Data Labeler

Summary

Join our team as a Data Labeler and contribute to the development of accurate machine learning algorithms. You will analyze and annotate large datasets, ensuring high-quality labeled data that meets project requirements. Collaboration with data scientists is key to success in this role. Responsibilities include reviewing and analyzing data, using labeling tools, identifying inconsistencies, and maintaining accurate records. The ideal candidate possesses strong attention to detail, organizational skills, and the ability to work both independently and as part of a team. This position offers the opportunity to work in an office or remote environment.

Requirements

• High school diploma or equivalent required
• Attention to detail and ability to work accurately and consistently
• Strong organizational and time management skills
• Ability to work independently or as part of a team
• Good communication skills and ability to follow instructions
• Willingness to learn and adapt to new technologies and software

Responsibilities

• Review and analyze data sets to identify and label patterns, objects, and events according to project specifications
• Use various tools and software to label and annotate data accurately and consistently
• Collaborate with data scientists to ensure that the labeled data meets quality standards and project requirements
• Identify and report issues and inconsistencies in the data sets
• Participate in training sessions to ensure you have a thorough understanding of the labeling criteria and the project goals
• Maintain accurate records of labeled data and ensure that it is stored securely
• Meet project deadlines and work efficiently to label large amounts of data within the required timeframe

Preferred Qualifications

• Bachelor's degree in a relevant field preferred
• Experience with data entry or data analysis preferred
• Familiarity with basic computer programs such as Microsoft Excel

Benefits

Work is performed in an office or remote environment