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Entry Level Language Engineer Jobs in Madison, WI

Jr. Cloud Engineer

Madison, WI · On-site

$56.25 - $75/hr

Individuals who are earlier in their careers or entry level candidates with strong cloud knowledge ... Familiarity with at least one scripting language such as PowerShell, Python, or Bash. * Strong ...

Ability to read, write, speak and understand English language * Engaging interpersonal skills ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Ability to read, write, speak and understand English language * Engaging interpersonal skills ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Ability to read, write, speak and understand English language * Engaging interpersonal skills ... Beyond our connectivity solutions, we also provide local news, programming and regional sports via ...

Primarily, this is an entry-level Technician position. Essential Functions: To perform this job ... Associate's degree in Electronics, Computer Programming, PC Repair, Automotive, CNC, or equivalent ...

Entry Level Language Engineer information

See Madison, WI salary details

$30.2K

$69.9K

$118.9K

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

As of Aug 11, 2026, the average yearly pay for entry level language engineer in Madison, WI is $69,891.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,900.00 and $79,100.00 per year, depending on experience, location, and employer.

What are some common challenges faced by entry level language engineers when working on natural language processing projects?

Entry level language engineers often encounter challenges such as understanding complex linguistic phenomena, handling large and messy datasets, and adapting to rapidly evolving NLP tools and frameworks. Collaborating with data scientists, linguists, and software engineers is crucial to ensure accurate model development and deployment. Learning to balance the theoretical aspects of language with practical implementation is key, as is staying updated with industry best practices and advancements. Proactive communication and a willingness to learn from more experienced team members help in overcoming these initial hurdles.

What are the key skills and qualifications needed to thrive as an entry level language engineer?

To thrive as an Entry Level Language Engineer, you generally need a background in linguistics, computer science, or a related field, with strong programming skills in languages like Python or Java. Experience with natural language processing (NLP) frameworks, machine learning libraries, and tools such as NLTK, spaCy, or TensorFlow is highly valuable. Attention to detail, analytical thinking, and effective communication are standout soft skills for this role. These competencies are essential for developing robust language models and collaborating efficiently on interdisciplinary teams to solve complex language-related challenges.

What is the difference between Entry Level Language Engineer vs Junior Software Developer?

AspectEntry Level Language EngineerJunior Software Developer
Required CredentialsBachelor's in Computer Science or related field, basic programming skillsBachelor's in Computer Science or related field, coding experience
Work EnvironmentTech companies, research labs, language processing teamsSoftware firms, tech startups, IT departments
Employer & Industry UsageUsed in NLP, AI, speech recognition projectsUsed across various software development projects
Common Search & ComparisonOften compared for entry-level roles in language processingMore general, but frequently compared in entry-level software roles

Entry Level Language Engineers focus on natural language processing, speech recognition, and AI language models, requiring knowledge of linguistics and programming. Junior Software Developers have broader coding responsibilities across software applications. While both roles require foundational programming skills and a bachelor's degree, Entry Level Language Engineers specialize in language technologies, making them distinct in industry applications.

What does an entry level language engineer do?

An Entry Level Language Engineer works on developing and improving language-related technologies such as speech recognition, natural language processing (NLP), and text-to-speech systems. Their responsibilities typically include data annotation, developing language models, analyzing linguistic data, and supporting senior engineers in implementing language solutions. They often collaborate with software engineers, linguists, and data scientists to enhance the performance and accuracy of language-based applications. This role serves as a foundation for gaining hands-on experience in computational linguistics and AI-driven language systems.

$56.25 - $75/hr

Other

Re-posted 10 days ago


Job description

AEBS is seeking a Cloud Engineer to take on a contract position in Madison! This is a hybrid role (3 days onsite expected) that is estimated to last 6-12 months. Individuals who are earlier in their careers or entry level candidates with strong cloud knowledge are encouraged to apply!
*No C2C inquiries, please!
Position Overview
We are seeking a motivated and curious Junior Cloud Engineer to join our Infrastructure and Cloud Services team. This is an excellent opportunity for a recent graduate or early-career technology professional looking to build hands-on experience with enterprise cloud platforms, infrastructure automation, and modern IT operations.
Working directly under the mentorship of the Manager of IT Hosting, this individual will gain exposure to cloud engineering best practices while contributing to critical infrastructure initiatives across both cloud and on-premises environments.
The ideal candidate is eager to learn, enjoys solving technical problems, and has a foundational understanding of cloud technologies, networking, scripting, or systems administration.
What You'll Do
  • Assist with the deployment, configuration, and support of cloud infrastructure environments.
  • Support ongoing cloud migration, modernization, and optimization initiatives.
  • Learn and apply Infrastructure as Code (IaC) principles using tools such as Terraform.
  • Assist in managing cloud resources across Azure and AWS environments.
  • Help monitor cloud performance, reliability, and security.
  • Participate in troubleshooting infrastructure, networking, and platform-related issues.
  • Create and maintain technical documentation, diagrams, and operational procedures.
  • Support automation efforts through scripting and process improvement initiatives.
  • Collaborate with infrastructure, security, networking, and application teams on various technology projects.
  • Participate in team meetings, knowledge-sharing sessions, and mentoring opportunities.

Required Qualifications
  • Bachelor's degree in Information Technology, Computer Science, Information Systems, Engineering, or a related field (or expected graduation within the next few months).
  • Basic understanding of cloud computing concepts and services.
  • Foundational knowledge of networking, operating systems, or systems administration.
  • Familiarity with at least one scripting language such as PowerShell, Python, or Bash.
  • Strong problem-solving skills and willingness to learn new technologies.
  • Excellent communication and teamwork skills.

Preferred Qualifications
  • Exposure to Microsoft Azure and/or Amazon Web Services (AWS).
  • Familiarity with Infrastructure as Code concepts (Terraform, CloudFormation, ARM, etc.).
  • Experience through internships, labs, personal projects, coursework, or certifications.
  • Understanding of virtualization technologies such as VMware.
  • Relevant certifications such as:
  • Microsoft Azure Fundamentals (AZ-900)
  • AWS Cloud Practitioner
  • CompTIA Network+
  • CompTIA Security+

What You'll Learn
This role is designed to provide hands-on experience and mentorship in:
  • Enterprise cloud engineering
  • Infrastructure as Code (IaC)
  • Cloud security fundamentals
  • Automation and scripting
  • Hybrid cloud operations
  • Infrastructure monitoring and support
  • Modern DevOps and platform engineering practices

Why This Opportunity?
  • Direct mentorship from an experienced cloud and infrastructure leader.
  • Exposure to large-scale enterprise cloud environments.
  • Opportunity to develop highly marketable cloud engineering skills.
  • Strong likelihood of contract extension beyond the initial six-month engagement.
  • Excellent entry point into a long-term career in cloud and infrastructure engineering.

AE Business Solutions does not sponsor applications for employment visas
AE Business Solutions is an Equal Opportunity Employer