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Freelance AI Trainer

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Remote, India Dot Net Tricks Full time ₹ 2,50,000 - ₹ 3,00,000 per year

About ScholarHat

ScholarHat is an EdTech platform dedicated to upskilling students, graduates, and working professionals in high-demand technologies such as AI, Cloud, Full Stack Development, DevOps, and .NET. We offer industry-led training, masterclasses, real-world projects, and placement opportunities with top MNCs and startups.

Key Responsibilities

  • Deliver high-quality training sessions on Artificial Intelligence, Machine Learning, Deep Learning, and Generative AI.
  • Prepare structured lesson plans, hands-on labs, assignments, and real-world project workflows.
  • Teach foundational and advanced concepts such as NLP, Computer Vision, Model Deployment, and AI industry practices.
  • Conduct live sessions, doubt-clearing classes, assessments, and student evaluations.
  • Guide learners through capstone projects and best industry practices.
  • Collaborate with the content, marketing, and academic teams to refine training modules.
  • Stay updated with the latest AI frameworks and tools.

RequirementsEducation

  • B.Tech (CS/IT), BCA, MCA, M.Tech, or any technical degree (Must have technical background)

Experience

  • Minimum 5-10 years' experience in AI/ML development & training combined
  • Prior teaching, mentoring, or training experience

Skills

  • Strong understanding of Python, NumPy, Pandas, Scikit-Learn
  • Experience in TensorFlow, Keras, PyTorch
  • Knowledge of LLMs, Prompt Engineering, Generative AI tools
  • Strong communication and presentation skills
  • Ability to simplify complex concepts for students

What We Offer

  • Flexible freelance timings
  • High-quality student base from top institutions
  • Opportunity to become a full-time trainer based on performance
  • Competitive per-session compensation

Job Types: Part-time, Freelance

Contract length: 12 months

Pay: ₹1, ₹2,500.00 per hour

Expected hours: 6 per week

Benefits:

  • Flexible schedule
  • Work from home

Work Location: Remote