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Data Annotation For Ai Jobs in Wisconsin (NOW HIRING)

For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen ... The Principal Data & AI Architect will be responsible for designing, developing, and implementing ...

For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen ... The Principal Data & AI Architect will be responsible for designing, developing, and implementing ...

WI · On-site

$100 - $125/hr

Our AI team delivers production-grade AI systems in various industries & organizations. This cross ... Develop strategies for treating data as a critical asset; * Product mindset & continuous ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * J.D. from an ABA-accredited ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of in ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of in ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of in ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of Counsel ...

Collaborate with product and research teams to refine data, guidelines, and best practices for AI-driven contract review solutions. Required Skills and Qualifications: * Minimum of 3 years of in ...

Showing results 21-40

Data Annotation For Ai information

What is data annotation for AI?

Data annotation for AI is the process of labeling or tagging data—such as text, images, audio, or video—to make it understandable for machine learning models. Annotators add relevant information to raw data, helping AI systems learn to recognize patterns and make accurate predictions. This step is crucial for training, validating, and testing AI algorithms, especially in tasks like computer vision and natural language processing. High-quality data annotation directly impacts the effectiveness and reliability of AI applications.

What are some common challenges faced by data annotators working on AI projects, and how can they be addressed?

Data annotators for AI often encounter challenges such as maintaining consistency across large datasets, understanding ambiguous labeling instructions, and managing repetitive tasks. To address these issues, it's important to actively seek clarification on guidelines, participate in team discussions to align on labeling standards, and use annotation tools that flag inconsistencies. Regular feedback sessions with project leads also help improve accuracy and efficiency, fostering a collaborative and supportive work environment.

What are the key skills and qualifications needed to thrive as a data annotation specialist for AI, and why are they important?

To thrive as a Data Annotation Specialist for AI, you need a keen eye for detail, a solid understanding of data labeling concepts, and often a background in the relevant domain (such as language, images, or audio). Proficiency with annotation platforms, data management systems, and basic familiarity with tools like Excel or Python can be highly valuable. Strong communication, consistency, and time management skills help ensure accuracy and meet project deadlines. These abilities are crucial because high-quality, well-annotated data is foundational for training reliable and effective AI models.

What is the difference between Data Annotation For Ai vs Data Labeler?

AspectData Annotation For AiData Labeler
CredentialsBasic computer skills, attention to detailBasic computer skills, attention to detail
Work EnvironmentRemote or on-site, tech companies, AI projectsRemote or on-site, data processing companies
Industry UsageArtificial Intelligence, Machine LearningData management, content moderation
Job FocusPreparing data for AI algorithms through annotationLabeling data for various purposes, including AI

Data Annotation For Ai involves preparing datasets specifically for training AI models, focusing on detailed annotations. Data Labeler is a broader role that includes labeling data for multiple purposes, including AI but also other data management tasks. While both roles require similar skills, Data Annotation For Ai is more specialized towards AI development projects.

What are popular job titles related to Data Annotation For Ai jobs in Wisconsin?

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

What job categories do people searching Data Annotation For Ai jobs in Wisconsin look for?

The top searched job categories for Data Annotation For Ai jobs in Wisconsin are:

What cities in Wisconsin are hiring for Data Annotation For Ai jobs?

Cities in Wisconsin with the most Data Annotation For Ai job openings:

Infographic showing various Data Annotation For Ai job openings in Wisconsin as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, and 2% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution.

Principal Data & AI Architect

DR Power LLP

Waukesha, WI • On-site

$150 - $200/hr

Other

Posted 14 days ago


Job description

We believe power is a promise - a shared commitment to be there for others when it matters most. For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future. Ready to Power a Smarter World with us?

The Principal Data & AI Architect will be responsible for designing, developing, and implementing advanced Data & AI solutions and architectures that align with the company’s strategic goals and objectives. This role requires deep technical expertise, leadership, and the ability to collaborate across cross-functional teams to deliver scalable and innovative AI solutions.

