Entry-level AI communications intern working on routine, supervised tasks. Learns company policies, supports AI/LLM work, communicates technical concepts to non-technical stakeholders, and assists cross-functional projects. Prefers candidates pursuing CS/Data Science/related degrees with Python/JavaScript and LLM/API experience.
Job Summary & ResponsibilitiesEntry Specialist within the Intern (Non-Technical) job family. Acquires job skills and learns company policies and procedures to complete routine tasks. Complexity & Problem Solving: Works on assignments that are routine in nature, requiring limited judgment. Has little or no role in decision-making. Collaboration & Interaction: Normally receives detailed instructions on all work. Works under close supervision.
Entry Specialist (Hourly) Preferred Qualifications
Entry Specialist (Hourly) Preferred Qualifications
- Currently pursuing or recently completed (within 1–2 years) a Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Information Systems, or a related field
- Hands-on experience with AI/ML frameworks, LLM APIs (e.g., OpenAI, Anthropic, Google), or automation platforms
- Proficiency in Python and/or JavaScript; experience with REST APIs and cloud services a plus
- Strong analytical and problem-solving skills with a bias toward action and building
- Excellent communication skills — able to translate technical concepts for non-technical business stakeholders
- Strong organizational skills and ability to manage multiple projects simultaneously across different functional teams
- Experience or coursework in industrial, manufacturing, defense, finance, or supply chain domains considered a plus
- A self-starter mentality and comfort working in a fast-paced, lean environment
Similar Jobs
Artificial Intelligence • Software • Generative AI
The Communications Intern will support narrative intelligence, ghostwrite for the founder, and manage strategic communication channels, focusing on AI policy engagement.
Artificial Intelligence • Healthtech • Machine Learning • Natural Language Processing • Biotech • Pharmaceutical
Lead site management and monitoring across assigned countries/clusters/regions, ensuring site start-up, quality, regulatory and GCP compliance. Line-manage SCP/CRA/monitors, oversee FSP/CRO delivery, build investigator and stakeholder relationships, drive strategic initiatives (e.g., DCT readiness, virtual monitoring), manage resources and risks, and provide regional insights to optimize clinical trial conduct and timelines.
.png)
Cloud • Insurance • Payments • Software • Business Intelligence • App development • Big Data Analytics
Lead intake, roadmap, and governance for an AI automation/platform team. Harden and ship business-built AI apps to production with secure GCP platforms, define acceptance criteria and responsible-AI gates, manage vendor buy-vs-build decisions, drive adoption, measure outcomes, and manage AI economics and stakeholder communication.
Top Skills:
AgentforceAuth/IdentityAWSAzureCi/CdDpaFinopsGCPIso 27001LlmsMlopsMonitoringNetSuiteSalesforceSecrets ManagementSlackSoc 2SQL
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
