• Accurately and timely post cash payments received from various sources, including insurance companies, patients, and other payers, into the billing system. • Conduct thorough cash posting and denial posting processes, ensuring accuracy and adherence to established procedures. • Reconcile accounts and resolve discrepancies in cash postings to ensure accurate financial records. • Maintain a comprehensive understanding of US payer contracts, EOB/ERA codes, and adjustments to accurately apply payments and adjustments. • Stay updated with changes in reimbursement policies, payer contracts, and industry regulations related to cash posting. • Maintain documentation of cash posting processes, procedures, and payer-specific guidelines. • Participate in team meetings and provide input for process improvement initiatives.

• We are looking for a Mid-level QA Analyst to work with our technology and operations teams. • Your main mission will be to have full command of our operations team's responsibilities, understand the systems in use and map improvement opportunities. • Master the business characteristics of bancarization (banking) and securitization. • Plan and execute manual and automated tests (API, integration, and regression). • Write and maintain clear, well-organized test cases using QA management tools. • Test our APIs and partner integrations, validating end-to-end flows. • Define and track quality metrics: production bug rate, test coverage, regression time, bugs by severity. • Actively participate in sprint ceremonies, collaborating on acceptance criteria and validating deliveries with the development team. • Create process automations using AI tools, always seeking to automate day-to-day tasks not yet addressed by our systems.

• Evaluate AI-generated images to ensure: - Correct scale and proportions - Accurate product structure and details (e.g., arms, blades, components) - Consistent and realistic color, material, and finish - Proper placement within room or lifestyle settings • Ensure images meet brand, client, and industry standards • Approve images that meet quality standards for client delivery • Reject images with major inaccuracies or structural issues • Apply quick fixes to minor issues (within a maximum of 5 minutes per image) • Perform light editing tasks such as: - Adjusting dimension arrows and labels - Fixing minor alignment issues - Removing small visual artifacts or inconsistencies • Ensure all edits maintain realism and product accuracy • Identify recurring quality issues in AI outputs • Provide structured feedback to improve: - AI prompts - Image generation workflows • Collaborate with internal teams to enhance output quality over time

• Conduct audits of AI-generated outputs across large-scale deployments to ensure data accuracy, formatting consistency, and logical flow. • Monitor active AI agents and automation workflows; identify, diagnose, and resolve technical bottlenecks or API-related failures. • Collaborate with internal teams and clients to identify operational gaps and implement technical fixes that enhance tool reliability and user experience. • Utilize platforms such as Cursor and Claude to refine existing code, troubleshoot logic, and implement technical fixes that enhance tool reliability.