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Entry Level Ai Engineer Jobs in Nebraska (NOW HIRING)

Career framework alignment: Entry-level role on the Software Engineer ladder; this description is ... Use AI-assisted engineering workflows, including Claude Code or similar tools, to support ...

Entry Level Ai Engineer information

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$28.6K

$66.1K

$112.5K

How much do entry level ai engineer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for entry level ai engineer in Nebraska is $66,133.00, according to ZipRecruiter salary data. Most workers in this role earn between $49,100.00 and $74,800.00 per year, depending on experience, location, and employer.

What does an entry level AI engineer do?

An Entry Level AI Engineer assists in designing, developing, and deploying artificial intelligence models and systems under the guidance of senior engineers. Their tasks often include collecting and preprocessing data, implementing machine learning algorithms, and testing models to ensure accuracy and efficiency. They also collaborate with software developers and data scientists to integrate AI solutions into products or services, all while continuing to learn and develop their technical skills on the job.

What types of projects do entry level AI engineers typically work on, and how do they contribute to larger team goals?

Entry-level AI engineers often start by assisting with data preprocessing, building and testing machine learning models, and supporting the deployment of AI solutions. They may also help maintain existing models, write scripts to automate workflows, and contribute to documentation. These tasks are crucial for larger team projects, as they ensure data quality and provide foundational components for more advanced AI systems. Collaboration with data scientists, software engineers, and product managers is common, offering valuable exposure to cross-functional teamwork and opportunities for skill development.

What are the key skills and qualifications needed to thrive as an entry level AI engineer, and why are they important?

To thrive as an Entry Level AI Engineer, you need a solid background in computer science, mathematics (especially linear algebra and statistics), and programming languages like Python, often supported by a relevant degree. Familiarity with machine learning frameworks (such as TensorFlow or PyTorch), version control systems (like Git), and sometimes entry-level certifications in AI or data science is valuable. Strong problem-solving abilities, eagerness to learn, and teamwork skills help you stand out in this collaborative and evolving field. These skills and qualities are crucial to effectively develop AI models, adapt to new technologies, and contribute meaningfully to innovative projects.

Can you be an entry level AI engineer with no experience?

Entry level AI engineer positions often require some foundational knowledge of programming, machine learning concepts, and relevant tools like Python or TensorFlow. While prior experience is not always mandatory, demonstrating skills through projects, certifications, or coursework can improve chances of securing an entry level role.

Is AI taking entry level AI engineering jobs?

Entry level AI engineering jobs are growing as demand for AI skills increases, but competition remains high. Success in these roles typically requires knowledge of programming languages like Python, familiarity with machine learning frameworks, and a strong foundation in mathematics. Entry-level positions often focus on data preprocessing, model training, and assisting senior engineers.

Is an entry level AI engineer an entry-level job?

An entry-level AI engineer position is typically considered an entry-level job, suitable for candidates with limited professional experience in AI, machine learning, or related fields. These roles often require foundational skills in programming, data analysis, and basic understanding of AI tools and frameworks. They are designed to provide on-the-job training and skill development for newcomers to the field.

What are the most commonly searched types of Ai Engineer jobs in Nebraska?

The most popular types of Ai Engineer jobs in Nebraska are:

What are popular job titles related to Entry Level Ai Engineer jobs in Nebraska?

For Entry Level Ai Engineer jobs in Nebraska, the most frequently searched job titles are:

What job categories do people searching Entry Level Ai Engineer jobs in Nebraska look for?

The top searched job categories for Entry Level Ai Engineer jobs in Nebraska are:

Infographic showing various Entry Level Ai Engineer job openings in Nebraska as of August 2026, with employment types broken down into 75% Full Time, 23% Part Time, and 2% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution, with an average salary of $66,133 per year, or $31.8 per hour.

AI Developer & Data Scientist IRC303082

GlobalLogic

Gothenburg, NE • On-site

$55 - $85/hr

Other

Posted 4 days ago


Key responsibilities

  • Assist with the development, testing, and documentation of data-processing pipelines and machine learning components for vehicle datasets.

  • Help inspect, clean, and structure diagnostic logs and telemetry data for analysis.

  • Support the implementation and testing of baseline analytical models and assist in building simple web interfaces or APIs for analytical tools.


