Top Remote Entry Level Jobs in Jacksonville, FL

Designs, evaluates, and improves secure network architectures for performance, capacity, availability, reliability, and cost. Identifies hardware, software, bandwidth, interface, and routing requirements; validates configurations; monitors performance; troubleshoots issues; maintains security controls; develops continuity plans; and coordinates upgrades, installations, testing, and technical documentation.

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.

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.

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.

Reviews material and capacity availability, schedules work orders for earliest commitments, coordinates constraints with production, buying, and master scheduling teams, and communicates supply delays to customer service. The role follows planning procedures and requires analytical, organizational, communication, cross-functional collaboration, SAP, Excel, and data-mining skills.