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Remote Ai Computer Science Jobs in Wisconsin (NOW HIRING)

FL - Computer Science and Business * TN - CTE * TX - CTE and Healthcare/Health Sciences * MN ... As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ...

Virtual Teacher

Milwaukee, WI · On-site +1

$44K/yr

FL - Computer Science and Business * TN - CTE * TX - CTE and Healthcare/Health Sciences * MN ... As a remote-friendly company, Imagine Learning offers flexible work arrangements across the U.S ...

Remote bevorzugt, gelegentliche Vor-Ort-Termine nach Absprache 400 - 450 a day Aufgaben Aufbau, ... Enablement von Data-Science- und Entwicklungsteams Mitwirkung bei KI-Projekten ...

AI Innovation Engineer

Madison, WI · On-site +1

$90K - $135K/yr

Remote work requires an approved flexible work arrangement (FWA), which is reviewed and approved ... computer. Per University policy, transportation between home and assigned work location is not ...

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Remote Ai Computer Science information

What is a remote AI computer science job?

A remote AI computer science job involves working from a location outside a traditional office—often from home—on tasks related to artificial intelligence and computer science. Professionals in this role typically develop, test, and deploy AI models, analyze large datasets, and write code to solve complex problems. They may collaborate with teams using online tools and are expected to stay updated on the latest AI technologies and programming languages. This job can be found in industries ranging from tech startups to large corporations, and offers flexibility in work schedule and location.

What are the key skills and qualifications needed to thrive as a Remote AI Computer Scientist, and why are they important?

To thrive as a Remote AI Computer Scientist, you need a strong background in computer science, programming (Python, Java, or C++), and a solid understanding of machine learning algorithms, typically supported by a degree in computer science or a related field. Familiarity with AI frameworks (such as TensorFlow or PyTorch), cloud platforms, and relevant certifications like TensorFlow Developer or AWS Certified Machine Learning are common technical requirements. Excellent problem-solving skills, self-motivation, and effective remote communication are soft skills that set top performers apart. These abilities are critical for developing innovative AI solutions, collaborating with distributed teams, and adapting to rapidly changing technology landscapes.

What are the typical collaboration methods for remote AI Computer Science professionals working on team projects?

Remote AI Computer Science professionals often collaborate using a combination of cloud-based code repositories, video conferencing, and project management tools. Teams typically hold regular virtual stand-ups, code review sessions, and brainstorming meetings to ensure alignment and knowledge sharing. Effective communication and documentation are crucial, as team members may be in different time zones. Additionally, pair programming and collaborative debugging sessions are common practices to maintain code quality and foster team cohesion.
What are the most commonly searched types of Ai Computer Science jobs in Wisconsin? The most popular types of Ai Computer Science jobs in Wisconsin are:
What are popular job titles related to Remote Ai Computer Science jobs in Wisconsin? For Remote Ai Computer Science jobs in Wisconsin, the most frequently searched job titles are:
What cities in Wisconsin are hiring for Remote Ai Computer Science jobs? Cities in Wisconsin with the most Remote Ai Computer Science job openings:
Senior Software Engineer - Generative AI

Senior Software Engineer - Generative AI

Accuity

Sheboygan, WI • On-site, Remote

$132K - $167K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Job description

