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Remote Data Labeling Analyst Jobs in Wisconsin (NOW HIRING)

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Perform complex data analysis for Commercial Claims aligned to business and portfolio objectives ... We embrace a remote-first culture through our Flexible Workplace. Most employees hold Home-Flex ...

Strong analytical ability for managing data, forecasting budget impacts and interpreting contract terms of use. Remote Work Requirements * High speed cable or fiber * Minimum of 10 Mbps downstream ...

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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:
Research Analyst

Research Analyst

Medical College of Wisconsin

Madison, WI • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 24 days ago


Medical College Of Wisconsin rating

7.7

Company rating: 7.7 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

228th of 555 rated colleges and universities


Job description

Summary

Work independently, under the general direction of the Program Director or designee and the Research and Policy Director at the Wisconsin Department of Corrections (DOC) to support the data and statistical analysis needs related to reentry work at the DOC. This work will support research and analytical efforts related to community reentry from incarceration, but also other DOC-related initiatives. Collaborate on study design; data collection, management, analysis and visualization; interpretation of results; preparation of data summaries and reports; and publication and dissemination of analytical products and research findings. Investigate, troubleshoot, and resolve data or analysis related issues. Work as part of a multi-disciplinary project team with both MCW and DOC.

Location:

2 days on-site at Wisconsin Department of Corrections Office in Madison, WI (Tuesdays and Wednesdays); 3 remote days, which can be worked from home or from MCW's ThriveOn King location in Milwaukee, WI.

Work Eligibility:

This position is not eligible for visa sponsorship. Candidates must be authorized to work in the United States without the need for current or future employer-sponsored work authorization, including F-1 visa holders requiring CPT, OPT, or future H-1B sponsorship.

Primary Responsibilities
  • Utilize specialized computer hardware and analytic software to collect, quality check, manage, analyze, visualize, and disseminate data.

  • Develop, implement, maintain, and utilize comprehensive databases and files related to programs/projects, ensure data security.

  • Report results of statistical analyses through data visualizations including graphs, charts, tables, maps, and dashboards.

  • Prepare or collaborate on written or analytical reports and effectively communicate data, findings, results, and recommendations to a variety of audiences such as executive managers, policy makers, practitioners, researchers, and community members.

  • Ensure that all data, reports, presentations and other materials are produced with the highest standards for clarity, accuracy, and methodology.

  • Contribute to the development of program materials including documentation, educational materials, marketing materials, websites, forms, standard operating procedures, and reports.

  • Participate in and present at multidisciplinary meetings with a variety of partner agencies to collaboratively identify recommendations for potential system changes or improvements.

  • Assist in the development, tracking, and implementation of prevention/intervention strategies with partners.

  • Ensure program data and progress are reported to program stakeholders and as required by various granting agencies.

  • Review data for consistency, accuracy and quality; develop and execute programs to perform consistency checks; document and resolve data inconsistencies; develop and maintain data documentation.

  • Collaborate with researchers in designing studies and writing grant and research proposals, including analyzing proposed studies to determine feasibility and propose appropriate analytical approaches.

  • Assist in the preparation of analytic or research materials for publication to stakeholders and for submission of manuscripts to scientific journals and presentations at scientific conferences and in public venues.

  • Participate on appropriate committees relevant to the advancement of the programs, the profession, or area of research.

Knowledge - Skills - Abilities
  • Knowledge of data collection and data validation principles and experience manipulating, analyzing, and reporting on a variety of datasets
  • Knowledge of analytical techniques, statistics, databases, data security, data documentation
  • Desired Knowledge: Knowledge of governmental policies, public health, criminal justice system, substance misuse, and current or emerging issues in these areas
  • Ability to synthesize data and information and present research findings and recommendations to support policy and recommendation development, or data-driven decision making
  • Ability to effectively present or communicate information both verbally and in writing to a variety of audiences, such as agency leadership, policy makers, researchers, practitioners, and community groups
  • Ability to work effectively with people from various backgrounds and to demonstrate cultural awareness
  • Ability to work independently, make complex decisions, and request direction as needed
  • Ability to prioritize competing requests and demands for time and resources, manage multiple tasks and meet established goals and deadlines
  • Ability to develop positive and effective working relationships with colleagues, internal and external partners and establish trust
  • Skills in critical thinking, problem-solving, and troubleshooting
  • Skills in manipulating complex databases and undertaking statistical analyses
  • Skills in conceptualization, design, composition and production of complex data visualizations to clearly communicate analytic findings
  • Skills in developing deliverables for executives, program managers and policy makers, including demonstrated experience in publishing written research or evaluation reports
  • Skill in utilizing a variety of standard software packages such as Microsoft Word, Excel, and PowerPoint
  • Skill in utilizing and learning specialized software for data access, management, visualization, and analysis such as Stata, SAS, SPSS, R/R Studio, ESRI ArcGIS/ArcMap, Tableau/Power BI, SQL, Python, JavaScript, etc.
Qualifications

