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