1

Senior Data Annotation Analyst Jobs in Madison, WI

The Senior Pricing Analyst will report to the Associate Director of Strategic Pricing and will ... Collaborate with cross-functional teams to gather data and insights relative to strategic pricing ...

The Senior Pricing Analyst will report to the Associate Director of Strategic Pricing and will ... Collaborate with cross-functional teams to gather data and insights relative to strategic pricing ...

Senior Analyst, Analytics

Madison, WI · On-site

$88K - $117K/yr

Communicate the analytics and/or data plan and insights with expert storytelling ability. * Define and size business opportunities/problem that can solved through analytics and/or data. Assess and ...

Senior Analyst, Analytics

Madison, WI · On-site

$88K - $117K/yr

Communicate the analytics and/or data plan and insights with expert storytelling ability. * Define and size business opportunities/problem that can solved through analytics and/or data. Assess and ...

Senior Quality Analyst

Madison, WI · Remote

$66K - $83K/yr

As a Senior Quality Analyst , you'll play a critical role in protecting operational excellence ... Advanced skills in data querying tools such as BusinessObjects and modeling tools such as MS Visio.

Senior Quality Analyst

Madison, WI · On-site

$66K - $83K/yr

As a Senior Quality Analyst , you'll play a critical role in protecting operational excellence ... Advanced skills in data querying tools such as BusinessObjects and modeling tools such as MS Visio.

Showing results 21-40

Senior Data Annotation Analyst information

See Madison, WI salary details

$55.4K

$100K

$136.5K

How much do senior data annotation analyst jobs pay per year?

As of Aug 10, 2026, the average yearly pay for senior data annotation analyst in Madison, WI is $99,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,700.00 and $109,300.00 per year, depending on experience, location, and employer.

What is a senior data annotation analyst?

Senior Data Annotation Analysts are experienced professionals who oversee the process of labeling and tagging data, such as text, images, or audio, to train machine learning models. They are responsible for ensuring high-quality annotations, developing guidelines, and often mentoring junior annotators. Their work is crucial for the success of AI and machine learning projects, as accurate data annotation directly impacts model performance. Senior analysts also collaborate with data scientists and engineers to refine annotation processes and improve data quality.

What are the key skills and qualifications needed to thrive as a senior data annotation analyst?

To thrive as a Senior Data Annotation Analyst, you need expertise in data labeling, analytical thinking, and a strong understanding of machine learning concepts, often supported by a relevant degree or significant experience in data operations. Familiarity with annotation platforms (like Labelbox or Supervisely), data management tools, and quality assurance processes is typically required. Attention to detail, problem-solving, and the ability to communicate feedback effectively are crucial soft skills for this role. These competencies ensure high-quality data sets that drive accurate machine learning models and improve project outcomes.

How does a senior data annotation analyst typically collaborate with machine learning engineers and data scientists?

As a Senior Data Annotation Analyst, you will often work closely with machine learning engineers and data scientists to ensure that labeled data meets project requirements and quality standards. You may participate in meetings to discuss annotation guidelines, clarify ambiguous cases, and provide feedback on data challenges that arise. Your expertise in annotation tools and processes helps streamline workflows and ensures that the annotated datasets are reliable, which is critical for model training and evaluation. Collaboration is key, and you'll be expected to communicate effectively across teams to address issues and continuously improve the data pipeline.

What is the difference between Senior Data Annotation Analyst vs Data Annotation Specialist?

AspectSenior Data Annotation AnalystData Annotation Specialist
CredentialsBachelor's degree in related field, experience in data annotationHigh school diploma or equivalent, entry-level experience
Work EnvironmentCollaborative teams, project management, quality assuranceIndividual tasks, data labeling, basic quality checks
Industry UsageTech, AI, machine learning companiesAI startups, data labeling firms, research projects

The Senior Data Annotation Analyst typically has more experience, handles complex annotation projects, and oversees quality control, whereas the Data Annotation Specialist focuses on basic labeling tasks. Both roles are essential in AI data preparation, but the senior analyst often leads projects and ensures standards are met.

