ZipRecruiter

Log In

1

Software Engineer Ai Model Training Jobs in Nebraska

NRC Health

Software Engineer

Lincoln, NE · On-site +1

Leverage AI-assisted development tools to accelerate software delivery, improve code quality ... Strong software engineering experience developing production applications. * Experience ...

ALLO

Senior Software Engineer, Cloud and AI

Lincoln, NE · On-site

$90 - $120/hr

  • Medical

  • Dental

  • Vision

  • Retirement

## Senior Software Engineer, Cloud and AIApplylocations: Lincoln, NE: Grand Island, NE: Kearney, NE ... of AI tools and models.* Service excellence mindset with an energetic belief in providing ...

New

Nrchealth

Software Engineer

Lincoln, NE · On-site

$80 - $116/hr

Leverage AI-assisted development tools to accelerate software delivery, improve code quality ... Strong software engineering experience developing production applications. * Experience ...

Acrisure

Software Engineer I

Atlanta, NE · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... the Role Fits the Operating Model The Software Engineer I is on the supply side of the ... Use AI-assisted engineering workflows, including Claude Code or similar tools, to support ...

ALLO Fiber

Senior Software Engineer, Cloud and AI

Grand Island, NE · On-site

$122K - $161K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We are looking for a Senior Software Engineer, Cloud & AI who can work collaboratively within the ... of AI tools and models. * Service excellence mindset with an energetic belief in providing ...

ALLO Fiber

Senior Software Engineer, Cloud and AI

Lincoln, NE · On-site

$106K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We are looking for a Senior Software Engineer, Cloud & AI who can work collaboratively within the ... of AI tools and models. * Service excellence mindset with an energetic belief in providing ...

ALLO Fiber

Senior Software Engineer, Cloud and AI

Lincoln, NE · On-site

$106K - $140K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We are looking for a Senior Software Engineer, Cloud & AI who can work collaboratively within the ... of AI tools and models. * Service excellence mindset with an energetic belief in providing ...

ALLO Fiber

Senior Software Engineer, Cloud and AI

Kearney, NE · On-site

$115K - $152K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

We are looking for a Senior Software Engineer, Cloud & AI who can work collaboratively within the ... of AI tools and models. * Service excellence mindset with an energetic belief in providing ...

Harris

$80K - $90K/yr

GitHub Copilot, Claude, Cursor or ChatGPT) - Familiarity with AI directed prompt engineering for ... software engineering principles, design patterns, algorithms, and system architecture ...

Acrisure

Software Engineer II

Atlanta, NE · On-site

$116K - $159K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

How the role fits the operating model: The Software Engineer II is on the supply side of the ... AI-assisted engineering. Uses AI-assisted engineering workflows daily, including Claude Code or ...

Vumedi Inc.

Senior Software Engineer

Oak, NE · On-site

$122K - $161K/yr

What you'll do: We're looking for a Senior Software Engineer to lead the next evolution of VuMedi ... Prototype and build AI workflows and agents powered by LLMs (Large Language Models) to transform ...

ultimus

Senior AI Engineer

Omaha, NE

$100K - $137K/yr

The role will partner with AI Data Scientists and AI Developers to operationalize models, ensure ... experience across software engineering, data engineering, or machine learning operations

Apptad, Inc.

Software Engineer

Omaha, NE · On-site

Experience utilizing AI engineering tools to accelerate software development pipelines preferred * Experience with AWS Native development preferred but not required

Kiewit Corporation

Software Engineer II - MCP Development

Papillion, NE · On-site +1

$91K - $125K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Software Engineer will work closely with the Technical Lead, Product Owner, QA Engineers, and ... MCP (Model Context Protocol) * Azure Cloud Services * JavaScript or TypeScript * AI-assisted ...

previous pagenext page

Showing results 21-40

All JobsSoftware Engineer Ai Model Training JobsSoftware Engineer Ai Model Training Jobs in Nebraska

Software Engineer Ai Model Training information

What does a software engineer AI model training do?

A Software Engineer specializing in AI Model Training is responsible for designing, developing, and optimizing machine learning models. Their work involves preparing and processing large datasets, selecting appropriate algorithms, implementing training pipelines, and evaluating model performance. They collaborate closely with data scientists and other engineers to ensure that AI models are accurate, efficient, and suitable for deployment in real-world applications. Additionally, they may help maintain infrastructure for model training and contribute to research and development of new AI techniques.

