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Remote Generative Ai Engineer Jobs in Wisconsin (NOW HIRING)

EnerSys

Senior Finance AI & Automation Developer

Adell, WI · On-site +1

$95K - $119K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Remote * Tuesday-Thursday: Onsite at our Reading, PA location Candidates outside the Reading, PA ... Job Purpose The Senior Finance AI & Automation Developer's primary responsibilities are to design ...

Cielo

Senior Director - Client Data Solutions

Wauwatosa, WI · Remote

$103K - $139K/yr

... AI Engineering, and Client Services to align integration and data capabilities with product strategy, AI initiatives, and long-term platform evolution. Role: Remote - United States Work set up:

Cielo

Senior Director - Client Data Solutions

Wauwatosa, WI · On-site +1

$103K - $139K/yr

... AI Engineering, and Client Services to align integration and data capabilities with product strategy, AI initiatives, and long-term platform evolution. Role: Remote - United States Work set up:

Elevance Health

Data Scientist Analyst

Waukesha, WI · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Apply NLP techniques and prompt engineering to build conversational and generative AI systems. * Develop APIs using FastAPI or Flask for model serving and integration. * Execute algorithms to address ...

EnsoData

Backend Software Engineer

Madison, WI · On-site +1

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Using AI and machine learning, our software analyzes billions of data points collected from sensors ... Remote and flexible schedule - we are a remote company with hybrid options and support for flexible ...

Qualysoft

Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache 400 - 450 a day Aufgaben Aufbau und ... B. AI Act , interne Policies, Kundenvorgaben) Abstimmung mit Plattform-, Fach- und Projektteams ...

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Remote Generative Ai Engineer information

What is the difference between Remote Generative Ai Engineer vs Remote Machine Learning Engineer?

AspectRemote Generative Ai EngineerRemote Machine Learning Engineer
Required CredentialsBachelor's or higher in CS, AI, or related; experience with generative modelsBachelor's or higher in CS, Data Science, or related; experience with ML algorithms
Work EnvironmentCollaborates on AI model development, focuses on generative models like GPT, GANsDevelops and deploys ML models for various applications, including predictive analytics
Employer & Industry UsageTech companies, AI startups, research institutionsTech firms, finance, healthcare, and data-driven industries

While both roles involve AI and machine learning, a Remote Generative Ai Engineer specializes in creating models that generate content, such as text or images, using generative techniques. In contrast, a Remote Machine Learning Engineer works on a broader range of ML models for predictive or classification tasks. The roles often overlap but differ in focus and application.

What are the key skills and qualifications needed to thrive as a remote generative AI engineer?

To thrive as a Remote Generative AI Engineer, you need a solid background in computer science, machine learning, and deep learning, typically with a relevant degree and experience in building AI models. Familiarity with frameworks like TensorFlow or PyTorch, cloud platforms (such as AWS or Azure), and version control systems like Git is essential. Strong problem-solving, self-motivation, and effective remote communication set outstanding engineers apart in this role. These skills are crucial for developing innovative AI solutions, collaborating across distributed teams, and delivering impactful results in a remote work environment.

How do remote generative AI engineers typically collaborate with cross-functional teams to deliver AI-driven solutions?

Remote Generative AI Engineers often work closely with data scientists, product managers, and software engineers to integrate generative AI models into products or services. Collaboration is usually facilitated through virtual meetings, code repositories, and project management tools, enabling seamless communication across different time zones. Regular check-ins and sprint reviews help ensure alignment on goals, while documentation and clear communication are essential for maintaining project momentum. This collaborative environment not only fosters innovation but also allows engineers to gain exposure to a variety of perspectives and expertise.

What is a remote generative AI engineer?

A Remote Generative AI Engineer is a technology professional who specializes in developing, training, and deploying artificial intelligence models that can generate new content—such as text, images, audio, or video—while working from a remote location. These engineers typically work with advanced machine learning techniques like deep learning, neural networks, and large language models. Their responsibilities often include designing algorithms, optimizing model performance, and collaborating with distributed teams to build innovative AI-driven solutions. The remote aspect allows them to perform their duties from anywhere with internet access, offering flexibility and access to global opportunities.

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

The most popular types of Generative Ai Engineer jobs in Wisconsin are:

What are popular job titles related to Remote Generative Ai Engineer jobs in Wisconsin?

For Remote Generative Ai Engineer jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Remote Generative Ai Engineer jobs in Wisconsin look for?

The top searched job categories for Remote Generative Ai Engineer jobs in Wisconsin are:

What cities in Wisconsin are hiring for Remote Generative Ai Engineer jobs?

Cities in Wisconsin with the most Remote Generative Ai Engineer job openings:

Remote Generative Ai Engineer jobs near you

Business Document Expert & AI Evaluator

micro1 AI

Milwaukee, WI • Remote

$35 - $50/hr

Part-time

Re-posted 7 days ago

Job description

Role Title: Business Document Expert (Excel, PowerPoint, Word)


Role Type: Contractor


Location: Remote


micro1 is engaging Business Document Experts (Excel, PowerPoint, Word) to participate in a project designed to advance AI capabilities in professional business documentation. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input.


Scope of Work


  1. Design and create realistic business tasks and scenarios based on your professional experience involving complex PowerPoint, Excel, and Word deliverables.
  2. Engage in dynamic, prompt-driven conversations with language models, challenging them with work representative of Fortune 500 business environments.
  3. Evaluate AI-generated solutions by comparing multiple model responses, assessing quality, accuracy, and effectiveness for real-world business needs.
  4. Develop and submit detailed assessments highlighting strengths, weaknesses, and areas for model improvement based on your domain expertise.
  5. Contribute cross-functional tasks such as financial modeling, executive presentations, strategic proposals, or data-driven reporting, tailored to your industry background.
  6. Document findings and provide actionable feedback to inform the ongoing development of AI systems for business documentation use cases.
  7. Collaborate asynchronously with project coordinators to ensure the authenticity and utility of submitted challenges and evaluations.


Preferred Qualifications

  1. At least 3 years of hands-on experience in business settings across finance, healthcare, consulting, tech, retail, or related industries.
  2. Extensive proficiency with advanced Excel, PowerPoint, and Word—creating complex models, reports, presentations, and analyses.
  3. Direct experience supporting or driving projects in strategy, operations, sales, marketing, finance, or HR functions within a Fortune 500 context.
  4. Expertise in designing nuanced business scenarios that reflect challenging, high-impact office deliverables.
  5. Strong written and verbal communication skills, with the ability to clearly articulate feedback and rationale in documentation.
  6. Familiarity with conversational interactions or prompt engineering with language models is a plus, but not required.

Apply