What cities near Madison, WI are hiring for Senior Data Annotation Analyst jobs? Cities near Madison, WI with the most Senior Data Annotation Analyst job openings:

Full-time

Medical, Dental, Vision, Retirement

Posted 24 days ago


CliftonLarsonAllen rating

6.7

Company rating: 6.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

20th of 22 rated bookkeepers and accountants


Job description

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is growing and seeking to hire an experienced Senior Data Platform Architect to join our talented Information Technology team. The position offers growth, flexibility and a collaborative work environment.

This role is responsible for guiding platform architecture and engineering practices across one or more platform domains (e.g., cloud foundation, container platforms, integration, data platforms, developer experience). This role leads a small team of platform architects, sets technical direction, establishes enterprise platform standards, and partners with Cloud Architecture, DevOps, and engineering leaders to define platform strategies, automation frameworks, and CI/CD deployment patterns that enable secure, scalable, and reliable software delivery across the organization

How you'll create opportunities in this Senior Data Platform Architect role:

Platform Architecture & Strategy
  • Define and evolve platform reference architectures, standards, guardrails, and deployment patterns that enable engineering teams to deliver software safely, consistently, and efficiently.
  • Establish target-state platform roadmaps aligned to business strategy, cloud strategy, security requirements, and technical debt reduction.
  • Partner with Cloud Architecture leaders to align platform capabilities, cloud services, and infrastructure standards with enterprise architecture objectives.
  • Evaluate technology options and make architecture recommendations balancing cost, risk, scalability, maintainability, and operational effectiveness.
Engineering Leadership & Delivery
  • Lead architecture and design reviews for complex platform initiatives and provide technical leadership across multiple engineering teams.
  • Define enterprise CI/CD architecture standards, deployment patterns, automation frameworks, and software delivery guardrails.
  • Partner with DevOps leaders to establish and continuously improve build, release, deployment, and environment management practices across the technology organization.
  • Ensure platform solutions meet non-functional requirements including availability, performance, resilience, security, compliance, and operability.
  • Drive adoption of platform capabilities through reference implementations, reusable patterns, technical guidance, and governance.
Leadership
  • Provide day-to-day leadership through coaching, mentoring, development, and performance management.
  • Support hiring, onboarding, workforce planning, and technical skill development.
Governance, Risk & Reliability
  • Promote secure-by-design and compliance-by-default architectural patterns.
  • Establish governance processes that ensure platform solutions adhere to architectural standards, operational requirements, and risk management practices.
  • Own or co-own platform reliability practices, including SLOs, SLIs, incident reviews, root-cause analysis, and continuous reliability improvements.
  • Define platform lifecycle management, including versioning, deprecation strategies, change management, and adoption planning.
Stakeholder Partnership & Communication
  • Translate complex technical topics into clear decisions and tradeoffs for technical and non-technical stakeholders.
  • Partner with Cloud Architecture, DevOps, Security, Infrastructure, Network, Data, and Application teams to ensure end-to-end solution integrity and alignment.
  • Create and maintain architecture artifacts including reference architectures, diagrams, ADRs, deployment standards, and decision logs.

Experience

6 years relevant experience required.

  • Experience in platform engineering, cloud architecture, SRE, or infrastructure engineering preferred.
  • Supervisory experience preferred.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

  • Degree in Information Management, Computer Science, or a related field preferred.

Technical Competencies

  • Expert knowledge of enterprise platform architecture, platform engineering principles, and large-scale technology ecosystems.
  • Advanced knowledge of cloud architecture and cloud-native technologies across Azure, AWS, and/or Google Cloud Platform environments.
  • Expertise establishing platform standards, governance frameworks, reference architectures, and technology roadmaps.
  • Experience defining enterprise CI/CD strategies, deployment patterns, release automation frameworks, and DevOps operating models.
  • Advanced understanding of Infrastructure as Code (IaC), platform automation, and environment provisioning technologies.
  • Deep knowledge of Site Reliability Engineering (SRE), observability, monitoring, logging, performance engineering, and operational excellence practices.
  • Advanced understanding of security architecture, identity and access management, secrets management, vulnerability management, and secure software delivery practices.
  • Experience leading architecture reviews and governing technology decisions across multiple products, platforms, or teams.
  • Expertise communicating architectural vision and technical strategy to executive, business, and technical stakeholders.

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
Click here to learn about your hiring rights.


Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.



What CliftonLarsonAllen employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


CliftonLarsonAllen logo

About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012