Top Remote Entry Level Jobs in Portland, OR

Remote contract role to administer and configure Salesforce and HubSpot instances. Perform flows/automations, validation rules, dashboards, basic config changes, and support internal Everpeak org. Requires US-hours availability, clear English communication, and proactive follow-up. Minimum 10 hours/week, capacity to ramp up.

Conduct warm introductory calls with readers, identify compelling community story ideas, recommend appropriate content opportunities, and gather referrals to readers and local businesses. Maintain accurate opportunity records in monday.com, review AI-generated notes, and provide clear handoff details to content production teams. Build trust, listen actively, document preferences, establish next steps, and follow up on commitments in a fully remote environment.

Provides first-line help desk support for global customers, managing incidents, desktop support, proprietary applications, service tickets, SLAs, escalations, and customer communications. The role involves troubleshooting issues using technical documentation, dispatching service requests, maintaining detailed ticket records, monitoring systems, collaborating with specialists and engineers, and contributing to the knowledgebase.

Drives regional sales growth by acquiring new accounts, managing existing client relationships, achieving sales targets, conducting market research, delivering presentations, negotiating contracts, and monitoring sales performance. Collaborates with marketing and product teams to communicate product value, identify market opportunities, and support client satisfaction and retention.

Build and deploy production AI agents using tool-calling LLMs, structured outputs, API orchestration, and streaming responses. Develop evaluation harnesses, monitor quality and traces, and improve reliability, latency, and cost through caching, token budgets, retries, and observability. Create validated agent tools and integrations while collaborating with product, mobile, and backend teams. Own the full lifecycle from prototyping and evaluation through staging, production deployment, monitoring, and continuous improvement.

Supports company-wide learning programs by developing training content, coordinating curriculum improvements, collaborating with subject matter experts, supporting trainers, maintaining training records, evaluating program effectiveness, and fostering employee engagement and continuous learning. The role also mentors employees, monitors training-plan performance, and recommends improvements based on evaluations.

Sets up, manages, optimizes, and reports on paid search, paid social, retargeting, display, and video campaigns for multiple automotive clients. Responsibilities include keyword and ad copy development, landing page recommendations, budget and ROI management, performance analysis, testing, client communication, and strategic growth recommendations across Google, Microsoft, Facebook, Twitter, LinkedIn, and YouTube platforms.

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.

Own the post-purchase retention product, subscriber experience, subscription platforms, and roadmap. Improve onboarding, engagement, loyalty, cancellation prevention, renewals, and lifetime value through customer journey optimization, cohort analysis, A/B testing, and data-driven experimentation. Partner with growth, data, design, and development teams while maintaining data health, QA standards, and scalable operating systems. Use AI tools and emerging technologies to automate work and analyze customer data.

Conduct careful web and document research to develop training and benchmarking tasks for frontier AI models. Responsibilities include retrieving and verifying claims, cross-referencing academic and financial sources, tracking original sources, using research-enabled LLM tools, rapidly learning new domains, and clearly communicating reasoning, uncertainty, and findings in written and verbal formats. This is a fully remote, one-month contract requiring at least 15 hours weekly, with an expected average of 20 hours per week.