• Data Labeling SME

    Insight Global (Louisville, KY)


    Job Description

    We are seeking a data labeling SME. The Data Labeling Subject Matter Expert will be responsible for overseeing and ensuring the accuracy and quality of data labeling processes. This role requires a deep understanding of HIPPA, PII, and data annotation techniques, tools, and best practices. The targeted pay range is $50-65/hour.

     

    We are a company committed to creating inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity employer that believes everyone matters. Qualified candidates will receive consideration for employment opportunities without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, disability, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to Human Resources Request Form (https://airtable.com/app21VjYyxLDIX0ez/shrOg4IQS1J6dRiMo) . The EEOC "Know Your Rights" Poster is available here (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .

     

    To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/ .

     

    Skills and Requirements

     

    - 3 years professional in Data Labeling

     

    - Knowledge of identifying HIPPA and PII in the data labeling process.

     

    - Professional experience providing technical expertise and support in the selection and implementation of data labeling tools and platforms.

     

    - Ability to Conduct quality assurance checks on labeled data to ensure consistency and accuracy.

     

    - Experience having trained and mentored team members on data labeling processes and best practices.

     

    - Previous experience in developing and implementing data labeling guidelines, standards, and best practices.

     

    - Prior healthcare industry experience. - Previous professional working experience with BIG ID as an automated tool for Data Identification and Labeling