Description:

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

• Based in the US and authorized to work in the US

• 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

Benefits

• High level exposure to software / programming