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Remote Data Labeling Analyst Jobs in Illinois (NOW HIRING)

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Remote Data Analyst

Chicago, IL · Remote

As a Data Analyst, you will be responsible assisting with resolution of consumer/commercial card and loan bank wide issues. You will be identifying impacted accounts based on requirements. As a Data ...

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Remote Data Labeling Analyst information

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 are the key skills and qualifications needed to thrive as a remote data labeling analyst?

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 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 Illinois?

The most popular types of Data Labeling Analyst jobs in Illinois are:

What are popular job titles related to Remote Data Labeling Analyst jobs in Illinois?

For Remote Data Labeling Analyst jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Remote Data Labeling Analyst jobs in Illinois look for?

The top searched job categories for Remote Data Labeling Analyst jobs in Illinois are:

What cities in Illinois are hiring for Remote Data Labeling Analyst jobs?

Cities in Illinois with the most Remote Data Labeling Analyst job openings:

Remote Data Labeling Analyst jobs near you

Remote Data Analyst

Easy Recruiter

Chicago, IL • Remote

Full-time

Re-posted 14 days ago

Job description

As a Data Analyst, you will be responsible assisting with resolution of consumer/commercial card and loan bank wide issues. You will be identifying impacted accounts based on requirements. As a Data Analyst you will validate lists and apply remediation treatment on impacted accounts. This is an exciting opportunity to show your commitment, passion and enthusiasm for the role.

What will you be doing?

  • Utilizing SAS or another type of software that can be used to query bank databases to identify accounts impacted by opened incidents
  • Accurately identify accounts as defined by business requirements
  • Ensuring validation of files is completed, and assist in making changes as needed if requirements change and/or issues are identified
  • Apply remediation of accounts utilizing a variety of tools including TSYS Reflection scripts, and the creation of batch update files
  • Providing oversight to junior SAS resources, providing direction, coaching, and skill set enhancements
  • Driving delivery of remediation efforts to complete within defined timelines ensuring accuracy and speed to delivery

What were looking for:

  • Bachelor's degree in an analytical / statistical discipline required (e.g. Statistics, Economics, Mathematics, Finance, Operations Research or related quantitative)
  • Significant years of analytical experience
  • Ability to work independently and in a team environment with multiple internal and external stakeholders
  • Excellent understanding of SAS and Excel

Skills that will help you in the role:

  • Knowledge working with TSYS and FDR
  • Proven ability to self-manage and multi-task in a dynamic, ever-changing environment

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