5 answers
Mahee
Student
Twinsburg, Ohio
1
Question
Updated
2657 views
Hi, I’m a current senior looking for a remote summer internship in artificial intelligence or data science(subjects I am very passionate about). I have prior experience in these fields and would be happy to share my resume if needed. Are there any experts who could share ideas or advice on how to make this happen?
Reach out with more questions if needed!
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5 answers
Dr H
Dr. H's Research
1464
Answers
Australia
Updated
Dr’s Answer
Hey Mahee! 🌟
You're aiming high, and that’s fantastic! A remote summer internship in AI or data science? You're basically shooting for the stars, and I love it! 🚀✨
Let’s make it happen:
Leverage Your Network: Talk to teachers, mentors, or anyone in your personal network who might be connected to the field. It’s like planting seeds—sometimes, the right opportunity sprouts when you least expect it! 🌱
Perfect Your Resume: You’ve got prior experience, so show it off! Highlight any projects, internships, or even personal AI or data science projects. Employers love to see hands-on work. If you can throw in a personal project or two that you’ve done for fun (like building a cool AI app), even better! 💼✨
Target Companies & Platforms:
Look for startups and remote-first companies that often hire interns for projects.
Use LinkedIn to connect with professionals and recruiters in AI and data science.
Explore internship platforms like AngelList and Indeed, which sometimes list remote internships in these fields.
Don’t forget GitHub—a lot of companies look at personal repositories to see your coding skills and projects!
Write a Killer Cover Letter: When you’re applying, tailor your cover letter to each internship. Let them know what excites you about AI and data science and how your past experiences make you a perfect fit. Trust me, a personal touch goes a long way. 📝
Upskill During the Wait: If you're not immediately landing the internships you want, keep learning and getting better! There are tons of free resources online that can sharpen your skills, like free courses on platforms like Coursera, edX, and Udemy.
Be Proactive: If you don’t see an internship posted, reach out to companies directly and express your interest. Sometimes, creating your own opportunity can be the most rewarding route. 💪
Finally, patience and persistence are key. The AI and data science fields are buzzing with opportunity, and someone will be lucky to have you onboard. Keep hustling, and don’t hesitate to reach out if you need more advice or ideas!
Good luck, Mahee! 🌟 You’ve got this!
You're aiming high, and that’s fantastic! A remote summer internship in AI or data science? You're basically shooting for the stars, and I love it! 🚀✨
Let’s make it happen:
Leverage Your Network: Talk to teachers, mentors, or anyone in your personal network who might be connected to the field. It’s like planting seeds—sometimes, the right opportunity sprouts when you least expect it! 🌱
Perfect Your Resume: You’ve got prior experience, so show it off! Highlight any projects, internships, or even personal AI or data science projects. Employers love to see hands-on work. If you can throw in a personal project or two that you’ve done for fun (like building a cool AI app), even better! 💼✨
Target Companies & Platforms:
Look for startups and remote-first companies that often hire interns for projects.
Use LinkedIn to connect with professionals and recruiters in AI and data science.
Explore internship platforms like AngelList and Indeed, which sometimes list remote internships in these fields.
Don’t forget GitHub—a lot of companies look at personal repositories to see your coding skills and projects!
Write a Killer Cover Letter: When you’re applying, tailor your cover letter to each internship. Let them know what excites you about AI and data science and how your past experiences make you a perfect fit. Trust me, a personal touch goes a long way. 📝
Upskill During the Wait: If you're not immediately landing the internships you want, keep learning and getting better! There are tons of free resources online that can sharpen your skills, like free courses on platforms like Coursera, edX, and Udemy.
Be Proactive: If you don’t see an internship posted, reach out to companies directly and express your interest. Sometimes, creating your own opportunity can be the most rewarding route. 💪
Finally, patience and persistence are key. The AI and data science fields are buzzing with opportunity, and someone will be lucky to have you onboard. Keep hustling, and don’t hesitate to reach out if you need more advice or ideas!
Good luck, Mahee! 🌟 You’ve got this!
