AI Operations Analyst at Integral… · San…

Summary: Integral Privacy Technologies is an early-stage AI compliance company focused on improving healthcare data governance. The AI Operations Analyst role involves ensuring data quality and compliance, working with AI models, and supporting customer implementations. Responsibilities: - Label and annotate unstructured healthcare data (clinical notes, voice transcripts, images) to train and improve our AI/ML models. Your work directly determines model quality - Test and evaluate outputs from our AI products; identify edge cases, errors, and inconsistencies; and document findings clearly for engineering and product teams - Perform quality checks across our data products to ensure accuracy, completeness, and consistency before customer delivery - Support customers by reviewing and validating their data pipelines, ensuring data flows are complete, accurate, and functioning end-to-end - Analyze datasets for adherence to healthcare data regulations (HIPAA and related standards) and emerging AI compliance frameworks, flagging issues and collaborating to resolve them - Assist Implementation Leads on onboarding projects—coordinating tasks, tracking milestones, and helping ensure a smooth customer experience - Help build and refine internal playbooks, QA checklists, and labeling guidelines that the team can rely on as we scale Required Qualifications: - Bachelor's degree (or equivalent experience) — recent graduates encouraged to apply - Detail-oriented, with a genuine ability to spot patterns, inconsistencies, and gaps in data - Comfortable operating in ambiguous, fast-moving environments where processes are still being built - Strong written and verbal communication skills — you'll surface findings clearly to both technical and non-technical teammates - Analytical mindset — you enjoy digging into datasets and thinking critically about what you're seeing - Proficiency in Excel or Google Sheets; comfort working with data - Collaborative and low-ego — happy to contribute wherever needed and learn from those around you - An ownership mentality — you follow through, flag problems early, and don't wait to be told what to do next Preferred Qualifications: - Coursework or interest in AI, machine learning, data science, or health informatics - Familiarity with healthcare data concepts (HIPAA, EHRs, clinical data types) - Experience with tools like SQL, Python, or data visualization platforms - Prior internship or project experience in a SaaS, healthcare tech, or data-focused environment - Exposure to QA, testing, or compliance processes in any context Required Skills: Data Labeling, Annotation of unstructured healthcare data, AI/ML Product Quality Assurance, Data Product Quality Assurance, Data Pipeline Validation, Healthcare Data Compliance Analysis, HIPAA Compliance, Excel, Google Sheets Benefits: Equity in a high-growth healthcare technology company, Comprehensive health, dental, and vision insurance, New hire work stipend, Daily company-provided lunches, Monthly wellness reimbursement, Quarterly team offsites and semi-annual full company offsite, Professional development opportunities and conference attendance