Top Remote Jobs in Spokane, WA

Emi Labs is focused on enhancing access to professional opportunities for Frontline Workers through its A.I. recruitment assistant. The role involves facilitating internal and external operations to create new businesses and deliver customer value while promoting a fair and inclusive work environment.

As a Trading Educator, you will create educational content on options trading and event contracts, develop structured curricula, lead educational sessions, and collaborate with experts to enhance our trading education offerings. You will stay updated on trading trends to ensure content relevance.

This job position is for referred candidates to join an exclusive private job board created by the company. Candidates can showcase their talents and be considered for future opportunities, while receiving tailored job recommendations and communications about hot openings.

The Pricing Strategy Sales Executive is responsible for driving the sales and delivery of pricing consulting services, focusing on new client acquisition and existing client expansion. This role includes engaging prospects, building relationships, negotiating deals, and supporting client transitions post-sale to ensure satisfaction and successful implementation of solutions.

Seeking a Senior Contracts Paralegal to handle vendor contract administration, draft and review contracts, provide legal support, and collaborate with internal teams. Must have strong communication skills, legal research experience, and the ability to work in a fast-paced environment.

The Enterprise Account Executive is responsible for developing and managing key accounts within the faith-based sector, achieving sales quotas, and collaborating with internal teams. Key responsibilities include prospecting, managing the sales process from initial contact to closing, conducting presentations, and fostering relationships with clients and partners, while also sharing best practices with the sales team.

The Machine Learning Infrastructure Engineer will design and maintain scalable infrastructure for machine learning models, working alongside data scientists and engineers. Responsibilities include implementing infrastructure-as-code, deploying models efficiently, optimizing performance, and ensuring data security and integrity.