AI & Robotics Faculty Job (ACES Infotech): Important Truths You Must Know Before Applying

Today, the word “AI” instantly makes people think of high salaries, foreign projects, and cutting-edge research.

But the reality is simple: not all AI jobs are the same.

The AI & Robotics Faculty role at ACES Infotech Pvt. Ltd. stands exactly at that point where many applicants apply first—and only later realize, “This job is not for me.”

In this blog, I will clearly explain:

• What the real objective of this job is
• What work you’ll actually be doing
• Who this job is truly meant for
• The 3 questions you must ask yourself before applying
• How to prepare before applying
• And most importantly, why I explain these AI job posts separately

What Is the Real Objective of This Job?

In simple terms:

 This is NOT an AI Engineer or AI Researcher role.

The core objective of this job is:

To teach basic AI & Robotics concepts to secondary school students (Classes VI–X).

ACES Infotech has been working for decades in:

• School Computer Education
• NSDC-approved skill training
• Professional computer courses

Now, they are implementing AI & Robotics as a school-level subject and need faculty for that purpose.

The focus here is:

• Giving students exposure to future-ready skills
• Removing fear of coding
• Teaching basic robotics logic

❌ No advanced ML model building

❌ No production-level AI systems

❌ No industry R&D work

These are outside the scope of this job.

What Kind of Work Will You Actually Do?

Job descriptions can often be misleading. So let’s break down the real work clearly.

1. Classroom Teaching (Primary Responsibility)

You will regularly:

• Take classes for ICSE / CBSE students from Class VI to X
• Teach AI & Robotics
• Follow an offline or predefined school curriculum

Students will:

• Learn basic Python
• Understand what AI is and where it is used
• Build simple projects using robotics kits

2. Python (Beginner Level Only)

Python here means:

• Variables
• Loops
• Conditions
• Simple logic building

❌ Data Science

❌ Deep Learning

❌ TensorFlow / PyTorch

None of these are required for this role.

3. Robotics Practical Handling

This includes:

• Arduino or basic robotics kits
• Sensors, motors, LEDs
• Movement using block-based or simple code

If you have previously:

• Worked in a robotics lab
• Guided school-level projects

That’s a strong plus point.

4. Student Interaction & Doubt Solving

This is the most underrated part of the job.

You must understand:

• Where students usually get confused
• How to explain complex ideas in simple language
• How to teach without creating fear

This is a pure teaching role, not a tech job.

So, Who Is This Job Really For?

This job is not for everyone. Let’s be very clear.

 This Job Is for You If:

• You are genuinely interested in teaching
• You want to teach in schools, diploma institutes, or training centers
• You prefer a stable, fixed monthly income
• You know basic Python and Robotics
• You want to build a long-term academic + skill-training career

❌ This Job Is NOT for You If:

• You want to become an AI / ML Engineer
• You aim to build products in startups or MNCs
• You want to do high-end AI research
• You are looking for remote global client projects

The salary range of ₹12k–₹18k exists because:

 This is an entry-level teaching role, not an industry AI role.

Before Applying, Ask Yourself These 3 Questions

I recommend these questions for every AI-tagged job because they act as a reality check.

 Which AI Tools Will I Use in This Job?

Likely tools include:

• Python (basic IDE / IDLE / VS Code)
• Arduino IDE
• Robotics kits
• Possibly block-based AI tools (school level)

If you’re thinking about ChatGPT, AutoML, LangChain—

Those are not relevant here.

 Have I Actually Used These Tools Before?

Ask yourself honestly:

• Have I taught Python to beginners?
• Have I handled robotics kits?
• Can I explain concepts in a classroom?

Watching YouTube tutorials is not the same as teaching students.

 Can I Prove This Experience on My CV?

Your CV should include:

• Teaching experience
• Workshops or training conducted
• Robotics project descriptions or photos
• School or institute associations

Writing “Interested in AI” is not enough.

How Should You Prepare Before Applying?

This part is crucial.

Step 1: Review School-Level AI Syllabus

Download the CBSE / ICSE AI syllabus.

You’ll see topics like:

• AI ethics
• AI applications
• Simple datasets
• Problem-solving logic

Step 2: Revise Basic Python

You only need:

• Input / output
• If-else
• Loops
• Functions

Nothing advanced.

Step 3: Refresh Robotics Practical Knowledge

If you don’t have a kit:

• Watch school-level robotics demos on YouTube
• Revise Arduino basics

Step 4: Make Your CV Teaching-Focused

Reduce AI buzzwords.

Recruiters here care about one thing:

 Can you teach or not?

Why Do I Explain These AI Job Posts Separately?

Because there is a real problem.

Today:

• Jobs are tagged with “AI” for attention
• Freshers assume every AI job is a dream job
• Disappointment comes after joining

My goal is:

• To give people a clear picture before applying
• To prevent wrong expectations
• To help them make conscious career decisions

Not all AI jobs are bad,

but not all AI jobs are for everyone either.

Don’t apply just because it says AI—first understand whether this role is actually meant for you.

Final Verdict: Should You Apply or Not?

In short:

If you have a teaching background,

If you are comfortable teaching basic AI & Robotics,

If you want a stable academic career,

 Then this job is worth applying for.

But if:

• You are aiming for industry AI roles
• You dream of high-salary AI careers

 It’s better to skip this one. 

Apply Now

If you want honest, no-hype AI job breakdowns like this regularly,

tell me—I’ll explain the next job the same way.