Overview
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Accounting Expert based in Brazil.
Full job description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for an Accounting Expert based in Brazil. We are seeking an experienced accounting and financial analysis professional to contribute to the development of advanced artificial intelligence systems. In this fully remote, contract-based role, you will apply your expertise to design realistic financial tasks that evaluate how AI models interpret financial data, build accurate models, and solve complex accounting challenges. You will work across financial reporting, budgeting, forecasting, reconciliations, and corporate finance to create practical assessments grounded in real-world business scenarios. Your work will also involve validating AI-generated outputs, identifying discrepancies, and developing reliable reference solutions with clear calculations and documented assumptions. Collaborating with technical contributors, you will help establish objective evaluation criteria that improve the accuracy and reliability of AI-driven financial workflows. This opportunity is ideal for a detail-oriented expert who enjoys analytical problem-solving and wants to apply their financial knowledge to the advancement of AI technology.
Design financial and accounting assessments: Develop realistic, challenging tasks based on corporate finance, accounting practices, and business operations to evaluate the capabilities of advanced AI systems. Build and validate financial models: Prepare, review, and validate financial models, operating budgets, forecasts, and cash flow projections to ensure accuracy and practical relevance. Analyze financial statements: Interpret balance sheets, income statements, cash flow statements, and supporting financial documentation to assess financial performance and identify potential issues. Perform accounting reconciliations: Create tasks involving account reconciliations, journal entry analysis, variance reporting, and the identification of discrepancies or missing transactions. Develop corporate finance scenarios: Design assessments covering financial planning, investment analysis, business valuation, and performance evaluation. Identify errors and inconsistencies: Examine financial data, calculations, formulas, and supporting documentation to detect inaccuracies, reconciliation issues, and logical inconsistencies. Create reference solutions: Produce reliable model answers with transparent calculations, clearly documented assumptions, and verifiable financial outputs to support consistent evaluation. Evaluate AI-generated financial outputs: Review AI-produced analyses and models for numerical accuracy, completeness, accounting compliance, and logical consistency. Collaborate on evaluation standards: Work with technical contributors to develop reproducible financial tasks, establish objective assessment criteria, and improve the quality of AI training and evaluation data. Requirements: Educational background: A bachelor's degree or higher in Accounting, Finance, Economics, Business Administration, or a closely related discipline. Relevant professional experience: Substantial hands-on experience in financial analysis, accounting, auditing, financial planning and analysis (FP&A), or corporate finance. Accounting and financial expertise: Strong knowledge of financial statements, accounting principles, financial reporting, and financial modeling, with the ability to apply this expertise to complex business scenarios. Financial planning and reporting: Practical experience preparing budgets, financial forecasts, account reconciliations, variance analyses, and management reports. Advanced spreadsheet skills: Proficiency in Microsoft Excel or Google Sheets, including financial formulas, data analysis, model construction, and validation techniques. Analytical and problem-solving abilities: Exceptional attention to numerical accuracy and the ability to interpret complex financial documentation, identify discrepancies, and investigate inconsistencies. Clear documentation and communication: Ability to explain financial assumptions, calculations, methodologies, and conclusions in a structured, transparent, and verifiable manner. English proficiency: Strong written English skills to document financial tasks, communicate technical findings, and produce clear evaluation materials. Professional certifications: CPA, ACCA, CFA, or another relevant professional certification is a plus. Accounting framework knowledge: Familiarity with IFRS, US GAAP, or other recognized accounting standards is advantageous. Financial systems expertise: Experience with ERP platforms such as SAP, Oracle, or NetSuite is beneficial. Additional technical skills: Familiarity with Python, SQL, Power BI, or financial automation tools is an advantage. AI evaluation experience: Previous experience developing financial assessments, validating complex analytical tasks, or reviewing AI-generated financial outputs is desirable. Benefits: Competitive compensation: Earn between $30 and $60 USD per hour, depending on expertise and experience. Fully remote work: Work remotely from Brazil, with the flexibility to contribute from your preferred working environment. Flexible contract arrangement: Part-time, contract-based engagement with an expected commitment of approximately 20 hours per week. Defined project duration: An initial two-month project, with the possibility of extension depending on project needs and performance. Immediate start: Opportunity to begin contributing as soon as possible. Meaningful technical impact: Apply your accounting and financial expertise to help improve the accuracy, reliability, and performance of advanced AI models. Challenging professional work: Engage with complex financial scenarios that combine real-world accounting practices, analytical reasoning, and emerging AI technologies. Cross-functional collaboration: Work alongside technical contributors to develop high-quality training data and objective evaluation frameworks.
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