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.
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Senior individual contributor who defines enterprise AI architecture, builds reusable platform components and governance controls, drives observability and cost attribution, mentors engineers, and partners across Security, Legal, Data, and product teams to enable secure, measurable AI adoption.
Top Skills:
Agentic AiAi ObservabilityAPIsCopilot PlatformsDatabricksEnterprise SearchLakehouse ArchitecturesLarge Language Models (Llms)MlopsModel Evaluation FrameworksPrompt OrchestrationRetrieval-Augmented Generation (Rag)Service Integration AdaptersSnowflakeTelemetry/Logging/Usage MeteringVector DatabasesWorkflow Automation Suites
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Build and operate production AI capabilities—agents, prompts, connectors, automations, and telemetry—to improve productivity. Deliver reusable components, integrate AI with enterprise systems, enforce responsible AI controls, instrument costs and ROI, and collaborate across security, legal, data, and business teams to scale safe, measurable AI adoption.
Top Skills:
AgentsAi ObservabilityAPIsCopilot PlatformsDatabricksEnterprise SearchGenerative AiLakehouse ArchitecturesLarge Language ModelsMlopsPrompt WorkflowsRag SystemsSnowflakeTelemetry/Logging/DashboardsVector DatabasesWorkflow Automation Suites
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
