[Hiring] Data Labeling Specialist @Authenticx

Role Description

The Data Labeling Specialist is responsible for carefully reviewing healthcare-related conversations to determine whether a safety event has occurred. This role is highly transactional and relies on consistently applying a well-defined rubric to ensure accurate and objective identification of safety-related concerns. Your work is critical in supporting healthcare clients in maintaining compliance and improving outcomes. This role requires high accuracy and attention to detail while labeling high volumes of patient conversations.

Key Responsibilities

• Evaluate a high volume of healthcare-related conversations, using established rubrics to determine the presence or absence of safety events.
• Apply clearly defined labeling criteria with consistency and discipline to ensure reliability in safety event detection.
• Deliver precise and objective reviews that align with expectations for labeling accuracy, supporting broader data integrity.
• Participate in calibration efforts with teammates to promote labeling alignment across the team.
• Incorporate feedback from audits and performance checks to continually refine review accuracy and consistency.
• Consistently apply rubric criteria to produce high-quality, objective safety labels validated through regular audits.
• Achieve strong alignment with team standards and calibration practices.
• Meet or exceed performance targets for daily and weekly review volumes while maintaining quality benchmarks.
• Demonstrate reliability and consistency in handling high-volume, repetitive work while maintaining accuracy.

Key Skills and Abilities

• Strong ability to apply standards without bias or interpretation, even under repetitive conditions.
• Exceptional focus on minute details to ensure safety flags are accurately identified.
• Comfort and discipline in working within a structured rubric-based decision framework.
• High tolerance for performing repetitive tasks at scale while maintaining focus and precision.
• Ability to assess edge cases within rubric guidelines to make consistent, sound judgments.
• Motivated by accuracy and the importance of contributing to patient safety through diligence and care.
• Capable of documenting decisions clearly and concisely when necessary.

Qualifications

• 1-3 years of experience in customer support, health care, compliance, quality assurance or similar fields.
• Strong analytical and critical thinking skills.
• Ability to perform repetitive tasks with high attention to detail.
• Experience in data labeling, transcription review, AI development or working with AI data is a plus.
• Experience with pharmacovigilance is especially welcome.

Requirements

• Ability to manage time efficiently, balancing multiple projects and meeting tight deadlines.
• Experience working cross-functionally with other teams (e.g., AI, data science) to achieve shared goals.
• Strong problem-solving skills to identify inconsistencies or issues in labeling and find effective solutions.
• Ability to adapt to changing priorities and project requirements.
• Strong written communication skills to clearly document rubrics and provide detailed feedback during audits.
• Familiarity with data labeling software, spreadsheets, or other data management tools.

Work Environment

• This is a remote / virtual position.

Physical Demands

• Regularly required to sit and use hands to type and operate a computer and phone.
• Frequently required to talk and hear.
• Occasionally required to stand and walk.
• Must occasionally lift and/or move up to 25 pounds.
• Occasionally required to reach with hands and arms, stoop, kneel, or crouch.