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Remote Data Labeling Analyst Jobs in Illinois (NOW HIRING)

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 ...

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

We are seeking a full-time, remote Data Engineer III position. This role supports the continued ... Work independently with departmental leaders, business users, and analytics teams to define data ...

IT Data Engineer III - Remote

Lombard, IL · Remote

$112K - $135K/yr

We are seeking a full-time, remote Data Engineer III position. This role supports the continued ... Work independently with departmental leaders, business users, and analytics teams to define data ...

IT Data Engineer III - Remote

Lombard, IL · On-site +1

$115K - $140K/yr

We are seeking a full-time, remote Data Engineer III position. This role supports the continued ... Work independently with departmental leaders, business users, and analytics teams to define data ...

We are seeking a full-time, remote Data Engineer III position. This role supports the continued ... Work independently with departmental leaders, business users, and analytics teams to define data ...

Data Analyst

Chicago, IL · Remote

$54/hr

Remote * Hourly salary: $54 Projects they will be working on: * There are 3 areas they will be ... Analyzing the data * Putting the data together

This is a remote position with the expectation of availability between 10am-6pm ET. Successful Data Analysts at C&L will be able to efficiently and effectively deliver data reports that not only ...

This is a remote, flexible role for candidates who are analytical, commercially curious, and ... Analyze data, documents, websites, interviews, and public information to form concise ...

Data Analyst - Data Ops

Chicago, IL · On-site +1

$50K - $55K/yr

POSITION SUMMARY: The Data Analyst is responsible for delivering highly visible inbound and ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

Fully remote across the continental U.S., with a team that's warm and grounded and doesn't treat ... Analyze data anomalies, matching issues, and client/member record quality concerns. * Gather ...

Senior Data Analyst

Chicago, IL · On-site +1

$90K - $125K/yr

We're looking for an experienced Senior Data Analyst to help us design and execute on clinical ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

We are currently seeking a talented Lead Data Analyst to join us as we develop our data-driven ... Ability to work in a fully remote environment (must be based in the U.S. and willing to work in ...

Remote Duration: 6 months (can extend) Hours per week: 40 Pay: 45/hr Arsenault is seeking a ... Capacity Planners scope, analyze and forecast the infrastructure demand that powers our diverse set ...

Who You Are You are a curious, analytical thinker who believes data isn't just a collection of ... Hybrid and Remote work schedules available * Employee Assistance Program (unlimited free telephonic ...

Sales Data Analyst

Chicago, IL · Remote

$105K - $115K/hr

POSITION OVERVIEW World's Finest Chocolate is seeking a Sales Data Analyst to support our North ... Vice President of Strategy LOCATION This is a remote role. Travel to World's Finest Chocolate ...

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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?

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 Illinois?

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

Easy Recruiter

Chicago, IL • Remote

Full-time

Re-posted 8 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