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Development of Teaching Materials

- Information

Job Description

NABLAS is seeking a Content Editor to develop materials for the AI talent development course "iLect." This role involves keeping abreast of the latest AI technologies and integrating them into course materials. While the responsibilities are diverse, you will start with tasks that align with your strengths.

★ About iLect

iLect primarily offers data scientist and deep learning courses to engineers from listed companies.


Key Responsibilities:

- Developing course materials (lecture slides, Jupyter Notebook exercise files)

- Designing the overall curriculum for courses

- Selecting technologies to incorporate into the curriculum

- Conducting surveys of the latest research

Key Requirements

  • Individuals who are passionate about staying updated on cutting-edge technology trends and are motivated to spread technical knowledge widely through educational content. 
  • Practical experience in Python
  • Experience with data analysis libraries (such as NumPy, Pandas, Matplotlib, scikit-learn), 
  • Coding experience using frameworks (like PyTorch, TensorFlow 2), 
  • Knowledge of calculus, linear algebra, and probability statistics at the level of undergraduate mathematics, 
  • A theoretical understanding of machine learning (equivalent to the content of PRML) and deep learning (including computer vision, natural language processing, generative models, reinforcement learning, etc.), 

You can specialize in any of these fields if you prefer.

Additional skills

We are seeking individuals with the following qualifications:

  • Experience in research and development using deep learning.
  • Development experience with Python.
  • Experience using version control systems like Git.
  • Ability to analyze and interpret data and results to clarify issues.
  • Participation or awards in data analysis competitions like Kaggle.
  • Participation or awards in competitive programming platforms like AtCoder.



Full-time / Outsourcing (negotiable)


To be determined based on experience and ability


Full remote is available.

Office : 1F Hongo Tsuna Building, 6-17-9 Hongo, Bunkyo-ku, Tokyo

Work Hours

Flextime system (core time / 10:30 - 16:00)

*Varies depending on employment status


  • 2 days off per week
  • National Holidays
  • Year-end and New Year holidays (December 30 - January 3)
  • Annual paid vacations
  • Special leave for new employees: 5 days upon hire
  • Refreshment leave: 5 days / year
  • Maternity/paternity leave, congratulation or condolence leave

*Varies depending on the employment status.


  • Executive allowance
  • Overtime allowance
  • Telecommuting allowance
  • Commuting allowance
  • Salary increase (as needed)
  • Bonus: Twice a year (based on performance and results)
  • Incentives

*Depends on employment status


  • Social insurance
  • Labor insurance
  • Corporate defined contribution pension plan
  • Trust-type stock option plan
  • Book purchase system
  • Kaggle and AtCoder support system
  • Use of Kilter Board

*Depends on employment status

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