Billing and Posting Clerk - AI trainer

🌍 Remote, USA 🎯 Full-time 🕐 Posted Recently

Job Description

Job Title: Billing and Posting Clerk - AI trainer

Job Type: Full-time or Part-time contract

Location: Remote

Job Summary:

Join our customer’s team as a Billing and Posting Clerk - AI trainer and play a central role in optimizing billing operations and enhancing next-generation 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 provide feedback and training data for billing automation models.
  • Perform data entry tasks efficiently using billing software and basic Excel functions.
  • Ensure timely management and reconciliation of accounts and invoices.
  • Monitor and resolve discrepancies or errors in billing records.
  • Communicate complex billing processes and documentation clearly, both in writing and verbally.
  • Contribute to continuous improvement of internal AI tools and workflow optimizations.
    Required Skills and Qualifications:
  • Proven experience in billing, posting, or related data entry roles.
  • Proficiency in billing software and intermediate familiarity with Excel.
  • Exceptional written and verbal communication skills, with a strong emphasis on clarity and detail.
  • Accurate and efficient data entry abilities, ensuring high quality outputs for AI training.
  • 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 continuous 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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