Shuvel Digital
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
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