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Data Annotation Tech Remote Jobs in Chicago, IL (NOW HIRING)

Allied

Data Analyst - Data Ops

Chicago, IL · 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 ...

Tempus

Data Architect, Next Platform

Chicago, IL · On-site +1

$150K - $200K/yr

Recent advancements in underlying technology have finally made it possible for AI to impact ... Additionally, for remote roles open to individuals in unincorporated Los Angeles - including remote ...

CIBC US

Data Security Consultant

Chicago, IL · 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 ...

CIBC

Data Security Consultant

Chicago, IL · 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 ...

Ulta Beauty

Sr Data Engineer (Remote)

Bolingbrook, IL · On-site +1

$102K - $140K/yr

At Ulta Beauty, our tech team is critical to our scalability-and is recognized that way. We've been ... The Senior Data Engineer is responsible for supporting, planning and coordinating functional and ...

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All JobsData Annotation Tech JobsData Annotation Tech Remote JobsData Annotation Tech Remote Jobs in Chicago, IL

Data Annotation Tech Remote information

See Chicago, IL salary details

$12

$23

$35

How much do data annotation tech remote jobs pay per hour?

As of Sep 2, 2026, the average hourly pay for data annotation tech remote in Chicago, IL is $23.53, according to ZipRecruiter salary data. Most workers in this role earn between $17.36 and $27.98 per hour, depending on experience, location, and employer.

What is a data annotation tech remote?

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 the key skills and qualifications needed to thrive as a data annotation tech remote?

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 are some common challenges faced by remote data annotation techs, 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 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.

How much do remote data annotation tech jobs pay?

Remote data annotation technician jobs typically pay between $12 and $20 per hour, depending on experience, skill level, and the complexity of the annotation tasks. Some positions may offer additional benefits or flexible schedules, and pay rates can vary based on the employer and geographic location of the company or project. Entry-level roles often start at the lower end of the pay scale, while experienced annotators or those with specialized skills may earn higher wages.

What are the most commonly searched types of Data Annotation Tech jobs in Chicago, IL?

The most popular types of Data Annotation Tech jobs in Chicago, IL are:

What are popular job titles related to Data Annotation Tech Remote jobs in Chicago, IL?

For Data Annotation Tech Remote jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Data Annotation Tech Remote jobs in Chicago, IL look for?

The top searched job categories for Data Annotation Tech Remote jobs in Chicago, IL are:

Data Annotation Tech Remote jobs near you
Infographic showing various Data Annotation Tech Remote job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $48,945 per year, or $23.5 per hour.

Data Analyst - Data Ops

Allied

Chicago, IL • On-site, Remote

$50K - $55K/yr

Full-time

Medical, Dental, Vision, Life, PTO

Re-posted 28 days ago

Job description

POSITION SUMMARY:
The Data Analyst is responsible for delivering highly visible inbound and outbound EDI projects for the data operations team at Allied. This includes playing a key role in the ongoing monitoring of files and implementation of new trading partners; configuration of inbound and outbound ANSI X12-834 eligibility files and standard and custom data extracts, maintenance of existing trading partner files, and resolving existing trading partner file issues.
Technology platforms for project delivery: QicLink (system or record), new data integrations tools which include support client eligibility and claims files. This includes EDI mapping using internal testing and validation tools, etc.
ESSENTIAL FUNCTIONS
  • Participate in outbound file implementation projects, including supporting project initiation, helping define timelines, coordinating internal resources, participating in project meetings, and assisting with ongoing communications with vendors and internal Allied stakeholders.
  • Assist with file (claims, eligibility, extracts) implementations, supporting accurate configuration, testing, and transitions to production.
  • Support additional EDI, claims file, or data extract implementations as required.
  • Assist as a point of contact for eligibility (834) and claims file questions, implementations, production issues, and project-related updates for both internal teams and external partners.
  • Navigate, interpret, and troubleshoot 834 formatted files and claims files with guidance as needed, including completing data mapping, supporting file testing, and resolving data and formatting issues.
  • Support the use of internal testing, validation, and monitoring tools to execute file testing, document configurations, and help maintain a single source of truth for eligibility, claims, and EDI files across teams and vendor partners.
  • Assist in monitoring file processing status and performance through eligibility audit reports, claims reporting, and other reporting mechanisms, helping to identify risks, discrepancies, or trends.
  • Support the review, investigation, and resolution of data discrepancies related to eligibility, claims, accumulators, or downstream impacts, coordinating with customer service, account management, IT, and vendor/client contacts.
  • Coordinate with internal teams to support implementation milestones and delivery timelines, escalating risks or blockers as needed.
  • Assist in troubleshooting and escalating complex data or file processing issues with internal and external partners, providing clear documentation and recommended next steps.
  • Support data quality initiatives by following established controls and contributing to the improvement of testing, documentation, and operational processes.
  • Partner with Data Operations leadership to support assigned initiatives, provide status updates, and contribute subject matter knowledge to broader data management efforts.
  • Other duties as assigned.

EDUCATION
  • Bachelor's degree or equivalent work experience required.

EXPERIENCE AND SKILLS
  • At least 2-3 years experience working with inbound and outbound ANSI X12 834 EDI files, including some experience with the X12 834 format
  • Working knowledge of data management, data warehousing, and coding languages
  • Basic experience in SQL and Microsoft Power BI, along with strong computer skills, including proficiency in the Microsoft Office Suite (Word, Excel, etc.)
  • Knowledge of data integration programs involving all components including source systems, ETL, data quality/integrity, database, and delivery mechanisms and EDI business processes, practices, and procedures within healthcare environment
  • Strong work-ethic and positive attitude and exceptional ability to manage multiple projects across functional teams in a fast-paced environment
  • Strong communication skills (both verbal and written) and an ability to provide recommendations on data integrations and applications
  • Strategic, conceptual analytical thinking and ability to work on multiple projects at once.
  • Ability to advise on complex technical matters to all stakeholders; ability to communicate effectively with management.

POSITION COMPETENCIES
  • Accountability
  • Analytical Thinking
  • Collaboration
  • Communication
  • Customer Focus
  • Functional Expertise
  • Initiative

PHYSICAL DEMANDS
  • This is a standard desk role requiring extended sitting and computer work.

WORK ENVIROMENT
  • Remote

Here at Allied, we believe that great talent can thrive from anywhere. Our remote friendly culture offers flexibility and the comfort of working from home, while also ensuring you are set up for success. To support a smooth and efficient remote work experience, the internet connection must be obtained through a cable broadband or fiber optic internet service provider with speeds of at least 100Mbps download/25Mbps upload. Reliable internet service is essential for staying connected and productive.
The company has reviewed this job description to ensure that essential functions and basic duties have been included. It is not intended to be construed as an exhaustive list of all functions, responsibilities, skills, and abilities. Additional functions and requirements may be assigned by supervisors as deemed appropriate.
Compensation is not limited to base salary. Allied values our Total Rewards, and offers a competitive Benefit Package including, but not limited to, Medical, Dental, Vision, Life and Disability Insurance, Generous Paid Time Off, Tuition Reimbursement, EAP, and a Technology Stipend.
Allied reserves the right to amend, change, alter, and revise, pay ranges and benefits offerings at any time. All applicants acknowledge that by applying to the position you understand that the specific pay range is contingent upon meeting the qualification and requirements of the role, and for the successful completion of the interview selection and process. It is at the Company's discretion to determine what pay is provided to a candidate within the range associated with the role.

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