Okay, I've searched for remote AI Automation Development internship roles in the United States for undergraduates that require skills in JavaScript and API integrations, with about a 6-month duration. I have found 23 positions matching these criteria for you.

Sure. Here's the analysis:

Job Analysis:

This AI Automation Development Intern role at MyDataProduct focuses fundamentally on designing and implementing sophisticated workflow automations using n8n, a low-code/no-code automation platform. The candidate is expected to not only technically develop workflows but also thoughtfully integrate various APIs, including machine learning-related services, to enhance automation capabilities. This role is intricately tied to delivering scalable, modular, and efficient automation solutions that align with client business requirements. The emphasis on skills like JavaScript for custom extensions, JSON for workflow sharing, and Git for version control highlights a professional approach towards reproducible and collaborative software development. The role demands a high degree of independent execution and resourcefulness since it is fully remote, part-time, and requires asynchronous communication. Attention to detail, systems thinking, and outcome ownership are critical because the intern will deal with complex, multi-stage automation projects that need to be reliable and maintainable. Success will likely be measured by the intern’s ability to deliver functional, well-documented automation workflows on time, communicate progress clearly, and integrate AI/ML augmentations effectively, while demonstrating strong learning agility and adaptability in a fast-evolving, tech-driven environment.

Company Analysis:

MyDataProduct (MDP) occupies a niche position as an independent data product studio and consultancy focused on creating deeply tailored, ML-enabled data products with a strategic focus informed by Jobs-to-be-Done methodology. This positioning requires the company to balance innovation with practical, results-driven product engineering that serves specific verticals with high business impact. Culturally, the emphasis on high performance, accountability, modularity, and asynchronous work suggests a mature, remote-first environment valuing autonomy, clear communication, and precision. For an intern, this environment both challenges and accelerates professional growth, requiring self-discipline and proactive engagement while rewarding those who take initiative and demonstrate systemic thinking. The role sits within a technically proficient, cross-functional team where collaboration tools and agile workflows dominate, yet individual ownership remains crucial. Strategically, this internship supports MDP’s commitment to integrating AI and automation at the heart of its data products, helping the company scale its development capabilities and maintain cutting-edge solutions tailored to client-specific problems. A candidate who thrives here will align closely with MDP's values of excellence, innovation, and stakeholder-centric design, positioning themselves for impactful contributions and potential future advancement.

Absolutely. Here are some mock interview questions that could come up:

• Behavioral: Tell me about a time when you had to learn a new technology quickly to complete a project. How did you approach it?
• Behavioral: Describe an experience where you had to work independently on a complex task with minimal supervision. How did you ensure timely and effective delivery?
• Behavioral: Can you share an example of how you managed feedback or coaching to improve your work or skills?
• Behavioral: How do you prioritize tasks when balancing multiple complex automation or development projects?
• Technical: How would you design and implement a workflow automation in n8n that integrates multiple APIs to solve a business problem?
• Technical: Explain your experience with JavaScript in extending low-code/no-code platforms. What complexities have you faced and how did you overcome them?
• Technical: Describe how you would use Git-based version control to manage collaboration and workflow revisions in a distributed team setting.
• Technical: Can you discuss your experience with ML-related APIs and how you would integrate machine learning capabilities into workflow automations?
• Situational: Imagine you discover a performance bottleneck in an automation workflow you developed just before delivery. How would you diagnose and fix the problem?
• Situational: Suppose a stakeholder requests a last-minute change that conflicts with the existing workflow design and timeline. How would you handle this?
• Situational: If you receive unclear business requirements from a cross-functional team member, how would you ensure your automation solution meets their needs?
• Company Fit: What attracts you to MyDataProduct’s approach to melding product strategy, data science, and engineering in creating data products?
• Company Fit: How do you see your personal work style aligning with MDP's values like asynchronous work, outcome ownership, and hyper-detail orientation?
• Company Fit: Given MDP’s focus on niche verticals and hyper-personalization, how would you ensure your automation work aligns with deeply specific client needs?
• Questions For Interviewer: What does success look like for an intern in this role within the first 6 months?
• Questions For Interviewer: Can you tell me more about the collaboration dynamics between the AI automation team and other cross-functional teams at MDP?
• Questions For Interviewer: How does MDP support continuous learning and professional growth, especially for remote interns?