AI Data Operations/Labeling Engineer - Remote

Overview

N-Power Medicine is seeking a highly motivated and skilled AI Data Operations/Labeling Engineer to play a critical role in building and optimizing our data labeling pipeline, ensuring high-quality datasets from diverse healthcare sources.

In Short

• Design and implement data labeling workflows.
• Write statistical design plans for AI datasets.
• Select and manage data labeling platforms.
• Collaborate with stakeholders to craft labeling guidelines.
• Track labeler performance and provide feedback.
• Implement quality control measures for labeling accuracy.
• Develop data pipelines for data preprocessing.
• Manage data storage and versioning for datasets.
• Integrate labeling platforms with AI tools.
• Ensure compliance with HIPAA and privacy laws.

Requirements

• BS/MSc in engineering, computer science, or relevant field.
• 5+ years of experience in AI engineering or data science.
• Strong proficiency in Python and SQL.
• Understanding of data engineering principles.
• Experience with scalable data processing frameworks.
• Excellent communication skills.
• Ability to manage human labelers.
• Knowledge of healthcare data domains preferred.
• Experience with deep learning frameworks is a plus.
• Ability to create quality assurance processes.

Benefits

• Competitive salary range of $155,000 - $183,000.
• Equity at hire and discretionary annual bonus.
• Flexible work environment.
• Comprehensive company benefits.
• 401K plan and additional perks.