Labeling typically takes a set of unlabeled data and augments each piece of that unlabeled data with meaningful tags that then fuels/creates Machine Learning Algorithms (MLA).

ESSENTIAL DUTIES & RESPONSIBILITIES:

• Review, analyze and label data (text categorization, domain classification, entity extraction and linkage, event detection, etc.) that will aid in machine learning
• Analyze collected data, group transaction segments, and pinpoint areas for breakthrough and incremental improvements for the account/process
• Observe, identify systematic patterns on help devise innovative solutions with strategic partners
• Collaborate with CX Analytics team, Data scientists, strategic partners on all aspects of the work

QUALIFICATIONS

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• Willing to work night shifts
• Passion for quality, attention to detail, and enthusiasm to develop deep product knowledge
• Structured thinking and experience with breaking down simple problems and driving execution
• Ability to rapidly grasp new concepts
• Ability to suggest solutions to problems and to devise new approaches to existing processes
• Ability to solve practical problems and deal with a variety of concrete variables in situations where only limited standardization exists
• Ability to interpret a variety of instructions furnished in written, oral, diagram, or schedule form
• Above average time management skills
• Demonstrates accountability for his/her duties and responsibilities

EDUCATION and/or EXPERIENCE

• At least 2 years in College
• Versed in MS Office
• Time management skills
• Demonstrates analytical and creative thinking abilities
• Effective communication skills both written and verbal