Top Remote Entry Level Jobs in Raleigh, NC

Performs entry-level electrical engineering tasks focused on SCADA systems, including point lists, RTU programming, HMI development, communications drawings, panel documentation, commissioning, troubleshooting, specifications, reports, and client support under lead engineer supervision.

Provides entry-level technical support for software products and instrument interfaces, handling customer calls, troubleshooting issues, documenting resolutions, escalating complex cases, and maintaining support documentation. The role manages multiple cases, supports process improvements, participates in rotating after-hours coverage, and routes incoming calls. Candidates need strong customer service, communication, problem-solving, prioritization, and technical language skills. Exposure to laboratory information system software is preferred.

Remote, unpaid 12-week externship teaching venture capital fundamentals through weekly classes and hands-on experience. Students conduct industry research, source and evaluate potential investments, work with CPV investment professionals, and present their learnings. The program requires approximately five hours per week and is designed for currently enrolled undergraduate students, preferably juniors or seniors, with strong analytical, research, organizational, communication, academic, and time-management skills.

Monitor enterprise systems for performance, uptime, alerts, and anomalies in a 24/7 environment. Diagnose basic application and infrastructure issues, manage JIRA tickets, document incidents, communicate service interruptions, and support maintenance and deployments. Maintain RHEL baselines and assist with containerized environments, security monitoring, risk management framework activities, compliance tools, and technical documentation. Escalate complex issues and collaborate with cross-functional teams.

Leads complex B2B and B2C marketing technology implementations, translating customer and business requirements into scalable journey orchestration, personalization, experimentation, and automation solutions. Develops technical designs, APIs, data structures, testing deliverables, and optimization strategies while consulting with executive stakeholders and collaborating with Product, Engineering, sales, and delivery teams. Supports risk management, roadmap feedback, mentoring, and reusable implementation practices.

Leads TimberU, Timber’s educational library and knowledge hub. Owns content strategy, editorial planning, educational quality, glossary development, contributor relationships, content organization, and engagement tracking. Creates and oversees articles, guides, videos, definitions, and other resources explaining business, startups, entrepreneurial IP, Optioning, Packaging, and Building. Coordinates with product leadership to integrate content into the platform and grow TimberU into a trusted user resource.

Leads Timber’s internal legal strategy and compliance framework, including contracts, intellectual property, corporate governance, marketplace agreements, regulatory risk, and legal documentation. Advises the founding team, coordinates with outside counsel, supports fundraising diligence, maintains corporate records, and establishes reusable legal templates and processes. This is a remote, equity-only, hours-as-needed founding-team role with potential to become full-time as the company grows.

Own Timber’s 0-to-1 platform strategy, discovery, MVP definition, roadmap, backlog, user research, prototyping, usability testing, product metrics, and iteration. Translate the company’s marketplace model into clear workflows for creators, buyers, investors, talent, and other participants. Partner closely with engineering, design, leadership, and communications to balance user value, business priorities, technical feasibility, and available resources while establishing a usable, validated early product.

Supports channel and ecosystem partner programs by managing operational execution, processes, workflows, reporting, dashboards, onboarding, incentives, and cross-functional initiatives. The role analyzes program performance, identifies process improvements, coordinates stakeholders, supports planning and launches, and ensures consistent adoption of partner policies and tools.

Build and launch unconventional, engineering-driven growth experiments for Bota by identifying ideal customers, creating prototypes, integrations, automations, open-source projects, and distribution mechanisms. Work directly with the CEO to take ideas from hypothesis through launch, measurement, iteration, and scale. The role focuses on rapid experimentation, software and AI leverage, measurable customer acquisition, and turning successful experiments into repeatable growth channels.

Build and own Bota’s full-stack AI hardware platform, including backend services, APIs, data models, frontend interfaces, cloud infrastructure, CI/CD, testing, security, and observability. The founding engineer will make end-to-end technical decisions, collaborate with product, design, and customers, mentor future engineers, improve system performance and reliability, and help shape engineering culture and long-term technology strategy.

Leads enterprise strategy and execution for intelligent laboratory instruments, automation, interoperability, autonomous workcells, AI-enabled workflows, and smart compute architectures. Establishes standards, reference architectures, deployment models, roadmaps, and implementation criteria. Partners with operating companies, technical and commercial teams, customers, suppliers, and technology organizations to validate innovations, commercialize scalable solutions, align investments, and drive adoption across Danaher.

Build, test, deploy, and productionalize secure AI and machine learning systems for internal tools, customer products, and operational workflows. The role involves generative AI, NLP, predictive modeling, responsible AI, model evaluation, monitoring, documentation, and collaboration with engineering, data, and business teams. Candidates should have strong Python and software engineering skills, experience with LLM applications and modern AI tooling, and familiarity with cloud platforms, privacy, security, and compliance.