Accounting Expert (US GAAP)

Job Title: Accounting Expert (US GAAP)

Job Type: Contract

Location: Remote

Job Summary

Join our customer's team as an Accounting Expert (US GAAP), where your accounting acumen will pave the way for next-generation AI solutions. In this remote role, you will leverage your expertise in US GAAP and disclosures, directly contributing to impactful AI training for data labeling projects. If you have a passion for accounting excellence and thrive in environments valuing top-notch written and verbal communication, we want to hear from you.

Key Responsibilities

1. Apply US GAAP expertise to review, label, and annotate financial documents for AI training purposes.
2. Utilize disclosure checklists actively to ensure comprehensive and accurate financial data review.
3. Evaluate and verify accounting data for consistency, accuracy, and compliance with the latest US GAAP standards.
4. Collaborate with a distributed team to deliver high-quality, insightful data labeling supporting AI model development.
5. Document findings, recommendations, and observations with exceptional attention to detail and clarity.
6. Contribute to the continuous improvement of project processes and best practices for data quality.
7. Communicate complex accounting concepts effectively with both technical and non-technical stakeholders.

Required Skills and Qualifications

1. Strong foundation in US GAAP with hands-on experience applying standards to real-world scenarios.
2. Experience as an accountant or auditor within the United States.
3. Demonstrated proficiency in using disclosure checklists in current assignments.
4. Exceptional written and verbal communication skills, with an ability to convey details clearly and concisely.
5. Meticulous attention to accuracy and completeness in financial data analysis.
6. Familiarity with technology-driven environments and willingness to engage in AI data projects.
7. Ability to work independently in a remote setting while collaborating across teams.

Preferred Qualifications

1. CPA, CIA, or equivalent accounting certification.
2. Prior experience with data annotation, AI training projects, or data labeling initiatives.
3. Background in process improvement or quality assurance in accounting operations.