Data Entry Keyer Job Description Template

In plain language: Formally names the position, identifies the department it sits within, and states who the keyer reports to — establishing the organizational hierarchy.

Common mistake: Omitting the FLSA classification. A missing or incorrect classification exposes the employer to unpaid overtime claims, because data entry keyers are almost always non-exempt under the FLSA.

In plain language: A two-to-four sentence overview of the role's primary purpose — what the keyer does, what systems they work in, and what outcomes the role supports.

Common mistake: Writing a generic summary copied from an internet posting rather than describing the specific system, data type, or business function. Vague summaries attract unqualified applicants and create misaligned expectations.

In plain language: A numbered or bulleted list of the core tasks the keyer performs daily — entering, verifying, correcting, and filing data — with enough specificity to support performance evaluation.

Common mistake: Listing marginal duties as essential functions. Under the ADA, only tasks that are truly essential should appear here — if a task can be reassigned, it is not essential and should not be used to exclude a qualified candidate with a disability.

In plain language: States the minimum typing speed in KPH or WPM, the maximum acceptable error rate, and how performance will be measured and reviewed.

Common mistake: Setting benchmarks without specifying how they will be measured. Unverified benchmarks are unenforceable and create disputes during performance improvement processes.

In plain language: Lists the minimum education, experience, certifications, and technical skills a candidate must have to be considered for the role.

Common mistake: Inflating education requirements beyond what the role genuinely needs — e.g., requiring a bachelor's degree for a role where a high school diploma and typing speed are the real predictors of success. This can constitute unlawful disparate impact under Title VII.

In plain language: Lists desirable but non-mandatory attributes that would make a candidate stronger — additional systems knowledge, industry experience, or relevant certifications.

Common mistake: Blending preferred qualifications with required ones in a single list. Candidates who don't meet a preferred qualification may self-screen out, reducing the talent pool unnecessarily.

In plain language: Describes the physical demands of the role — prolonged sitting, repetitive hand motion, computer screen time — and the work environment, including noise level, lighting, and any special conditions.

Common mistake: Omitting physical requirements entirely. Under the ADA, documented physical requirements are necessary to evaluate whether a reasonable accommodation is feasible — their absence makes the employer's position legally ambiguous in accommodation disputes.

In plain language: States the hourly wage or salary range, pay frequency, eligibility for overtime, benefits, and the standard work schedule.

Common mistake: Omitting the pay range in jurisdictions that require salary transparency (e.g., California, New York, Colorado). Posting without a range in covered states creates compliance risk and can result in regulatory fines.

In plain language: Requires the employee to protect all sensitive data encountered in the role — including PII, financial records, or protected health information — and prohibits unauthorized disclosure.

Common mistake: Referencing HIPAA or GDPR by name without specifying which applies to the role. Including both when only one is relevant signals that the document is a generic template that wasn't reviewed for the specific employer context.

In plain language: Affirms the employer's EEO commitment and, where applicable, states the at-will nature of the employment relationship.

Common mistake: Placing the at-will statement only in the offer letter and not in the job description. Inconsistency across documents creates ambiguity courts resolve in the employee's favor.

A data entry keyer job description is a formal document that defines the duties, qualifications, performance standards, compensation, and employment conditions for a data entry keyer role. It serves as both a recruitment tool — attracting qualified candidates — and a legal reference document that governs performance management, accommodation decisions, and termination proceedings. A well-drafted description reduces hiring disputes and protects the employer in EEOC and ADA claims.

Core duties include entering data from source documents, audio recordings, or digital files into a database or information system; verifying accuracy of entered records against originals; identifying and correcting errors; and maintaining confidentiality of sensitive information. Depending on the industry, keyers may work in patient record systems (healthcare), invoice databases (finance), inventory platforms (logistics), or CRM systems (sales). Most roles also involve basic filing, sorting, and report generation.

Minimum qualifications typically include a high school diploma or GED, demonstrated typing speed of at least 45–50 WPM or 8,000 KPH on a 10-key numeric keypad, and an error rate below 2%. Proficiency in the employer's specific data entry software — MS Excel, an EHR system, or an ERP platform — is usually required. Industry-specific experience (healthcare, finance, logistics) is preferred for roles involving regulated data types.

Data entry keyers are almost always classified as non-exempt under the FLSA, meaning they are entitled to overtime pay at 1.5× their regular rate for hours worked over 40 per week. The role does not meet the administrative, executive, or professional exemption tests because it involves routine, non-discretionary work rather than independent judgment on matters of significance. Misclassifying a keyer as exempt can trigger back-pay claims covering up to three years.

Industry benchmarks vary by data type. For alphanumeric entry (mixed letters and numbers), 50–60 WPM with an error rate under 2% is a common minimum. For numeric-only keypad entry, 8,000–10,000 KPH is the standard professional benchmark. High-volume environments in healthcare and finance may require 12,000+ KPH. The job description should state the specific minimum and specify how it will be tested during the hiring process.

Yes, if the employer posts the role in or hires for a location covered by salary transparency legislation. As of 2025, California, Colorado, New York, Washington, and several other states require employers above a certain size to include a pay range in job postings. Employers should confirm the applicable state and local laws for every posting location before publishing, as non-compliance can result in fines and agency investigations.

Yes. Data entry keyers routinely handle sensitive records — patient information, financial data, customer PII — and their confidentiality obligations should be stated in the job description and reinforced in the employment contract and onboarding documentation. The job description should identify the specific data type and the applicable legal framework (HIPAA, GDPR, CCPA) so the employee understands the obligation from day one.

A job description is the internal governing document that defines the role's duties, qualifications, performance standards, and employment conditions — used for hiring, performance reviews, and legal defense. A job posting is the external advertisement derived from the job description, typically shorter and written to attract applicants rather than define legal obligations. Both should be consistent but the job description is the authoritative record.

A signed acknowledgment is strongly recommended and is standard practice in most employment contexts. The employee's signature confirms they received, read, and understood the job description — including performance standards and confidentiality obligations. This signed record is valuable evidence if the employer later disciplines or terminates the employee for failing to meet the documented expectations.