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
- Help label training data to assist in the development of machine learning algorithms.
- Participate in data labeling meetings and receive 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, with exposure or experience using technical systems.
- Proactive communicator.
- Strong ability to focus for long periods of time to ensure accuracy.
- Basic familiarity with 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.
#J-18808-Ljbffr
