2 answers
Mahee
Student
Twinsburg, Ohio
1
Question
Updated
723 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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2 answers
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!
Teklemuz Tesfay
Web Developer
23
Answers
Addis Ababa, Ethiopia
Updated
Teklemuz’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.