AI Trainer ( Project Based)

2 years

0 Lacs

Posted:1 week ago| Platform: GlassDoor logo

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Work Mode

Remote

Job Type

Part Time

Job Description

Job Title: AI Trainer (Project-Based / Freelance)

Location: On-Site
Job Type: Project-Based / Freelance
Experience Required: 2+ years in AI/ML training or practical AI development

Job Summary:

We are seeking a skilled AI Trainer on a project basis to conduct hands-on training sessions for interns and new employees. The ideal candidate should have strong expertise in AI tools and the ability to explain AI/ML concepts clearly while providing practical training.

Key Responsibilities:

  • Deliver project-based training programs on AI/ML fundamentals and tools.
  • Train interns and freshers on essential AI tools and frameworks including:
  • Python and libraries like NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch
  • Jupyter Notebook / Google Colab for practical coding
  • OpenAI tools (e.g., ChatGPT, API usage)
  • NLP libraries such as spaCy, NLTK
  • Data visualization tools like Matplotlib, Seaborn
  • Version control using Git/GitHub
  • Prepare training materials, hands-on assignments, and evaluations.
  • Provide feedback and support to trainees during the training period.
  • Update training content based on latest AI developments.
  • Work remotely with flexible hours, delivering sessions according to project schedules.

Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Data Science, AI or related field.
  • Minimum 2 years’ experience in AI/ML development and/or training.
  • Proven ability to train or mentor beginners in AI tools and technologies.
  • Excellent communication and presentation skills.
  • Self-motivated and able to manage training projects independently.

Preferred:

  • Experience with cloud AI platforms (AWS, GCP, Azure).
  • Knowledge of Generative AI tools.
  • Relevant certifications in AI/ML training.

Job Types: Contractual / Temporary, Freelance
Contract length: 3 months

Pay: From ₹2,000.00 per month

Schedule:

  • Day shift
  • Morning shift

Supplemental Pay:

  • Commission pay

Language:

  • English (Preferred)

Work Location: In person

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