Top Tech Jobs & Startup Jobs in Charlotte, NC

Lead budgeting, forecasting, and variance analysis while building AI-driven financial models, scenario planning, KPIs, and dashboards. Automate FP&A processes, deliver insights to senior leaders, and collaborate with cross-functional teams to improve forecast accuracy and strategic decision-making.

Provide clinical expertise to improve AI mental-health tools: annotate clinical interactions, evaluate psychotherapy datasets, design psychological testing scenarios, apply CBT frameworks, collaborate with engineers, ensure ethical standards, and drive research-backed AI improvements.

Serve as a domain expert in electrical engineering to identify and close knowledge gaps in LLMs. Collaborate with research teams to design and evaluate complex problems, provide detailed written feedback, and improve AI model performance. Remote, contractor role with weekly pay and flexible hours.

Provide real-world financial planning expertise to train and evaluate AI systems. Review scenarios, assess AI recommendations for accuracy, compliance, and suitability, document client conversations, define planning methodologies, give structured feedback, identify compliance/referral needs, and improve AI workflows and financial planning processes.

Design, implement, and optimize AI-driven solutions across the claims lifecycle (intake, investigation, adjudication). Build ML models for data extraction, fraud detection, reserve setting, subrogation, and adjudication decision engines. Collaborate with underwriting, fraud, legal, and IT to integrate models into operations and improve efficiency, accuracy, and compliance.

Design, implement, and optimize AI-powered solutions to support financial compliance and controls. Monitor GAAP/IFRS adherence, automate controls and reporting, support internal/external audits, and manage complex accounting areas like revenue recognition and lease accounting while collaborating with finance, audit, and technology teams.

Build, manage, and scale cloud infrastructure using Terraform and IaC; automate deployments; ensure system reliability and security; collaborate within a security-focused environment. Requires 5–7 years DevOps experience.

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, implement, and monitor AI/ML models to improve underwriting risk assessment, pricing, and portfolio management. Translate underwriting rules into data models, integrate models into workflows, analyze datasets for risk patterns, build decision-support tools, ensure compliance and fairness, and collaborate with underwriting, actuarial, product, and engineering teams.

Drive data-informed capital allocation by building financial models (NPV, IRR), applying AI/ML for forecasting and scenario planning, creating build-vs-buy and prioritization frameworks, implementing decision-support systems, collaborating with cross-functional stakeholders, and monitoring post-investment performance to refine allocation models.