Remote, project-based work for finance and accounting practitioners: design realistic multi-step finance and accounting (FP&A, financial reporting, audit procedures, reconciliations) tasks with reference files and objective grading criteria, used to measure what AI systems can do. Paid per approved task. No prior AI experience is required.
Remote contract work for senior insurance claims experts on an AI training project: review disputed-fault auto claims, property and catastrophe damage and contents valuation, and write adjuster-style determinations. No prior AI experience is required.
Remote contract work for U.S. macroeconomists on an AI training project: interpret U.S. economic releases (BEA, BLS), Treasury yield curves and Federal Reserve communications, and apply that expertise to research tasks.
Full-time role at micro1: applied research on AI financial reasoning: build evaluation frameworks and benchmarks for complex financial workflows.
Full-time role at micro1: combine M&A and corporate development work (financial analysis, due diligence, transaction support) with AI research and evaluation of financial reasoning.
Remote contract for equity research professionals: review and build datasets that model real equity research work, analyze earnings reports, revise estimates and synthesize peer benchmarking for AI training. No prior AI experience is required.
Remote contract for finance professionals on an executive-presentation project: rebuild and improve PowerPoint slides that present complex financial data and insights for investors and executives, used to train AI systems. No prior AI experience is required.
Turing invites Finance and Accounting Experts to join projects that fine-tune AI models. If you enjoy analyzing financial information, applying professional judgment, and providing clear, structured feedback, this is your chance to put your expertise to work in a new way. Your experience in accounting, investment banking, or wealth management will help shape how the next generation of AI understands and reasons about financial topics. Main tasks listed: Review and evaluate AI-generated responses to financial, accounting, valuation, and investment-related scenarios; Apply a structured rubric to assess accuracy, calculations, assumptions, reasoning, and risk awareness; Identify gaps, edge cases, and blind spots in financial analysis; Provide detailed annotations and written feedback to refine AI models.
Evaluate LLM models for areas of finance where models do not perform well. Create rubrics to assess model capabilities on specific areas of your finance expertise (such as deal analysis, M&A assessments, and more). Main tasks listed: Evaluate LLM models for areas of finance where models do not perform well; Create rubrics to assess model capabilities on specific areas of your finance expertise (such as deal analysis, M&A assessments, and more); Collaborate with AI researchers and fellow finance experts to shape training methods, evaluation strategies, and benchmarks.
This role involves creating, reviewing, and improving tasks that reflect the practical work performed by lawyers. The individual will analyze legal issues, apply laws and principles, assess the accuracy of responses, and refine outputs for clarity and usefulness. Strong legal knowledge, judgment, research skills, and attention to detail are essential. Main tasks listed: Produce high-difficulty expert tasks and gold-standard solutions in the functional area; Review and calibrate team members’ output and own day-to-day quality; Escalate genuine edge cases and rubric ambiguities to the Functional SME (Expert) Lead; Education & Experience.