AI & ML Intern

Internship · 4 weeks · Fully Remote

Compensation: Voluntary (unpaid)
Eligibility: Students and recent graduates
Weekly commitment: Approximately 10–20 hours per week
Location: Fully remote — applicant location requirements may apply
Status: Open until filled
Team: AI & Machine Learning team

About the Internship

As an AI & ML Intern at Earnne, you will support experiments and practical machine learning work related to our online earning products. You may help with data preparation, model evaluation, research tasks, and documenting results alongside the AI team in a remote learning environment.

Key Responsibilities

  • Assist with data preparation and labeling for AI/ML experiments.
  • Help train, evaluate, or compare simple models under guidance.
  • Support testing and refinement of prototypes used in Earnne workflows.
  • Investigate basic issues and document findings for the team.
  • Participate in remote check-ins and technical discussions.

Candidate Profile

  • Genuine interest in artificial intelligence and machine learning.
  • Basic programming knowledge, ideally in Python.
  • Comfort reading documentation and learning new tools.
  • Curiosity, attention to detail, and willingness to ask questions.
  • Ability to work independently in a remote environment.

Experience: Previous professional experience is not required. Personal, academic, or portfolio projects are welcome.

Education: No specific degree is required. Currently studying a related subject is preferred when relevant to the role.

Internship Structure

This is a 4 weeks voluntary remote internship with an expected commitment of approximately 10–20 hours per week. Tasks are assigned based on your current skills and the needs of the AI & Machine Learning team. The internship is intended to provide practical learning and project experience.

What You'll Gain

  • Guided practical experience with AI/ML workflows.
  • Exposure to how machine learning can support real product systems.
  • Feedback and mentorship from the AI team.
  • Experience collaborating in a remote development environment.

Application Process

  1. Submit your CV through the form on this page (or email it to [email protected]).
  2. We review your application.
  3. Selected candidates may be contacted for a short interview or follow-up questions.
  4. Successful applicants receive onboarding details.

Apply for the AI & ML Intern

Send your CV to [email protected] with the subject line: AI & ML Intern, or submit your application using the form below.

Please include any relevant coursework, notebooks, GitHub projects, Kaggle work, or personal ML experiments that show your interest and skills.

Click here to upload your CV

Accepted formats: PDF, DOC, DOCX (Max size: 5MB)

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