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Senior Data Annotation Analyst Jobs in Wisconsin

Senior Data Analyst

Milwaukee, WI ยท Hybrid

$84K - $106K/yr

Title : Sr Data Analyst Location : Milwaukee, WI Type : Hybrid (3 days onsite per week) Duration : ASAP - May 2025 Perks : Competitive Rates, Benefits, Free Daily Lunch When Onsite Role Summary This ...

WI ยท On-site

$140 - $190/hr

They will be expected to gather and analyze data from multiple structured and unstructured data ... detection, annotation strategy and dataset creation, and evaluation of extraction quality.

New

Senior Data Analyst

Germantown, WI ยท On-site

$87K - $110K/yr

Role OverviewThe Senior Data Analyst is a trusted analytical partner who leads complex analyses, develops insights that influence decision-making, and mentors junior analysts. This role bridges data ...

WI ยท On-site

$90 - $110/hr

Job Location : 8115 Preston Rd., Suite 400, Dallas, TX 75225 Rate of Pay: $100,000 per year Sr. Data Analyst needed by Welltower, Inc. in Dallas, TX to collect operator data including all financial ...

Senior Data Analyst

Oak Creek, WI

$82K - $103K/yr

The Senior Data Analyst will transform complex data into actionable insights that drive sales, product growth, and marketing strategy and operates within the Bank to ensure alignment with executive ...

Senior Data Analyst

Oak Creek, WI ยท On-site

$82K - $103K/yr

The Senior Data Analyst will transform complex data into actionable insights that drive sales, product growth, and marketing strategy and operates within the Bank to ensure alignment with executive ...

Senior Data Analyst

Oak Creek, WI ยท On-site

$95 - $130/hr

The Senior Data Analyst will transform complex data into actionable insights that drive sales, product growth, and marketing strategy and operates within the Bank to ensure alignment with executive ...

Senior Data Analyst

Oak Creek, WI ยท On-site

$82K - $103K/yr

The Senior Data Analyst will transform complex data into actionable insights that drive sales, product growth, and marketing strategy and operates within the Bank to ensure alignment with executive ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

WI ยท On-site

$80 - $120/hr

* Develop SQL queries and dbt models to transform engineering and operational data into trusted, analysis-ready data models * Build and maintain self-service dashboards and reports that put engineering ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Perform AI/ML-related tasks such as data labeling, annotation, and content evaluation * Participate ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

ATI is seeking to hire a Sr Data Scientist to support business unit-wide data analytics initiatives. This position will be based in Cudahy, WI. As a Sr Data Scientist your work may be focused in a ...

The Senior Data Scientist will support clinical correlation data modeling, which includes working ... Establish robust, reproducible, and maintainable analytical pipelines, models, and tools suitable ...

The Senior Data Scientist will support clinical correlation data modeling, which includes working ... Establish robust, reproducible, and maintainable analytical pipelines, models, and tools suitable ...

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Showing results 1-20

Senior Data Annotation Analyst information

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.

Does data annotation actually pay well?

Data annotation analysts typically earn hourly wages that are close to minimum wage or slightly above, with pay varying based on experience, location, and the complexity of tasks. While some roles offer higher pay for specialized skills or certifications, overall compensation is generally modest compared to other tech roles.

Is data annotation still hiring?

Data annotation roles, including senior positions, are actively hiring as companies expand their AI and machine learning projects. These jobs often require attention to detail and familiarity with annotation tools, and they are available in both remote and on-site formats. Demand remains steady due to ongoing growth in AI data needs.

What does a senior data annotation analyst do?

A senior data annotation analyst is responsible for reviewing, labeling, and validating data to ensure accuracy for machine learning models. They often use annotation tools and may oversee junior team members, ensuring data quality and consistency in projects involving image, text, or video data.

What are the most commonly searched types of Data Annotation Analyst jobs in Wisconsin?

The most popular types of Data Annotation Analyst jobs in Wisconsin are:

What cities in Wisconsin are hiring for Senior Data Annotation Analyst jobs?

Cities in Wisconsin with the most Senior Data Annotation Analyst job openings:

Senior Data Analyst

TIER4 GROUP

Milwaukee, WI โ€ข Hybrid

$84K - $106K/yr

Full-time

Re-posted 17 days ago


Job description

Title: Sr Data Analyst

Location: Milwaukee, WI

Type: Hybrid (3 days onsite per week)

Duration: ASAP - May 2025

Perks: Competitive Rates, Benefits, Free Daily Lunch When Onsite


Role Summary

This Sr. Data Analyst role involves serving as a data scientist supporting marketing efforts for our Fortune 500 client. The role focuses on analyzing campaigns, understanding business processes, and distributing insights via dashboards. You will collect, validate, and deeply analyze data to uncover insights that drive marketing decisions, ensuring alignment with key objectives and results (OKRs). This is not a traditional BI role but one that requires critical thinking, asking the right questions, and leveraging data to move marketing initiatives forward.


Key Responsibilities

  • Develop and deliver user-friendly dashboards and reports to provide actionable insights and recommendations.
  • Perform data collection, QA checks, and in-depth analysis to understand and improve marketing campaigns and business processes.
  • Ask insightful questions to uncover underlying data trends and inform strategic marketing decisions.
  • Conduct campaign and business analysis, using data to identify opportunities and drive forward marketing objectives.
  • Partner with stakeholders to translate findings into meaningful strategies and plans.


Technical Skills and Requirements

  • Proficiency in Excel, SQL, R, Python, and familiarity with BI tools like Tableau or PowerBI.
  • Strong data collection, quality assurance, and analytical skills to ensure accurate and reliable insights.
  • Proven experience conducting deep data dives to support decision-making.
  • Ability to grasp and analyze complex business processes and campaign performance.


Must-Haves

  • Expertise in research and data analysis with a proven track record of delivering actionable insights.
  • Ability to systematically gather, evaluate, and interpret data to uncover patterns and trends.
  • Strong communication skills to present findings effectively to stakeholders.
  • A results-driven mindset, with the ability to manage multiple priorities and meet deadlines.


Ideal Candidate Traits

  • A proactive approach to problem-solving, with curiosity and creativity to explore beyond routine tasks.
  • Experience in marketing-focused analysis, including campaign performance evaluation.
  • A collaborative and inclusive attitude, with a willingness to mentor and share insights with peers.


This role offers an exciting opportunity to blend data science with marketing strategy, driving impactful decisions and contributing to organizational success.