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Remote Data Labeling Analyst Jobs in Wisconsin (NOW HIRING)

Rural Mutual Insurance

Data Analyst

Madison, WI · Remote

We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ... This is a remote position. * Candidates must live and work in Wisconsin. * Requires eligibility to ...

Rural Mutual Insurance

Data Analyst

Madison, WI · Remote

$100K - $115K/yr

We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ... This is a remote position. * Candidates must live and work in Wisconsin. * Requires eligibility to ...

Rural Mutual Insurance

Data Analyst

Madison, WI · Remote

$100K - $115K/yr

We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting ... This is a remote position. * Candidate must live and work in Wisconsin. * Requires eligibility to ...

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Remote Data Labeling Analyst information

What are the key skills and qualifications needed to thrive as a Remote Data Labeling Analyst, and why are they important?

To thrive as a Remote Data Labeling Analyst, you need strong attention to detail, analytical thinking, and basic data management skills, typically supported by a high school diploma or higher. Familiarity with annotation tools, data labeling platforms, and sometimes basic programming or spreadsheet software is required. Strong communication, time management, and the ability to work independently are crucial soft skills for excelling remotely. These abilities ensure high-quality, accurate data labeling that directly impacts the effectiveness of AI and machine learning systems.

What are some common challenges faced by Remote Data Labeling Analysts, and how can they be addressed?

Remote Data Labeling Analysts often encounter challenges such as maintaining focus during repetitive tasks, managing time effectively across multiple projects, and ensuring high accuracy in labeling complex data sets. To address these challenges, it is helpful to follow structured workflows, take regular breaks to reduce fatigue, and leverage collaboration tools to communicate with team members for clarification or feedback. Staying updated with labeling guidelines and participating in regular training sessions can also help improve both productivity and quality of work.

What does a Remote Data Labeling Analyst do?

A Remote Data Labeling Analyst is responsible for reviewing, tagging, and annotating data—such as images, videos, text, or audio—to help train machine learning models. Working remotely, they use specialized software to classify or categorize this data according to specific guidelines. Their work is crucial for improving the accuracy and performance of artificial intelligence systems, as well-labeled data enables the AI to learn and make better predictions. This role typically requires attention to detail, consistency, and the ability to follow complex instructions.

What is the difference between Remote Data Labeling Analyst vs Remote Data Annotator?

AspectRemote Data Labeling AnalystRemote Data Annotator
CredentialsBasic data labeling skills, familiarity with annotation toolsSimilar credentials, often entry-level
Work EnvironmentRemote, often part of a data teamRemote, typically individual tasks
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI training data preparation
Job FocusLabeling and categorizing data for machine learningAnnotating data with labels or tags

The Remote Data Labeling Analyst and Remote Data Annotator roles are similar, both involving data labeling tasks in a remote setting. The Analyst may have additional responsibilities like quality checks or data management, but both positions require similar skills and are used widely in AI and machine learning industries.

What are the most commonly searched types of Data Labeling Analyst jobs in Wisconsin? The most popular types of Data Labeling Analyst jobs in Wisconsin are:
What are popular job titles related to Remote Data Labeling Analyst jobs in Wisconsin? For Remote Data Labeling Analyst jobs in Wisconsin, the most frequently searched job titles are:
What job categories do people searching Remote Data Labeling Analyst jobs in Wisconsin look for? The top searched job categories for Remote Data Labeling Analyst jobs in Wisconsin are:
What cities in Wisconsin are hiring for Remote Data Labeling Analyst jobs? Cities in Wisconsin with the most Remote Data Labeling Analyst job openings:
Remote Data Labeling Analyst jobs near you
Data Analyst

Data Analyst

Rural Mutual Insurance

Madison, WI • Remote

Full-time

Medical, Dental, Vision, Retirement

Posted 11 days ago

Job description

Description
Rural Mutual Insurance, one of the top 50 property and casualty companies in the nation, has been protecting what we value in Wisconsin for over 90 years and proudly continues that mission today. We seek a Data Analyst to play a key role in delivering high-impact analytics and reporting solutions to drive sound business decision-making. This position requires deep expertise in Power BI, data modeling, and stakeholder engagement, along with the ability to contribute to broader data architecture and engineering initiatives.
  • This is a remote position.
  • Candidates must live and work in Wisconsin.
  • Requires eligibility to work in the United States without sponsorship.

At Rural Mutual Insurance, we offer a supportive work environment, career growth opportunities, and a comprehensive compensation package that includes health, dental, and vision insurance, a matching 401(k), and generous time off. We've earned consistent recognition as a Madison Magazine Best Places to Work, and an A+ AM Best financial strength rating. If you're ready to be part of a team that values your expertise and encourages your professional growth, apply today!
Responsibilities
• Develop and maintain high-quality reports and dashboards using Microsoft Power BI
• Gather and analyze technical requirements from stakeholders across the organization
• Develop and maintain data models to support analytics, reporting, and self-service BI
• Provide ongoing administration, tuning, and support for Power BI and related tools
• Establish and promote standards for report design, data modeling, and data visualization
• Collaborate with cross-functional teams to ensure data integrity, quality, and alignment across systems and reporting solutions
• Analyze complex datasets to identify trends, risks, and opportunities, delivering actionable insights to business leaders
• Support and influence data governance, documentation, and data quality initiatives
• Contribute to the design and evolution of data architecture, including data transformations and pipeline development using tools such as dbt or similar frameworks
• Mentor and guide less experienced analysts, fostering best practices in BI development and data modeling
• Stay current with emerging trends and technologies in business intelligence, data engineering, and analytics
Qualifications
• Bachelor's Degree in Computer Science, Information Technology, or related field, or an equivalent combination of education and experience
• 5+ years of relevant data analyst experience
• Advanced experience building scalable, insight-driven dashboards and reports using Microsoft Power BI or similar business intelligence tools, including performance optimization and troubleshooting
• Strong understanding of data visualization best practices, including user experience (UX) design and storytelling with data
• Experience developing and maintaining standards for report design, performance, and usability
• Solid knowledge of data modeling techniques, including dimensional modeling and semantic layer design
• Strong analytical skills with the ability to interpret complex datasets and translate findings into actionable insights
• Proficiency in SQL for data extraction, transformation, and analysis.
• Working knowledge of data warehousing concepts, including ETL/ELT processes, data pipelines, and layered data architectures.
• Experience with data transformation tools (e.g., dbt)
• Familiarity with cloud-based data platforms (e.g., Azure, AWS, Snowflake)
• Understanding of version control tools (e.g., Git) and collaborative development practices is a plus
• Candidate must live and work in Wisconsin
• Eligible to work in the United States without sponsorship

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