Top Tech Jobs & Startup Jobs in San Francisco Bay Area, CA

Guide research teams to close knowledge gaps in Statistics for LLMs: design and evaluate complex statistical problems and solutions, and provide clear written feedback to improve AI model performance.

Design realistic, specialty-specific clinical case scenarios and gold-standard attending-level responses, evaluate and grade AI-generated outputs using structured rubrics, provide detailed written feedback to improve model clinical reasoning, and participate in onboarding, calibration, and review sessions in a fully remote, asynchronous contractor role (~20 hours/week).

Support the executive by cutting administrative workload 50% within 30 days, convert tribal knowledge into SOPs, manage weekly/6-month/2-year OKRs and org chart, configure productivity tools, proactively solve problems, and ensure clear, error-free communication across teams.

Build, manage, and scale cloud infrastructure using Terraform/IaC on AWS; automate deployment pipelines; maintain system reliability and security for a real-time data detection platform.

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.

Analyze and classify technical content for security vulnerabilities, apply pattern recognition to improve AI model threat detection, design and evaluate security problems, and collaborate asynchronously with domain experts to produce high-quality outputs.

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.