Teklemuz Ayenew Tesfay
Electrical Engineer, Software Developer, and Career Mentor
517
Answers
Ethiopia
Updated
Teklemuz Ayenew’s Answer
Here’s a step-by-step guide to securing a remote AI or data science summer internship:
Step 1: Polish Your Resume
Tailor your resume to highlight relevant courses, skills, and experiences in AI, machine learning, and data science.
Add project experience or personal project experience: Showcase AI/ML models, data analysis, or Kaggle competitions.
Create a GitHub portfolio: Upload your projects with well-documented code.
Step 2: Build a Strong Online Portfolio
GitHub: Ensure your projects are accessible and well-documented. Include data analysis, machine learning models, or NLP work.
Kaggle: Participate in competitions and showcase results on your profile.
LinkedIn: Update your profile to reflect your skills, projects, and any past internships.
Step 3: Network with professionals
LinkedIn: Connect with AI/data science professionals and recruiters.
Join AI/data science communities: Participate in webinars, engage in AI-related discussions, meetups, or online forums like Reddit or Slack groups.
Step 4: Search for Internships
Internship platforms: Apply on job boards like LinkedIn, Glassdoor, AngelList, and WayUp for remote internships.
Company websites: Check for internships at Google, Amazon, and IBM, etc.
Step 5: Develop Essential Skills
Programming: Master Python, R, and SQL.
AI/ML frameworks: Learn tools like TensorFlow, Keras, and PyTorch.
Data analysis: Get proficient with Pandas, NumPy, and visualization tools like Matplotlib or Seaborn.
Step 6: Apply Early
Start applying in the fall or early winter to beat the competition.
Personalize your applications: Tailor your cover letter and resume to each job you apply for.
Follow up with polite emails to recruiters after submitting applications.
Step 7: Consider Freelance Projects
You also have optional remote internships where you can explore freelance opportunities on platforms like Upwork, Freelancer, or Toptal.
Step 8: Prepare for a successful Interview
Technical interviews: Practice coding challenges on LeetCode or HackerRank.
Behavioral interviews: Be ready to discuss past projects, your passion for AI/data science, and how you approach problem-solving.
Step 9: Be Persistent and have a resilient mindset
Apply to many internships, and if your application is rejected do not lose hope; instead, learn from your mistakes and receive feedback to improve your next application. Stay flexible; never stop learning and building skills.
By following these steps, you’ll increase your chances of securing a remote AI/data science internship. I hope these tips will help you.
Step 1: Polish Your Resume
Tailor your resume to highlight relevant courses, skills, and experiences in AI, machine learning, and data science.
Add project experience or personal project experience: Showcase AI/ML models, data analysis, or Kaggle competitions.
Create a GitHub portfolio: Upload your projects with well-documented code.
Step 2: Build a Strong Online Portfolio
GitHub: Ensure your projects are accessible and well-documented. Include data analysis, machine learning models, or NLP work.
Kaggle: Participate in competitions and showcase results on your profile.
LinkedIn: Update your profile to reflect your skills, projects, and any past internships.
Step 3: Network with professionals
LinkedIn: Connect with AI/data science professionals and recruiters.
Join AI/data science communities: Participate in webinars, engage in AI-related discussions, meetups, or online forums like Reddit or Slack groups.
Step 4: Search for Internships
Internship platforms: Apply on job boards like LinkedIn, Glassdoor, AngelList, and WayUp for remote internships.
Company websites: Check for internships at Google, Amazon, and IBM, etc.
Step 5: Develop Essential Skills
Programming: Master Python, R, and SQL.
AI/ML frameworks: Learn tools like TensorFlow, Keras, and PyTorch.
Data analysis: Get proficient with Pandas, NumPy, and visualization tools like Matplotlib or Seaborn.
Step 6: Apply Early
Start applying in the fall or early winter to beat the competition.
Personalize your applications: Tailor your cover letter and resume to each job you apply for.
Follow up with polite emails to recruiters after submitting applications.
Step 7: Consider Freelance Projects
You also have optional remote internships where you can explore freelance opportunities on platforms like Upwork, Freelancer, or Toptal.
Step 8: Prepare for a successful Interview
Technical interviews: Practice coding challenges on LeetCode or HackerRank.
