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Data Annotation Tech Remote Jobs in Illinois (NOW HIRING)

Data Analyst

Chicago, IL ยท On-site +1

$80K/yr

Data & Automation | Remote / Hybrid | Full-Time - $80,000 base + 5-8% performance bonus The Role ... It's a critical role - the accuracy of this work directly impacts deal timelines and client ...

Data Analyst - Data Ops

Chicago, IL ยท On-site +1

$55K - $60K/yr

Technology platforms for project delivery: QicLink (system or record), new data integrations tools ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

Data Analyst - Data Ops

Chicago, IL ยท On-site +1

$50K - $55K/yr

Technology platforms for project delivery: QicLink (system or record), new data integrations tools ... Remote Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly ...

AI Data Engineer

Buffalo Grove, IL ยท Remote

$117K - $141K/yr

AI Data Engineer Location: 100% Remote (Continental United States) Position Type: In-house Bright Vision Technologies SOW engagement (no third-party client or vendor) Experience: 6+ years Salary ...

AI Data Engineer

Skokie, IL ยท Remote

$100K - $150K/yr

AI Data Engineer - Remote Bright Vision Technologies is a technology consulting and software development company delivering cloud, AI, data, and enterprise solutions across the United States. This is ...

Data Security Consultant

Chicago, IL ยท On-site +1

$130K - $150K/yr

You'll work closely with technology teams, risk management, compliance, legal, data owners, and ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Data Security Consultant

Chicago, IL ยท On-site +1

$130K - $150K/yr

You'll work closely with technology teams, risk management, compliance, legal, data owners, and ... remote (if non-local) or hybrid work arrangement where you'll spend 2 days per week on-site in ...

Data Architect

Chicago, IL ยท On-site +1

$65.75 - $84.50/hr

... this remote opportunity. Job Requirements: Education Bachelor's or Master's degree in Information Technology, Computer Science, Data Science, Information Systems, or a related technical field ...

Location(s) Chicago, Illinois, Downers Grove, Illinois, Remote-AL, Remote-CT, Remote-FL, Remote-GA ... The ideal candidate combines deep expertise in modern data engineering technologies with strong ...

Location(s) Chicago, Illinois, Downers Grove, Illinois, Remote-AL, Remote-CT, Remote-FL, Remote-GA ... The ideal candidate combines deep expertise in modern data engineering technologies with strong ...

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Data Annotation Tech Remote information

What is the difference between Data Annotation Tech Remote vs Data Labeling Specialist?

AspectData Annotation Tech RemoteData Labeling Specialist
CredentialsBasic technical skills, sometimes certifications in data annotation toolsSimilar credentials, often with experience in labeling software
Work EnvironmentRemote, often freelance or contract-basedRemote or on-site, depending on employer
Industry UsageUsed across AI, machine learning, and data science companiesCommon in AI, autonomous vehicles, and tech firms

Both roles involve labeling data for machine learning models, with similar credentials and remote work options. The main difference lies in job titles used by employers, but their responsibilities and industry applications overlap significantly.

What are Data Annotation Tech Remote jobs?

Data Annotation Tech Remote jobs involve working from home or another remote location to label, tag, or classify data such as text, images, audio, or video. This work is essential for training and improving artificial intelligence and machine learning models. Data annotators use specialized software tools to accurately identify and categorize data according to specific guidelines provided by employers. These roles require attention to detail, consistency, and sometimes subject-matter expertise, depending on the project. Remote data annotation jobs are popular because they often offer flexible schedules and the ability to work from anywhere.

What are some common challenges faced by remote Data Annotation Technicians, and how can they be addressed?

Remote Data Annotation Technicians often encounter challenges such as maintaining consistent annotation quality, managing repetitive tasks, and ensuring clear communication with team leads or project managers. To address these, it's helpful to establish a structured daily routine, use collaboration tools to stay connected with the team, and regularly review project guidelines to ensure accuracy. Many organizations also provide feedback loops and quality assurance checks, so being proactive in seeking feedback can help improve performance and job satisfaction.

What are the key skills and qualifications needed to thrive as a Data Annotation Tech (Remote), and why are they important?

To excel as a Data Annotation Tech (Remote), you need attention to detail, basic computer literacy, and familiarity with data labeling practices, often supported by a high school diploma or equivalent. Proficiency with annotation tools such as Labelbox, Supervisely, or proprietary platforms is typically required, and training in data privacy or quality assurance may be beneficial. Strong communication, time management, and the ability to focus independently are standout soft skills for this remote role. These competencies are crucial to ensure accurate, high-quality data labeling that directly impacts the effectiveness of AI and machine learning models.
What cities in Illinois are hiring for Data Annotation Tech Remote jobs? Cities in Illinois with the most Data Annotation Tech Remote job openings:
Infographic showing various Data Annotation Tech Remote job openings in Illinois as of July 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 33% In-person, and 67% Remote job distribution.

Data Analyst

HOA Talent

Chicago, IL โ€ข On-site, Remote

$80K/yr

Full-time

Medical, Dental, Vision, Retirement

This job post hasย expired today.ย Applications are no longer accepted.


Job description

About The CAM Collective

The CAM Collective (TCC) is a specialized advisory and operations firm focused on community association management (CAM) transitions. We work with sellers, buyers, and management companies to ensure seamless, data-driven deal closings across a growing national portfolio. Our team moves fast, operates with precision, and is building the infrastructure to scale.

Data & Automation | Remote / Hybrid | Full-Time - $80,000 base + 5-8% performance bonus

The Role

This Data Analyst is the hands-on executor of data mapping, extraction, validation, and quality assurance across all active deals, reporting directly to the Sr. Data Integration & Automation Manager. It's a critical role - the accuracy of this work directly impacts deal timelines and client outcomes - and one that plays a key part in testing and refining TCC's proprietary automation tool as it's built and deployed.

What You'll Do
  • Extract, normalize, and organize data from source systems for each active deal
  • Execute current-state data mapping documentation under the direction of the Sr. Data Integration & Automation Manager
  • Prepare and validate data for transition pathway execution, ensuring completeness, accuracy, and consistency before handoff
  • Perform data quality checks and generate exception reports for review
  • Conduct QA testing on automation tool outputs - log issues, verify fixes, and document results
  • Maintain organized, version-controlled data mapping files and support the Manager in building and updating the master data dictionary
  • Flag data anomalies, system discrepancies, or mapping gaps proactively
  • Assist Project Managers with data-related questions on active deals

Requirements

What We're Looking For (Required)
  • 2+ years of experience in a data analyst, data operations, or similar role
  • Advanced proficiency in Excel or Google Sheets, including pivot tables, VLOOKUP/XLOOKUP, and data validation
  • Experience with SQL for data extraction and querying
  • Familiarity with data mapping concepts and multi-system data environments
  • High attention to detail and ability to manage multiple concurrent work items across different deals without losing accuracy
  • Bachelor's degree in Data Analytics, Information Systems, Business, or a related field (or equivalent experience)
Nice to Have
  • Experience with property management software or real estate data systems
  • Comfortable in a fast-paced, remote environment with evolving processes

Benefits

Compensation & Benefits
  • $80,000 base salary
  • 5-8% annual performance bonus
  • Comprehensive benefits package (health, dental, vision, 401(k))
  • Remote-friendly work environment
  • Hands-on experience building automation infrastructure from scratch
  • Direct mentorship from a senior data leader
  • Growth opportunity as the team and deal volume expand