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Ai Optimization Jobs in Wisconsin (NOW HIRING)

WI · On-site

$125 - $150/hr

Own functional design, deployment, governance, and continuous optimization of logistics technology ... Lead development of analytics, dashboards, automated data solutions, AI virtual server, and ...

New

WI · On-site

$150 - $200/hr

... optimization. This role combines AI leadership, software engineering, data science, and airline cargo domain expertise to deliver innovative products that improve airline revenue, capacity ...

WI · On-site

$100 - $125/hr

Design and develop AI agents for ad performance optimization * Build machine learning models for creative generation * Implement natural language processing for ad copy generation * Collaborate with ...

WI · On-site

$150 - $200/hr

Tiger Analytics is pioneering what AI and analytics can do to solve some of the toughest problems ... Responsible for refactoring the Optimization algorithm written in Python using Object Oriented ...

WI · On-site

$125 - $150/hr

Utilize SQL for data manipulation, querying, and analysis to support AI model development and optimization. * Collaborate with cross-functional teams to integrate AI solutions into existing ...

WI · On-site

$125 - $150/hr

Utilize SQL for data manipulation, querying, and analysis to support AI model development and optimization. * Collaborate with cross-functional teams to integrate AI solutions into existing ...

New

WI · On-site

$100 - $125/hr

Knowledge of search, optimization, and applied AI techniques such as anomaly detection, recommendation, and natural language interaction. * Strong problem-solving mindset, with ability to balance ...

WI · On-site

$150 - $200/hr

Experience developing architectural approaches to shift toward AI-optimized cloud services, and infrastructure performance and scalability.Knowledge of integrating AI solutions into existing ...

AI Integration Architect

Milwaukee, WI · On-site

$69.75 - $90/hr

Treat AI agents as primary consumers of our systems and ensure that APIs, tool descriptions, and data outputs are optimized for LLM comprehension, context limits, and deterministic reasoning.

WI · On-site

$150 - $200/hr

De rol overbrugt Digital Marketing, Content, SEO/GEO, Customer Experience, Data en AI door AI-technologieën om te zetten in meetbare business impact, productiviteitswinst en verbeterde klantreizen.

WI · On-site

$125 - $150/hr

Writing and optimizing code for high‑performance AI models. * Develop an actionable Generative AI roadmap and drive solution development using Gen‑AI and Agentic AI capabilities. Collaboration ...

AI Engineer

Oregon, WI · On-site

$150 - $200/hr

Develop intelligent automation solutions for test case generation, defect analysis, knowledge management, predictive analytics, and process optimization. * Integrate AI capabilities into enterprise ...

... Optimizing open-weight language models, including LLaMA, Mistral, and Gemma, for local and cloud ... for AI projects - Utilizing machine learning libraries like Scikit-Learn for data analysis ...

Develop and support AI solutions for shop floor applications such as predictive maintenance, quality inspection, yield optimization, and throughput improvement. Data Engineering & Platform ...

Showing results 21-40

Ai Optimization information

What are common challenges faced by professionals in AI optimization roles, and how can they be overcome?

Professionals in AI Optimization often encounter challenges such as balancing model accuracy with computational efficiency, handling large and complex datasets, and staying updated with rapidly evolving algorithms. To overcome these, it's important to collaborate closely with data engineers and domain experts, utilize scalable computing resources, and continuously invest in learning new optimization techniques. Participating in knowledge-sharing forums and leveraging open-source tools can also help address these challenges effectively.

What are the key skills and qualifications needed to thrive as an AI optimization specialist, and why are they important?

To thrive as an AI Optimization Specialist, you need a strong background in computer science, mathematics, and machine learning, often supported by a degree in a related field. Proficiency with programming languages like Python, optimization frameworks (such as TensorFlow or PyTorch), and knowledge of cloud platforms are typically required, along with relevant certifications. Analytical thinking, problem-solving, and effective communication are essential soft skills for translating complex data into actionable solutions. These skills ensure the development of efficient, scalable AI models that drive business value and innovation.