Behavioral interviews: Be ready to discuss past projects, your passion for AI/data science, and how you approach problem-solving.
Step 9: Be Persistent and have a resilient mindset
Apply to many internships, and if your application is rejected do not lose hope; instead, learn from your mistakes and receive feedback to improve your next application. Stay flexible; never stop learning and building skills.
By following these steps, you’ll increase your chances of securing a remote AI/data science internship. I hope these tips will help you.
James Constantine Frangos
SOFTWARE ENGINEER SINCE 1972; NUTRITIONIST SINCE 1976.
7094
Answers
Gold Coast, Queensland, Australia
Updated
James Constantine’s Answer
Good Day Mahee!
Finding a Remote Summer Internship in Artificial Intelligence or Data Science
1. Update Your Resume and Online Profiles Before applying for internships, ensure that your resume is polished and highlights your relevant experience in artificial intelligence (AI) and data science. Tailor your resume to emphasize skills such as programming languages (e.g., Python, R), machine learning frameworks (e.g., TensorFlow, PyTorch), data analysis tools (e.g., SQL, Pandas), and any projects you have completed. Additionally, update your LinkedIn profile to reflect your skills and experiences accurately.
2. Leverage Online Job Platforms Utilize online job platforms that specialize in internships and tech positions. Websites like LinkedIn, Indeed, Glassdoor, and AngelList can be excellent resources for finding remote internships in AI and data science. Use specific keywords related to your interests when searching for positions.
3. Network with Professionals Networking is crucial in the tech industry. Reach out to professionals working in AI or data science through platforms like LinkedIn or professional organizations such as the Association for the Advancement of Artificial Intelligence (AAAI). Attend virtual meetups, webinars, or conferences related to AI and data science to connect with industry experts who may know of internship opportunities.
4. Apply to Companies Directly Research companies known for their work in AI and data science, such as Google, Microsoft, IBM, Amazon, or smaller startups focused on innovative technologies. Visit their careers page to find internship listings specifically designed for students or recent graduates. Many companies offer summer internship programs that are remote-friendly.
5. Participate in Competitions and Hackathons Engaging in competitions like Kaggle challenges or hackathons can enhance your skills while also making you more attractive to potential employers. These events provide practical experience with real-world datasets and problems, showcasing your ability to apply theoretical knowledge practically.
6. Consider Academic Internships Some universities offer summer research programs or internships that focus on AI and data science topics. Check with your school’s career services office or relevant departments for opportunities that might align with your interests.
7. Prepare for Interviews Once you start receiving interview calls, prepare thoroughly by practicing common technical interview questions related to AI and data science concepts. Familiarize yourself with algorithms, statistics, machine learning principles, and coding challenges typically asked during interviews.
By following these steps systematically—updating your resume, leveraging job platforms, networking effectively, applying directly to companies, participating in competitions, considering academic options, and preparing for interviews—you will increase your chances of securing a remote summer internship in artificial intelligence or data science.
Probability the answer is correct: 95%
Top 3 Authoritative Sources Used:
LinkedIn: A professional networking platform where users can connect with industry professionals and search for job opportunities.
Indeed: A comprehensive job search engine that aggregates listings from various sources including company websites.
Kaggle: A platform for data science competitions where users can practice their skills on real-world datasets while competing against others globally.
✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯
|==========================God Bless You, Richly!==========================|
|===========================James Constantine===========================|
|===================THE AUSTRALIAN OUTBACK DIETITIAN==================|
|===================Programming For Your Nutrition Education=================|
|============================~ Since 1972!==============================|
✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯
Finding a Remote Summer Internship in Artificial Intelligence or Data Science
1. Update Your Resume and Online Profiles Before applying for internships, ensure that your resume is polished and highlights your relevant experience in artificial intelligence (AI) and data science. Tailor your resume to emphasize skills such as programming languages (e.g., Python, R), machine learning frameworks (e.g., TensorFlow, PyTorch), data analysis tools (e.g., SQL, Pandas), and any projects you have completed. Additionally, update your LinkedIn profile to reflect your skills and experiences accurately.
