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Automating Data Entry Jobs (NOW HIRING)

Help design "Golden Rules" for data entry within Coupa to ensure audit-ready project tracking. * Ad ... Experience with Generative AI and its application in automating business workflows. * Knowledge of ...

Help design "Golden Rules" for data entry within Coupa to ensure audit-ready project tracking. * Ad ... Experience with Generative AI and its application in automating business workflows. * Knowledge of ...

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... teams on automating data integrations with P21. · Stay ahead of the new P21 features and ... entry forms, as well as email and PDF templates. · Work with end users on usability/ Help Desk ...

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Automating Data Entry information

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How much do automating data entry jobs pay per hour?

As of Jun 8, 2026, the average hourly pay for automating data entry in the United States is $19.47, according to ZipRecruiter salary data. Most workers in this role earn between $16.35 and $21.88 per hour, depending on experience, location, and employer.

Can AI do my data entry job?

Automating data entry is a common application of AI, which can process large volumes of data quickly and accurately using tools like OCR and RPA. However, complex or unstructured tasks may still require human oversight to ensure quality and handle exceptions. Many data entry roles are evolving to include managing and validating AI outputs rather than performing manual input alone.

What are some common challenges faced when automating data entry processes, and how can they be addressed?

A key challenge in automating data entry is dealing with inconsistent or unstructured data formats, which can lead to errors if not properly handled. Additionally, integrating automation tools with legacy systems may require extra effort and technical know-how. These challenges can be addressed by thoroughly analyzing data sources beforehand, using robust data validation techniques, and collaborating closely with IT and stakeholders to ensure smooth system integration. Continuous monitoring and regular updates to automation scripts also help maintain data accuracy and process efficiency.

What is the difference between Automating Data Entry vs Data Entry Clerk?

AspectAutomating Data EntryData Entry Clerk
CredentialsBasic computer skills, familiarity with automation toolsHigh school diploma or equivalent, basic computer skills
Work EnvironmentOffice, remote, or automated systemsOffice setting, data input stations
Industry UsageUsed across industries to improve efficiencyCommonly employed in administrative roles
Primary FocusDeveloping and managing automation processesManual data input and verification

Automating Data Entry involves using software and tools to streamline and reduce manual input, increasing efficiency. In contrast, Data Entry Clerks manually input data into systems. While data entry clerks focus on manual tasks, automation specialists develop systems to handle repetitive data tasks, often requiring some technical skills. Both roles are essential in data management but differ significantly in scope and approach.

What is automating data entry?

Automating data entry refers to the use of software tools or technologies to automatically capture, process, and input data into digital systems, reducing or eliminating the need for manual data entry. This can involve technologies such as optical character recognition (OCR), Robotic Process Automation (RPA), and artificial intelligence to extract information from documents, emails, or forms and enter it into databases or applications. Automating data entry helps improve accuracy, increase efficiency, and allows employees to focus on higher-value tasks rather than repetitive data input.

What are the key skills and qualifications needed to thrive in automating data entry, and why are they important?

To excel in automating data entry, you need strong analytical skills, attention to detail, and experience with process optimization, often supported by a background in computer science or information technology. Proficiency with automation tools such as Python, RPA software (like UiPath or Automation Anywhere), and data management systems is typically essential. Problem-solving abilities, adaptability, and effective communication are valuable soft skills for identifying automation opportunities and collaborating with stakeholders. These skills ensure efficient, accurate data processing and enable organizations to save time and reduce errors in their workflows.
More about Automating Data Entry jobs
Infographic showing various Automating Data Entry job openings in the United States as of May 2026, with employment types broken down into 88% Full Time, 10% Part Time, 1% Temporary, and 1% Contract. Highlights an 94% Physical, 1% Hybrid, and 5% Remote job distribution, with an average salary of $40,504 per year, or $19.5 per hour.
Data Analyst, Emerging Talent Intern (Fall)

Data Analyst, Emerging Talent Intern (Fall)

Metropolitan Transportation Authority

New York, NY • On-site

$21/hr

Internship

Posted 27 days ago


Metropolitan Transportation Authority rating

7.5

Company rating: 7.5 out of 10

Based on 132 frontline employees who took The Breakroom Quiz

38th of 76 rated public transport


Job description

Job ID: 15682
Business Unit: New York City Transit
Location: New York, NY, United States
Regular/Temporary: Intern
Department: NYC Transit Authority
Date Posted: May 12, 2026
Description
Department: Department of Subways
Location: New York, NY 10019
Position Title: Data Analyst, Emerging Talent Intern
Hourly Rate: $21.00 (Graduate)
All internship positions are onsite and require regular, in-person attendance at the designated work location.
OVERVIEW OF DEPARTMENT:
The Operations Control Center serves as the central hub for system-wide operations within the (MTA). It is responsible for monitoring train movement, dispatching personnel, and managing incidents, delays, train failures, emergencies, and other critical events in real time.
The selected intern will support the Performance Analysis and CBTC Operations and Development Department. Within Performance Analysis, the intern will work with critical internal train performance data to help identify trends, improve service reliability, and support data-driven decision-making. Additionally, the intern will collaborate with the CBTC Operations team, which oversees projects related to CBTC technology-a system that continuously monitors and manages train movement to enhance operational efficiency and service performance.
This assignment will support the department by enhancing operational efficiency and data-driven decision making. Intern will help improve key performance metrics, enabling leadership to monitor service and respond proactively. Intern will assist in Automating repetitive tasks to reduce manual effort, minimizes errors, and allows management to focus on higher priority task.
RESPONSIBILITIES:
  • Perform administrative tasks assigned by management.
  • Track meeting discussions and provide detailed notes.
  • Perform general data entry in Excel and other applications.
  • Troubleshoot and resolve data-related issues and discrepancies across multiple databases.
  • Assist with cleaning and formatting data in Excel and other tools.
  • Analyze and validate data errors within internal systems.
  • Import and extract data from Access databases and internal systems such as ITRAC, STARS, and IRails.
  • Develop and support reporting tools to display internal data and key performance metrics.
  • Willingness to perform administrative and other assigned tasks as needed.

PROJECTS:
  • Develop and maintain dashboards to communicate operational activities and support reporting needs.
  • Assist in creating automation and workflows to improve efficiency and reduce repetitive tasks.
  • Support management in tracking and monitoring upcoming internal projects and general work in the field.

REQUIRED QUALIFICATIONS:
  • Proficiency in Microsoft Office Suite is a must, including PowerApps, Power BI, SharePoint, and Microsoft Lists.
  • The candidate should possess organizational, analytical and communication skills.
  • The candidate should be able to work well under pressure and prioritize tasks effectively.
  • The candidate should have a keen eye for detail and be able to work independently while being an active team player.
  • Basic understanding of database structures and reporting tools.
  • Knowledge of data visualization techniques and report creation

REQUIRED EDUCATION:
  • Matriculated in a graduate program in good standing with at least 2.8 GPA
  • Major(s) Preferred: Information Systems, Data Analytics, Business Analytics, Computer Science, or related field.

All applicants must be authorized to work in the United States at the time of application. Students' transcript must be submitted.
Equal Employment Opportunity
MTA and its subsidiary and affiliated agencies are Equal Opportunity Employers, including with respect to veteran status and individuals with disabilities. The MTA encourages qualified applicants from diverse backgrounds, experiences, and abilities, including military service members, to apply.

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