Team Red Dog is hiring a Data Analyst – AI Training Data & Azure Operations for our client, a global technology leader and AI-driven technology organization. This role supports an applied science team developing AI models for Windows and devices, with a focus on OCR (Optical Character Recognition) processing, Azure cloud storage, data quality assurance, and large-scale dataset management. You'll monitor data processing workflows, validate document and text datasets, maintain accurate metadata, and collaborate with engineers and applied scientists to ensure high-quality data is ready for AI model training. This is an opportunity to gain hands-on experience with AI training data operations while contributing to innovative, next-generation technology.
Top Required Skills (Must Haves):
- Data Analysis & Quality Assurance – Minimum 2 years of hands-on experience in data analysis, data operations, data quality assurance, or dataset management, including validating data accuracy, completeness, consistency, and integrity.
- Cloud Storage & File Management – Hands-on experience managing cloud-based files and datasets, including uploads, downloads, folder organization, file transfers, and troubleshooting. Experience with Microsoft Azure Storage is highly desirable.
- Document & Data Formats – Experience working with PDF, text, CSV, and JSON files, including reviewing data outputs, validating metadata, identifying discrepancies, and maintaining organized datasets.
- Workflow Monitoring & Issue Resolution – Experience using existing dashboards, processing tools, and logs to monitor workflows, investigate exceptions, document issues, and coordinate resolutions.
Opportunity Overview:
Join an applied science team at the forefront of AI innovation, where research, engineering, and production come together to develop intelligent models supporting Windows and devices. In this role, you'll help build and maintain the high-quality datasets essential to training AI models, gaining valuable exposure to AI data operations, OCR processing, and Azure cloud technologies. Working alongside engineers and applied scientists, you'll contribute to confidential, cutting-edge initiatives while strengthening your expertise in data quality, operational efficiency, and large-scale dataset management.
How you will make an impact:
- Monitor existing OCR processing pipelines, tracking job status, completion rates, processing queues, and failed or stalled batches.
- Review processing logs and reports, investigate exceptions, perform documented recovery procedures, and escalate technical issues to engineering teams.
- Validate OCR-generated outputs against source documents, identifying missing pages, duplicate records, formattin