Data Labeling Specialist
Position Summary
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
- Conversation Review: Evaluate a high volume of healthcare-related conversations, using established rubrics to determine the presence or absence of safety events.
- Rubric Adherence: Apply clearly defined labeling criteria with consistency and discipline to ensure reliability in safety event detection.
- Quality and Accuracy: Deliver precise and objective reviews that align with expectations for labeling accuracy, supporting broader data integrity.
- Team Collaboration: Participate in calibration efforts with teammates to promote labeling alignment across the team.
- Feedback Adoption: Incorporate feedback from audits and performance checks to continually refine review accuracy and consistency.
Success Criteria:
- 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:
- Objectivity: Strong ability to apply standards without bias or interpretation, even under repetitive conditions.
- Attention to Detail: Exceptional focus on minute details to ensure safety flags are accurately identified.
- Rubric-Driven Thinking: Comfort and discipline in working within a structured rubric-based decision framework.
- Repetition Tolerance: High tolerance for performing repetitive tasks at scale while maintaining focus and precision.
- Critical Thinking: Ability to assess edge cases within rubric guidelines to make consistent, sound judgments.
- Quality Mindset: Motivated by accuracy and the importance of contributing to patient safety through diligence and care.
- Written Communication: 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.
Work Environment
The work environment characteristics described here are representative of those an employee encounters while performing the essential functions of this job.
- This is a remote / virtual position
Physical Demands
The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. While performing the duties of this job, the employee:
- Is regularly required to sit and use hands to type and operate a computer and phone
- Is frequently required to talk and hear
- Is occasionally required to stand and walk
- Must occasionally lift and/or move up to 25 pounds
- Is occasionally required to reach with hands and arms, stoop, kneel, or crouch
Other
- Time Management: Ability to manage time efficiently, balancing multiple projects and meeting tight deadlines.
- Team Collaboration: Experience working cross-functionally with other teams (e.g., AI, data science) to achieve shared goals.
- Problem-Solving: Strong problem-solving skills to identify inconsistencies or issues in labeling and find effective solutions.
- Adaptability: Ability to adapt to changing priorities and project requirements.
- Written Communication: Strong written communication skills to clearly document rubrics and provide detailed feedback during audits.
- Technical Aptitude: Familiarity with data labeling software, spreadsheets, or other data management tools.
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