Top Tech Jobs & Startup Jobs

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 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.

Manage content planning, creation, and publishing across social platforms; run social campaigns; upload event videos; design and deploy 1–4 weekly email newsletters using Emma; create graphics and multimedia; coordinate freelancers; conduct A/B testing and update branding and templates.

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.

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.

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.

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.

Develop and maintain checkers for competitive programming problems allowing multiple valid outputs, verify participant submissions, write clear C++ code, document logic, collaborate with customers, and provide feedback to improve test cases and checkers.

Provide mechanical engineering domain expertise to create and review technical content used to train AI systems: review documents, develop and assess questions/solutions, give written and oral feedback, collaborate cross-functionally, resolve complex engineering problems, and improve data quality while working independently.

Build and maintain operating and cash-flow models, apply AI/ML and data techniques to automate forecasts, run sensitivity and scenario analysis, translate strategy into financial outcomes, support fundraising/M&A/pricing, and create dashboards and reports for stakeholders.