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Automating Data Entry Jobs (NOW HIRING)

SteerBridge

Senior Data Engineer

Vienna, VA

$106K - $144K/yr

Your mission will be to enhance and optimize data entry, management and extraction within this ... Experience in scripting, tooling, and automating large-scale computing environments. * Extensive ...

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SteerBridge

Senior Data Engineer

Vienna, VA · On-site

$106K - $144K/yr

Your mission will be to enhance and optimize data entry, management and extraction within this ... Experience in scripting, tooling, and automating large-scale computing environments. * Extensive ...

SteerBridge

Senior Data Engineer

Vienna, VA · On-site

$106K - $144K/yr

Your mission will be to enhance and optimize data entry, management and extraction within this ... Experience in scripting, tooling, and automating large-scale computing environments. * Extensive ...

Next Step Systems

IT Support Specialist

Chicago, IL · On-site

... to automating data collection or entry; website design; basic coding/scripting). - Setup and prepare offices with IT equipment. - Assist with routine local technical projects and deployment of ...

RIT Solutions

RPA Developer

Daytona Beach, FL · On-site

Experience with Oracle E-Business Suite, including data entry and process automation. * Proficiency ... Experience with Hyperscience technologies for automating business processes and digitizing ...

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Automating Data Entry information

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How much do automating data entry jobs pay per hour?

As of Jul 1, 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 you automate data entry jobs?

Automating data entry jobs involves using software tools like robotic process automation (RPA), macros, or specialized data management programs to perform repetitive tasks. These tools can increase efficiency and reduce errors, but require knowledge of relevant software and sometimes basic programming skills. Automation is suitable for high-volume, rule-based tasks but may not handle complex or unstructured data well.

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.

Can I use AI to do my data entry job?

Automating data entry jobs with AI is possible and increasingly common, as AI tools can process and input data efficiently. However, tasks requiring high accuracy, judgment, or handling complex formats may still need human oversight. Familiarity with data management software and basic AI tools can enhance productivity in this role.

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 is the highest paying data entry job?

The highest paying data entry roles typically involve specialized skills such as medical or legal transcription, data management, or working with advanced software like OCR tools. These positions often require additional certifications or experience and can pay higher salaries compared to basic data entry jobs, especially in industries with complex or sensitive data. Salaries vary by location and employer, but advanced roles can reach higher income levels within the data entry field.

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.

Is AI eliminating data entry jobs?

AI is automating many data entry tasks, which can reduce the need for manual labor in roles like data entry clerk. However, jobs that require complex judgment, oversight, or handling unstructured data still rely on human workers, and many organizations seek professionals skilled in AI tools and data management. Automation often shifts the role toward overseeing AI systems rather than eliminating the jobs entirely.
More about Automating Data Entry jobs
What job categories do people searching Automating Data Entry jobs look for? The top searched job categories for Automating Data Entry jobs are:
Automating Data Entry jobs near you
Infographic showing various Automating Data Entry job openings in the United States as of June 2026, with employment types broken down into 5% As Needed, 5% Full Time, 69% Part Time, 2% Temporary, 17% Contract, and 2% Nights. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $40,504 per year, or $19.5 per hour.
IT Label Designer/Technician

IT Label Designer/Technician

CivicMinds, Inc.

Vernon, CA • On-site

Full-time

Posted 19 days ago

Job description

Duties and Responsibilities:
• Label Design & Creation: Design and create labels using CodeSoft and BarTender software for various applications, including barcode labels, RFID tags, and general product labels.
• Template Management: Develop, maintain, and optimize label templates to ensure consistent design and accuracy.
• Software Proficiency: Possess strong skills in both CodeSoft and BarTender software, including design features, data management, and printing options.
• Compliance: Ensure labels adhere to industry standards and regulations, such as GS1, RFID, and FDA guidelines.
• Collaboration: Work with cross-functional teams to understand labeling requirements and provide technical support.
• Other duties as assigned
Qualifications and Experience:
• Software Proficiency: Intermediate level experience with CodeSoft, BarTender and/or LabelMatrix software (expert level preferred); beginner to intermediate level in SQL programming.
• Labeling Knowledge: Deep understanding of labeling processes in relevant industries (e.g., manufacturing, logistics).
• Data Management: Experience with data entry, data formatting, and integrating data with labels.
• Communication: Excellent communication and collaboration skills to work with stakeholders.
• Problem-Solving: Ability to troubleshoot and resolve issues related to label design and printing.
• Industry-Specific Knowledge: Familiarity with relevant industry standards and regulations (e.g., GS1, SSCC).
Desired Skills & Experience:
• Automation: Experience with automating label printing processes and integrating with ERP systems, Aspen Canopy .
• Project Management: Experience managing label design projects and ensuring deadlines are met.

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