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Data Annotation For Ai Jobs in Delafield, WI (NOW HIRING)

AgSource

AI Engineer

Watertown, WI · On-site +1

Our next challenge is turning that data into actionable intelligence that helps producers make better decisions. We're looking for an AI Engineer to help build the next generation of intelligent ...

Urus Group LP

Senior AI/ML Engineer

Watertown, WI · On-site +1

$99K - $136K/yr

VAS is the Operating System of the modern dairy with decades of longitudinal data for the most ... We are seeking a Senior AI/ML Engineer to lead the building of scalable real-time production-grade ...

Briggs & Stratton

AI Solutions Lead

Wauwatosa, WI · Hybrid

... for accuracy and safety. * Implement technical guardrails to ensure all AI solutions comply with security frameworks, focusing on data privacy, hallucination mitigation, and ethical AI usage. The ...

Briggs & Stratton

AI Solutions Lead

Wauwatosa, WI · Hybrid

... for accuracy and safety. * Implement technical guardrails to ensure all AI solutions comply with security frameworks, focusing on data privacy, hallucination mitigation, and ethical AI usage. The ...

Briggs & Stratton

AI Solutions Lead

Wauwatosa, WI · On-site

... for accuracy and safety. * Implement technical guardrails to ensure all AI solutions comply with security frameworks, focusing on data privacy, hallucination mitigation, and ethical AI usage. The ...

Briggs & Stratton

AI Solutions Lead

Wauwatosa, WI · On-site

... for accuracy and safety. * Implement technical guardrails to ensure all AI solutions comply with security frameworks, focusing on data privacy, hallucination mitigation, and ethical AI usage. The ...

Rockwell Automation

Manager, AI Engineering

Milwaukee, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Define evaluation methods for LLM outputs, retrieval quality, prompt performance, model behavior, data quality, user feedback, and operational reliability. * Monitor production AI solutions for ...

Rockwell Automation

Manager, AI Engineering

Milwaukee, WI · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Define evaluation methods for LLM outputs, retrieval quality, prompt performance, model behavior, data quality, user feedback, and operational reliability. * Monitor production AI solutions for ...

Koitecc Solutions

Manager, AI Engineering

Milwaukee, WI · On-site

$140 - $190/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Define evaluation methods for LLM outputs, retrieval quality, prompt performance, model behavior, data quality, user feedback, and operational reliability. * Monitor production AI solutions for ...

Deloitte

Google AI Architect

Milwaukee, WI

Implement security and governance for AI/ML systems (data privacy, model poisoning, adversarial attacks); apply Gemini safety features and enterprise guardrails. Responsibilities include: * Architect ...

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Showing results 21-40

All JobsData Annotation For Ai JobsData Annotation For Ai Jobs in Delafield, WI

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 Delafield, WI?

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

What cities near Delafield, WI are hiring for Data Annotation For Ai jobs?

Cities near Delafield, WI with the most Data Annotation For Ai job openings:

Data Annotation For Ai jobs near you

AI Engineer

AgSource

Watertown, WI • On-site, Remote

Full-time

Posted 21 days ago

Job description


Turn decades of data into intelligence that helps feed the world.
VAS has decades of longitudinal data from some of the most productive dairy operations in the world. Our next challenge is turning that data into actionable intelligence that helps producers make better decisions.
We're looking for an AI Engineer to help build the next generation of intelligent capabilities within our products. You'll work at the intersection of data, machine learning, software engineering and product to turn complex, real-world data into production AI solutions.
This isn't about AI for AI's sake. Sometimes the right answer is machine learning. Sometimes it's optimization, classical statistics or generative AI. We want someone with the technical depth and judgment to know the difference.
What You'll Do
  • Build and deploy production-grade AI/ML solutions that turn complex farm data into actionable intelligence.
  • Explore large, distributed and legacy datasets to uncover patterns and opportunities for new product capabilities.
  • Engineer features, select modeling approaches and design experiments to evaluate outcomes.
  • Move models from exploration into scalable, real-time production applications.
  • Integrate, deploy, fine-tune and monitor models using cloud infrastructure, including AWS and Databricks.
  • Build testing and observability for AI systems, including behavioral testing, trace analysis and agent debugging.
  • Evaluate emerging technologies such as agentic AI, MCP and orchestration frameworks.
  • Partner with product, engineering and dairy science teams to turn ambiguous customer problems into working solutions.
  • Help advance the tools, standards and practices that will support AI development at VAS.
  • Collaborate on user-facing AI experiences using React and TypeScript when needed.

What We're Looking For
We're looking for someone who has gone deep at the intersection of data + machine learning and has a track record of putting models into production.
Your background might include software engineering, data engineering, data science, machine learning engineering or AI engineering. The path matters less than the depth of what you've built.
Ideally, you bring:
  • Significant experience building production software and AI/ML solutions, with demonstrated depth in data, machine learning and model deployment.
  • Experience working with complex, distributed or legacy data, including inconsistent schemas and incomplete records.
  • Strong experience with feature engineering, model selection, experimentation and evaluation.
  • The ability to work across approaches, from classical statistics and machine learning to modern generative AI, choosing the right solution for the problem.
  • Experience taking models from experimentation through production deployment and monitoring.
  • Experience with deep learning frameworks and cloud-based AI services.
  • Experience with AWS and/or Databricks.
  • Exposure to agentic architectures, MCP or modern AI orchestration frameworks.
  • Strong software engineering fundamentals and a pragmatic approach to solving problems.
  • The ability to translate ambiguous requirements into working systems and communicate technical tradeoffs across engineering, product and domain teams.
  • A bachelor's degree in Software Engineering, Computer Science, Data Science, AI/ML or a related field is preferred.

Why VAS?
VAS is the operating system of the modern dairy, with a leading U.S. market position and growing global reach. Our highly customizable systems have created an incredibly rich and complex data environment.
You'll have an opportunity to help shape what comes next. You'll help turn our rich data into intelligent, customer-facing solutions that create real-world value.
You can build AI anywhere. Here, you can use it to help feed the world.
About Us
For the past 40 years we've woken up each day to support those that never stop feeding the world - and we have no plans to quit. We set the standard for farm management solutions and fix our eyes on raising the bar to meet the next generation of expectations.
Our software and information solutions help collect and connect a farm's data - from herd management to feed performance, tracking and more. These insights are a source of truth, empowering producers and their trusted advisors to make profit-driven and sustainable management decisions.
Whether near or far, large or small, VAS is at the heart of your dairy.
VAS has deep roots in the industry through its origin within the URUS family of companies. As a holding company with cooperative and private ownership, URUS is a family of businesses at the heart of the dairy and beef industry - Alta Genetics, GENEX, Genetics Australia, Leachman Cattle, Jetstream, PEAK, SCCL, Trans Ova Genetics and VAS. Each organization has its unique identity, products, and services. These companies work globally to provide cutting-edge dairy and beef genetics, customized reproductive services to maximize conceptions, dairy management information to take producers to the frontline of progressive dairy farming, and an array of products and services to help bovines reach their full genetic potential. URUS has 9 brands in 17 retail countries and employs nearly 2,800 people globally.

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