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Remote Data Labeling Analyst Jobs in Wisconsin (NOW HIRING)

WPS Health Solutions

Data Analyst

Madison, WI · On-site +1

The Data Analyst is responsible for collecting, processing and analyzing data to provide actionable ... We are open to remote work in the following approved states: Colorado, Florida, Georgia, Illinois ...

WPS

Data Analyst

Madison, WI · On-site +1

The Data Analyst is responsible for collecting, processing and analyzing data to provide actionable ... We are open to remote work in the following approved states: Colorado, Florida, Georgia, Illinois ...

Connexus Credit Union

Data Analyst

Wausau, WI · Remote

We are a remote first employer with the majority of our employees residing in the upper Midwest. As ... We are searching for a Data Analyst to join our Data & Insights team with a strong focus on ...

DataAnnotation

$60/hr

A cutting-edge AI development firm is seeking quantitative professionals to evaluate AI-generated quantitative analysis and provide feedback for model improvement. This remote position offers a ...

DataAnnotation

$40/hr

A pioneering AI development firm is seeking experienced quantitative professionals to evaluate AI-generated analyses and provide technical feedback. The role offers fully remote work flexibility and ...

DataAnnotation

$40/hr

The role offers the flexibility of remote work, with competitive pay starting at $40+ per hour and ... Join us in shaping the future of AI systems that reason about data and analytics. #J-18808-Ljbffr

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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:
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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
Remote Data Science Consultant & AI Trainer

Remote Data Science Consultant & AI Trainer

DataAnnotation

Madison, WI • Remote

$40/hr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

A pioneering AI development company is seeking experienced quantitative professionals for a remote role evaluating AI-generated analytics and solving technical challenges. Candidates with 2+ years in data science, statistics, or a related field are preferred. This position offers flexibility and hourly pay starting at $40+.

Join us to impact the future of AI systems while working from anywhere in the US, Canada, UK, Ireland, Australia, or New Zealand. #J-18808-Ljbffr

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