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Software Engineer Ai Model Training Jobs in Nebraska

Lead Software Engineer

Omaha, NE ยท Hybrid

$150K - $160K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Lead Software Engineer - | $150,000-$160,000 + Bonus | Hybrid | Direct Hire What Matters Most ... Work with AWS, Java, Spring Boot, PostgreSQL, Microservices, Event-Driven Architecture, and AI ...

Principal Software Engineer

Oak, NE

$134K - $180K/yr

Prototype and build AI workflows and agents powered by LLMs (Large Language Models) to transform ... Partner with engineering leadership to drive system migrations and modernization (Python/Django ...

Data Governance Engineer

Omaha, NE ยท On-site

$104K - $124K/yr

... model powered by engineering practices and artificial intelligence. This role will sit at the intersection of software engineering, data engineering, AI automation, and enterprise data management.

Data Governance Engineer

Omaha, NE ยท On-site

$109K - $131K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... model powered by engineering practices and artificial intelligence. This role will sit at the intersection of software engineering, data engineering, AI automation, and enterprise data management.

Data Governance Engineer

Omaha, NE ยท On-site

$104K - $124K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

... model powered by engineering practices and artificial intelligence. This role will sit at the intersection of software engineering, data engineering, AI automation, and enterprise data management.

Use approved source-control, change-management, build, deployment, and AI-assisted development ... Understanding of relational database concepts, data modeling, normalization, indexing, and query ...

Senior Software Engineer

Omaha, NE ยท On-site +1

$111K - $146K/yr

  • Medical

  • Dental

  • Life

  • Retirement

  • PTO

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... Lead the evaluation, integration, and responsible deployment of generative AI capabilities within ...

Senior Software Engineer

Omaha, NE ยท On-site +1

$111K - $146K/yr

The Senior Software Engineer designs, builds, and maintains the technical systems and application ... Lead the evaluation, integration, and responsible deployment of generative AI capabilities within ...

Software Engineer 2- Kiewit Technology Group

La Vista, NE ยท On-site

$90 - $120/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

They will leverage modern development practices, including AI-assisted engineering tools, to ... Create high-performance data models and DAX calculations to support business reporting. * Implement ...

New

Software Engineer, SME

Omaha, NE ยท On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Review and prepare comprehensive technical documentation, including user guides, training manuals ... Experience with MBSE, digital engineering, and model-based documentation/tools (SysML, Cameo)

Showing results 41-60

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

Apogee Engineering, LLC

Offutt Air Force Base, NE โ€ข On-site, Remote

Full-time

Posted 27 days ago


Job description

Apogee has an exciting new opportunity for a Software Engineerto be located remotely or inOmaha, NE, in support of the Air Force Life Cycle Management Center (AFLCMC) Weather Systems Branch (AFLCMC/ESAW).This position will provide Software Engineering Oversight and Advisory support to the Numerical Weather Models (NWM) program. The role will provide technical guidance on the design, development, and maintenance of secure software solutions, integrated via DevSecOps practices, and ensure security and compliance throughout the Software Development Life Cycle. This role offers the opportunity to make a significant impact on critical national defense systems while working with cutting-edge DevSecOps technologies in a collaborative, mission-focused environment. 

This is a full-time position located at Offutt AFB, NE


DevSecOps & Software Engineering Oversight

  • Provide technical guidance and oversight on the design, architecture, and maintenance of secure software solutions delivered by development partners.
  • Govern DevSecOps implementation, ensuring automated security testing, code scanning, and vulnerability management are properly integrated into CI/CD pipelines.
  • Advise and guide agile teams in translating high-level government requirements into robust technical designs and user stories.
  • Evaluate and review automated build, test, deployment, and infrastructure provisioning strategies to ensure alignment with industry best practices.

Technical Strategy & Collaboration

  • Apply systems engineering principles to analyze requirements, evaluate architecture feasibility, and advise government stakeholders on technical risks and tool selection.
  • Review and refine architecture diagrams, system specifications, and high-level technical documentation.
  • Serve as the technical liaison between government lead engineers, users, stakeholders, and development teams to ensure iterative value delivery.
  • Participate in agile ceremonies to provide strategic engineering oversight and drive continuous DevSecOps process improvements.

Minimum Experience:

Citizenship: Must be a US citizen 
Clearance: Must possess and maintain a Secret clearance
Education: Bachelor's degree in a relevant discipline
Years of Experience: Minimum of 15 years of relevant experience to include:

  • 5+ years supporting the DoW

Technical Skills 

  • Extensive knowledge and hands-on experience across the complete Software Development Life Cycle (SDLC) 
  • Strong software design and expertise with secure development practices. Expertise with Python preferred. 
  • Comprehensive understanding of agile methodologies (Scrum, Kanban, SAFe) 
  • Proficiency in DevSecOps tools and practices including CI/CD pipelines, automated testing, and security integration. Experience with GitLab preferred 
  • Experience with infrastructure as code, containerization, and cloud security practices 

Domain Expertise 

  • Proven experience supporting Department of Defense software development projects 
  • Understanding of government compliance requirements and security frameworks 
  • Experience working in classified environments and handling sensitive information 

 
Additional Experience:

Preferred Qualifications:
Clearance:
Certifications: Current CSSLP or equivalent certification preferred
Education: Master's degree
Years of Experience: Minimum of 10 years of relevant experience, including a minimum of 5 years supporting the DoD 

Additional Information
Location: Offutt AFB, NE
On-site/Hybrid/Remote: Remote opportunity with periodic travel to Offutt AFB, NE
Travel: 10%