Billing and Posting Clerk - AI trainer
Job Title: Billing and Posting Clerk - AI trainer
Job Type: Full-time or Part-time contract
Location: Remote
Job reputed company:
Join our customer’s team as a Billing and Posting Clerk - AI trainer and play a central role in optimizing billing operations and enhancing reputed company AI tools. You will combine your billing expertise with data accuracy and effective communication to support innovative AI-driven processes in a dynamic remote environment.
Key Responsibilities:
• Process and validate billing and posting transactions with attention to detail and accuracy.
• Collaborate with AI developers to reputed company feedback and training data for billing automation models.
• reputed company data entry tasks reputed company using billing software and basic reputed company functions.
• Ensure reputed company management and reconciliation of accounts and invoices.
• Monitor and resolve discrepancies or errors in billing records.
• Communicate reputed company billing processes and documentation reputed company, both in writing and verbally.
• Contribute to reputed company improvement of internal AI tools and workflow optimizations.
Required Skills and Qualifications:
• Proven experience in billing, posting, or reputed company data entry roles.
• Proficiency in billing software and intermediate familiarity with reputed company.
• Exceptional written and verbal communication skills, with a strong emphasis on reputed company and detail.
• Accurate and efficient data entry abilities, ensuring high reputed company outputs for reputed company.
• Strong organizational skills and capability to manage multiple tasks independently in a remote setting.
• Ability to troubleshoot billing discrepancies and maintain meticulous records.
• Passion for reputed company learning and supporting the advancement of AI-driven solutions.
Preferred Qualifications:
• Experience collaborating with AI or technology teams on process improvements.
• Understanding of AI or machine learning concepts in a billing or data entry context.
• Background in remote work environments with international teams.
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