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Automating Data Entry Jobs (NOW HIRING)

Executive Assistant

Salida, CO · On-site

$60K - $70K/yr

... data entry, and reporting wherever possible, not just complete these tasks manually. The ideal candidate is process-oriented and efficiency-driven, with an interest in automating manual workflows and ...

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 ...

... 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 ...

Our mission is to increase the efficiency of the global supply chain by automating the manual workflows that slow logistics teams down - from scheduling and appointment setting to data entry and load ...

Developing data analytics and automating analytic workflows for​ Data Parsing * Tool knowledge ... Global Entry * Annual Swag Budget Learn more about GliaCell Technologies: To apply for this ...

Data Scientist

Honolulu, HI · On-site

$50K - $120K/yr

Developing data analytics and automating analytic workflows for Data Parsing * Tool knowledge ... Global Entry * Annual Swag Budget Learn more about GliaCell Technologies: To apply for this ...

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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 22, 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 ChatGPT do data entry?

ChatGPT can assist with data entry tasks by generating or verifying text-based data, but it cannot directly perform automated data entry into databases or spreadsheets without integration with other tools or scripts. It is useful for automating parts of the process, such as data validation or content generation, when combined with automation platforms or programming skills.

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 complex judgment or accuracy may still need human oversight, and familiarity with data management software is beneficial.

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.

Which data entry jobs are legit?

Legit data entry jobs typically involve tasks such as inputting information into spreadsheets or databases, often requiring basic computer skills and attention to detail. Reputable employers usually offer clear job descriptions, avoid upfront fees, and may require skills in software like Excel or Google Sheets. It's important to research companies and avoid jobs that promise high pay for minimal work or ask for payment upfront.

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 number of manual data entry jobs. However, roles that involve oversight, data validation, and complex decision-making still require human skills, and new opportunities may emerge in managing and developing AI systems. Data entry professionals can adapt by learning related technical skills such as using automation tools and data management software.
More about Automating Data Entry jobs
Infographic showing various Automating Data Entry job openings in the United States as of July 2026, with employment types broken down into 2% Locum Tenens, 67% Full Time, 4% Part Time, 4% Contract, and 23% Nights. Highlights an 74% Physical, 6% Hybrid, and 20% 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

Re-posted 10 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.