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Ai Language Training Jobs in Nebraska (NOW HIRING)

AI Engineer

Bellevue, NE · On-site

$108K - $130K/yr

In this role, you will develop scalable AI systems using large language models (LLMs), foundation ... Experience working with large-scale model training or inference infrastructure. Healthcare Data

... natural language processing systems, computer vision applications, and data pipelines ... training, validation, and deployment. - Work closely with stakeholders to understand business ...

Research, fine-tune, and deploy machine learning and large language models to support business and ... training and evaluation * Monitor, evaluate, and maintain model performance through testing ...

$139K - $168K/yr

... AI language models (bots), including o3, o4-mini, Claude 3.7 Sonnet, GPT Image 1 and more. As AI ... training, to realtime LLM application at scale Minimum Requirements: * Ability to be available for ...

Experience working with large scale AI training. * An in-depth understanding of machine learning ... language models, etc.) * Track record in developing machine learning solutions using massive real ...

Experience working with large scale AI training. * An in-depth understanding of machine learning ... language models, etc.) * Track record in developing machine learning solutions using massive real ...

Training, Adoption & Enablement -Support organizational readiness by delivering training, best ... language processing, data analytics, and AI platforms. * 8+ years of experience working with ...

Training, Adoption & Enablement -Support organizational readiness by delivering training, best ... language processing, data analytics, and AI platforms. * 8+ years of experience working with ...

Design, develop, and deploy AI and generative AI solutions, leveraging large language models to ... Improve accuracy by employing systematic experimentation, prompt engineering, data and training ...

Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL ... and training; licensure and certifications; and other business and organizational needs. The ...

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Ai Language Training information

What is an AI language training?

An AI Language Training job involves training, evaluating, and improving AI language models to enhance their accuracy and effectiveness. Professionals in this role work on providing high-quality linguistic data, refining model responses, and ensuring AI-generated content aligns with human expectations. Tasks may include annotating text, reviewing AI outputs, and implementing feedback to optimize language models. This job often requires strong language skills, attention to detail, and familiarity with AI-driven communication tools.

What are some common challenges faced in an AI language training role?

Professionals in AI Language Training often encounter challenges such as handling ambiguous or noisy language data, ensuring model outputs are both accurate and unbiased, and staying updated with rapid advancements in AI research. Balancing data quality with scalability and collaborating across multidisciplinary teams to define linguistic requirements can also present complexities. However, these challenges make the work dynamic and intellectually stimulating, offering continuous learning opportunities and the chance to significantly impact the performance of AI-powered language systems.

What are the key skills and qualifications needed to thrive in AI language training?

To excel in AI Language Training, you need a strong background in linguistics, natural language processing (NLP), and machine learning, often supported by a degree in computer science, computational linguistics, or a related field. Familiarity with programming languages like Python, frameworks such as TensorFlow or PyTorch, and experience with annotation tools or dataset management are typically required. Attention to detail, problem-solving skills, and effective communication are important soft skills for refining models and collaborating with cross-functional teams. These qualifications ensure that language models are accurately trained, continuously improved, and aligned with real-world use cases.

What job categories do people searching Ai Language Training jobs in Nebraska look for? The top searched job categories for Ai Language Training jobs in Nebraska are:
Infographic showing various Ai Language Training job openings in Nebraska as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 17% Part Time, and 2% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

