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 ...
Quick apply
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 ...
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 ...
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 ...
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 ...
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 ...
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 ...
Quick apply
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 ...
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 ...
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 ...
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 ...
Quick apply
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 ...
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 ...
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 ...
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 ...
Quick apply
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 ...
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 ...
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 ...
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 ...
Quick apply
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 ...
The ideal candidate will be able to communicate with the other data reviewers to ensure adherence to quality standards. The Quality Assurance Technical Services (QATS) Specialist is responsible for ...
The ideal candidate will be able to communicate with the other data reviewers to ensure adherence to quality standards. The Quality Assurance Technical Services (QATS) Specialist is responsible for ...
The ideal candidate will be able to communicate with the other data reviewers to ensure adherence to quality standards. The Quality Assurance Technical Services (QATS) Specialist is responsible for ...
The ideal candidate will be able to communicate with the other data reviewers to ensure adherence to quality standards. The Quality Assurance Technical Services (QATS) Specialist is responsible for ...
The ideal candidate will be able to communicate with the other data reviewers to ensure adherence to quality standards. The Quality Assurance Technical Services (QATS) Specialist is responsible for ...
The ideal candidate will be able to communicate with the other data reviewers to ensure adherence to quality standards. The Quality Assurance Technical Services (QATS) Specialist is responsible for ...
The ideal candidate will be able to communicate with the other data reviewers to ensure adherence to quality standards. The Quality Assurance Technical Services (QATS) Specialist is responsible for ...
Quick apply
The ideal candidate will be able to communicate with the other data reviewers to ensure adherence to quality standards. The Quality Assurance Technical Services (QATS) Specialist is responsible for ...
Data Capture Operator
Marion, IN · On-site
$14.85/hr
Review and organize documents using clear guidelines and procedures * Operate scanning equipment to prepare documents for processing * Follow established processes to ensure data is handled securely
Data Capture Operator
Marion, IN · On-site
$14.85/hr
Review and organize documents using clear guidelines and procedures * Operate scanning equipment to prepare documents for processing * Follow established processes to ensure data is handled securely
Data Capture Operator
Marion, IN · On-site
$14.85/hr
Review and organize documents using clear guidelines and procedures * Operate scanning equipment to prepare documents for processing * Follow established processes to ensure data is handled securely
Data Capture Operator
Marion, IN · On-site
$14.85/hr
Review and organize documents using clear guidelines and procedures * Operate scanning equipment to prepare documents for processing * Follow established processes to ensure data is handled securely
Data Analyst
Indianapolis, IN · On-site
JOB DUTIES • Serves as project lead/subject matter expert for specific data sources, as assigned • Reviews and provides feedback on the work products of other analysts • Responsible for ...
Data Analyst
Indianapolis, IN · On-site
JOB DUTIES • Serves as project lead/subject matter expert for specific data sources, as assigned • Reviews and provides feedback on the work products of other analysts • Responsible for ...
Data Architect
Indianapolis, IN · On-site
$61 - $78.50/hr
Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 25% Clearance ... Support system design reviews, technical documentation, and government architecture forums * Mentor ...
Data Architect
Indianapolis, IN · On-site
$61 - $78.50/hr
Job Family: Data Engineering & Architecture Consulting Travel Required: Up to 25% Clearance ... Support system design reviews, technical documentation, and government architecture forums * Mentor ...
Coordinate data review, discrepancy management, external data reconciliation, database lock readiness, audit-ready documentation, controlled terminology, metadata, data lineage, access, retention ...
Coordinate data review, discrepancy management, external data reconciliation, database lock readiness, audit-ready documentation, controlled terminology, metadata, data lineage, access, retention ...
Coordinate data review, discrepancy management, external data reconciliation, database lock readiness, audit-ready documentation, controlled terminology, metadata, data lineage, access, retention ...
Coordinate data review, discrepancy management, external data reconciliation, database lock readiness, audit-ready documentation, controlled terminology, metadata, data lineage, access, retention ...
Data Reviewer information
See Indiana salary details
$13.70 is the 25th percentile. Wages below this are outliers.
$12.35 - $14.97
48% of jobs
The median wage is $16.94 / hr.
$14.97 - $17.59
2% of jobs
$17.59 - $20.21
1% of jobs
$20.21 - $22.83
1% of jobs
$22.83 - $25.45
3% of jobs
$25.45 - $28.07
1% of jobs
$28.07 - $30.69
8% of jobs
$30.69 - $33.31
9% of jobs
$33.39 is the 75th percentile. Wages above this are outliers.
$33.31 - $35.93
9% of jobs
$35.93 - $38.55
6% of jobs
$38.55 - $41.17
9% of jobs
$12
$24
$41
How much do data reviewer jobs pay per hour?
As of Jun 23, 2026, the average hourly pay for data reviewer in Indiana is $24.97, according to ZipRecruiter salary data. Most workers in this role earn between $13.70 and $34.52 per hour, depending on experience, location, and employer.
What is the difference between Data Reviewer vs Data Analyst?
| Aspect | Data Reviewer | Data Analyst |
|---|---|---|
| Required Credentials | Typically a bachelor's degree in data management, IT, or related fields; certifications like CDMP are common | Bachelor's degree in statistics, data science, or related fields; certifications like CAP or Microsoft certifications are common |
| Work Environment | Mostly office-based, working with data validation tools and software | Office or remote, analyzing data sets, creating reports, and visualizations |
| Employer & Industry Usage | Used in industries like finance, healthcare, and government for data quality assurance | Used 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.
What Is the Job of 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.
What are Data Reviewers?
Data Reviewers are professionals responsible for examining, verifying, and validating data to ensure its accuracy, completeness, and compliance with established standards or regulations. They typically work with large datasets, reviewing and identifying errors or inconsistencies, and may also recommend or implement corrective actions. Data Reviewers play a crucial role in maintaining the quality and reliability of information used in various industries, such as healthcare, finance, and research.
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.
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.
More about Data Reviewer jobs
What are the most commonly searched types of Data Reviewer jobs in Indiana? The most popular types of Data Reviewer jobs in Indiana are:
What are popular job titles related to Data Reviewer jobs in Indiana? For Data Reviewer jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Data Reviewer jobs in Indiana look for? The top searched job categories for Data Reviewer jobs in Indiana are:
What cities in Indiana are hiring for Data Reviewer jobs? Cities in Indiana with the most Data Reviewer job openings:
What are popular job titles related to Data Reviewer jobs in IN? For Data Reviewer jobs in IN, the most frequently searched job titles are:
Full-time
Posted 19 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
- 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)
- 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.