What is the difference between Ai Optimization vs Data Scientist?

AspectAi OptimizationData Scientist
Required CredentialsDegree in Computer Science, Data Science, or related fields; knowledge of AI/ML frameworksDegree in Statistics, Computer Science, or related fields; proficiency in programming and statistical analysis
Work EnvironmentTech companies, AI-focused teams, R&D departmentsResearch institutions, tech firms, finance, healthcare
Employer & Industry UsagePrimarily in AI development, machine learning optimization projectsData analysis, predictive modeling, data-driven decision making

Ai Optimization specialists focus on enhancing AI models' performance and efficiency, often working on machine learning algorithms and deployment. Data Scientists analyze large datasets to extract insights, build predictive models, and support decision-making. While both roles require strong technical skills and knowledge of data and algorithms, Ai Optimization is more specialized in refining AI systems, whereas Data Scientists have a broader scope in data analysis and interpretation.

What is AI optimization?

AI optimization involves developing and applying algorithms to improve the performance, efficiency, or accuracy of artificial intelligence systems. AI optimization specialists often work with machine learning models, tuning parameters, and using tools like Python or TensorFlow to enhance AI capabilities. Strong analytical skills and knowledge of optimization techniques are essential for this role.

Which AI Optimization job is highly paid?

Senior AI Optimization engineers and machine learning engineers specializing in AI model efficiency and deployment tend to have the highest salaries in the field. These roles often require advanced skills in deep learning, programming, and data analysis, and they typically command higher compensation due to their technical complexity and impact on business performance.

What are popular job titles related to Ai Optimization jobs in Wisconsin?

For Ai Optimization jobs in Wisconsin, the most frequently searched job titles are:

What job categories do people searching Ai Optimization jobs in Wisconsin look for?

The top searched job categories for Ai Optimization jobs in Wisconsin are:

What cities in Wisconsin are hiring for Ai Optimization jobs?

Cities in Wisconsin with the most Ai Optimization job openings:

Infographic showing various Ai Optimization job openings in Wisconsin as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 63% Physical, 4% Hybrid, and 33% Remote job distribution.

Product Development Chemist - AI Trainer - Remote

Madison, WI • Remote

micro1 AI
Software Development • 11 - 50 employees

$70 - $90/hr

Part-time

Re-posted 11 days ago


Job description

Role Title: Chemistry Specialist


Role Type: Contractor


Location: Remote


micro1 is engaging Chemistry Specialists to participate in a project supporting a leading customer in the scientific and research domain. 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. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Conduct qualitative and quantitative chemical analyses and experiments to support product development, quality control, or process optimization.
  2. Design and interpret complex laboratory experiments involving chemical reactions, synthesis, and separation techniques.
  3. Document laboratory methodologies, data, and findings clearly and accurately, ensuring reproducibility and scientific integrity.
  4. Critically evaluate experimental outcomes to propose improvements or new investigative approaches.
  5. Collaborate and communicate effectively in written and verbal formats with project stakeholders, providing insights and recommendations.
  6. Translate intricate chemistry concepts and experimental results into clear, actionable information for non-specialist audiences.
  7. Contribute domain-specific expertise to enhance the training datasets and reasoning capabilities of AI systems.


Preferred Qualifications

  1. Advanced degree (PhD preferred) in Chemistry or closely related field.
  2. Extensive hands-on experience with wet lab techniques, experimental design, and instrumentation.
  3. Deep understanding of chemical reactions, analytical chemistry, and laboratory best practices.
  4. Demonstrated critical thinking skills and a record of innovative problem-solving in research or applied chemistry settings.
  5. Strong written and verbal communication skills, with the ability to convey technical concepts clearly.
  6. Experience contributing to interdisciplinary projects or cross-functional collaborations.
  7. Familiarity with quality control protocols, safety standards, and regulatory guidelines is a plus.