Top Tech Jobs & Startup Jobs in NYC, NY

Serve as the internal customer advocate and pre-sales technical lead for finance-focused enterprise deals. Configure complex billing, pricing, metering, invoicing, and revenue recognition workflows; build demo environments; engage finance leaders; support RFPs and sandbox configurations; document solutions and handoffs; feed product and engineering with customer insights.

PhD-level physicists will design challenging graduate-level physics problems and contribute high-quality datasets to improve AI model reasoning, ensuring scientific rigor and consistency while collaborating remotely and asynchronously.

Design and review consulting-style prompts, structured answers, and evaluation criteria to benchmark AI outputs against consulting frameworks. Provide structured feedback on clarity, logic, and business rigor. Conduct online research and synthesize insights to support evaluations and improve model alignment. Work remotely as an independent contractor on a flexible, part-time engagement.

Contract role combining actuarial science, risk management, and AI to improve portfolio performance. Responsibilities include loss and combined ratio analysis, portfolio risk assessment, catastrophe and exposure modeling, stress testing, and integrating ML to enhance pricing, reserving, and risk selection while collaborating with underwriting, finance, and product teams.

Work with research teams to close mathematical knowledge gaps in LLMs by creating and evaluating advanced math problems and solutions, and providing clear written feedback to improve AI model performance. Remote, part-time independent contractor role (15-20 hrs/week) with potential extension.

Validate and stress-test AI-generated insurance outputs across pricing, reserving, underwriting, and risk models. Review actuarial projections for accuracy and regulatory compliance, provide structured feedback, tag content by insurance domain, and support benchmarking of AI capabilities. Work remotely as an independent contractor on a part-time, short-term project.

Lead AI-enabled financial planning and strategic analysis, build data-backed business cases, refine unit economics, deliver executive-level insights, integrate ML into FP&A, and track KPIs to drive profitability and strategic decisions.

Design and implement AI/NLP solutions to automate insurance policy administration (issuance, endorsements, renewals). Translate policy language into models and rule engines, integrate with PAS, ensure regulatory compliance, monitor model performance, and support underwriting, operations, and exception handling.

Lead architecture and delivery of real-time stream-processing pipelines using Apache Flink and Java. Design scalable, event-driven, low-latency systems; optimize performance and reliability; deploy and manage cloud/containerized services; enforce CI/CD, testing, and observability; troubleshoot production issues; collaborate with cross-functional teams; and mentor engineering teams.

Review, validate, and refine AI-generated accounting analyses, audit reports, and financial statements for compliance with GAAP/IFRS. Tag content, provide structured feedback on accuracy and clarity, and support benchmarking of AI model performance in financial domains.