Top Remote Jobs in Buffalo, NY

Cinder is building a paid expert network for specialists who test AI models for safety risks. Projects may involve red teaming, jailbreak testing, image, video, audio, agentic, and MCP-connected systems. They seek experts in areas such as child safety, CBRNE, extremism, cybersecurity, fraud, self-harm, psychology, copyright, and multilingual or culturally specific model evaluation.

Design and build interfaces across HUD’s AI data platform and marketplace. Translate complex agent runs, evaluation results, reward signals, and reinforcement learning workflows into clear, actionable products. Partner with users, researchers, and engineers; conduct user research; ship and refine experiences; establish reusable interaction patterns; and maintain high standards for usability, visual quality, and implementation.

Provide technical support for developer customers, resolve inquiries, create and maintain tutorials and content to improve self-sufficiency, minimize engineering interrupts, and collaborate with cross-functional teams on support strategies.

Build and maintain research data infrastructure connecting laboratory instruments, analysis pipelines, LIMS, repositories, databases, and cloud platforms. Develop ingestion and data transformation pipelines, manage metadata and persistent identifiers, deploy Kubernetes-based services, maintain CI/CD and infrastructure-as-code, and integrate AI/ML tools for data discovery. The role also evaluates data-management technologies, trains research staff, and produces technical documentation and procedures.

Freelance Strategists develop integrated B2B marketing strategies across messaging, content, SEO, AEO, CRM journeys, paid media, websites, email, and sales enablement. They translate business strategy into creative briefs, nurture campaigns, and content priorities; analyze funnel and campaign performance; optimize for conversion; collaborate with editorial and creative teams; and present recommendations to senior client stakeholders. The role requires client-facing communication, strategic adaptability, and experience with B2B SaaS or enterprise technology marketing.

Leads strategic growth for Arc'teryx PRO wholesale and government reseller accounts across the United States. Responsibilities include account strategy, relationship management, sales growth, forecasting, assortment planning, business reviews, market analysis, partner feedback, contract execution, marketing initiatives, and industry events. The role collaborates cross-functionally with Commercial, Operations, Product, Business Development, and Brand teams, while supporting professional end-user communities and traveling up to 30%.

Manage clinic and health system accounts from implementation through ongoing customer success. Drive enrollment, adoption, satisfaction, account health monitoring, issue resolution, customer training, feedback reporting, and proactive relationship management. Build repeatable onboarding and implementation processes, maintain a shared customer knowledge base, and translate clinical and technical issues for Engineering and IT. The role includes on-site and virtual training with travel of up to 50%.

Generates qualified sales opportunities through outbound prospecting, inbound lead follow-up, account research, discovery, objection handling, and relationship building. Communicates with prospects across phone, video, and email, qualifies business needs, schedules sales-ready meetings for Account Executives, maintains accurate CRM records, meets pipeline targets, and provides feedback to improve sales processes.

Own full-cycle enterprise and mid-market SaaS sales, from discovery through contract signing. Build pipeline through outbound, partnerships, and demand follow-up; conduct consultative discovery; manage multi-threaded stakeholder relationships; deliver ROI-focused value narratives; and use MEDDIC, Challenger, or similar methodologies. Partner with leadership, Solutions Engineering, Marketing, RevOps, and Customer Success to close, expand, and smoothly transition accounts.

Instructor-led AI and machine learning training covering theory, data preprocessing, algorithms, model building, analytics, real-time projects, case studies, and practical business and IT applications. Participants use Python, TensorFlow, and Scikit-learn and receive certification upon successful completion.