยท On-site +1

Integrate AI models into existing applications and backend systems through APIs and scalable architectures * Build and maintain data pipelines, including collecting, cleaning, preparing, and ...

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

Design, develop, and deploy AI and generative AI solutions, leveraging large language models to build and enable analytics, machine learning capabilities, and intelligent automation across the ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision. * Create objective evaluation frameworks and grading criteria to ...

Commercial Counsel

Lincoln, NE ยท Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision. * Create objective evaluation frameworks and grading criteria to ...

Transaction Attorney

Lincoln, NE ยท Remote

$90 - $130/hr

Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision. * Create objective evaluation frameworks and grading criteria to ...

Review and assess AI responses to contract scenarios, providing expert feedback to improve model performance and output precision. * Create objective evaluation frameworks and grading criteria to ...

Showing results 21-40

Ai Model information

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 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 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.

How to get into AI modeling?

To become an AI modeler, develop strong skills in programming languages like Python, learn machine learning frameworks such as TensorFlow or PyTorch, and gain experience with data preprocessing and model training. A background in computer science, mathematics, or related fields, along with relevant certifications or courses, can also improve your prospects.
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 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 3% Internship, 63% Full Time, 13% Part Time, and 21% Contract. Highlights an 72% In-person, and 28% Remote job distribution.

Medical Billing Specialist

micro1 AI

Omaha, NE โ€ข Remote

$50 - $80/hr

Part-time

Posted 3 days ago

New


Job description

Role Title: Medical Writer / Clinical Document Author


Role Type: Contractor


Location: Remote


micro1 is engaging Medical Writers / Clinical Document Authors to participate in a customerโ€™s project focused on developing advanced AI-assisted writing tools for clinical documentation. 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. Author and review realistic evaluation tasks based on Clinical Study Reports, DSURs, PSURs/PBRERs, and related clinical documents to inform AI tool development.
  2. Apply expert judgment to assess whether AI-generated content fulfills clinical template and structural requirements, including ICH E3 organization, section sequencing, cross-referencing, and appendix management.
  3. Evaluate scientific accuracy in narrative sections such as efficacy, safety summaries, discussion, and conclusions, distinguishing true scientific or interpretive errors from stylistic differences.
  4. Trace narrative claims to source recordsโ€”tables, figures, listings, and protocolsโ€”to verify that all assertions are appropriately supported.
  5. Provide clear and structured written rationales for each assessment, enabling precise diagnosis and improvement of AI model behavior.
  6. Collaborate with project leads to refine evaluation frameworks and document best practices for clinical regulatory writing in the context of AI.


Preferred Qualifications

  1. Minimum 5 years of regulatory medical writing experience at a sponsor, CRO, or as an independent consultant.
  2. Direct experience independently authoring or leading the authoring of full Clinical Study Reports, beyond summaries or partial contributions.
  3. Fluency with ICH E3 and conventions for periodic safety documentation (ICH E2F, ICH E2C) and eCTD placement.
  4. Demonstrated ability to read and interpret TFLs and protocol documents, identifying where narrative diverges from source data.
  5. Exceptional written and verbal communication skills, especially in providing structured, actionable feedback on clinical content.
  6. Advanced degree in life sciences, pharmacy, or medicine (PhD, PharmD, MD, MSc), or equivalent depth of authoring experience.
  7. Experience across multiple clinical phases and therapeutic areas; oncology and haematology expertise is especially valued.


Join our customer's team and leverage your authoring expertise to help design the next generation of AI-assisted clinical documentation solutions. This high-bar role offers you the chance to shape how tomorrow's writing teams draft and review regulatory documents โ€” through your expert input, judgment, and real-world experience.