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Remote Internship Ai Startup Jobs in Colorado (NOW HIRING)

... and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the ... Business Insider named us an "enterprise startup to bet your career on" * Forbes' Cloud 100 ...

$139K - $168K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Previous software engineering experience via an internship, work experience, or coding competition

$139K - $168K/yr

As AI capabilities rapidly advance, Poe provides a single platform to instantly integrate and ... Previous software engineering experience via an internship, work experience, or coding competition

Remote Description **SKILLBRIDGE to FULL-TIME EMPLOYMENT** Ready to shape the future of AI ... Startup DNA-you thrive in fast-moving, high-impact environments. Benefits You'll be surrounded by ...

They are building the universal operating system for healthcare--an AI-native, event-driven ... The environment is startup-minded with CI/CD and full end-to-end ownership. Developers own setup ...

Sr. Product Manager

Denver, CO · On-site +1

$130K - $171K/yr

While we are mostly a remote company, travel is required for some team meetings and cross function ... Collaborate with AI, regulatory, and engineering teams on implementation, from design and ...

Sr Software Engineer - Accounting

CO · On-site +1

$126K - $166K/yr

Since 2019, we have been energetically supercharging our products with AI. We have introduced ... We support fully remote work, but we have very nice offices in Santa Barbara, CA and San Diego, CA.

Senior Sales Engineer, Enterprise Air

Denver, CO · Remote

$107K - $147K/yr

As a results-driven Senior Sales Engineer here, you'll enjoy a fast-paced, evangelistic startup ... Remote- travel up to 50% of time Reports to : Sr. Director, Sales Engineering Profile of Success ...

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Showing results 1-20

Remote Internship Ai Startup information

What is the difference between Remote Internship Ai Startup vs Data Analyst Intern?

AspectRemote Internship Ai StartupData Analyst Intern
Required CredentialsBasic programming, data analysis, AI fundamentalsStatistics, data analysis, Excel, SQL
Work EnvironmentStartups, tech-focused, remoteCorporate or startup, remote or onsite
Industry UsageAI, machine learning, tech startupsBusiness, finance, marketing, tech
Search & Comparison IntentUnderstanding AI internship roles in startupsComparing data analysis internship opportunities

Remote Internship Ai Startup roles focus on AI, machine learning, and tech startup environments, requiring basic programming and AI knowledge. Data Analyst Intern positions emphasize data analysis skills like statistics and SQL, often in corporate or startup settings. Both are remote-friendly but serve different industry needs and skill sets, making it important to choose based on your career focus.

What is a remote internship at an AI startup?

A remote internship at an AI startup is a temporary, often part-time, position where interns work from outside the company's physical office—usually from home—on projects related to artificial intelligence. Interns may assist with tasks such as data analysis, machine learning model development, research, or software engineering, depending on their skills and the startup’s focus. This arrangement allows interns to gain hands-on experience in the fast-growing AI sector, collaborate with professionals worldwide, and contribute to innovative projects while maintaining flexibility in their work environment.

What are some common challenges faced by remote interns at AI startups, and how can they overcome them?

Remote interns at AI startups often encounter challenges such as limited face-to-face interaction, navigating asynchronous communication, and adapting to a fast-paced, innovative environment. To overcome these, it's important to proactively communicate with mentors and teammates, seek regular feedback, and make use of collaborative tools like Slack or Zoom. Additionally, setting a structured daily routine and taking initiative in project work can help remote interns stay engaged and contribute effectively to the team.

What are the key skills and qualifications needed to thrive as a remote intern at an AI startup?

To thrive as a Remote Intern at an AI Startup, you generally need a foundational understanding of computer science concepts, programming (often Python), and a passion for artificial intelligence or machine learning. Familiarity with tools like Git, Jupyter Notebooks, TensorFlow or PyTorch, and collaboration platforms such as Slack or Trello is commonly expected. Strong self-motivation, time management, proactive communication, and a willingness to learn make a candidate stand out in a remote setting. These skills and qualities are crucial for contributing effectively, adapting to fast-paced changes, and making a measurable impact while working independently.
What are popular job titles related to Remote Internship Ai Startup jobs in Colorado? For Remote Internship Ai Startup jobs in Colorado, the most frequently searched job titles are:

Senior Android Engineer, MLB App Feature Teams

Major League Baseball

Boulder, CO • Remote

Full-time

Life, Retirement, PTO

Posted 21 days ago


Job description

Major League Baseball is looking for a Senior Android Engineer, MLB App Feature Teams to join the team building the MLB App experiences that bring fans closer to the game, including personalized feeds, real-time scores and stats, notifications, widgets, advertising surfaces, and media experiences. You will own Android feature delivery end to end, from technical design and implementation through testing, rollout, observability, and production reliability.

