Shuvel Digital
Description:
nAs 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.
nResponsibilities
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- As a Data Labeler, you will help label training data to assist in the development of machine learning algorithms n
- Participates in data labeling meetings and receives guidance and instructions from management n
Qualifications
nRequired
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- Experience: No prior experience required n
- Comfortable reviewing, analyzing, and tagging hundreds to thousands of data points per day n
- Detail-oriented and patient n
- Based in the US and authorized to work in the US n
- Technically inclined, exposure or experience using technical systems n
- Proactive communicator n
- Strong ability to focus for long periods of time to ensure accuracy n
- Basic familiarity on products and services offered by banks and credit unions n
- Ability to follow and interpret instructions and procedures to accomplish assignments n
- Ability to detect errors and initiate or arrange corrective action; follows through with cognizant parties to ensure resolution n
- Clear and concise verbal and written communication skills. n
Preferred
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- Strong analysis skills n
- Data gathering and organizational skills n
- Experience with Microsoft Office Suite: Working knowledge of word processing, spreadsheet, database, and presentation software n
- Experience with Webex or similar communication platform (i.e. Microsoft Teams) n
- Familiar with using web-based applications n
- An interest in machine learning or software engineering n
- Familiarity with Contact Centers n
- Experience that demonstrates knowledge, understanding, and application of operational support skills, methods, and procedures, preferably in a financial institution n
Benefits
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- High level exposure to software / programming n