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Remote Field Data Scanner Jobs in Indiana (NOW HIRING)

Belden Inc

Data Technical Specialist - Remote

Richmond, IN · On-site +1

$101K - $152K/yr

Bachelor's degree in Computer Science, Information Technology, or a related field. * Strong ... Belden also offers hybrid and remote work practices where feasible and provides employees with ...

DHD Consulting

Electrical Estimator

Indianapolis, IN · On-site +1

$100K - $135K/yr

Indianapolis, IN (Onsite) / Portland, OR (Remote) / Phoenix, AZ (Remote) Salary: $100,000-$135,000 ... The role leverages design documents, field data, industry standards, RSMeans data, and current ...

CSpring

Senior Data Analyst

Indianapolis, IN · On-site +1

$82K - $103K/yr

... with company's remote work policy. * Domestic travel required less than 2% of the time ... Bachelor's degree in Computer Science, Information Systems, Systems Engineering, or a related field ...

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... or a related field; Master's degree preferred * Certifications in data governance or data ...

EHOB INC

Operations Data Analyst

Indianapolis, IN · On-site +1

... related field * 2-5 years of experience in data analysis, preferably in operations or business ... We do not offer relocation or remote work for this position. ** Other Skills * Language skills:

Deckers

United States (Remote) Interested applicants must reside in one of the following approved states ... field; Master's degree preferred * 10 to 15 years of experience in data architecture roles ...

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Remote Field Data Scanner information

What is the highest paying data job?

In data-related fields, roles such as data engineering, machine learning engineering, and data science tend to have the highest salaries. Senior positions with advanced skills in programming, cloud platforms, and analytics typically command higher compensation, especially with experience and relevant certifications.

How can I make 2000 a week working from home?

A Remote Field Data Scanner can potentially earn $2,000 weekly by performing high-volume data collection tasks, often requiring strong attention to detail and familiarity with scanning tools or software. Achieving this income level typically involves working full-time hours, gaining experience, and possibly handling multiple projects or clients simultaneously.

What is the difference between Remote Field Data Scanner vs Remote Data Collector?

AspectRemote Field Data ScannerRemote Data Collector
CredentialsTypically requires data collection or scanning certifications, technical skillsOften requires data entry or basic technical certifications
Work EnvironmentField-based, often outdoors or on-site at various locationsRemote, from home or office, with digital tools
Industry UsageUsed in environmental surveys, infrastructure inspections, utility assessmentsUsed in market research, data aggregation, remote monitoring

The main difference is that Remote Field Data Scanners operate primarily in the field, collecting physical or visual data, while Remote Data Collectors work remotely, focusing on digital data entry and aggregation. Both roles require technical skills but differ in work environment and specific tasks.

Do online data entry jobs really pay?

Remote field data scanner jobs typically pay based on the amount of data processed or per project, with rates varying widely. While some positions offer competitive pay, many online data entry jobs are low-wage or freelance opportunities, so earnings depend on skill level, efficiency, and the employer. Accurate data entry skills and familiarity with data management tools can improve earning potential.

What does a field data scanner do?

A remote field data scanner collects and records data from physical environments, such as infrastructure, equipment, or geographic features, often using specialized handheld or mobile scanning devices. The role involves operating scanning tools, capturing accurate data, and sometimes transmitting it to central systems for analysis, typically requiring attention to detail and familiarity with data collection protocols.
What are popular job titles related to Remote Field Data Scanner jobs in Indiana? For Remote Field Data Scanner jobs in Indiana, the most frequently searched job titles are:
What job categories do people searching Remote Field Data Scanner jobs in Indiana look for? The top searched job categories for Remote Field Data Scanner jobs in Indiana are:
What cities in Indiana are hiring for Remote Field Data Scanner jobs? Cities in Indiana with the most Remote Field Data Scanner job openings:
Remote Field Data Scanner jobs near you
Infographic showing various Remote Field Data Scanner job openings in Indiana as of July 2026, with employment types broken down into 1% As Needed, 81% Full Time, 9% Part Time, and 9% Contract. Highlights an 80% Physical, 4% Hybrid, and 16% Remote job distribution.
GIS Coordinator Remote (Ohio and Indiana only)

GIS Coordinator Remote (Ohio and Indiana only)

Conflux Systems

Indianapolis, IN • On-site, Remote

$37/hr

Full-time

Posted 2 days ago

Job description

Title: GIS Coordinator
Location: Indianapolis, IN
Pay Rate: $37/H W2 (No Benefits)
Interview Type: Webcam and Inperson
Work mode: Remote
Client: IDOH
Skills
Knowledge of geospatial concepts
Knowledge of appropriate cartographic designs and solutions
Work in ESRI ArcGIS Desktop software
Work in ESRI ArcGIS Software as a Service platform and configurable applications
Work with Python, ArcGIS API for Python, ArcPy, and other data science packages including web automation and scraping capabilities
Work with JavaScript and ArcGIS JavaScript API
Knowledge of SQL within Oracle and SQL Server platforms
Managerial/supervisory experience within a health-related field, data/technology-related field, or in another comparable field
Ability to engage with stakeholders and partners at the GIO, other agencies, state/local health departments, private sector, etc.
Project management skills (communication, organization, metric tracking)
Experience with data governance best practices (GIS-specific data governance)
Experience with GeoAI
Note: Resource will be required to attend local events as well as national conference in San Diego. Expenses/travel will be reimbursable.

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