$108K - $130K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago


GE HealthCare rating

8.4

Company rating: 8.4 out of 10

Based on 137 frontline employees who took The Breakroom Quiz

97th of 487 rated machine equipment manufacturers


Job description

Job Description Summary
The AI Scientist will work in teams addressing statistical, machine learning and data understanding problems in a commercial technology and collaborative Are you passionate about applying Generative AI to transform healthcare? GE HealthCare is seeking a Senior Staff AI Engineer to design, build, deploy, and optimize production-grade AI solutions that power next-generation clinical applications. 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 reliability, performance, and responsible AI deployment.
Job Description
About the Role
At GE HealthCare, we are bringing AI- and cloud-based technologies to healthcare by delivering advanced analytics, visualization, multimodal learning, intelligent software, and scalable computing solutions across cloud and edge environments. Our Science & Technology organization develops AI capabilities that improve clinical workflows, enhance provider productivity, and help make healthcare more personalized, precise, and accessible.
What You Will Do
  • Design, develop, and deploy production-ready AI solutions using Large Language Models (LLMs), foundation models, and modern machine learning techniques to automate clinical workflows.
  • Build scalable AI applications leveraging electronic medical records (EMRs), medical waveforms, clinical reports, and other healthcare datasets.
  • Develop robust inference pipelines, model serving infrastructure, and AI services optimized for reliability, scalability, latency, and cost.
  • Optimize foundation models through prompt engineering, fine-tuning, distillation, quantization, and inference optimization techniques.
  • Implement responsible AI practices, including model evaluation, robustness testing, monitoring, and human-in-the-loop feedback mechanisms.
  • Collaborate with research scientists and cross-functional engineering teams to transition advanced AI models into production environments.
  • Build reusable software components, APIs, and development frameworks that enable scalable AI application development.
  • Stay current with emerging AI technologies, open-source frameworks, and industry best practices to continuously improve GE HealthCare's AI platform.
Required Qualifications
Education
  • Master's degree in Science, Technology, Engineering, Mathematics (STEM), Computer Science, Artificial Intelligence, or a related technical field with 3+ years of relevant experience, or
  • PhD in a STEM discipline with relevant experience developing production AI systems.
AI & Machine Learning
  • Demonstrated experience building and deploying large-scale Generative AI or foundation model solutions.
  • Experience developing applications using Large Language Models (LLMs), Agentic AI, or self-supervised learning techniques.
  • Strong understanding of modern machine learning techniques including transfer learning, generative models, optimization, and model evaluation.
Software Engineering
  • Strong programming skills in Python and C++.
  • Experience developing scalable, maintainable, production-quality software.
  • Experience designing APIs, distributed services, or cloud-native AI applications.
AI Infrastructure
  • Experience with modern AI frameworks such as PyTorch, Hugging Face, DeepSpeed, Megatron, or PyTorch Lightning.
  • Experience deploying AI workloads using MLOps, ModelOps, or Foundation Model Operations (FMOps) practices.
  • Experience working with large-scale model training or inference infrastructure.
Healthcare Data
  • Experience working with high-dimensional medical imaging, waveform, or time-series clinical datasets.
Preferred Qualifications
  • Experience solving complex engineering problems with ambiguous requirements.
  • Experience deploying large-scale distributed AI systems.
  • Experience with Spark, Hadoop, TensorFlow, or PyTorch in enterprise environments.
  • Experience building production data platforms and AI-powered software applications.
  • Track record of delivering machine learning solutions using large real-world healthcare datasets.
  • Experience optimizing large-scale AI training and inference performance.
Why Join GE HealthCare
Join a global AI engineering organization building production AI systems that improve patient care at scale. You'll work with world-class engineers and scientists across the United States, France, Israel, and India to bring cutting-edge Generative AI capabilities into healthcare products that make a meaningful difference for clinicians and patients worldwide.
Work Environment
Global Collaboration
Our AI teams are located across Bellevue, San Ramon, France, Israel (Tel Aviv), and India (Bangalore), providing opportunities to collaborate across a diverse, global engineering organization.
Work-Life Balance
We value flexibility and recognize that maintaining a healthy work-life balance enables our teams to perform at their best. Our flexible work environment supports both professional success and personal well-being.
Career Growth
You'll collaborate with experienced engineers, researchers, and technical leaders while benefiting from mentorship opportunities across GE HealthCare's global engineering organization.
We will not sponsor individuals for employment visas, now or in the future, for this job opening.For U.S. based positions only, the pay range for this position is $160,080.00-$240,120.00 Annual. It is not typical for an individual to be hired at or near the top of the pay range and compensation decisions are dependent on the facts and circumstances of each case. The specific compensation offered to a candidate may be influenced by a variety of factors including skills, qualifications, experience and location. In addition, this position may also be eligible to earn performance based incentive compensation, which may include cash bonus(es) and/or long term incentives (LTI). GE HealthCare offers a competitive benefits package, including not but limited to medical, dental, vision, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, and tuition reimbursement.
GE HealthCare offers a great work environment, professional development, challenging careers, and competitive compensation. GE HealthCare is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.
GE HealthCare will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
While GE HealthCare does not currently require U.S. employees to be vaccinated against COVID-19, some GE HealthCare customers have vaccination mandates that may apply to certain GE HealthCare employees.
Relocation Assistance Provided: Yes

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