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Data Labelling Jobs in Wisconsin (NOW HIRING)

Inizio Partners Corp

Sr. Fabric Data Engineer

Madison, WI

$106.80K - $145.10K/yr

Implement governance and compliance capabilities within Fabric, including cataloging, sensitivity labeling, and granular access control. * Support regulatory requirements for insurance data, ensuring ...

Deloitte

Cyber Data Protection Manager

Milwaukee, WI · Remote

$109.40K - $147.80K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

Deloitte

Cyber Data Protection Manager

Milwaukee, WI · Remote

$109.40K - $147.80K/yr

DLP, sensitivity labels, data classification, DSPM, DSPM for AI, on-demand classification, or related Microsoft 365 data security capabilities * Knowledge of AI security and governance concepts ...

Kohler

Manager, Product Data Management

Kohler, WI

$122.85K - $191.15K/yr

Support label printing setup and definition. * Ensure high availability, data quality, and performance across all data engineering systems. * Introduce automation and monitoring to optimize pipeline ...

Kohler Co.

Manager, Product Data Management

Kohler, WI · On-site

$122.85K - $191.15K/yr

Support label printing setup and definition. * Ensure high availability, data quality, and performance across all data engineering systems. * Introduce automation and monitoring to optimize pipeline ...

Tailored Label Products Inc

Finisher - 2nd Shift

Slinger, WI · On-site

$18.25 - $22.50/hr

... label rolls after press production to ensure product is finished to job ticket requirements · Accurately enters job data into computer for traceability · Identifies material problems and/or ...

Paradigm

Senior Applied AI Engineer

Middleton, WI · On-site

$127K - $187K/yr

Familiarity with data labeling, feedback loops, and fine-tuning to improve domain-specific accuracy is preferred. * Familiarity with agent performance metrics and lifecycle management across ...

Brady Corporation

Inspector 3rd Shift

Milwaukee, WI · On-site

Use various computer programs/systems to make labels, execute transactions, send e-mails, and enter process data. * Maintain work area through good housekeeping habits. * Maintain department supplies ...

Brady Corporation

Inspector 3rd Shift

Milwaukee, WI · On-site

Use various computer programs/systems to make labels, execute transactions, send e-mails, and enter process data. * Maintain work area through good housekeeping habits. * Maintain department supplies ...

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Data Labelling information

What is a Data Labelling job?

A Data Labelling job involves annotating data, such as text, images, audio, or video, to help train machine learning models. Labelers categorize or tag data by following specific guidelines to ensure accuracy and consistency. This process is essential for improving AI applications, including image recognition, natural language processing, and autonomous systems. Attention to detail and adherence to instructions are key skills required for this role.

What are the key skills and qualifications needed to thrive in the Data Labelling position, and why are they important?

To thrive as a Data Labelling professional, you need strong attention to detail, proficiency with data annotation processes, and a basic understanding of machine learning concepts. Familiarity with annotation tools like Labelbox, Supervisely, or Amazon SageMaker Ground Truth is often required, and some roles may value certifications in data processing or AI fundamentals. Reliability, patience, and the ability to follow precise instructions are important soft skills for success in this position. These skills ensure accurate and consistent data labeling, which is critical for developing effective AI models and maintaining data integrity.

What are the typical daily responsibilities of a Data Labelling professional?

Data Labelling professionals are generally responsible for reviewing and accurately annotating large volumes of data—such as images, audio, video, or text—to support machine learning and AI projects. This often involves using specialized labeling platforms and following detailed guidelines provided by data scientists or project managers. You may also participate in regular team meetings to discuss quality standards or address ambiguities in data, and your work is typically reviewed for accuracy before being integrated into training datasets. Collaborating with other data annotators, engineers, and analysts is a common part of the process to ensure consistency and high-quality results.
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Data Labelling jobs near you
Infographic showing various Data Labelling job openings in Wisconsin as of May 2026, with employment types broken down into 1% As Needed, 94% Full Time, and 5% Part Time. Highlights an 97% Physical, and 3% Hybrid job distribution.

Sr. Fabric Data Engineer

Inizio Partners Corp

Madison, WI

$106.80K - $145.10K/yr

Full-time

Posted 13 days ago

Job description

Role & Responsibilities Overview:

  • Architect and implement end‑to‑end data solutions using Microsoft Fabric components including Data Factory, Lakehouse, Warehouse, Real‑Time Analytics, and OneLake.
  • Design scalable data models, integration patterns, and storage strategies to support insurance datasets such as policy, claims, billing, actuarial, and customer information.
  • Create architectural blueprints, reference architectures, and reusable frameworks that align with enterprise engineering and cloud standards.
  • Develop and manage ingestion pipelines using Fabric Data Factory, enabling batch, real‑time streaming, and API‑based data integrations.
  • Build Lakehouse‑centered architectures to support advanced analytics, reporting, and machine learning workloads.
  • Optimize data pipelines for performance, reliability, and cost efficiency across Azure and Fabric environments.
  • Collaborate with Data Governance teams to ensure adherence to enterprise data standards, lineage tracking, metadata management, and data quality rules.
  • Implement governance and compliance capabilities within Fabric, including cataloging, sensitivity labeling, and granular access control.
  • Support regulatory requirements for insurance data, ensuring compliance with NAIC guidelines, state-level regulations, and data privacy laws.
  • Partner with cloud engineering and security teams to optimize Fabric deployments integrated with Azure AD, Microsoft Purview, and Power BI.
  • Ensure architectural alignment with enterprise cloud strategy, security frameworks, and operational guardrails.
  • Evaluate new Microsoft Fabric features, capabilities, and roadmap items, recommending adoption and modernization strategies.
  • Collaborate with business and analytics stakeholders to translate domain requirements into robust, scalable data solutions.
  • Provide technical direction and architectural guidance to data engineers, analysts, and BI developers across projects.
  • Lead design reviews and enforce architectural consistency across data initiatives and engineering teams.
  • Define and implement Fabric best practices for performance tuning, storage optimization, and cost governance.
  • Establish strong data security models, including RBAC, encryption, data masking, and secure access patterns.
  • Monitor Fabric platform health and proactively manage risks, ensuring high availability and operational resilience.

Candidate Profile:

  • 7+ years of experience in data architecture, data engineering, or analytics platform design.
  • Strong hands on experience with Microsoft Fabric and related Azure services.
  • Deep understanding of insurance data domains (policy, claims, underwriting, actuarial, billing).
  • Expertise in data modeling (dimensional, canonical, semantic models).
  • Strong knowledge of data governance, metadata management, and data quality practices.
  • Proficiency with SQL, Python, and modern data engineering frameworks.
  • Excellent communication and stakeholder management skills.
  • Experience with Microsoft Purview, Power BI, Databricks, or Azure Synapse.
  • Familiarity with modern data architecture concepts (data mesh, data fabric, Lakehouse).
  • Certifications such as Azure Data Engineer
  • Prior experience in P&C or Life insurance data modernization programs.
  • Able to work from client location at Madison, Wisconsin