What are the key skills and qualifications needed to thrive as a software engineer AI model training?

To excel as a Software Engineer in AI Model Training, you need strong programming skills (especially in Python), a solid grasp of machine learning fundamentals, and typically a degree in computer science or a related field. Experience with frameworks like TensorFlow or PyTorch, familiarity with data processing tools, and sometimes certifications in AI or ML are highly valuable. Analytical thinking, problem-solving, and effective collaboration enhance your ability to develop and refine complex AI models. These skills ensure that AI solutions are robust, scalable, and aligned with organizational goals in a rapidly evolving technological landscape.

What are some common challenges faced by software engineers AI model training, and how can they be addressed?

Software Engineers focusing on AI model training often encounter challenges such as managing large datasets, ensuring data quality, and optimizing model performance. Addressing these issues typically involves close collaboration with data scientists, domain experts, and DevOps engineers to streamline the data pipeline and refine training processes. Staying up to date with the latest advancements in machine learning frameworks and tools can also help overcome technical hurdles. Regular code reviews and cross-functional meetings further support problem-solving and foster a productive work environment.

What is the difference between Software Engineer Ai Model Training vs Data Scientist?

AspectSoftware Engineer Ai Model TrainingData Scientist
Required CredentialsBachelor's in CS, related field; experience with ML frameworksBachelor's or higher in CS, statistics, or related field; strong analytical skills
Work EnvironmentDevelopment teams, AI labs, cloud platformsData analysis, research environments, business units
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, consulting

While both roles involve working with data and machine learning, Software Engineer Ai Model Training focuses on developing and optimizing AI models through coding and engineering practices. Data Scientists analyze data, build models, and generate insights. The roles often collaborate but differ in their core responsibilities and skill sets.

Can I get paid to train AI models?

Yes, software engineers and AI specialists can be paid to train AI models, especially in roles that involve developing, fine-tuning, and optimizing machine learning algorithms. These positions often require knowledge of programming languages like Python, experience with machine learning frameworks, and access to computational resources. Compensation varies based on experience, location, and the complexity of the models being trained.

How to become a software engineer AI model trainer?

To become a software engineer AI model trainer, you should have a strong background in computer science, programming skills in languages like Python, and experience with machine learning frameworks such as TensorFlow or PyTorch. Gaining knowledge in data preprocessing, model evaluation, and working with large datasets is essential, along with relevant certifications or advanced degrees in AI or related fields.

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

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

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

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

What cities in Nebraska are hiring for Software Engineer Ai Model Training jobs?

Cities in Nebraska with the most Software Engineer Ai Model Training job openings:

Software Engineer Ai Model Training jobs near you

Software Engineer

NRC Health

Lincoln, NE • On-site, Remote

Full-time

Posted 23 days ago

Job description

Description
At NRC Health, we promise to help our customers bring Human Understanding to healthcare for their patients and communities. Our associates are at the heart of delivering that promise, so we promise that same Human Understanding to each other. Come where culture is everything.
Our associates. . .
Have Purpose - we do work that matters for our partners, the community, and the healthcare industry.
Innovate with us to move healthcare forward.
Give back to the community with paid volunteer time off.
Think Boldly - we have big ideas and are empowered to "think like an owner."
Fit your role and do what you love.
Grow and develop along a career path designed by you.
Feel Connected - our favorite thing about our workday is each other.
Support one another - no one says, "That's not my job."
Celebrate with each other at beer:30, virtual events, and company gatherings.
Be Understood - we are each unique and want to live our best lives at work and home.
Let life happen with My Time Off, a form of unlimited vacation, and up to 12 weeks paid for parental and emergency leave.
Live healthy with complimentary lifestyle and financial coaches, a wellness program, and a comprehensive insurance plan.
Who we want
  • Do you have experience building modern cloud-native engineering platforms that enable healthcare organizations to deliver exceptional patient and employee experiences?
  • Do you have experience developing customer-facing software while continuously improving the platform that powers it, including experience with Kubernetes, AWS, Infrastructure as Code, CI/CD automation, and AI-assisted software development?
  • Do you enjoy solving complex technical problems across both application development and platform engineering?
  • Do you have experience combining software engineering with modern DevOps and Platform Engineering practices that help shape both the applications and the infrastructure that runs them?
  • Are you passionate about building reliable software, automating operational work, and leveraging AI for more effective engineering?
  • Do you enjoy improving developer experience, simplifying deployments, and building scalable cloud-native systems?

