Jobs at Anyone AI

Create tax research, calculation, compliance, and evaluation tasks for AI agents. Develop original tax scenarios and reference solutions involving corporate income tax, indirect taxes, withholding, reconciliations, and related areas. Prepare accurate calculations, workpapers, supporting schedules, and authoritative citations. Evaluate agent performance, identify jurisdictional and factual errors, and assess unsupported deductions or outdated rules.

Create realistic financial reporting tasks and reference solutions for AI agents. Prepare scenarios involving financial statements, consolidation, cash flow reporting, disclosures, intercompany eliminations, foreign currency translation, and technical accounting. Evaluate agent outputs for accuracy, completeness, presentation, accounting compliance, and reporting-tool usage. Identify errors, omissions, inconsistencies, and unsupported conclusions in reporting workflows.

Designs audit workflow tasks for AI agents, develops reference solutions, and evaluates agent performance using financial records, audit documentation, spreadsheets, and analytical tools. Responsibilities include assessing risk, materiality, controls, testing, sampling, evidence sufficiency, professional skepticism, documentation quality, financial statement assertions, exceptions, and conclusion support.

Create accounting workflow tasks and reference solutions for AI agents. Evaluate bookkeeping, journal entries, accounts payable and receivable, reconciliations, financial statements, transaction classification, discrepancy correction, period-end adjustments, and accounting software usage. Define accuracy and traceability criteria, identify accounting errors, and document accounting treatments. The role is remote, project-based, and flexible.

Create realistic public accounting tasks and reference solutions, then evaluate AI agents completing bookkeeping, adjusting entries, trial balances, financial statements, reconciliations, and client accounting workflows. Develop scoring criteria for technical accuracy, documentation, consistency, and client communication. Assess how agents handle incomplete records, misclassifications, missing information, accounting judgments, and clarification requests using spreadsheets, accounting platforms, and supporting documents.

Develop and evaluate AI-agent tasks focused on budgeting, forecasting, variance analysis, cash flow planning, unit economics, and scenario modeling. Build transparent reference financial models, document assumptions, reconcile outputs, and assess analytical accuracy. Identify modeling errors, inconsistent assumptions, double counting, and unsupported conclusions. The role requires strong FP&A expertise, financial statement knowledge, advanced spreadsheet skills, and clear written communication.

Create corporate accounting tasks and reference solutions covering journal entries, reconciliations, accruals, prepayments, intercompany transactions, and month-end close. Evaluate AI agents’ accounting work for accuracy, completeness, documentation, compliance, errors, and audit-trail quality using spreadsheets, accounting software, and financial records.

Design realistic marketing tasks and reference solutions for AI evaluation, covering campaign analysis, market research, strategy, performance reporting, and marketing assets. Develop evaluation criteria, review AI-generated work for accuracy and execution quality, and collaborate with reviewers to improve task consistency. The role requires practical experience in areas such as growth, performance, product, content, research, or marketing analytics, along with strong analytical and written communication skills.

Design and validate electrical engineering tasks for AI training and evaluation. Create schematics, PCB layouts, circuit designs, calculations, simulations, technical documentation, and reproducible reference solutions. Review AI-generated engineering work for accuracy, identify design faults and inconsistencies, and establish objective evaluation criteria. The role requires practical expertise in circuit theory, electronics development, PCB design, simulation tools, and electrical systems, along with strong technical communication skills.

Design and validate realistic mechanical engineering tasks for AI training and evaluation. Create and review CAD models, assemblies, technical drawings, specifications, calculations, and simulation outputs. Assess mechanical designs, materials, tolerances, manufacturing constraints, and engineering feasibility. Develop traceable reference solutions, identify errors and failure risks, review AI-generated technical work, and establish objective evaluation criteria.

Design and validate realistic financial analysis and accounting tasks for AI training and evaluation. Build financial models, forecasts, budgets, cash flow projections, reconciliations, journal entry analyses, and variance reports. Analyze financial statements, identify discrepancies and errors, create transparent reference solutions, and review AI-generated financial outputs for accuracy and consistency. Collaborate with technical contributors to establish reproducible tasks and objective evaluation criteria.

Design and validate realistic legal research, contract analysis, litigation support, and regulatory review tasks for AI evaluation. Analyze legal documents, statutes, regulations, case law, and contractual provisions; identify risks and inconsistencies; prepare research summaries and reference solutions; assess citations and AI-generated legal analyses; and establish objective evaluation criteria while protecting confidentiality and privilege.

Design and validate realistic 3D modeling, animation, rendering, and visual effects tasks for AI training and evaluation. Create and modify models, materials, textures, lighting, rigs, animations, and scenes; validate technical specifications and project files; review AI-generated assets for visual and technical accuracy; define objective evaluation criteria; and document reproducible creative workflows.

We seek Quantitative Finance Experts to train and evaluate AI models, ensuring accuracy in AI-generated responses through extensive analytical review.

Design rigorous, deterministic advanced mathematics problems and verified solutions to evaluate and train state-of-the-art AI models. Produce reproducible computational workflows (using Python and scientific libraries), document clear reasoning in English, and create problems that test deep mathematical reasoning rather than memorization. Contract, part-time role (20 hrs/week) with immediate start.

Design and own frontier evaluation methodology and benchmarks for LLMs across reasoning, coding, agents, tool use, and multi-modal tasks. Build expert-verified benchmark packages, recruit and calibrate subject-matter experts, act as technical liaison to labs, and deliver lab-ready pilot evaluation packages with rigorous QC and validation.