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Data Reviewer Jobs in Chicago, IL (NOW HIRING)

TSMG

Mapping Data Collection Driver

Aurora, IL

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

TSMG

Mapping Data Collection Driver

Aurora, IL

We collect data where automation is not possible. We count features, take pictures, make videos ... reviewing applications, analyzing resumes, or assessing responses and identifying potential ...

Welo Data

Data Labeling Associate

Chicago, IL

$34/hr

Experienced in data labelling, annotation, content review, or similar detail-oriented work (2+ year preferred) * A Bachelor's degree holder PROJECT DETAILS * Location: 100% Onsite (Bay Area, Seattle ...

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All JobsData Reviewer JobsData Reviewer Jobs in Chicago, IL

Data Reviewer information

See Chicago, IL salary details

$13

$27

$44

How much do data reviewer jobs pay per hour?

As of Aug 30, 2026, the average hourly pay for data reviewer in Chicago, IL is $27.03, according to ZipRecruiter salary data. Most workers in this role earn between $14.86 and $37.40 per hour, depending on experience, location, and employer.

What is a data reviewer?

A data reviewer helps an organization review and interpret data for accuracy and interpretation. Data reviewers are necessary for many fields, including software development, quality assurance, medical and health care professions, and accounting, to name a few. Your responsibilities and duties are to look through collected data that has been entered into a spreadsheet or other database. You check it for any errors and manage issues you find. Some data reviewer positions, such as in medical research, include an analytical component; you help the research team to glean insight from the collected data.

How does a data reviewer typically collaborate with other teams to ensure data quality?

Data Reviewers work closely with data entry specialists, analysts, and project managers to verify the accuracy and consistency of datasets. They often participate in cross-functional meetings to discuss data discrepancies and establish best practices for data validation. This collaboration helps maintain high-quality data standards and ensures that any issues are promptly identified and resolved, supporting the overall goals of the organization.

What are the key skills and qualifications needed to thrive as a data reviewer, and why are they important?

To thrive as a Data Reviewer, you need strong analytical skills, attention to detail, and typically a background in life sciences, statistics, or a related field. Familiarity with data management systems, electronic data capture (EDC) platforms, and compliance standards such as GCP is commonly required. Excellent problem-solving, critical thinking, and communication skills help you identify discrepancies and collaborate with cross-functional teams. These competencies are crucial for ensuring data integrity, regulatory compliance, and the reliability of research outcomes.

What is the difference between Data Reviewer vs Data Analyst?

AspectData ReviewerData Analyst
Required CredentialsTypically a bachelor's degree in data management, IT, or related fields; certifications like CDMP are commonBachelor's degree in statistics, data science, or related fields; certifications like CAP or Microsoft certifications are common
Work EnvironmentMostly office-based, working with data validation tools and softwareOffice or remote, analyzing data sets, creating reports, and visualizations
Employer & Industry UsageUsed in industries like finance, healthcare, and government for data quality assuranceUsed across industries for data-driven decision making and reporting

While both roles involve working with data, Data Reviewers focus on validating and ensuring data accuracy, whereas Data Analysts interpret data to generate insights. Understanding these differences helps in choosing the right career path or job search focus.

How much does a clinical data reviewer make?

A clinical data reviewer typically earns between $50,000 and $80,000 annually, depending on experience, location, and the complexity of the data reviewed. They often work in healthcare or research settings, utilizing data management tools and adhering to regulatory standards.
More about Data Reviewer jobs

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

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

What are popular job titles related to Data Reviewer jobs in Chicago, IL?

For Data Reviewer jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Data Reviewer jobs in Chicago, IL look for?

The top searched job categories for Data Reviewer jobs in Chicago, IL are:

Data Reviewer jobs near you
Infographic showing various Data Reviewer 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 $56,229 per year, or $27 per hour.

Mapping Data Collection Driver

TSMG

Aurora, IL

Full-time

Re-posted 28 days ago

Job description

Company description
 
Service Measure (SM) is a field data collection company founded in 2013 in New York. 
 
We collect data where automation is not possible. We count features, take pictures, make videos, record speech, and scan areas for every detail you need to make more informed decisions. Our field data collection teams are spread across Europe and North America, ready to accept new challenges.
 
Role Overview
We are seeking reliable and safety-focused professional drivers to support a large-scale mapping data collection project. Drivers will operate client-provided vehicles equipped with specialized mapping equipment to collect high-quality street-level data across assigned zones. This role requires strong driving skills, technical awareness, and the ability to work independently while coordinating closely with field coordinators.
 
Travel and extended assignments away from home (hotel-based work) are required.
Key Responsibilities:
  • Safely operate client-provided vehicles equipped with mapping and data collection equipment
  • Collect mapping data within assigned zones efficiently and in compliance with project guidelines
  • Handle and protect all client-provided vehicles, devices, and equipment
  • Maintain vehicle and equipment cleanliness and basic upkeep
  • Research and identify safe local parking locations to ensure vehicle and equipment security
  • Securely park, cover, and safeguard the vehicle daily at designated locations
  • Report and handle incidents, including traffic accidents and public interactions, in a professional manner
  • Coordinate daily activities, assignments, and issue resolution with the Camp Coordinator
  • Communicate technical, mechanical, or operational issues promptly
  • Meet daily and weekly delivery targets in collaboration with project coordinators
  • Travel long distances as required and work in "hotel mode" during assignments
  • Maintain accurate inventory and device logs in the designated system or application
Requirements:
  • Minimum 5 years of driving experience
  • At least 2 years of professional driving experience (e.g., taxi, delivery, logistics, courier)
  • Good English
  • Experience driving larger vehicles (vans, trucks) is strongly preferred
  • Defensive, calm, and safety-oriented driving style
  • Comfortable driving in high-traffic and stressful conditions (e.g., rush hour)
  • Familiarity with GPS devices and navigation tools
  • Good knowledge of local roads, neighborhoods, and traffic patterns in the working country
  • Polite, professional, and respectful demeanor when interacting with the public
  • Basic technical and mechanical knowledge (e.g., changing tires, reading vehicle gauges)
Additional Skills & Attributes:
  • High sense of responsibility and attention to detail
  • Ability to follow operational procedures and safety guidelines
  • Strong time management and reliability
  • Comfortable working independently in the field
  • Willingness to travel and stay on assignment for extended periods
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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