[Hiring] Data Quality Administration Clerk @HRS Talent Solutions

Role Description

An empty field in a customer record does not always mean somebody forgot to type. This remote job reviews assigned online rows against the available source documents, enters values when the employer’s rules permit, and prepares a precise list of gaps for someone else to resolve. Office administration accuracy is central, while customer service benefits from records that do not mislead the next person. You will never invent a date, number or contact detail to make a sheet look finished.

Remote | Part-time | $25.35 - $27.60 per hour

Customer data should be checked from a private home office or similarly protected computer workspace.

• A field might be empty because the source did not contain the information, because an import failed, or because the item does not apply.
• Follow the employer's field guide before changing it.
• If the correct value is present in an approved source, enter it where your access allows and note what you used.
• If two sources disagree, preserve both references and flag the record for a decision.
• Do not copy a value from a similar row just because the pattern seems obvious.
• The work may arrive in batches. Mark the rows checked, separate confirmed corrections from unresolved gaps, and keep private details within the assigned system.
• A source owner should be able to review the exception list without searching through every row again.
• If a missing field affects an active customer request, use the team escalation route rather than waiting until the batch is finished.
• Leave a gap visible when there is no source.
• Check the assigned source before treating the two cases alike.
• Where a field truly has no source, record that fact and leave it for the owner.
• If a permitted correction is made, note which document supports it.
• Watch for apparent duplicates: two similar entries can refer to separate requests.
• The completed batch should show which rows were verified, which were corrected under instruction and which still need a decision.

Qualifications

• Customer service or office administration experience helps but is not required.
• The employer will train beginners on its data fields, sources, and privacy rules.
• You should be comfortable with spreadsheets and honest about a value you cannot verify.

Requirements

• Review assigned online rows for required fields.
• Compare blank values with approved source material.
• Enter a supported correction within your permissions.
• Mark inapplicable fields only under the provided rule.
• Flag conflicting or unavailable information.
• Keep a concise list of unresolved records and sources.
• Recheck a corrected row after saving.

Benefits

• A gap is not always an error.
• The source genuinely did not collect the field.
• The field is not applicable to the record type.
• A migration omitted an otherwise available value.
• Two source files contain conflicting values.
• A required field was left blank on an online form.
• The record belongs to a different customer or service.

Applying

You do not need a formal data-quality title on your resume. Work with spreadsheets, forms or accurate records from any setting is useful, and the employer will teach its fields and exception rules. Applicants with little experience are welcome if they can compare a source carefully and stop when evidence is missing. If you’re selected for the next step, you may be asked to complete an application on the hiring company’s website. A careful note about an unresolved field is as valuable here as a supported correction.