Career Overview

Data Entry Clerks are responsible for inputting, updating, and maintaining information within computer systems and databases. They work across nearly every industry, including healthcare, finance, retail, and logistics, transcribing data from paper documents, forms, or verbal instructions into digital formats. Accuracy, attention to detail, and speed are essential, as errors can lead to costly downstream problems for a business.

Salary Range (US, estimates)

Key Statistics

Education Paths

• Required minimum: High School Diploma — Most employers require only a high school diploma or GED along with basic computer literacy and typing skills.
• Most common: High School Diploma + Typing Proficiency — Fast, accurate typing (50+ WPM) and familiarity with spreadsheet and database software are the most valued qualifications.
• Accelerator: Microsoft Office/Data Management Certification — Certifications in Excel, database software, or office administration can improve pay and open doors to related administrative roles.

Core Skills

• Fast and accurate typing
• Attention to detail
• Data verification and quality control
• Proficiency in spreadsheet and database software
• Basic knowledge of RPA or data automation tools
• Time management and organization

Pros

• Low barrier to entry, minimal formal education required
• Flexible and often remote-friendly work
• Predictable, structured tasks
• Opportunity to build foundational office and computer skills

Cons

• High risk of job displacement due to automation
• Repetitive and monotonous work
• Limited career growth without upskilling
• Often lower pay compared to other administrative roles

AI Impact on This Career

Data entry is among the most automatable jobs due to advances in optical character recognition, natural language processing, and robotic process automation. Many companies have already replaced large portions of manual data entry with software that captures and inputs data automatically. The role is expected to shrink significantly over the next decade.

Automation exposure: Tasks like transcribing forms, entering invoices, digitizing records, and copying data between systems are highly automatable using OCR, AI-powered document processing, and RPA bots.

The human edge: Humans retain an edge in handling ambiguous or poor-quality source documents, exercising judgment on exceptions, resolving discrepancies, and managing tasks requiring contextual understanding or communication with stakeholders.

Figures are estimates for exploration — verify current data with BLS.gov.