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 • Cloud • Internet of Things • Software • Cybersecurity • Industrial
This role involves leading the vision for autonomous machine operations, coordinating development with engineering teams, and driving product features based on customer feedback and market needs.
Top Skills:
Agile MethodologyAISoftware Engineering
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handle inbound and warm sales leads by consulting customers on insurance needs, matching coverages, and closing policies. Participate in paid remote training and licensing, meet shift and work‑at‑home tech requirements, and maintain performance goals and quality standards.
Top Skills:
CableDslFiberHigh-Speed Internet (100 Mbps Down / 20 Mbps Up)PcWired Ethernet
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
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