This role is for an engineer who can operate independently in a large consumer app, make sound architecture decisions, raise the quality bar for the team, and use modern developer tools, including generative AI, responsibly and effectively.

Responsibilities

  • Build high-quality Android features in Kotlin and Jetpack Compose across app, media, and shared platform modules
  • Translate product requirements and Figma designs into polished, accessible, production-ready UI while maintaining cross-platform consistency with iOS
  • Design and implement clean, maintainable feature architecture that fits a modular Android codebase
  • Integrate REST and GraphQL APIs with resilient networking, thoughtful state handling, caching where appropriate, and clear failure states
  • Improve app performance, responsiveness, startup behavior, crash-free sessions, and overall reliability
  • Partner with Product, Design, iOS, Backend, QA, and Test Engineering to clarify requirements, shape technical plans, and define test coverage early
  • Monitor feature rollouts and production behavior using Firebase, Datadog, crash reporting, analytics, and release health signals
  • Own production issues from diagnosis through resolution, including root-cause analysis and follow-up prevention work
  • Drive measurable improvements in build time, delivery throughput, code quality, and engineering efficiency
  • Provide thoughtful PR reviews, mentor engineers, and help establish patterns that scale across feature teams
  • Use GenAI tools such as GitHub Copilot or similar assistants to accelerate implementation, refactoring, test generation, debugging, and documentation while retaining full engineering accountability
  • Validate AI-assisted work through tests, code review, static analysis, observability checks, and secure coding practices before merge
  • Follow internal AI usage guidance, repository conventions, data-handling expectations, and review standards

Qualifications & Skills

Required Qualifications

  • 6+ years of professional experience building production Android applications
  • Strong Kotlin, Android SDK, Jetpack Compose, coroutines, and modern Android architecture expertise
  • Experience working in modular Android codebases with shared core modules, design systems, and established architectural patterns
  • Strong REST and GraphQL integration experience, including error handling, async state management, and API contract collaboration
  • Proven testing discipline across unit, integration, snapshot, and UI testing, including experience running tests in CI
  • Experience diagnosing production issues using logs, metrics, crash reporting, analytics, and observability tools
  • Familiarity with push notifications, deep links, widgets, feature flags, experimentation, and release management
  • Strong Git workflow, code review, and written communication skills
  • Practical experience using GenAI developer tools to support software delivery, with the judgment to review, adapt, test, and explain generated code

Preferred Qualifications

  • Experience building high-traffic consumer apps with millions of users
  • Media, video streaming, sports, live events, or real-time data experience
  • Experience with Firebase, Datadog, GraphQL clients, analytics platforms, remote configuration, and experimentation frameworks
  • Experience improving app startup, rendering performance, memory usage, networking efficiency, or build performance
  • Experience in large shared repositories with many contributors and multiple release trains
  • Technical leadership experience, including mentoring, architecture reviews, and cross-team delivery
  • Familiarity with responsible GenAI practices, including prompt/context hygiene, AI-assisted test creation, and evaluation of generated code quality

Senior-Level Competencies

  • Drives ambiguous product and technical problems toward clear, shippable outcomes
  • Makes pragmatic tradeoffs across quality, speed, maintainability, performance, and user impact
  • Communicates technical decisions clearly to engineering and non-engineering partners
  • Raises team standards through code reviews, design feedback, mentoring, and documentation
  • Balances feature delivery with long-term platform health and operational reliability
  • Understands the broader codebase and internal tooling deeply enough to make changes safely across module boundaries
  • Uses metrics and production signals to guide decisions rather than relying only on intuition
  • Treats GenAI as a force multiplier, not a substitute for engineering judgment, ownership, or accountability

Salary Range: $150,000 - $185,000 (Base Salary) + Bonus

As a candidate for this position, your salary and related aspects of compensation will be contingent upon your work experience, education, skills, and any other factors MLB considers relevant to the hiring decision. In addition to your salary, MLB believes in providing a competitive compensation and benefits package for its employees.

Top MLB Perks & Benefits

  • Competitive Benefits Package
  • Company 401K Contribution
  • Paid Time Off and Holidays
  • Paid Parental Leave
  • Access to Free Tickets to Baseball Games & MLB.TV
  • Discounts at MLB Store | MLBShop.com
  • Employee Assistance Programs (EAP)
  • Onsite/Online Training & Development Programs
  • Tuition Reimbursement
  • Disability Benefits (short term and long term)
  • Life and Accidental Death Insurance
  • Pet Insurance