The Finance & Accounting roles open on DataAnnotation today. For the same field across every platform, see all Finance & Accounting jobs.
Pay figures cover the 19 open jobs that publish an hourly rate in USD. They are published rates, not a guarantee of income. Last checked on October 8, 2026.
This role involves evaluating and improving AI models' accounting capabilities by grading their responses against real-world accounting standards and practices. Accountants will write test prompts, review AI outputs for errors in bookkeeping and tax scenarios, and provide correct answers with detailed explanations to help train the models.
This role involves evaluating and validating actuarial models built by AI systems, assessing their reserves, pricing methodologies, and underlying assumptions. You will verify calculation methods, identify shortcomings, and provide documented analysis that ensures actuarial rigor meets professional standards.
A corporate accountant evaluates AI model outputs on financial accounting tasks, checking for errors in GAAP treatment, consolidations, and month-end closing procedures. You will draft test prompts, review AI-generated entries for mistakes, and provide correct treatments with clear working papers for training purposes.
A Credit Analyst evaluates AI-generated credit analyses to identify hidden default risks and validate underwriting decisions. You will assess cash-flow coverage, leverage ratios, covenants, and collateral while writing credit decisions that serve as training data for machine learning models.
This role involves evaluating and correcting AI-generated equity research notes on public companies, ensuring that financial models, valuations, and investment theses are internally consistent and meet professional standards. Candidates will review estimates and write-ups, reconcile discrepancies between models and narratives, and produce publishable research notes with sell-side rigor.
This role involves evaluating financial models built by AI systems on real corporate scenarios, checking the validity of valuation assumptions and accounting mechanics, and writing authoritative analyses that demonstrate sound finance practices. You will stress-test three-statement models, DCF analyses, and working capital logic to identify errors and provide corrections that meet professional standards.
As a Financial Reporting Manager, you will evaluate AI-generated financial reporting and technical accounting work for accuracy under US GAAP standards, identifying errors in revenue recognition, lease accounting, business combinations, and SEC disclosures. You will review AI outputs for misapplied standards and missing disclosures, then write correct memos and documentation with proper citations when needed.
Evaluate financial planning and forecasting models created by AI systems, identify logical flaws and unrealistic assumptions, and write corrected analyses that finance teams can present to business stakeholders. This role is for experienced FP&A professionals who can distinguish between superficially polished models and those with sound underlying logic.
This role involves evaluating AI systems that price insurance risks and make claims decisions by reviewing underwriting logic, policy language interpretation, and risk assessment. Insurance professionals will verify whether AI models correctly apply underwriting principles, pricing models, and policy terms, then provide written feedback to improve model training.
Review and evaluate AI-generated investment banking deal analysis, including valuation models, transaction mechanics, and M&A structures. Provide expert feedback and corrections to train AI models on real banking standards and practices.
Evaluate investment theses and portfolio allocations built by AI models, identifying risks and construction flaws that algorithms miss. Write detailed assessments that teach AI systems how professional capital allocation actually works. This role is for experienced investment professionals who can catch what models overlook.
Evaluate and critique AI-generated private equity LBO models and financial diligence by underwriting deals as if personal capital were at stake. Assess entry and exit multiples, debt structures, and return drivers, then provide written feedback that teaches AI systems how real private-market transactions are analyzed. This role is for finance professionals with transaction experience who can identify model shortcomings and articulate investment-committee-level judgments.
A public accountant evaluates AI-generated audit and assurance work against accounting standards to catch flawed reasoning, unsupported conclusions, and misapplied procedures. You'll design audit scenarios, review AI responses for compliance with GAAP and GAAS, and write correct approaches when the model's work falls short.
This role involves stress-testing AI models' financial reasoning by writing prompts that probe quantitative analysis and evaluating their outputs for errors in pricing, risk assessment, portfolio construction, and statistical modeling. You will review AI-generated financial analysis for flaws in derivations and model application, and write correct analyses to serve as training data.
As a Tax Accountant, you will evaluate AI-generated responses to tax questions by checking them against current tax code, identifying errors such as outdated provisions and missed phaseouts, and writing correct treatments with clear reasoning. This role is for experienced tax professionals who can verify AI work before it reaches tax returns.
Evaluate AI models' reasoning about financial markets, trading strategies, and execution mechanics. You'll assess whether AI-generated trading approaches account for real-world factors like liquidity, spreads, and slippage, then write detailed explanations to improve model training.
This role involves evaluating AI-generated treasury and liquidity analysis to ensure accurate cash forecasting, risk management, and funding strategies. The analyst reviews model outputs for cash positioning, hedging decisions, and working capital timing, then provides expert corrections and explanations that serve as training data for improving AI treasury models.
Evaluate AI-generated startup diligence reports and market analyses to distinguish venture-scale opportunities from small businesses. Write investment memos that teach AI models how early-stage funding decisions are actually made, focusing on market sizing, unit economics, and team assessment.
Evaluate and improve AI-generated financial plans for wealth management by assessing suitability, tax implications, and retirement or estate planning logic. Provide corrections and sound advice when AI models produce inadequate guidance, helping train models to generate better personal-finance recommendations.
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FAQ
19 DataAnnotation Finance & Accounting jobs are open on SideHustler today. Listings are rechecked against the official postings: the latest check on this list was on October 8, 2026.
Among the 19 open roles that publish an hourly rate in USD, pay runs from $40 to $125 per hour, with a median of $83. These are the rates the platforms publish, not a guarantee of income or hours.
The most requested areas of expertise on these listings are Financial Analysis, Financial Modeling, Risk Management, Valuation, Accounting. Each listing states its own requirements.
You apply on DataAnnotation: create an account, take the qualification assessment for your field, then pick up paid projects when you qualify.
Apply now opens the official posting on the platform, where you complete the application. You need no account on SideHustler. To see which roles fit your background first, add your resume and every open job is scored against your profile.