Appropriate experience may be substituted for education on an equivalent basis.

Minimum Required Education: Master's degree in social sciences, statistics, criminal justice, public health, or a related field

Minimum Required Experience: 1 year of experience working with data or analytics

Preferred Experience: 3 years of experience working with data or analytics

#LI-FL1

Physical Requirements

Work requires occasionally lifting moderate weight materials, standing, or walking continuously.

Work Environment

Occasional exposure to dust, noise, temperature changes, or contact with water or other liquids. Work is performed in an environmentally controlled environment.

Sensory Acuity

Ability to detect and translate speech or other communication required. May occasionally require the ability to distinguish colors and perceive relative distances between objects.


Why MCW?
  • Outstanding Healthcare Coverage, including but not limited to Health, Vision, and Dental. Along with Flexible Spending options
  • 403B Retirement Package
  • Competitive Vacation and Paid Holidays offered
  • Tuition Reimbursement
  • Paid Parental Leave
  • Employee & Family Assistance Program (EFAP)
  • Pet Insurance
  • On campus Fitness Facility, offering onsite classes
  • Additional discounted rates on items such as: Select cell phone plans, local fitness facilities, Milwaukee recreation and entertainment etc.

For a brief overview of our benefits see: Benefits Overview


For a full list of positions see: MCW Careers

At MCW all of our endeavors, from our internal operations to our interactions with our partners, are driven by our shared organizational values: Caring - Collaborative - Curiosity - Inclusive - Integrity - Respect. We are committed to fostering an inclusive environment that values diversity in backgrounds, experiences, and perspectives through merit-based processes and in alignment with all applicable laws. We believe that embracing human differences is critical to realize our vision of a healthier world, and we recognize that a healthy and thriving community starts from within. Our values define who we are, what we stand for and how we conduct ourselves at MCW. If you believe in embracing individuality and working together according to these principles to improve health for all, then MCW is the place for you. For more information, please visit our institutional website.


MCW as an Equal Opportunity Employer and Commitment to Non-Discrimination:

The Medical College of Wisconsin (MCW) is an Equal Opportunity Employer. We are committed to fostering an inclusive community of outstanding faculty, staff, and students, as well as ensuring equal educational opportunity, employment, and access to services, programs, and activities, without regard to an individual's race, color, national origin, religion, age, disability, sex, gender identity/expression, sexual orientation, marital status, pregnancy, predisposing genetic characteristic, or military status. Employees, students, applicants or other members of the MCW community (including but not limited to vendors, visitors, and guests) may not be subjected to harassment that is prohibited by law or treated adversely or retaliated against based upon a protected characteristic.



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About Medical College of Wisconsin

Sourced by ZipRecruiter

The Medical College of Wisconsin (MCW) is an industry-leading educational institution located in Milwaukee, WI, US. Being part of the medical and health services sector, MCW's primary mission is to educate and train the next generation of healthcare professionals. MCW offers a wide array of degrees and programs within medical and health sciences, covering everything from medical, graduate, pharmacy and health sciences studies, to continuing professional developments and community engagement initiatives. Founded in 1893, MCW boasts a rich, well-entrenched history in shaping the medical education landscape locally and globally. The institution's core values of knowledge-changing life underline its dedication to incorporating innovative approaches in education and research, commitment to diversity and inclusion, service to the community, integrity, stewardship, and collaboration.

Industry

Health care and social assistance

Company size

5,001 - 10,000 Employees

Headquarters location

Milwaukee, WI, US

Year founded

1893

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