Job Summary:

As a Data Labeler, you will be responsible for analyzing and annotating large amounts of data to enable machine learning algorithms to accurately identify patterns and make predictions. You will work closely with the data science team to ensure that the labeled data is high quality and meets project requirements.

Key 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.

Qualifications:

- High school diploma or equivalent required. 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.
  - 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.