Top Remote Entry Level Jobs in Orlando, FL

Own revenue operations as a hands-on team of one, including forecasting, bookings roll-ups, GTM metrics, pipeline hygiene, weekly operating rhythms, sales commissions, deal desk activities, and compensation plans. Build AI-powered GTM tools and automations using Claude, support finance and territory planning, and provide trusted analysis to GTM leadership.

Designs and delivers Amazon Connect and Salesforce contact center solutions for enterprise customers. Leads discovery, technology assessments, ROI development, architecture, integrations, and cloud deployment discussions. Translates business requirements into contact center designs, oversees technical teams, manages stakeholder communications, and ensures projects meet quality, budget, and timeline goals. Provides customer training and documentation while guiding cloud infrastructure, automation, monitoring, security, and compliance practices.

Design and optimize prompts, agent architectures, MCP tools, RAG workflows, and context-management strategies for reliable AI applications. Develop and integrate LLM-powered solutions with enterprise systems, APIs, healthcare data, and backend services. Establish evaluation and testing frameworks, improve response quality, and support deployment, monitoring, troubleshooting, security, compliance, governance, and responsible AI practices.

Lead a small AI engineering team while remaining hands-on in research and production software development. Build agentic capabilities for monitoring, guardrailing, evaluation, collaboration, and security. Perform exploratory data analysis, feature engineering, model fine-tuning, prototyping, and technical design. Translate AI research into scalable product features, set technical direction, mentor engineers, and deliver reliable production code.

Pre-sales Sales Engineer partnering with prospective customers to evaluate CoLab’s AI-powered mechanical engineering collaboration platform. Responsibilities include tailored product demonstrations, workflow discovery, evaluation execution, ROI articulation, customer onboarding support, and collaboration with Sales, Product, Marketing, and Customer Success. The role requires mechanical engineering expertise, product development experience, CAD/PLM knowledge, strong communication skills, and frequent North American travel.

Manage high-volume partner sales deals from quote through signature, including pricing, discounts, proposals, order review, account activation, and follow-up. Support partner representatives selling AI-powered contact center and communications solutions, determine SPIF eligibility, and cover Channel Manager responsibilities when needed. The role requires strong organization, communication, relationship-building, B2B sales support, channel sales, account management, and familiarity with telecom, UCaaS, or CCaaS solutions.

Leads AI governance and assurance engagements, designing policies, controls, operating models, risk assessments, and compliance programs. Evaluates AI security, model governance, third-party solutions, and control effectiveness against frameworks including NIST AI RMF, ISO 42001, and the EU AI Act. Collaborates with security and engineering teams to test threats such as prompt injection, model manipulation, data poisoning, and leakage. Advises executives and clients, develops methodologies and proposals, researches emerging AI risks and regulations, and supports business development.

Leads the full lifecycle of shared platform, cloud, DevOps, CI/CD, and SRE capabilities. Owns platform roadmaps, infrastructure as code, release automation, quality gates, observability, reliability practices, incident processes, and developer experience improvements. Partners with Engineering, IT Operations, Security, and Quality in a regulated environment, leads platform engineers in India, evaluates AI-assisted tools, and serves as a hands-on technical leader.

Entry-level placement supporting hyperscale data centre infrastructure. Responsibilities include installing, repairing, replacing, and decommissioning hardware; conducting inspections, preventative maintenance, cabling and port testing; managing spare-parts inventory; documenting repairs; coordinating with technical teams; and responding to critical hardware issues. The programme provides hands-on experience with mission-critical systems, reliability engineering, networking, power, cooling, automation, and controls in a safety-focused U.S. environment.

Build and validate forecasting, optimization, anomaly detection, and measurement models using complex customer data. Perform exploratory analysis, experiments, backtesting, and error analysis; partner with ML and data engineers to productionize models, features, evaluation pipelines, and monitoring. Translate business questions into analytical recommendations and communicate findings to technical and non-technical stakeholders. The role is hybrid in New York City or remote in the U.S. with monthly travel to New York.