- 경험
- 어느
- 샐러리
- 월 15,000~25,000 루피
- 채용 공고
- 1
- 게시됨
- 10시간 전
- 작업 모드
- 사무실에서
- 교육
- Bachelor's/Master's degree
- 적임
- Candidates with a bachelor’s or master’s degree in Computer Science, AI, Data Science, or a similar discipline, along with the required AI teaching and mentoring skills, can apply. Local candidates are preferred.
- 재개하다
- 신청 시 필수 사항
당신이 일하게 될 곳
직무 설명
About the Role
Rs Digital Academy is hiring an AI Mentor to teach learners and support them in building practical skills across artificial intelligence and related technologies. The position focuses on classroom training, hands-on guidance, student project mentoring, college seminar sessions, and internal AI model development. It is a flexible 8-hour, on-site role based in Trichy.
What You’ll Do
- Lead AI training sessions covering topics from the basics through advanced concepts, following the institute’s syllabus.
- Create practice assignments, exercises, and case studies based on real-world scenarios.
- Support final-year students with their AI projects and related problem-solving.
- Conduct guest lectures and seminar talks at colleges.
- Develop AI models for institutional use and research purposes.
- Keep pace with current AI advancements and bring relevant updates into training content.
- Offer career guidance and mentorship to students.
What We’re Looking For
- A bachelor’s or master’s degree in Computer Science, AI, Data Science, or a closely related discipline.
- Strong working knowledge of Python, TensorFlow, PyTorch, NLP, Computer Vision, and AI frameworks.
- Good understanding of machine learning, deep learning, and AI model deployment.
- Practical experience with AI tools such as Hugging Face, Replit, Cursor, and Google AI.
- Prior experience mentoring students or guiding AI-based projects.
- Clear English communication and confident presentation skills.
- A genuine interest in teaching and helping learners grow in AI.
Work Details
This is a full-time, permanent role with a day shift schedule. Working days are Monday through Saturday, with weekend availability expected. The job is based in person, and local candidates are preferred.
Benefits
- Flexible work environment with opportunities to continue learning.
- One compensatory day off each week.
- Access to current AI tools and research resources.
- Periodic refresher training from corporate experts.
- Free e-books for reference and study.
- Monetary benefits linked to revenue growth.
- Professional development and networking opportunities.
How to Apply
Interested candidates can send their resume and cover letter to the email address provided by the employer. A contact number is also available for queries.
Additional Information
One compensatory off is offered per week. The role is designed as an 8-hour flexible position. Local applicants are preferred.