Hire computer vision engineers for detection, OCR and video analytics

Cameras and scanned documents hold data your systems cannot read yet. Cubehire computer vision engineers build models that detect, count, read and track what is in an image or video stream, and tune them for the lighting, angles and hardware you actually have.

Hire Computer Vision Engineers How we vet them
The work

What our Computer Vision Engineers build

Typical projects companies bring a computer vision engineer in for.

1

Object detection and counting

Models that find products on shelves, vehicles in lots or defects on a production line in real time.

2

Document OCR and extraction

Reading invoices, IDs and forms into structured fields with confidence scores and review queues.

3

Video analytics

Tracking, activity recognition and event alerts from live or recorded camera feeds.

4

Edge deployment

Optimized models running on Jetson, mobile devices or in browser when sending video to the cloud is not an option.

Skills

Skills we test every computer vision engineer on

  • OpenCV
  • PyTorch
  • YOLO and detection models
  • Image segmentation
  • OCR with Tesseract or cloud APIs
  • Data labeling workflows
  • ONNX and TensorRT
  • Python
  • Video pipelines with FFmpeg
  • Transfer learning
  • Vision language models
  • Model quantization
Vetting

How we vet Computer Vision Engineers

Every computer vision engineer sits the Cubehire AI interview: multiple choice fundamentals, a timed written and coding round, and a recorded video round. A person on our team then reviews the profile before any company sees it. For this role, the interview checks that they can:

  1. Check 1

    Plans a detection model for a new use case, from labeling data to measuring precision and recall.

  2. Check 2

    Explains what to do when a model that tested well fails on real camera footage.

  3. Check 3

    Chooses between cloud and edge inference based on latency, cost and privacy.

Available now

Vetted Computer Vision Engineers in the network

Each profile carries a scored AI interview and a human review.

See the whole network

Tell us about your computer vision engineer role

New profiles are approved every week. Describe the role and we will send matched, interview scored Computer Vision Engineers within 48 hours.

Describe the role
How it works

Hire in 4 easy steps

From the first conversation to a signed engineer, without the six-week search in between.

01
Define
Tell us what you need

Describe the role, the stack and the work. No job spec required, a conversation is enough.

02
Discover
Meet the top engineers

Three to five matched engineers within 48 hours, each with their AI interview score attached.

03
Evaluate
Interview with ease

Pick who you want to meet and we handle the scheduling on both sides.

04
Onboard
Hire with confidence

Contracts, USD payroll and compliance handled. You get an engineer, not an admin project.

Terms

Simple terms for US companies

Shortlist in 48 hours

Three to five interview scored profiles that match your stack, delivered within two days.

Hours that overlap yours

A shifted working day agreed during hiring, with daily overlap with Eastern or Pacific time.

Contracts and payroll handled

We carry the paperwork and pay the developer in USD, so you are not opening an entity abroad.

Replacement guarantee

If the fit is not right, we replace the developer at no extra cost within the guarantee period.

Hiring Computer Vision Engineers

Questions about hiring Computer Vision Engineers

What companies ask before they hire a computer vision engineer through Cubehire.

Talk to our team
It depends on the task. With transfer learning, a few hundred well labeled images per class often gives a useful first model. Your engineer will start with a small labeled set, measure, and tell you where more data will help.
Often, yes. For flexible tasks like describing images or reading varied documents, a vision language model may be faster to ship. Custom models win on speed, cost and accuracy for narrow, high volume tasks.
Yes. Models can be compressed and exported to run on NVIDIA Jetson boards, phones or small servers on site, which keeps video private and response times low.
Your engineer agrees target precision and recall with you before building, measures them on footage from your environment, and reports honestly if the target needs better data or cameras to reach.
A flat rate quoted before you interview anyone: a one time fee for full time placements, or a fixed monthly rate for contract work. There is no percentage of salary. See the pricing page for current rates.

Still have a question about Cubehire?

Ask about vetting, pricing, contracts or how the AI interview works. Cubie, our assistant, answers straight away and raises a ticket for the team when it cannot.

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Ready to hire a computer vision engineer?

Tell us the stack and the work. You get matched, interview scored Computer Vision Engineers within 48 hours.

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