Top Entry Level Artificial Intelligence Jobs in Seattle, WA

The Sales Development Representative will reach out to potential clients, manage contacts, set appointments, and assist the sales team in acquiring new business.

Drive new customer acquisition and revenue growth as part of the Outbound Sales Development team. Collaborate with cross-functional teams to build a strong sales pipeline and understand customer needs in the ASR space.

Represent Legora on campus, run demos and workshops, document academic use cases, build faculty and student relationships, design a campus activation, and receive mentorship while committing ~5 hours/week during the 2026–2027 academic year.

Research and identify potential SME clients, outreach via email/phone/social, present solutions and value propositions, qualify opportunities, and schedule meetings for Account Executives to drive account acquisition.

As an Account Executive, grow existing accounts and acquire new business. Focus on value selling, strategic account development, and customer relationships to ensure sales effectiveness and execution of plans.

Upstart invites candidates to join their Product Talent Community for future job opportunities in their innovative and inclusive lending solutions. Members receive updates on roles that match their skills.

Provide frontline IT support by troubleshooting hardware, software, and network issues, improve support processes, and participate in on-call rotation.

The QA Tester will test mobile and VR applications, execute test cases, log bugs, document findings, and collaborate with the team.

Build and evaluate next-generation ranking and recommendation models using LLMs, RLHF, and preference learning. Develop large-scale user understanding systems, apply RL and optimization to bidding and delivery, design experiments with causal inference and A/B testing, and collaborate with engineering to deploy research into production while communicating results to technical and non-technical stakeholders.

Build and maintain large-scale data pipelines and infrastructure for training data generation, distributed model training, and ML workflows. Support reproducibility, validation, monitoring, and performance optimization. Collaborate with ML engineers and researchers to productionize research and evolve the offline ML platform.

Assess English-language content for clarity, coherence, accuracy, and guideline adherence; perform long-form text evaluations consistently; document findings; work independently within a team and maintain high quality on repetitive tasks.