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