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Social Security Data Entry information

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How much do social security data entry jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for social security 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.

What are popular job titles related to Social Security Data Entry jobs?

For Social Security Data Entry jobs, the most frequently searched job titles are:

Infographic showing various Social Security Data Entry job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $40,504 per year, or $19.5 per hour.

Data Entry Assistant - Entry Level / Remote

Remote

Only Data Entry
See more jobs at Only Data Entryexternal

$17.25 - $22.75/hr

Other

Posted 2 days ago

New

Job description

Data Entry Assistant - Entry Level / Remote

Yuba City, CA, United States Job Openings Data Entry Assistant - Entry Level / Remote

About the Job

CHECK YOUR EMAIL, INCLUDING YOUR SPAM FOLDER, FOR INSTRUCTIONS AFTER APPLYING

Are you ready to embark on a career that offers endless opportunities for growth and development? Do you have a passion for precision and an eye for detail? If so, we have the perfect entry-level opportunity for you as a Remote Data Entry Operator at our company.

About Us:

We believe that data is the lifeblood of modern business. Our mission is to empower organizations with the most accurate, up-to-date, and reliable data to drive their success. As a Remote Data Entry Operator, you will play a pivotal role in ensuring that our data remains pristine and ready for analysis.

Responsibilities:

  • Accurately input, update, and maintain large volumes of data into our database systems.
  • Verify and cross-reference data to ensure its accuracy and completeness.
  • Conduct data quality checks and resolve discrepancies in a timely manner.
  • Collaborate with other teams to gather and clarify data requirements.
  • Maintain data confidentiality and adhere to data security protocols.
  • Contribute to process improvement initiatives to enhance data entry efficiency.

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