About The Position

24-MAG LLC is seeking experienced accounting professionals for a remote, independent-contractor consulting engagement supporting an advanced AI training and evaluation project. Selected professionals will review financial and accounting materials, assess audit and compliance workflows, evaluate models and documentation, and provide structured feedback to improve AI systems on complex finance and accounting tasks. No prior AI experience is required; practical accounting and regulatory expertise is the primary qualification. The work may cover financial reporting review, audit evaluation, financial modelling, tax compliance, regulatory analysis, and AI-output assessment. Assignments may involve financial statements, audit procedures, models, tax documentation, and related legal or financial materials. Strong accounting judgement, regulatory awareness, and clear written and verbal feedback are central to the engagement. Project scope, workflows, and evaluation requirements may evolve depending on project needs. Work is remote and limited to the United States. Compensation is $60–$120 per hour. Work must be completed without using confidential, proprietary, privileged, or otherwise restricted information belonging to an employer, client, accounting firm, financial institution, government entity, or other third party.

Requirements

  • Bachelor's degree or higher in Accounting, Finance, Economics, or a related field.
  • Substantial professional experience preparing or auditing financial statements.
  • Strong expertise in accounting, taxation, economics, and applicable regulations.
  • Strong understanding of financial reporting standards and audit procedures.
  • Experience with cost accounting and budgetary controls.
  • Practical financial-modelling and analytical-review experience.
  • Strong tax-compliance and regulatory-review capabilities.
  • Comfort reviewing financial and legal documentation.
  • Detail-oriented approach and strong commitment to accuracy and compliance.
  • Excellent written and verbal communication skills.
  • Must complete work without using confidential, proprietary, privileged, or otherwise restricted third-party information.

Nice To Haves

  • CPA, CMA, CIA, or comparable advanced certification is advantageous.
  • Experience advising on financial systems, controls, or process implementation is beneficial.
  • Prior human-data experience such as annotation, labelling, RLHF, or model evaluation is advantageous but not required.
  • Relevant professional backgrounds may include CPA, Cost Accountant, Financial Auditor, General Accountant, Internal Auditor, or Revenue Tax Specialist.

Responsibilities

  • Review financial statements and reports for accuracy, completeness, and alignment with established accounting standards.
  • Identify inconsistencies, omissions, and potential reporting issues; evaluate supporting schedules and documentation; and provide written observations on reporting quality and presentation.
  • Review and critique audit procedures across business scenarios, identify gaps and control weaknesses, and assess audit approaches for completeness and regulatory alignment.
  • Assess internal controls and financial-process design and apply practical audit judgement to accounting workflows.
  • Create and assess financial models for logical structure and accuracy; review assumptions, calculations, and outputs; identify errors or weak analytical approaches; and provide structured feedback on model quality and methodology.
  • Analyze tax-compliance practices and supporting documentation, identify compliance risks and regulatory issues, and assess relevant financial and legal documents for clarity, correctness, and regulatory alignment.
  • Review and annotate accounting-related materials used in AI training and evaluate model-generated financial and accounting outputs.
  • Deliver clear, constructive written and verbal feedback and support development and quality review of finance-focused datasets.
  • Collaborate with cross-functional contributors to maintain evaluation consistency.
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