Top Tech Jobs & Startup Jobs in NYC, NY

Manage end-to-end procurement contract lifecycle: draft, review, negotiate, and execute NDAs, MSAs, SOWs, and order forms. Maintain contract repository, coordinate internal reviews with legal, security, finance and procurement, provide stakeholder guidance, prepare summaries and risk analyses, and improve templates, workflows, and compliance processes across jurisdictions.

Lead end-to-end delivery of enterprise AI/ML and GenAI programs, managing POC-to-production deployments, global engineering and data teams, stakeholder governance, KPIs, budgets, and timely, cost-effective delivery.

Drive new business through prospecting, discovery calls, demos, and proposals. Partner with account executives, manage renewals and upsells, hit revenue targets, and represent the company at events and conferences.

Lead end-to-end delivery of enterprise AI/ML and GenAI programs from POC to production. Manage global engineering and data teams, LLM applications (RAG, agents, copilots), data science deployments, and AI-driven automation. Drive program governance, KPIs, budgets, stakeholder engagement, and ensure timely, cost-efficient, high-quality delivery.

Reviews and compares AI chatbot responses using predefined criteria for accuracy, relevance, completeness, clarity, consistency, and quality. Documents evaluation guidelines, analyzes workflows and data, identifies recurring issues, prepares reports, tracks quality metrics, and collaborates with project teams. This fully remote, 16-week contract requires 8 hours per day, five days per week, with Pacific Time overlap and possible weekend work.

Evaluate educational AI conversations and generated responses for accuracy, relevance, completeness, clarity, and logic. Conduct research and fact-checking, synthesize information, annotate errors, provide evidence-based feedback, and create training data examples to improve AI models. The role requires reviewing genuine Gemini conversation history, submitting an exported JSON file, and working full-time remotely for a 16-week contract with PST overlap.

Design and validate complex engineering simulation problems for training and evaluating AI models and coding agents. Develop Python-based simulation workflows, automated tests, reference solutions, and grading systems across electrical, mechanical, and aerospace domains. Analyze AI execution logs and failure modes, validate physical plausibility and numerical convergence, refine benchmarks, and collaborate with engineering and AI research teams. This remote contractor role requires approximately 40 hours weekly, Pacific Time overlap, and weekend on-call availability.

Evaluates AI-generated data science and quantitative reasoning outputs; develops prompts, datasets, reference solutions, and objective evaluation benchmarks. Identifies statistical errors, flawed methodologies, and unsupported conclusions while providing structured feedback to improve model accuracy. Responsibilities include dataset validation, statistical and quantitative assessment, quality assurance, technical documentation, and clear communication of analytical findings.

Develop and evaluate backend security coding tasks for AI systems. Responsibilities include implementing backend features, fixing bugs, refactoring code, optimizing performance, identifying and remediating vulnerabilities, conducting security-focused code reviews, and creating deterministic automated tests and verifiers. The role requires strong backend engineering, application security, debugging, testing, algorithms, and software architecture skills. Work is remote, flexible, part-time, and contractor-based.

Develop and debug production-grade full-stack applications across front-end and back-end systems. Build features, APIs, databases, and data models; troubleshoot end-to-end issues; analyze unfamiliar codebases; translate implementations across programming languages; and review AI-generated and developer-written code for correctness, security, scalability, performance, and maintainability.