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Data Labeling Specialist

Ampcus, Inc
United States, Florida, Pensacola
Aug 29, 2024
Ampcus Inc is a certified global provider of a broad range of Technology and Business consulting services. We are in search of a highly motivated candidate to join our talented Team.

Job Title: Data Labeling Specialist

Location(s): Pensacola, FL

As a Data Labeler, you will help label training data to feed machine learning algorithms. Specifically, you will be responsible for analyzing, curating, and categorizing large amounts of data.

Responsibilities:

As a Data Labeler, you will help label training data to assist in the development of machine learning algorithms

Participates in data labeling meetings and receives guidance and instructions from management

Qualifications


  • Required
  • Experience: No prior experience required
  • Comfortable reviewing, analyzing, and tagging hundreds to thousands of data points per day
  • Detail-oriented and patient
  • Technically inclined, exposure or experience using technical systems
  • Proactive communicator
  • Strong ability to focus for long periods of time to ensure accuracy
  • Basic familiarity on products and services offered by banks and credit unions
  • Ability to follow and interpret instructions and procedures to accomplish assignments
  • Ability to detect errors and initiate or arrange corrective action; follows through with cognizant parties to ensure resolution
  • Clear and concise verbal and written communication skills.


Preferred :

  • Strong analysis skills
  • Data gathering and organizational skills
  • Experience with Microsoft Office Suite: Working knowledge of word processing, spreadsheet, database, and presentation software
  • Experience with Webex or similar communication platform (i.e. Microsoft Teams)
  • Familiar with using web-based applications
  • An interest in machine learning or software engineering
  • Familiarity with Contact Centers
  • Experience that demonstrates knowledge, understanding, and application of operational support skills, methods, and procedures, preferably in a financial institution

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