2. Leverage Online Job Platforms Utilize online job platforms that specialize in internships and tech positions. Websites like LinkedIn, Indeed, Glassdoor, and AngelList can be excellent resources for finding remote internships in AI and data science. Use specific keywords related to your interests when searching for positions.
3. Network with Professionals Networking is crucial in the tech industry. Reach out to professionals working in AI or data science through platforms like LinkedIn or professional organizations such as the Association for the Advancement of Artificial Intelligence (AAAI). Attend virtual meetups, webinars, or conferences related to AI and data science to connect with industry experts who may know of internship opportunities.
4. Apply to Companies Directly Research companies known for their work in AI and data science, such as Google, Microsoft, IBM, Amazon, or smaller startups focused on innovative technologies. Visit their careers page to find internship listings specifically designed for students or recent graduates. Many companies offer summer internship programs that are remote-friendly.
5. Participate in Competitions and Hackathons Engaging in competitions like Kaggle challenges or hackathons can enhance your skills while also making you more attractive to potential employers. These events provide practical experience with real-world datasets and problems, showcasing your ability to apply theoretical knowledge practically.
6. Consider Academic Internships Some universities offer summer research programs or internships that focus on AI and data science topics. Check with your school’s career services office or relevant departments for opportunities that might align with your interests.
7. Prepare for Interviews Once you start receiving interview calls, prepare thoroughly by practicing common technical interview questions related to AI and data science concepts. Familiarize yourself with algorithms, statistics, machine learning principles, and coding challenges typically asked during interviews.
By following these steps systematically—updating your resume, leveraging job platforms, networking effectively, applying directly to companies, participating in competitions, considering academic options, and preparing for interviews—you will increase your chances of securing a remote summer internship in artificial intelligence or data science.
Probability the answer is correct: 95%
Top 3 Authoritative Sources Used:
LinkedIn: A professional networking platform where users can connect with industry professionals and search for job opportunities.
Indeed: A comprehensive job search engine that aggregates listings from various sources including company websites.
Kaggle: A platform for data science competitions where users can practice their skills on real-world datasets while competing against others globally.
✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯
|==========================God Bless You, Richly!==========================|
|===========================James Constantine===========================|
|===================THE AUSTRALIAN OUTBACK DIETITIAN==================|
|===================Programming For Your Nutrition Education=================|
|============================~ Since 1972!==============================|
✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯✯
ANTARU SHAMSU
data informatics
11
Answers
Lithia Springs, Georgia
Updated
ANTARU’s Answer
Hi there! Here are some tips to help you land a remote internship in artificial intelligence or data science:
1. Tailor Your Resume: Highlight relevant coursework, projects, and experiences that showcase your skills in AI and data science. Use quantifiable achievements when possible.
2. Network: Leverage platforms like LinkedIn to connect with professionals in your field. Join relevant groups and participate in discussions to increase visibility.
3. Online Portfolios: Create a portfolio showcasing your projects on platforms like GitHub or personal websites. This demonstrates your capabilities to potential employers.
4. Apply Widely: Look for internships on job boards, company websites, and through university career services. Don’t hesitate to reach out directly to companies you admire.
5. Prepare for Interviews: Brush up on common technical questions and practice coding challenges to boost your confidence.
Good luck!
1. Tailor Your Resume: Highlight relevant coursework, projects, and experiences that showcase your skills in AI and data science. Use quantifiable achievements when possible.
2. Network: Leverage platforms like LinkedIn to connect with professionals in your field. Join relevant groups and participate in discussions to increase visibility.
3. Online Portfolios: Create a portfolio showcasing your projects on platforms like GitHub or personal websites. This demonstrates your capabilities to potential employers.
4. Apply Widely: Look for internships on job boards, company websites, and through university career services. Don’t hesitate to reach out directly to companies you admire.
5. Prepare for Interviews: Brush up on common technical questions and practice coding challenges to boost your confidence.
Good luck!
Yubing Sun
23
Answers
New York, New York
Updated
Yubing’s Answer
While having your resume refined and polished, and getting your portfolio ready, one of the important channels is to connect with your family members, alumni and network contacts. Referral has become more and more important when it comes to hiring or finding interns.