Data Entry Keyer

Data Entry Keyer

Remote | Contractor

Annualized Equivalent: $41,600–$72,800/year based on 40 hours/week
Hourly Rate: $20–$35/hour equivalent

Compensation is output-based and paid per task that meets project specifications. The annualized figure is an hourly-equivalent reference only; actual earnings depend on task complexity, completion time, experience, workflow, and applicable minimum submission requirements.

About the Role

Apply your data entry and validation expertise to highly detailed evaluation tasks designed to test accuracy, error detection, and data reconciliation. This opportunity is suited to professionals who are meticulous, process-oriented, and experienced in working with complex datasets where accuracy and data integrity are critical.

You’ll design realistic data entry and validation challenges, create datasets containing authentic errors and inconsistencies, define expected outcomes, and develop detailed grading standards for evaluating AI agent performance. Prior AI experience is not required.

Key Responsibilities

Data Entry & Validation Task Design

• Design expert-level evaluation tasks that simulate real-world data entry and validation challenges.

• Create realistic scenarios requiring accurate data entry, error identification, validation, and reconciliation.

• Ensure tasks reflect the complexity and precision expected in professional data environments.

Dataset Creation & Curation

• Construct and curate complex datasets across multiple file formats.

• Work with CSVs, PDFs, spreadsheets, and technical documents.

• Introduce realistic data-quality challenges, including malformed records, missing information, and inconsistent formatting.

• Ensure datasets accurately represent the types of inconsistencies encountered in real-world workflows.

Error Detection & Reconciliation

• Define the correct final state for each evaluation task.

• Specify the exact errors and inconsistencies an AI agent should identify.

• Establish clear reconciliation requirements and expected outcomes.

• Evaluate accuracy and completeness in detecting data issues.

Grading Rubrics & Evaluation

• Author detailed grading rubrics containing 35+ evaluation criteria.

• Develop standards for assessing AI agent outputs against defined requirements.

• Evaluate both accuracy and completeness of error detection.

• Ensure grading criteria are clear, consistent, and defensible.

Quality & Collaboration

• Ensure evaluation materials reflect authentic standards in regulated or audit-sensitive environments.

• Review and refine tasks and datasets for accuracy and consistency.

• Communicate clearly through written and verbal channels in a distributed project environment.

• Collaborate asynchronously to iterate on evaluation materials and incorporate feedback.

Required Skills & Experience

• Extensive experience in data entry, quality assurance, data validation, or a closely related discipline.

• Experience working with data where accuracy, integrity, or compliance is critical.

• Strong ability to identify and analyze data inconsistencies and errors.

• Experience detecting formatting irregularities, missing data, malformed records, and silent truncations across different file types.

• Demonstrated ability to maintain and document high accuracy standards.

• Strong written English and ability to clearly document complex evaluation requirements.

• Exceptional attention to detail and disciplined, process-oriented working style.

• Strong understanding of data integrity and quality assurance principles.

• Ability to work independently and proactively communicate within remote, distributed teams.

• Strong ability to follow detailed requirements and produce consistent, high-quality outputs.

Relevant Experience

Experience in regulated or audit-sensitive environments such as:

• Healthcare claims

• Finance back-office operations

• Legal operations

• Other compliance-sensitive data environments

Core Skills

• Data Entry

• Data Validation

• Data Quality Assurance

• Error Detection

• Data Reconciliation

• Accuracy Control

• Data Integrity

• Format Reconciliation

• Dataset Curation

• CSV & Spreadsheet Validation

• PDF Data Review

• Document Validation

• Quality Control

• Evaluation Rubric Development

• Process Discipline

• Attention to Detail

• Written Communication

• Remote Collaboration

Compensation

Annualized Equivalent: $41,600–$72,800/year based on 40 hours/week
Hourly Rate: $20–$35/hour equivalent

Compensation is output-based and paid per completed task that meets project specifications. Actual compensation may vary based on task requirements, experience, and workflow. Minimum weekly submission requirements apply.

Role Details

• Role Type: Contractor

• Work Arrangement: Fully Remote

• Compensation Model: Output-based

• Focus: Data entry validation, error detection, dataset creation, reconciliation, quality assurance, and AI evaluation tasks

• AI Experience: Not required

• Availability: Minimum task submissions per week required

• Start Timeline: First tasks expected within 24–48 hours after completing onboarding for selected candidates