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