Economists with a Master's or PhD and a year or more at a top research institution (World Bank, IMF, the Fed, a graduate school) work on a research project for a leading foundation-model AI lab. Remote contract at $120–150/hour, at least 10 hours a week for a minimum of four weeks.
Join a leading AI lab's research team as its accounting and audit specialist: review model outputs for misapplied standards, write instruction specs and golden solutions, and design benchmarks. Needs an active CPA, CA, CIA, CFE or CMA and 4+ years; bookkeeping-only roles do not count. Full-time W-2, hybrid Bay Area, $60–100/hour.
Build HR evaluation tasks for AI on a US employment-law track, an international (UK/EU) track, or both: scenarios, reference policies and investigation reports, and rubrics. For HR leaders and CHROs with 5+ years at large companies. Remote hourly contract at $70–80/hour.
Build AI evaluation tasks set inside Fortune 500 insurance: commercial underwriting, claims adjudication, reserving, reinsurance and NAIC compliance scenarios, with reference guidelines and rubrics. Needs 5+ years at a major carrier or reinsurer. $50–60/hour, remote contract.
Paid pilot for a biotech and pharma research team: create and critique rubrics that assess commercial drugs and development programs, judge investment-style theses, and assess 5–10 companies end to end. For specialist-fund biotech analysts with 5+ years. About 10–20 hours over 1–2 weeks, $120–200/hour.
Author AI evaluation tasks in budgeting, forecasting, variance analysis and capital allocation: realistic FP&A scenarios, reference models and decks, and rubrics that reward real planning judgment over template work. For FP&A directors and CFOs with 5+ years. $80–90/hour, remote contract.
Grade AI-generated slides, spreadsheets and documents to consulting standard, flagging factual, visual and presentation errors with structured written feedback. Needs 5+ years at a top firm in the US, UK, Canada, Australia or New Zealand. $100–150/hour.
Design Fortune 500 go-to-market scenarios, write reference deal strategies and campaigns, and author rubrics that test whether AI shows real enterprise sales and marketing judgment. For senior F500 sellers, marketers and RevOps leads. Remote hourly contract at $60–70/hour.
Act as ground truth for an AI lab teaching models real enterprise sales work: audit workflows, build golden reference trajectories in a mock sales stack, and refine rubrics. For sellers with around 10 years in enterprise sales. US only, $60–90/hour, placed via Cincinnatus.
Map how an upcoming catalyst should ripple through suppliers, customers, competitors and substitutes, estimate direction and magnitude from primary filings, and grade AI analyses. For senior sector PMs and lead equity analysts with 8+ years. Remote, $150–250/hour.
Full-time, on-site-hybrid role in the Bay Area: review AI output on business and sales operations tasks, write instruction specs and golden solutions, and build benchmarks with an AI lab's research team. For senior ops leaders with 4+ years. W-2 via Cincinnatus, $60–100/hour.
Predict when a named sell-side analyst will publish after a catalyst and what the note will say, reasoning only from a fixed evidence cutoff, then grade AI analyses of the same call. For former lead sell-side analysts or very senior associates in the exact sector, typically 8+ years. $150–250/hour, remote.
Read a specific non-G7 central bank's statements, minutes and speeches in the source language, score them dovish to hawkish from a fixed evidence cutoff, and grade AI macro analyses. For former central bank economists or senior local rates and FX strategists, typically 8+ years. $150–250/hour, remote.
Paid pilot for US pharma forecasters: build or critique drug launch curves and judge whether forecast assumptions (analogs, ramp, peak share, loss of exclusivity) hold up, while writing rubrics that evaluate AI analysis of drugs. 5+ years, 10–20 hours over 1–2 weeks. $130–210/hour.
Work inside a leading AI lab's research team as its insurance and actuarial specialist: QA model outputs, write instruction specs and golden solutions, and build insurance benchmarks. Needs an FSA, ASA, FCAS or ACAS, or an active adjuster, underwriting or broking licence, plus 4+ years. Full-time W-2, hybrid Bay Area, $60–100/hour.
Design marketing tasks and solutions, score AI outputs against rubrics, and refine marketing-specific evaluation guidelines for an AI lab. For marketers with 8+ years at top-tier brands or agencies and prior LLM rubric experience. US, 35+ hours a week, $60–80/hour.
Build retail merchandising, category and operations tasks, write solutions, and grade AI outputs against rubrics for an AI lab. For merchants, category managers and retail operators with 8+ years at major retailers and prior LLM rubric experience. US, 35+ hours a week, $60–80/hour.
Paid pilot for US market access and pricing professionals: set and pressure-test gross-to-net and formulary-tier assumptions by drug class, judge whether coverage and rebating assumptions match real payer behaviour, and write rubrics for AI drug analysis. 5+ years, 10–20 hours. $175–200/hour.
Full-time finance specialist embedded with a leading AI lab: QA model outputs, write instruction specs and golden solutions, and build finance benchmarks across FP&A, IB, asset management, PE, risk or treasury. 5+ years at a recognised institution, VP-level progression. W-2, hybrid Bay Area, $60–100/hour.
Coordinate the finance raters on a leading AI lab's training-data program: build tracking and escalation workflows, monitor throughput and quality, triage rater questions and keep finance tasks consistent. 5–10 years in finance or finance operations with team coordination experience. US only, 35+ hours a week, $40–60/hour.
Evaluate AI model outputs on underwriting, claims and risk reasoning against rubrics, design hard insurance tasks with worked solutions, and refine scoring guidelines. Needs 8+ years at a top-tier insurer or broker and prior hands-on LLM rubric evaluation. US only, 35+ hours a week, $60–80/hour.
Evaluate AI finance outputs against rubrics, design hard finance tasks with worked solutions, and refine scoring guidelines for a leading AI lab. Needs 8+ years at a top-tier bank, asset manager or Big Four firm plus prior hands-on LLM rubric evaluation. US only, 35+ hours a week, $65–90/hour.
QA AI-agent runs inside the Financial Forecaster planning app: check the agent used the right scenario, account, coordinate and basis, catch plausible-but-wrong answers, harden tasks and sharpen grading. Needs weekly hands-on Financial Forecaster use and 5+ years in FP&A, reporting, technical accounting or lender reporting. $70–110/hour, remote.
Full-time IB and M&A specialist embedded with a leading AI lab: vet model outputs on deal work, write instruction specs and golden solutions, and build finance benchmarks. 5+ years at a recognised institution, VP-level progression, MBA or CFA preferred. W-2 via Cincinnatus, hybrid Bay Area, $100–150/hour.
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