Major Responsibilities :

Lead the design and development of Data & AI architectures, including designing and architecting Enterprise data/MDM solutions, machine learning models, deep learning frameworks, and generative AI systems. Responsible for analyzing, implementing and deploying these solutions both on-premises and in the cloud. Define technical strategies and roadmaps for Data & AI-driven projects, ensuring alignment with business objectives. Collaborate with data scientists, data engineers, business functional and product teams to integrate Data & AI solutions into production environments. Advice, oversee the evaluation and adoption of Data & AI technologies, tools, and platforms. Serve as the technical leader and mentor to Data & AI and engineering teams. Deliver scalable, secure, and optimized Data & AI solutions. Lead Data & analytic literacy of the organization and serve as a translator of deep technical concepts into simple business vernacular. Be aware and lead industry trends and advancements in Data & AI to help maintain a competitive edge. Communicate complex technical concepts to non-technical stakeholders effectively. This is an individual contributor role.

Minimum Job Requirements:

Education Advanced degree (Master’s or Ph.D.) in Computer Science, Artificial Intelligence, Machine Learning, or a related field also acceptable. Work Experience 8 or more years of experience in AI, machine learning, or data science, with at least 4 years in a senior or lead architect role. Proven track record of designing and deploying large-scale Data & AI systems in production environments. Experience leading cross-functional teams in the delivery of complex AI projects. Hands‑on experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and AI frameworks (e.g., TensorFlow, PyTorch, scikit-learn). Knowledge / Skills / Abilities Must be deeply curious, desire to experiment. Expertise in machine learning algorithms, Neural networks, Genetic Algorithms, Decision trees, Business dynamic models, Agent based models, Advanced statistical techniques and operations research. Strong proficiency in programming languages such as Python, R, or Java. Ability to design scalable, secure, and efficient AI architectures. Exceptional problem‑solving and analytical skills. Strong leadership and mentorship abilities, with a focus on fostering innovation and collaboration. Excellent communication skills, capable of translating technical concepts to diverse audiences. Ability to work in a fast‑paced, dynamic environment and manage multiple priorities.

Preferred Job Requirements:

Education Ph.D. In Operations Research, Data Science, or a closely related field. Master’s degree in a relevant field with significant research or project work in AI or machine learning. Certification / License Relevant certifications such as AWS Certified Machine Learning – Specialty, Google Professional Machine Learning Engineer, or Microsoft Certified: Azure AI Engineer Associate. Work Experience Experience with generative AI and reinforcement learning. Knowledge / Skills / Abilities Publications or patents in AI, machine learning, or related fields. Familiarity with DevOps practices and MLOps pipelines for AI deployment. Experience in industries such as healthcare, finance, or technology.

Physical Requirements and Working Conditions

While performing the duties of this job, the employee is regularly required to talk and hear; and use hands to manipulate objects or controls. The employee is regularly required to stand and walk. On occasion, the incumbent may be required to stoop, bend, or reach above the shoulders. The employee must occasionally lift up to 25 pounds. Specific conditions of this job are typical of frequent and continuous computer-based work requiring periods of sitting, close vision, and the ability to adjust focus. Occasional travel.

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, national origin, disability status, protected veteran status, or any other characteristic protected by law.

We believe power is a promise - a shared commitment to be there for others when it matters most. For more than 65 years, we've turned big ideas into solutions that help protect homes, strengthen businesses and build a more resilient, efficient, sustainable energy future. Ready to Power a Smarter World with us?

As one of the leaders and largest suppliers of power generation equipment and technology, the work we do touches millions of lives. Employees at Generac are encouraged to be innovative and are valued as an integral part of our global team. Our challenging goals develop knowledgeable employees dedicated to helping continue Generac’s success. Generac provides individuals the opportunity to work in a fast-paced agile work environment where their work makes a difference in people’s lives and their own.

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