Future Gurukuls is building a strong network of trainers who can teach Computer, Coding, AI, Robotics and IoT in school innovation labs (similar to Atal Tinkering Lab). We hire raw talent, train them, and deploy them in schools for hands-on, project-based learning.
Future Gurukuls builds innovation labs inside schools and delivers structured future-skills education through an expert trainer network, curriculum, DIY kits, and project-based methodology.
Make school students future-ready through practical learning in Coding, AI, Robotics, IoT and innovation projects.
School labs designed for hands-on STEM learning (similar to Atal Tinkering Lab) with structured curriculum + projects.
We hire raw talent, train them on curriculum and classroom handling, then deploy them in schools with ongoing support.
You will teach school students in an FG Innovation Lab environment. This role is a mix of teaching + lab facilitation + project mentoring.
Freshers or early-career graduates who love learning, can explain concepts simply, and are confident teaching students.
Communication, classroom confidence, learning speed, and a strong “student-first” teaching mindset.
Selected candidates will be required to sign a one-year service agreement before training.
Salary is offered as a band. Exact monthly salary is decided after application review and evaluated during training.
| Salary Band | Typical Candidate Profile | Notes |
|---|---|---|
| ₹16,000 - ₹18,000 / month | Entry-level / freshers with basic aptitude and learning willingness | Typical starting band; assigned based on qualifications and initial assessment. |
| ₹19,000 - ₹23,000 / month | Candidates with relevant skills, stronger communication or some prior exposure | Common band for candidates who demonstrate teaching potential and technical clarity. |
| ₹22,000 - ₹25,000+ / month | Highly skilled candidates or those with relevant prior experience | Top band; exceptional performance in training can result in offers above ₹25,000. |
The final salary band and exact monthly amount depend on your qualification, skills, prior knowledge and most importantly your performance during the training period. We confirm the exact salary after training evaluation.
Our process is designed to identify teachable talent—not just degree holders. Each stage checks a real classroom requirement.
The test is designed for freshers and focuses on fundamentals needed to teach in an innovation lab environment. It checks thinking, clarity, and basic technical foundation.
| Section | What It Measures | Question Type | Suggested Time |
|---|---|---|---|
| Logical Reasoning | Problem-solving, patterns, analytical thinking | MCQ | 15 min |
| Computer Fundamentals | Basic OS, internet, files, devices, troubleshooting concepts | MCQ | 10 min |
| Programming Logic | Flowchart/pseudocode, output prediction, basic logic (Python/C-level) | MCQ + short answers | 15 min |
| Robotics & Electronics Basics | LED, resistor, sensors, motors, Arduino basics, circuit concepts | MCQ | 10 min |
| Teaching Aptitude | How simply you can explain concepts to school students | Written (subjective) | 15 min |
| Communication Check | Instruction writing, clarity, structure, grammar | Written (subjective) | 10 min |
60–75 minutes (depending on campus drive schedule).
Fundamentals + teachability + clarity (not advanced coding).
Short micro-teaching demo to check real classroom readiness.
Trainers are supported with a structured curriculum system and continuous guidance so they can deliver high-quality sessions confidently.
We conduct campus drives with a structured written test + demo round. Colleges can coordinate a recruitment day and share the application link with students.
Pre-briefing → Written test → Demo round → Interview → Shortlist.
Classroom, projector (optional), and basic seating. Test can be online or offline.
Students can apply through the “Apply Now” button and submit the Registration form.
Quick answers for candidates and placement coordinators.
No. We prefer strong communication and learning ability. You will receive structured training on curriculum and class handling.
Hands-on sessions in FG Innovation Labs: computer basics, coding fundamentals, AI basics, robotics activities, IoT projects and mentoring.
After training completion, candidates are evaluated on teaching readiness, communication, lab discipline, and technical clarity.
Yes. Selected candidates are required to sign a one-year service agreement before training.
Deployment is based on partner school requirements and organizational needs. Willingness to work in tier-2/tier-3 locations is preferred.
Get in touch for campus drives, hiring, partnerships or general enquiries.
4th Floor, Innovation Hub, CAS Building, AKTU, Janakipuram, Lucknow