What you will do
  • Design, build, and enhance customer-facing product functionality across our healthcare platform.
  • Own the software and services you build, designing with reliability, scalability, and maintainability in mind to develop high-quality software using modern engineering practices.
  • Build and maintain Kubernetes-based application deployments.
  • Design, implement, and maintain Infrastructure as Code (IaC) to provision and manage cloud resources.
  • Improve CI/CD pipelines to enable reliable, automated software delivery.
  • Build reusable infrastructure modules and deployment patterns that improve consistency, reliability, and scalability.
  • Automate operational processes to reduce manual effort and improve platform reliability.
  • Collaborate with software engineers to improve deployment processes, developer workflows, and platform capabilities.
  • Monitor production environments and continuously improve observability, alerting, and operational health.
  • Identify and resolve scalability, performance, reliability, and operational challenges.
  • Troubleshoot production issues and implement durable, long-term solutions.
  • Leverage AI-assisted development tools to accelerate software delivery, improve code quality, automate repetitive tasks, generate tests, improve documentation, and solve technical problems.
  • Participate in architecture discussions and contribute to the long-term technical direction of the platform.
  • Write clean, maintainable, well-tested, and well-documented code.

What you need
  • Bachelor's Degree in Computer Science, MIS, IT, Engineering, or a related field, or equivalent experience and the demonstrated ability to learn
  • Strong software engineering experience developing production applications.
  • Experience administering Kubernetes clusters (Amazon EKS preferred).
  • Experience working with AWS cloud service such as EKS, RDS, IAM, S3, Route 53, ALB, and CloudWatch.
  • Experience designing and maintaining CI/CD pipelines.
  • Experience with Infrastructure as Code (Terraform, CloudFormation, or similar).
  • Experience automating infrastructure, deployments, or operational workflows.
  • Understanding of cloud architecture, scalability, distributed systems, and modern application design.
  • Experience troubleshooting production systems in cloud environments.
  • Familiarity with observability, monitoring, and logging platforms.
  • Demonstrated proficiency using AI-assisted development tools such as GitHub Copilot, Claude Code, ChatGPT, or similar to improve software development effectiveness.
  • For candidates newer to AI-assisted development, a strong willingness and proven ability to rapidly learn and adopt modern AI-powered engineering workflows.
  • Strong problem-solving skills with an ownership mindset.
  • Excellent collaboration and communication skills.

Nice to have
  • Experience with GitOps tools such as Argo CD or Flux.
  • Experience with Docker and container security.
  • Experience implementing observability using Datadog, Prometheus, Grafana, or similar platforms.
  • Experience with Linux system administration.
  • Experience supporting highly available production systems.
  • Experience in healthcare or other regulated industries.

Compensation
In the spirit of pay transparency, we are excited to share the base salary range for this position is $80,000 - $116,000, exclusive of fringe benefits or potential bonuses. If you are hired at NRC Health, your final base salary compensation will be determined based on factors such as skills, education, and/or experience. In addition to those factors - we believe in the importance of pay equity and consider internal equity of our current team members as a part of any final offer. Please keep in mind that the range mentioned above is the full base salary range for the role. Hiring at the maximum of the range would not be typical in order to allow for future and continued salary growth. We also offer a generous compensation and benefits package. For more information on specific benefits, please refer to our Careers Page.
NRC Health is not currently hiring in DE, HI, MD, NJ, RI, D.C. While this position may allow for a work from home environment, preferred candidates live in the Lincoln, Nebraska and surrounding areas.
In general, NRC Health's positions are closed within 30 days. However, factors such as candidate flow and business necessity may require NRC Health to shorten or extend the application window. We encourage our prospective candidates to submit their application expediently so as not to miss out on our opportunities.
Inclusion & Belonging
At NRC Health, Inclusion & Belonging are essential to our mission as a company devoted to greater Human Understanding. For information about our efforts in this area, please refer to our Equal Employment Opportunity policy.
Have Purpose. Think Boldly. Feel Connected. Be Understood.

Apply