Join LearnWise
LearnWise is a North America-based career coaching platform dedicated to helping students secure internships and full-time positions at leading technology companies. Our mentor network includes experienced engineers from Meta, Google, Amazon, Microsoft, NVIDIA, Apple, OpenAI, and other top technology companies.
We are currently seeking an experienced AI Engineer Mentor to provide one-on-one technical coaching for students pursuing careers in Artificial Intelligence, Machine Learning, and Generative AI.
This is a remote, part-time contract position with flexible scheduling based on mentor availability.
Position Overview
As an AI Engineer Mentor, you will work directly with students through personalized one-on-one coaching sessions. You will help students strengthen their technical foundations, build competitive AI projects, prepare for technical interviews, optimize resumes, and successfully navigate the North American recruiting process.
This position is ideal for experienced AI engineers who are passionate about mentoring and enjoy helping aspiring engineers achieve their career goals.
Key ResponsibilitiesOne-on-One Technical Coaching
- Deliver personalized one-on-one mentoring sessions tailored to each student's technical background and career goals.
- Develop customized learning plans covering AI fundamentals, interview preparation, and project development.
Technical Interview Preparation
- Conduct coding interviews and AI/ML mock interviews.
- Provide interview coaching for AI Engineer, Machine Learning Engineer, Applied Scientist, and Software Engineer (AI) positions.
- Help students improve problem-solving, communication, and technical interview performance.
AI Project Mentorship
- Guide students through production-oriented AI projects suitable for resumes and interviews.
- Review project architecture, implementation, and code quality.
- Help students build practical experience with modern AI technologies.
Resume & Career Coaching
- Review and optimize technical resumes.
- Provide personalized career advice and job search strategies.
- Share insights into North American hiring processes and interview expectations.
Student Progress
- Track student progress throughout the program.
- Collaborate with Student Advisors to ensure students stay on schedule and receive timely support.
QualificationsEducation
- Bachelor's degree or above in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a closely related field.
Professional Experience (Required)
- Minimum 3 years of full-time engineering experience at a leading technology company in North America.
- Professional experience as an AI Engineer, Machine Learning Engineer, Applied Scientist, AI Research Engineer, or Software Engineer specializing in AI/ML.
- Proven experience designing, developing, and deploying production-grade AI applications.
- Hands-on experience building commercial AI products rather than academic research only.
- Experience participating in technical interviews at North American technology companies.
Technical Skills (Required)
Candidates should have strong hands-on experience with most of the following:
- Python
- SQL
- Machine Learning
- Deep Learning
- Large Language Models (LLMs)
- Prompt Engineering
- Retrieval-Augmented Generation (RAG)
- AI Agent Development
- LangChain / LangGraph / LlamaIndex
- OpenAI API, Anthropic API, Gemini API, or similar LLM platforms
- PyTorch and/or TensorFlow
- Git
Experience with the following is considered a strong asset:
- MLOps
- Docker
- Kubernetes
- AWS, Azure, or Google Cloud
- Hugging Face
- Vector Databases (FAISS, Pinecone, Weaviate, Milvus)
- Model Fine-tuning and Deployment
Communication & Mentoring
- Excellent communication and interpersonal skills.
- Ability to explain complex technical concepts clearly to students with different technical backgrounds.
- Passion for mentoring and helping students succeed in the North American job market.
Work Authorization (Required)
- Must be legally authorized to work in the United States.
- Candidates must currently hold valid U.S. work authorization.
Language Requirements
- Fluent in English.
- Mandarin Chinese (written and spoken) is required, as the majority of our students are native Mandarin speakers.
Pay: $120.00 - $300.00 per hour
Work Location: Hybrid remote in Bellevue, WA 98005