GlobalLogic rating

7.5

Company rating: 7.5 out of 10

Based on 11 frontline employees who took The Breakroom Quiz

165th of 247 rated software companies


Job description

AI, Automotive, Data Engineer, Data Science, Machine Learning, Python

We are seeking an enthusiastic Student or Recent Graduate (AI Developer & Data Scientist) to support the development of our AI-based Measurement Analytics Tool. In this entry-level role, you will have the unique opportunity to apply your academic knowledge to real-world challenges, helping to build and refine a functional Proof of Concept (POC) that turns vehicle telemetry and diagnostic logs into software verification insights. Working under the direct mentorship of senior architects, you will help implement basic ML pipelines, data cleaning scripts, and prototype user interfaces. This role is highly learning-oriented, designed for individuals eager to grow their skills in a professional automotive data science environment.

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Requirements
  • Experience Level: No professional experience required. Strong portfolio of academic coursework, university lab projects, github repositories, hackathons, or personal projects demonstrating hands-on Python development.
  • Core Technical Stack: Solid foundational programming skills in Python, with exposure to standard libraries through coursework or projects.
  • Basic ML Concepts: Academic exposure to machine learning fundamentals, such as time-series analysis, clustering algorithms, or introductory Natural Language Processing (NLP).
  • Data Manipulation: Ability to write scripts to parse, filter, and format raw files (like CSVs or text logs).
  • Aptitude & Passion: High curiosity, strong problem-solving skills, and a keen interest in learning vehicle systems, automotive protocols (e.g., CAN, LIN), or diagnostic logs.
  • Education: Currently pursuing or recently completed a Bachelor’s (B.Sc.) or Master’s (M.Sc.) degree in Computer Science, Data Science, Electrical/Software Engineering, or a related quantitative field.
Job responsibilities
  • AI/ML Pipeline & Development Support: Assist with the development, testing, and documentation of data-processing pipelines and machine learning components optimized for vehicle datasets.
  • Data Cleaning & Exploratory Analysis: Help inspect, clean, and structure text-based diagnostic logs and numerical telemetry streams (such as bus logs and sensor measurements) for analysis.
  • Model Testing & Prototyping: Support the implementation and testing of baseline analytical models (including time-series classification, clustering, or prompt engineering for basic NLP/LLM assistants).
  • UI Prototyping & Coding: Write clean, readable, and well-documented Python code. Assist in building simple web interfaces or APIs to help package these analytical tools.
  • Technical Collaboration & Learning: Actively participate in team syncs, gather engineering requirements under guidance, and learn the fundamentals of vehicle software systems from domain experts.
What we offer

Empowering Projects: With 500+ clients spanning diverse industries and domains, we provide an exciting opportunity to contribute to groundbreaking projects that leverage cutting-edge technologies. As a team, we engineer digital products that positively impact people’s lives.

Empowering Growth: We foster a culture of continuous learning and professional development. Our dedication is to provide timely and comprehensive assistance for every consultant through our dedicated Learning & Development team, ensuring their continuous growth and success.

DE&I Matters: At GlobalLogic, we deeply value and embrace diversity. We are dedicated to providing equal opportunities for all individuals, fostering an inclusive and empowering work environment.

Career Development: Our corporate culture places a strong emphasis on career development, offering abundant opportunities for growth. Regular interactions with our teams ensure their engagement, motivation, and recognition. We empower our team members to pursue their career goals with confidence and enthusiasm.

Comprehensive Benefits: In addition to equitable compensation, we provide a comprehensive benefits package that prioritizes the overall well-being of our consultants. We genuinely care about their health and strive to create a positive work environment.

Flexible Opportunities: At GlobalLogic, we prioritize work-life balance by offering flexible opportunities tailored to your lifestyle. Explore relocation and rotation options for diverse cultural and professional experiences in different countries with our company.

About GlobalLogic

GlobalLogic, a Hitachi Group Company, is a trusted digital engineering partner to the world’s largest and most forward-thinking companies. Since 2000, we’ve been at the forefront of the digital revolution – helping create some of the most innovative and widely used digital products and experiences. Today we continue to collaborate with clients in transforming businesses and redefining industries through intelligent products, platforms, and services.

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