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Remote Software Engineer Co Op Jobs in Madison, WI

The CMC Development organization at Moderna is looking for top talent in science and engineering to ... That's why our co-op benefits are designed to support you during your time with us -at work, at ...

The CMC Development organization at Moderna is looking for top talent in science and engineering to ... That's why our co-op benefits are designed to support you during your time with us -at work, at ...

This position may be remote, with a preferred location in Illinois, Iowa, Massachusetts, New Jersey ... Training on the software platform will be provided. * Present and discuss findings with customers ...

Energy Engineer

Madison, WI ยท On-site +1

This position may be remote, with a preferred location in Illinois, Iowa, Massachusetts, New Jersey ... Training on the software platform will be provided. * Present and discuss findings with customers ...

Showing results 21-40

Remote Software Engineer Co Op information

See Madison, WI salary details

$64K

$148.6K

$207.1K

How much do remote software engineer co op jobs pay per year?

As of Sep 9, 2026, the average yearly pay for remote software engineer co op in Madison, WI is $148,649.00, according to ZipRecruiter salary data. Most workers in this role earn between $120,900.00 and $174,300.00 per year, depending on experience, location, and employer.

What is the difference between Remote Software Engineer Co Op vs Remote Software Engineer?

AspectRemote Software Engineer Co OpRemote Software Engineer
CredentialsTypically pursuing or have completed a relevant degree in Computer Science or related fieldUsually holds a degree or equivalent experience in software development
Work EnvironmentTemporary, internship-like position often part-time or seasonalFull-time, ongoing employment with remote work setup
Employer & Industry UsageUsed by companies offering internship or co-op programs, often in tech and software firmsCommon in tech companies, startups, and large corporations hiring full-time remote developers

In summary, a Remote Software Engineer Co Op is an internship or temporary role aimed at students or early-career professionals, while a Remote Software Engineer is a full-time, permanent position for experienced developers. The co-op provides practical experience, whereas the full-time role involves ongoing responsibilities and career growth.

What are the most commonly searched types of Remote Software Engineer jobs in Madison, WI?

The most popular types of Remote Software Engineer jobs in Madison, WI are:

Infographic showing various Remote Software Engineer Co Op job openings in Madison, WI as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 100% Remote job distribution, with an average salary of $148,649 per year, or $71.5 per hour.

Generative AI Automation Engineer - Remote Job

Madison, WI โ€ข Remote

EnthuZiastic
E-Learningย โ€ขย 11 - 50 employees

Full-time

Re-posted 20 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

โ€‹

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:

  • Bachelorโ€™s or Masterโ€™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.