Top Remote Jobs

Conduct China-focused semiconductor and AI supply-chain research, produce data-rich equity notes and weekly coverage, build bottoms-up financial models for Chinese foundries, fabless designers, memory and equipment firms, monitor disclosures and policy, engage industry contacts, and support institutional clients with timely analysis.

Manage full-cycle recruiting, candidate pipelines, interview coordination, onboarding, employee lifecycle administration, HR recordkeeping, policy maintenance, and employee communications. Serve as first point of contact for HR questions, improve HR processes, and support a distributed workforce.

Builds and manages community partnerships, sponsorships, events, and local activations across Fleet Farm’s regional stores. The role develops relationships with agricultural groups, schools, sportsmen’s clubs, and community organizations; secures opportunities within budget; leads event execution; coordinates with store leaders and marketing; and tracks spending and results. This independent, field-based position requires approximately 75% travel, outdoor work, physical lifting, and strong relationship-building and presentation skills.

Drive awareness and education of Dose products to healthcare professionals via outbound/inbound calls, emails, and virtual meetings. Qualify leads, manage a pipeline in CRM, collaborate cross-functionally, hit sales targets, and maintain product and competitive knowledge.

Work directly with the Chief of Staff and leadership to define and lead high-impact strategic initiatives end-to-end. Conduct quantitative and qualitative analyses (CLV, cohort, pricing, forecasting), develop recommendations and implementation plans, and drive execution across commercial, product, retention, pricing, channel, and organizational scaling priorities.

Develop robotics-focused integrations for FiftyOne, support the open source community, and create technical blogs, tutorials, videos, courses, and documentation. Apply computer vision and machine learning to robotics perception, navigation, manipulation, and autonomous systems. Organize and speak at robotics events, collaborate through GitHub and Slack, and work with robotics datasets, multimodal sensor formats, simulation environments, models, and perception frameworks.

Own and improve the organization’s internal operating systems. Lead scorecard, OKR, and KPI implementation; translate strategy into measurable goals; develop operational frameworks and policies; optimize cross-functional processes; identify bottlenecks and risks; and manage the technology stack. The role requires hands-on strategic execution, documentation, training, communication, and organization-wide adoption in a distributed APAC-based team.

Build reference software codebases, support NGOs developing generative AI products, integrate diverse data sources, create experimentation tools, and deliver rapid cloud-based solutions. The role includes advising and mentoring partner organizations, conducting rigorous experiments, improving analytics infrastructure, organizing technical workshops, and visiting NGO sites to identify technical needs. Candidates need strong full-stack engineering, backend, data engineering, cloud, database, and generative AI experience.

Design, build, and maintain Power BI dashboards and data models using Snowflake and other cloud sources. Collaborate with data engineers/ETL teams, gather stakeholder requirements, implement DAX and Power Query transformations, ensure data governance and performance, and deliver analytics within Agile processes.

Design, build, and maintain production-grade .NET web applications and APIs on Azure. Own full-stack delivery from data models and SQL to front-end components, CI/CD, testing, and architecture. Collaborate with product and delivery teams, participate in code reviews, and ensure secure, observable, well-tested services.

Lead Workday data migration: design conversion strategy, analyze and cleanse legacy data, execute loads via EIBs and conversion tools, validate data, and collaborate with functional teams to resolve discrepancies.

Lead consultative sales for premium single-family homes and ADUs, converting online leads into clients and guiding them through design and construction decisions. Build sales processes, collaborate with architecture and design teams, develop proposals, support marketing, strengthen partnerships, and ensure client satisfaction. Recruit, train, and manage a high-performing sales team while building scalable onboarding, follow-up, and accountability systems.

Design, build, and scale Shepherd’s core platform, backend systems, APIs, user-facing applications, and AI-powered legal workflows. Architect secure, reliable infrastructure for sensitive legal data, collaborate with legal and product teams, build internal tools, optimize performance, and own technical decisions. The role also involves rapid prototyping, mentoring and recruiting engineers, and contributing to SOC 2 readiness and data privacy practices.

The Founding Paralegal will support attorneys on corporate, employment, contracting, fundraising, compliance, and governance matters. Responsibilities include drafting and managing legal documents, coordinating workflows, conducting legal research, maintaining client records, communicating with clients, and developing playbooks, templates, and technology-enabled processes to scale legal service delivery.

Lead the architecture, development, and operation of cloud infrastructure for an AI-native legal platform. Own CI/CD, developer tooling, Kubernetes and containerized workloads, AI infrastructure, observability, security, compliance, reliability, scalability, and cost optimization. Partner with engineering and product teams, establish infrastructure standards, and hire and mentor future infrastructure engineers while ensuring sensitive legal data is handled securely.

Designs and implements AI-enabled workflows for Treasury and Internal Audit teams. Partners with business, security, compliance, and legal stakeholders to identify opportunities, define requirements, integrate AI components with APIs and internal systems, and support testing, monitoring, troubleshooting, training, governance, and adoption. The role requires Python, cloud platform familiarity, orchestration and integration knowledge, and exposure to generative AI or LLM frameworks.

Designs secure, scalable enterprise AI architectures spanning data pipelines, AI/ML platforms, model selection, enterprise integrations, governance, privacy, security, and regulatory controls. Establishes foundations for MLOps, CI/CD, model lifecycle management, observability, monitoring, and evaluation, helping move AI solutions from proof of concept to production across regulated industries.