Acuity is seeking a Senior Software Engineer to design, build, and maintain production-ready Generative AI capabilities within existing applications and platforms. This role emphasizes delivering secure, scalable, and user-focused AI solutions using managed services and APIs, collaborating closely with engineers, architects, and business partners to deliver reliable, enterprise-aligned functionality. You will also troubleshoot production issues, refine AI orchestration logic, contribute technical guidance on AI platforms and access approaches, and mentor team members to support best practices, learning, and technical excellence.
Acuity will include at least one in-person interview during the hiring process for all positions.
ESSENTIAL FUNCTIONS:
  • Partner with business analysts, engineers, and stakeholders to understand business challenges and design strong AI solutions, including LLM based and agentic systems.
  • Demonstrate professionalism and integrity while serving as a role model for engineers and promoting a culture of excellence and curiosity.
  • Lead planning and scoping of AI projects, providing input on timelines, model selection, infrastructure, and deliverables.
  • Develop and enhance AI applications including RAG pipelines, model evaluation frameworks, and agent orchestrations.
  • Write clean, scalable, and maintainable code that supports high performing AI systems and meets reliability expectations.
  • Demonstrate expert understanding of data ecosystems and how they support AI workflows including data vectorization, retrieval, and context routing.
  • Perform testing, debugging, and output validation to ensure AI responses are accurate, safe, and aligned with business logic.
  • Produce and maintain clear technical documentation including integration specs, system diagrams, integration guides, and operational runbooks.
  • Identify and correct inefficiencies in code, architecture, prompts, data flows, and model parameter tuning.
  • Mentor other engineers in AI best practices, model behavior, prompt design, and responsible AI principles.
  • Perform code reviews and provide recommendations for accuracy, performance, and adherence to AI safety guidelines.
  • Direct and manage AI projects from initiation through delivery including model selection, benchmarking, deployment, and monitoring.
  • Identify and develop solutions for highly complex AI integration challenges like prompt chaining, retrieval design, agent coordination, and enterprise scale integrations.
  • Understand the architecture of the applications and AI systems you contribute to and ensure new development aligns with strategic patterns.
  • Stay current with AI industry trends/tooling and best practices including breakthroughs in LLMs, agents, and model safety.
  • Participate in regular attendance and complete mandatory training programs as assigned by Acuity.
  • Perform other duties as assigned.

EDUCATION:
Bachelor's degree or equivalent combination of education and experience in software engineering, computer science, or related field.
EXPERIENCE:
A software engineer with 5 or more years of experience in software engineering, including experience integrating AI capabilities into production applications using external services or APIs.
OTHER QUALIFICATIONS:
  • Expertise across a wide range of tools and technologies, including.
    • Programming languages such as Java, Python, and JavaScript.
    • Relational and non-relational databases including Db2, PostgreSQL, SQL Server, and vector databases.
    • Familiarity with web UI frameworks such as Vue, React, or Angular.
    • Knowledge of software development workflows, CI/CD pipelines and version control tools.
    • AI and Gen AI technologies including LLMs, Retrieval-Augmented Generation (RAG), standardized model connection protocols, agent frameworks, and prompt engineering.
    • Experience with AI Orchestration frameworks, like LangChain, to connect LLMs to data.
    • Familiarity with AI Observability tools to monitor and debug AI responses.
    • Understanding API Management, including rate limiting, latency, and token cost optimization.
    • Experience with cloud platforms including Azure, IBM, GCP, or AWS for AI services.
  • Ability to analyze user requirements, define technical specifications, estimate work, and deliver high quality solutions.
  • Strong analytical thinking with the ability to break down complex problems and apply practical AI driven approaches.
  • Strong communication skills and ability to work with cross functional teams.
  • Excellence in documentation, testing practices, and operational reliability.
  • Ability to stay current with AI advancements, LLM research, and evolving best practices.
  • Passion for building reliable, safe, and impactful Generative AI systems.

*Acuity does not sponsor applicants for U.S. work authorization.*
This job is classified as exempt.
The salary range for this position is $132,800 - $167,800 annually. This salary range is an estimate and the actual salary will vary based on applicant's education, experience, knowledge, skills, and abilities.
For this role, Acuity offers a comprehensive benefits package, including a generous 401(k) contribution, medical, dental, vision, life and disability insurance, paid time off, an Employee Assistance Program, and more. A full description of benefits and eligibility will be provided to candidates during the hiring process.
We are an Equal Employment Opportunity employer. Applicants and employees are considered for positions and are evaluated without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.
Acuity will include at least one in-person interview during the hiring process for all positions.
If you have a disability and require reasonable accommodations to apply or during the interview process, including for in-person interviews, please contact our Talent Acquisition team at careers@acuity.com. Acuity is dedicated to offering reasonable accommodations during our recruitment process for qualified individuals.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.