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Remote Internship Ai Startup Jobs in Virginia (NOW HIRING)

micro1 AI

AI Systems Engineer - Defense

Arlington, VA · On-site +1

$40 - $60/hr

Prior experience at a startup, defense organization, Department of War, or government-focused ... performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified ...

micro1 AI

AI Systems Engineer - Defense

Ashburn, VA · On-site +1

$40 - $60/hr

Prior experience at a startup, defense organization, Department of War, or government-focused ... performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified ...

micro1 AI

AI Systems Engineer - Defense

Reston, VA · On-site +1

$40 - $60/hr

Prior experience at a startup, defense organization, Department of War, or government-focused ... performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified ...

micro1 AI

AI Systems Engineer - Defense

Mclean, VA · On-site +1

$40 - $60/hr

Prior experience at a startup, defense organization, Department of War, or government-focused ... performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified ...

micro1 AI

Lead AI Engineer, Forward Deployed

Mclean, VA · On-site +1

$40 - $60/hr

Prior experience at a startup, defense organization, Department of War, or government-focused ... performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified ...

micro1 AI

Lead AI Engineer, Forward Deployed

Reston, VA · On-site +1

$40 - $60/hr

Prior experience at a startup, defense organization, Department of War, or government-focused ... performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified ...

micro1 AI

Lead AI Engineer, Forward Deployed

Ashburn, VA · On-site +1

$40 - $60/hr

Prior experience at a startup, defense organization, Department of War, or government-focused ... performing, remote-first workforce. micro1 is an equal opportunity employer. All qualified ...

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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.
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Remote Internship Ai Startup jobs near you

Skillbridge Internship- AI Software Engineer (Remote)

Knexus

Vienna, VA • On-site, Remote

Full-time

Re-posted yesterday

Job description

About Knexus
Do you want to break into the AI market with professionals that have been doing it for nearly 20 years? Knexus is a remote first company that has been solving DoW challenges with AI for nearly two decades. Most of our leadership team has been with the company for 15+ years, which speaks volumes about the culture and mission of Knexus. If you have a background or training in coding and a passion for service, we want you to join the team!
Position Overview
During your remote Skillbridge internship at Knexus, you will continue to serve the government by support our DoD clients; you will be essential in building revolutionary AI to solve some of the government's toughest problems. A successful candidate will have a technical background and curiosity to learn more (code test is required). They will have fundamental developing skills or understanding and be ready to learn more about the execution of AI and ML in their domain space. They will want to learn everything that goes into running a small business serving the government. You will help us translate all our technical applications into real-world scenarios using your subject matter expertise.
Location: We are mostly remote and can support 100% remote work while you transition off Active Duty. Our clients and most of the team is on East Coast hours, so we need someone able to support normal working hours in Eastern Standard Time. Knexus has an office in Northern Virginia, right out of DC, if you would like to work in person. After the internship is complete, the Washington DC Metro area (DMV) is preferred, but we are open to all qualified candidates.
Key Responsibilities
  • Build unique and custom AI solutions for DoD agencies.
  • Liaison with End-Users: As someone who understands the language and needs of the end-users in the Navy, you will help bridge the gap between the technical team and the end-users. This will include, but isn't limited to, attending client meetings, meeting with our technical team to answer application questions, and participating in regular stand-up meetings with the project teams.
  • Domain Knowledge: You will bring a deep understanding of the operational environment, tactics, techniques, and procedures used in the domain of expertise. This knowledge is crucial in developing AI solutions that are practical and effective in real-world scenarios.• Data Interpretation: You will interpret the data used to train AI models. You will help identify what data is relevant and how it should be labeled for machine learning.
  • Solution Validation: You will play a key role in testing and validating AI solutions, ensuring that they perform as expected in simulated and real-world mine warfare scenarios.
  • Ethical Considerations: Applicable domains have significant ethical considerations. You will be our expert in this area could guide the development of AI solutions to ensure they comply with international laws and ethical guidelines.
Qualifications and Experience
  • Degree in technical field such as, Computer Science, Software Engineering, Mechanical Engineering, Math, Physics, similar degree, or related experience.
  • Exposure to Artificial Intelligence and/or Machine Learning technologies with the desire to learn more. If you have any coding experience, that's a big plus!
  • Warfare qualification is a plus

You might be a good fit for the position if you have recently served at one of the following commands. This is not a requirement.
  • Defense Logistics Agency (DLA)
  • Naval Surface and Mine Warfighting Development Center (SMWDC)
  • Surface Warfare Officer School (SWOS)
  • Department Head tour as a Surface Warfare Officer (SWO)
  • NAVAIR
  • Office of Naval Research
  • Naval Research Lab
  • DARPA

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