Data Entry Specialist (REMOTE)

Telluride Bud Company; Houston (TX); Remote; USD 20,664 - 27,552; Part time

Job summary

A leading data management firm is seeking a Data Entry Specialist to join their team remotely. The role involves collecting and entering data, ensuring accurate document classification, and sorting files. Candidates should have a high school diploma and exceptional attention to detail. This casual, flexible position requires strong organizational and problem-solving skills, making it ideal for those who can work independently. Competitive pay and the opportunity to work from anywhere are key benefits of this position.

Qualifications

• High school diploma or equivalent qualification.
• Strong problem-solving and analytical skills.
• Ability to work independently with minimal supervision.

Responsibilities

• Receive, process, and ensure document classification completion.
• Sort, image, document, file, and archive by form type.
• Verify data from clients' data extraction tools.

Skills

Exceptional attention to detail

Strong data management

Organizational Skills

Strong problem-solving skills

Analytical skills

Education

High school diploma or equivalent

Job description

About the job Data Entry Specialist (REMOTE)

As a Data Entry Specialist, you will provide support by collecting and entering data as assigned. This is a casual/temporary position working various days of the week between the hours of 8:00am-5:00pm, flexible schedule.

Responsibilities :

Receives, processes, and ensures document classification are completed and transmitted to clients.

Sorts, images, documents, files, and archives by form type.

Performs other duties as assigned.

Ensures transmission of processed data to the appropriate next level.

Verifies data from Clients data extraction tools.

Skills:

Exceptional attention to detail

Strong data management and organizational Skills

Qualifications:

High school diploma or equivalent qualification

Strong problem-solving and analytical skills

Ability to work independently with minimal supervision