Computer Vision Intern is a role people hire badly more often than they hire slowly. The fix is upstream of the interview: a named deliverable, a named reviewer and a stipend you have actually benchmarked.
Computer Vision Intern is a well-defined brief, which helps at screening time: the skills below are specific enough that twenty minutes of questions will separate someone who has done the work from someone who has read about it.
People searching for computer vision intern often also look at computer vision research intern. The skills overlap heavily; what differs is emphasis, while computer vision research intern leans on research. If your requirement genuinely spans both, say so in the listing rather than picking one title and hoping.
This page is written for the person doing the hiring, not for candidates. It covers what to screen for, what the market pays in 2026, and what to put in the listing. Posting the Computer Vision role here is free.
What one Computer Vision intern actually does in the first 90 days
These are sized for a student with the fundamentals and no production experience, working under review. Pick one as the term goal rather than listing all five as expectations.
- Train a detector on our images and report mAP honestly
- Build the annotation guideline that makes labels consistent
- Get inference running fast enough on the target device
Computer Vision skills worth screening for
Rank them before the first interview. Deciding afterwards which mattered is how a shortlist gets re-ordered to fit whoever interviewed best.
- 1Image preprocessing and augmentation
- 2CNN architectures and transfer learning
- 3Object detection and segmentation basics
- 4Annotation quality and labelling workflow
- 5Evaluation: IoU, mAP
- 6Inference on constrained hardware
- 7Handling lighting and camera variation
A candidate who can walk you through one Computer Vision problem they solved — including what they tried that did not work — is worth more than a résumé carrying every tool on it.
Screening questions for computer vision intern
Use these on a first call. They are built so that someone who has done the work answers quickly, and someone who has read about it hedges.
Your model works in the lab and fails on site. Why?
What a good answer shows: Distribution shift, lighting, camera differences
How do you check annotation quality?
What a good answer shows: Whether they know labels are the real bottleneck
Write the answers down as you go. On a shortlist of fifteen, memory reliably favours whoever you interviewed last.
Where the Computer Vision candidates come from
The registered pool spans India’s premium institutes — IIT, IIM, BITS, NIT, Symbiosis — and the strong regional colleges that produce most of the country’s working engineers and analysts. Employers are verified before publishing, so candidates treat these listings as real.
- Skill tags — filter directly on Python, OpenCV, PyTorch and the rest of the Computer Vision stack
- Degree and branch, for the roles where the coursework genuinely matters
- Languages, for roles with customer or field contact across states
- Prior computer vision exposure — coursework, personal projects or a previous internship
- City and willingness to relocate, or remote-only if the role is remote
You can also work the other way round: search the pool first, shortlist the Computer Vision profiles you want, and post the listing knowing who you are hoping to reach.
What to pay one Computer Vision intern in 2026
Budget ₹19,000–₹46,000 a month, and decide where in the band you sit before the first interview rather than during the offer call.
If this role can become full-time, say so and treat the stipend as the first rung rather than the whole compensation conversation. It materially widens who applies.
It filters for who can afford to work free, not who is good. It also roughly halves your applications, and removes most of the candidates who had a second option.
A remote role competes with every city’s employers for the same candidate. Discounting a remote stipend to tier-2 levels loses you the tier-1 applicants you opened it up to reach.
The stipend calculator on this site uses live listing data for this role and city. A band chosen from memory is usually a year out of date, always in the same direction.
Scoping a single Computer Vision intern properly
One intern, one owner, one project that matters. Single hires fail for a boring reason: the work was never scoped, so the intern spent the term on whatever was in front of whoever was free that day.
Pick one item from the Computer Vision list above and make it the term’s goal. If nobody can name the deliverable, the role is not ready to post.
One person who reviews the work weekly and answers questions daily. Shared ownership at this level means nobody owns it.
Access, environment, a first small task and a person to sit with. The first week decides whether you get twelve productive weeks or eight.
A halfway review lets you change scope while it still matters and gives feedback while the intern can still act on it.
