On a mission to make tech careers accessible to everyone, no matter their financial or educational backgrounds.

Masai

About the Opportunity
Masai School, in academic collaboration with a premier institute, is looking for an experienced Teaching Assistant – Artificial Intelligence &amp; Machine Learning to support learners enrolled in an online AI/ML program.
As a Teaching Assistant, you will work closely with learners to help them understand AI/ML concepts, solve technical doubts, debug code, and apply their learning through practical projects.
This is a great opportunity for AI/ML professionals who enjoy teaching, mentoring, problem-solving, and helping others build strong technical foundations.
Institution: Masai School, in academic collaboration with a premier institute Program: Artificial Intelligence &amp; Machine Learning Time Commitment: 6–8 hours per week 
Key ResponsibilitiesTeaching &amp; Doubt Resolution
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Conduct weekly doubt-solving and tutorial sessions in Odia.
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Help learners understand AI/ML concepts, Python programming, and machine learning workflows.
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Simplify complex technical concepts using practical examples.
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Support learners with coding challenges, assignments, and AI/ML projects.
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Help learners troubleshoot and debug Python and ML implementations.
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Technical &amp; Academic Support
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Guide learners on data preprocessing, feature engineering, model selection, training, and evaluation.
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Support learners with Supervised and Unsupervised Learning concepts and algorithms.
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Help learners understand and implement ML models using Scikit-learn, PyTorch, or TensorFlow.
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Guide learners in understanding model performance and improving their ML solutions.
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Help learners understand basic model deployment and production workflows.
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Project &amp; Industry Support
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Help learners build practical AI/ML projects and portfolios.
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Review learner code, notebooks, assignments, and projects.
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Provide actionable technical feedback to improve project quality.
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Share real-world AI/ML use cases and industry practices.
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Guide learners on standard ML tools, libraries, workflows, and development practices.
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Help learners understand concepts such as model evaluation, feature engineering, overfitting, optimization, and deployment.
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Learner Engagement
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Provide regular feedback and technical guidance to learners.
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Encourage learners to actively participate in sessions and discussions.
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Track learner progress and highlight technical challenges to the academic team.
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Support learners in completing projects and overcoming technical blockers.
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Contribute feedback to improve the learning experience and course delivery.
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Candidate Requirements Must Have
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2+ years of hands-on experience in Artificial Intelligence / Machine Learning.
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Strong Python programming skills.
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Good understanding of:
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Data preprocessing and feature engineering
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Supervised and unsupervised learning
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ML algorithms and model evaluation
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Basics of deep learning
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Hands-on experience with NumPy, Pandas, Scikit-learn, and TensorFlow or PyTorch.
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Practical experience working on AI/ML projects.
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Prior experience in teaching, mentoring, training, or technical support.
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Strong Odia communication skills with the ability to explain technical concepts clearly.
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Good to Have
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Experience with ML model deployment or production workflows.
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Familiarity with MLOps and Docker.
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Experience with NLP or Computer Vision projects.
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Familiarity with Git, Jupyter, and cloud platforms.
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Experience conducting technical interviews or assessments.
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Experience reviewing ML projects, portfolios, or resumes.
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Experience mentoring students, developers, or early-career professionals.
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Why Join Us?
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Make a direct impact on learners building careers in AI and Machine Learning.
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Help learners build practical, industry-relevant AI/ML projects.
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Work remotely with a flexible 6–8 hours per week commitment.
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Collaborate with Masai School and a premier academic institution.
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Share your industry experience while developing your teaching and mentoring skills.
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Stay connected with evolving AI/ML technologies and industry practices.
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