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Remote Machine Learning Jobs in Nebraska (NOW HIRING)

Barbaricum

Data Engineer with Security Clearance

Omaha, NE · On-site +1

$98.50K - $118.30K/yr

... machine learning and statistical methods to find hidden patterns, discover tasks and processes ... limited remote support. EEO Commitment All qualified applicants will receive consideration for ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... Enable future machine learning use cases by ensuring curated datasets are ML-ready, including ...

Norstella

Senior Data Scientist

Lincoln, NE · Remote

Remote, United StatesDate Posted: Apr 22, 2026Employment Type: Full TimeJob ID: R-1915About UsAt ... Our deep expertise in machine learning, artificial intelligence, large language models, and ...

DataAnnotation

Android Software Engineer

Lincoln, NE · On-site +1

$40/hr

... machine learning engineers--to create and solve coding challenges, build beautiful apps, and ... Benefits Fully remote: work from anywhere in the US, Canada, UK, Ireland, Australia, and New ...

Mutual of Omaha

Data Scientist

Omaha, NE · Remote

Remote Categories: Information Technology Join Mutual of Omaha as were looking for a Data Science ... A strong background in machine learning and statistical analysis, with the ability to validate ...

DataAnnotation

Backend Developer - AI Trainer

Lincoln, NE · On-site +1

$60/hr

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

DataAnnotation

C++ Engineer - AI Trainer

Lincoln, NE · On-site +1

$60/hr

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

DataAnnotation

Frontend Engineer - AI Trainer

Lincoln, NE · On-site +1

$60/hr

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

DataAnnotation

QA Engineer - AI Trainer

Lincoln, NE · On-site +1

$60/hr

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

DataAnnotation

React Engineer - AI Trainer

Lincoln, NE · On-site +1

$60/hr

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

DataAnnotation

UI/UX Developer - AI Trainer

Lincoln, NE · On-site +1

$60/hr

... remote work and setting your own schedule. We are looking for proficient programmers to help ... machine learning, and other engineers -- who are driving real‐world impact in AI development. Our ...

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Remote Machine Learning information

See Nebraska salary details

$24.3K

$40.6K

$83.9K

How much do remote machine learning jobs pay per year?

As of Jun 4, 2026, the average yearly pay for remote machine learning in Nebraska is $40,601.00, according to ZipRecruiter salary data. Most workers in this role earn between $31,000.00 and $43,900.00 per year, depending on experience, location, and employer.

What Are Remote Machine Learning Jobs?

Machine learning is a method of analyzing data via automating analytical model building. The premise is that systems can learn from data. Machine learning positions include machine learning engineer, computer vision engineer, and senior deep learning engineer. In a remote machine learning job, you work from home in a branch of artificial intelligence performing duties related to computational processing and data. Your goal is to design models that solve business problems, such as helping organizations avoid unknown risks or find profitable opportunities. Your responsibilities include maintaining data pipelines, performing model research and implementation, building machine learning systems, and onboarding new utilities.

What are the key skills and qualifications needed to thrive as a Remote Machine Learning Engineer, and why are they important?

To thrive as a Remote Machine Learning Engineer, you need a strong background in mathematics, statistics, programming (often Python), and experience with machine learning frameworks, typically supported by a relevant degree. Familiarity with tools such as TensorFlow, PyTorch, cloud platforms (like AWS or GCP), and version control systems is crucial. Strong problem-solving abilities, self-management, and effective virtual communication distinguish top performers in remote settings. These competencies ensure the engineer can build effective models, collaborate across distributed teams, and deliver impactful solutions independently.

What are some effective strategies for collaborating with team members while working remotely as a Machine Learning Engineer?

Collaboration in a remote Machine Learning role often relies on clear communication through digital tools such as Slack, Zoom, and project management platforms like Jira or Asana. Regular check-ins and stand-up meetings help keep everyone aligned on project goals and timelines. Sharing code and models via version control systems (like Git) and using collaborative notebooks (such as JupyterHub or Google Colab) are also common practices. Building strong documentation habits and proactively seeking feedback can help ensure smooth teamwork and project success, even across different time zones.

What is a remote machine learning job?

A remote machine learning job involves working with algorithms, data, and models to develop predictive systems or automate tasks, all while working from a location outside of a traditional office setting. Professionals in this role use techniques from statistics and computer science to analyze data, train machine learning models, and deploy solutions for real-world applications. Remote machine learning jobs can span various industries, including technology, healthcare, finance, and e-commerce. These roles typically require strong programming skills, knowledge of machine learning frameworks, and the ability to communicate findings effectively with team members or stakeholders. Working remotely offers flexibility, but also requires discipline and self-motivation to succeed.

Is ML full of coding?

Machine Learning (ML) roles often involve significant coding, especially in programming languages like Python or R, to develop algorithms and models. However, some positions focus more on data analysis, feature engineering, or model evaluation, which may require less coding but still involve technical skills and understanding of ML concepts.

What is the difference between Remote Machine Learning vs Data Scientist?

AspectRemote Machine LearningData Scientist
Required CredentialsBachelor's/Master's in CS, ML certificationsBachelor's/Master's in CS, Statistics, or related field
Work EnvironmentRemote, collaborative teams, tech companiesRemote or on-site, diverse industries, analytics focus
Industry UsageTech, AI startups, researchFinance, healthcare, e-commerce, tech
Search & Comparison IntentOften compared for technical roles in AI/MLBroader data analysis roles, but overlapping skills

Remote Machine Learning specialists focus on developing algorithms and models primarily in tech environments, often requiring advanced programming and ML knowledge. Data Scientists analyze data to extract insights, sometimes utilizing ML techniques. While both roles share skills and credentials, Remote Machine Learning emphasizes model development, whereas Data Scientists focus on data analysis and interpretation.

More about Remote Machine Learning jobs
What are the most commonly searched types of Machine Learning jobs in Nebraska? The most popular types of Machine Learning jobs in Nebraska are:
What are popular job titles related to Remote Machine Learning jobs in Nebraska? For Remote Machine Learning jobs in Nebraska, the most frequently searched job titles are:
What job categories do people searching Remote Machine Learning jobs in Nebraska look for? The top searched job categories for Remote Machine Learning jobs in Nebraska are:
What cities in Nebraska are hiring for Remote Machine Learning jobs? Cities in Nebraska with the most Remote Machine Learning job openings:
Remote Machine Learning jobs near you
Infographic showing various Remote Machine Learning job openings in Nebraska as of May 2026, with employment types broken down into 6% Internship, 66% Full Time, 14% Part Time, and 14% Contract. Highlights an 100% Remote job distribution, with an average salary of $40,601 per year, or $19.5 per hour.
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Omaha, NE • Remote

Other

Posted 12 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply