Data Labeling SME: HIPAA/PII Expert & QA Lead

Insight Global; Louisville (KY); On-site; USD 69,000 - 90,000; Full time

Job summary

Insight Global is seeking a Data Labeling Subject Matter Expert to oversee and ensure the accuracy and quality of data labeling efforts. The role requires deep knowledge of HIPAA, PII, and various annotation techniques and tools.

Eligible candidates will work across data labeling tasks and ensure high-quality outputs, with a focus on compliance and best practices. This position emphasizes mentorship and setting labeling guidelines within healthcare-related data environments.

Qualifications

• 3 years of professional experience in data labeling.
• Knowledge of identifying HIPAA and PII in data labeling processes.
• Experience providing technical expertise in selection and implementation of data labeling tools and platforms.
• Ability to conduct quality assurance checks on labeled data for consistency and accuracy.
• Experience training and mentoring team members on data labeling processes and best practices.
• Experience developing data labeling guidelines and best practices.

Responsibilities

• Oversee and ensure accuracy and quality of data labeling processes.
• Support selection and implementation of data labeling tools and platforms.
• Conduct quality assurance checks on labeled data for consistency and accuracy.
• Train and mentor team members on data labeling processes and best practices.

Skills

Data labeling

HIPAA awareness

PII identification

Tool selection & implementation

Quality assurance

Mentoring teammates

Tools

BIG ID

Job description

Insight Global is seeking a Data Labeling Subject Matter Expert to oversee and ensure the accuracy and quality of data labeling efforts. The role requires deep knowledge of HIPAA, PII, and various annotation techniques and tools.

Eligible candidates will work across data labeling tasks and ensure high-quality outputs, with a focus on compliance and best practices. This position emphasizes mentorship and setting labeling guidelines within healthcare-related data environments.