Data Operations Associate (Night Shift)

Company Description

RagaAI Inc. is a leading AI testing platform designed to help enterprises mitigate AI risks and ensure their models are secure and reliable. By addressing the inefficiencies and risks of traditional ad-hoc testing methods, RagaAI offers an end-to-end solution for seamless AI model development. Our platform empowers businesses to strengthen their AI development pipelines and prevent costly post-deployment issues. With a focus on enhancing productivity and reducing risks, RagaAI is revolutionizing AI integrity for enterprises worldwide. Learn more at www.raga.ai.

Job Title: Data Operations Specialist (Healthcare Focus)

Company: RagaAI, Inc.

Role Overview

RagaAI is looking for a detail-oriented and tech-savvy Data Operations Associate to manage, label, and transform internal datasets with a strong focus on healthcare data. This role plays a critical part in maintaining data integrity across multiple systems—including back-end platforms, Electronic Health Records (EHRs), and large-scale spreadsheets.

A significant portion of this role involves data labeling and tagging, where you will identify patterns, correct inconsistencies, and prepare high-quality datasets for analytics and AI model training.

Key Responsibilities

Multichannel Data Entry: Accurately enter and validate data across back-end applications, EHR systems, and cloud-based platforms.

Data Labeling & Tagging: Review healthcare-related text and image datasets, apply accurate labels, identify anomalies, and flag inconsistencies.

Spreadsheet Management: Create, maintain, and audit large datasets using Microsoft Excel and Google Sheets, leveraging advanced functions such as VLOOKUP, Pivot Tables, and conditional logic.

Data Cleaning & Transformation: Clean raw datasets by removing duplicates, correcting formatting issues, and converting data into structured, analysis-ready formats.

Quality Assurance: Conduct routine data audits to ensure accuracy, consistency, and compliance with healthcare and data governance standards.

Required Skills & Qualifications

Experience: 1+ year of experience in data operations, data entry, or data annotation.

Technical Skills: Advanced proficiency in Microsoft Excel and Google Sheets.

Systems Exposure: Hands-on experience working with back-end systems and/or EHR platforms.

Analytical Ability: Strong attention to detail with the ability to identify and resolve errors in large datasets efficiently.

Healthcare Exposure (Preferred): Familiarity with medical terminology, HIPAA compliance, or clinical workflows is a plus.

Preferred Attributes

Exceptional attention to detail—accuracy and precision are critical.

Ability to work independently with minimal supervision.

Strong organizational and time-management skills to handle multiple data streams effectively.

Salary - 20k Per month