Top Tech Jobs & Startup Jobs

Develop regulatory law evaluation scenarios, reference compliance memoranda, regulatory filings, enforcement responses, and expert rubrics for AI systems. Work spans US and international regulatory frameworks, including financial services, healthcare and FDA, antitrust, privacy and cybersecurity, environmental, and energy regulation. Apply regulatory interpretation, compliance risk assessment, agency interaction, enforcement strategy, and rulemaking expertise.

Capture and evaluate natural voice interactions with an AI assistant in Brazilian Portuguese. Complete everyday tasks by voice on a Mac, transcribe and clean spoken queries, rate AI responses, record task data in tracking sheets, and upload supporting recordings. The four-week project requires native or near-native Brazilian Portuguese, English comprehension, familiarity with productivity apps, and an Apple Silicon Mac running macOS Sequoia 15.0 or newer.

Create realistic FP&A and treasury scenarios, including budgets, forecasts, variance analysis, cash-flow forecasts, cash positioning, bank administration, FX revaluation, debt compliance, and financial models. Review AI-generated outputs, assess assumptions, provide written feedback, and collaborate asynchronously with researchers.

Develops complex civil litigation and dispute-resolution evaluation tasks for AI systems. Responsibilities include creating scenarios, reference pleadings, discovery responses, motions, trial memoranda, and evaluation rubrics across commercial, class action, appellate, discovery, evidence, trial, settlement, and arbitration matters. The role requires applying US or international procedural and evidentiary rules, litigation technology, and experienced senior-litigator judgment.

Creates realistic tax compliance, provision, planning, notice-response, and controversy scenarios from professional experience. Reviews AI-generated tax outputs for technical accuracy, provides written feedback, and collaborates asynchronously with an AI research team. The role covers corporate, individual, partnership, SALT, and international tax specialties.

Creates M&A, due diligence, valuation, purchase accounting, and LBO scenarios for AI training data. Reviews AI-generated advisory analyses for accuracy, assumptions, and professional judgment, then provides written feedback to improve performance. Requires transaction advisory, corporate development, investment banking, or valuation experience; hands-on QoE, valuation, or deal-model ownership; strong writing; and a finance, accounting, or related degree. CPA, ASA, ABV, or CFA credentials are advantageous.

Performs investment operations and fund-accounting exercises, including ledger-to-statement reconciliations, NAV variance attribution, trade-break investigations, corporate-action processing, payment exception handling, and merchant or vendor descriptor matching. Produces adjusting entries, variance commentary, root-cause narratives, and other analyst deliverables. The role is contract, remote, US-based, and approximately 15 hours per week.

Design insurance policy-processing scenarios, create operational reference materials, evaluate AI-generated responses, and provide feedback on policy lifecycle accuracy. The role covers intake, binding, issuance, endorsements, billing, renewals, cancellations, reinstatements, documentation, quality control, and servicing workflows. Candidates need at least two years of policy administration, underwriting operations, insurance servicing, or premium operations experience, along with strong process discipline and knowledge of policy administration systems.

Contribute subject matter expertise to a project for a leading AI laboratory by creating challenging, high-quality domain problems and data to improve large language models. Applicants should have a PhD, advanced degree, or equivalent industry experience in a listed STEM domain, along with strong attention to detail and excellent written and verbal communication skills. The role includes a brief interview, task, and paid onboarding.

Reviews AI-generated documents, spreadsheets, and slide decks for accuracy, rigor, presentation quality, and domain-specific compliance. Evaluates outputs using quality rubrics, identifies factual and aesthetic errors, and provides structured written feedback. The role requires deep expertise in data quality and CRM operations, strong English fluency, and proficiency with Microsoft Office and Google Workspace. It is a fully remote, flexible independent-contractor engagement.