How to post computer vision intern on MyInternships.in
You do not need a prepared job description. Answer a few questions in the chat and the assistant drafts the listing, title and skill tags for you.
Say what you need — "Computer Vision Intern for a three-month project, Python and OpenCV" — and answer a few short questions. No forms.
You get a full Computer Vision listing back in seconds, written to attract applications rather than to satisfy a form. Change anything you disagree with.
We check the company behind every listing before it publishes. Candidates see that badge, and it is the difference between a listing being ignored and being answered.
Usually within a couple of hours. Shortlist using the screening questions above, or let the AI matcher rank the pool against your brief.
Free plan: one listing, live after verification. Starter ₹499: five listings a month, published instantly, full applicant contact and résumé access. Growth ₹999: fifteen listings with AI candidate matching.
Mistakes that cost you the good Computer Vision candidates
Four failures we see repeatedly on this kind of role, in rough order of what they cost.
A Computer Vision listing with fourteen required tools reads as a company that does not know what it needs. Strong candidates self-select out; the ones who apply anyway have inflated their CVs to match.
Definition questions test revision, not ability. Ask about something they built and follow their answer — the depth appears within two follow-ups.
Requirement lists assembled from other postings read as generic and attract generic applications. Write what this person will actually do this term.
An intern who spends week one waiting for a laptop and accounts rarely recovers the momentum. Prepare day one before you make the offer.
Computer Vision Intern — frequently asked questions
What skills should computer vision intern have?+
The three that matter most are Image preprocessing and augmentation; CNN architectures and transfer learning; Object detection and segmentation basics. Beyond those, look for working familiarity with Python, OpenCV, PyTorch. Everything else on the list above is teachable inside a term — treating it as an entry requirement shrinks your pool without improving the hire.
What can computer vision intern realistically deliver?+
Train a detector on our images and report mAP honestly. That is sized for eight to twelve weeks of supervised work by someone with the fundamentals and no production experience. A second, smaller piece — build the annotation guideline that makes labels consistent — usually fits alongside it. Anything requiring independent production judgement should stay with the reviewer.
Is ₹19,000 a month enough for computer vision intern?+
It is the bottom of the working band, and appropriate for a smaller city or a shorter commitment. In Bengaluru, Hyderabad, Pune, Mumbai or the NCR, expect to be closer to ₹46,000 for the same skills — you are competing with every other employer for the same few candidates. Decide where in the ₹19,000–₹46,000 band you sit before the first interview rather than during the offer call.
What is the fastest way to tell a strong Computer Vision candidate from a weak one?+
Ask about something that went wrong. "Your model works in the lab and fails on site. Why?" gets you distribution shift, lighting, camera differences, and two follow-up questions on their own example will tell you the depth. Candidates who have only studied the topic run out of specifics almost immediately.
What should a Computer Vision intern deliver by the end of the term?+
One finished, reviewed piece of work that someone on the team would otherwise have done — not a side project nobody adopts. The deliverables above are sized for eight to twelve weeks of supervised work by a student with the fundamentals but no production experience. If they can demo it and the team keeps using it after they leave, the hire paid for itself.
Can we convert computer vision intern into a full-time hire?+
Yes, and it is usually the cheapest senior-quality hire available to you: no agency fee, no technical ramp on your stack, and an assessment based on months of work rather than two interviews. Say so in the listing if conversion is genuinely possible — it widens the applicant pool measurably and costs nothing.
Is posting computer vision intern on MyInternships.in free?+
Yes. One listing is free and goes live after a quick company verification, usually inside two working days. Paid plans start at ₹499 for five postings a month, publish instantly with no review wait, and unlock every applicant's résumé and contact details. Both routes reach the same candidate pool.
Do we need a job description ready before posting computer vision intern?+
No. The posting assistant asks a few short questions — the role, the work, the duration, the stipend — and drafts the description, the title and the skill tags for you. You review and edit everything before it publishes, and you can paste in your own description if you already have one.
Related roles employers hire alongside computer vision intern
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