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Hire vetted Computer Vision Engineers who deliver detection, segmentation and video analytics from cloud to edge. Shortlist in 48 hours; working within 4 working days.
Fig. 01AI & Data
Computer Vision Engineer
AI & Data
AvailabilityShortlist in 48 h
Vetted Computer Vision Engineer profiles free to start within 4 working days of signature. Counts appear in bands (5–10, 10–20, 20+); below 5 a role shows “Shortlist in 48 h” instead of a number.
Indicative monthly rate per seat
| Level | Experience | From (USD / month) |
|---|---|---|
| Mid | 4–6 years | 5,560 |
| Senior | 6–9 years | 7,310 |
| Lead | 9+ years | 9,500 |
Quotation-based. VAT shown separately. View in SAR, AED, USD or EUR. Quotes valid for 30 days.
Includes the AI & Data practice rate of +25% on the base band.
Remote Pro Ai places vetted Computer Vision Engineers who deliver detection, segmentation and video analytics from cloud to edge. They train models such as YOLO or Detectron2 on your own footage, then optimise them with TensorRT, ONNX or OpenVINO to meet strict latency budgets on cameras and edge devices.
Your Computer Vision Engineer trains and optimises detection / segmentation / OCR models on custom datasets, and builds data annotation pipelines and active-learning loops. Typical stack: PyTorch, OpenCV, YOLO, Detectron2 and TensorRT.
Smart-city, industrial and giga-project programmes across the Gulf are deploying cameras and sensors at scale, and the value depends on models that run reliably at the edge. Vision work has moved from demos to safety-critical inspection and monitoring, raising demand for engineers who can validate, optimise and maintain models in the field.
Illustrative profiles that mirror the vetted bench for this role. Names, employers, full gate scores and video introductions, where recorded, are shared after the click-through NDA.
Computer Vision Engineer
Senior7 years
Remote Pro Ai Vetted Verify credential RP-9208
Computer Vision Engineer
Lead13 years
Remote Pro Ai Vetted Verify credential RP-1827
Computer Vision Engineer
Mid5 years
Remote Pro Ai Vetted Verify credential RP-3446
Illustrative profiles that mirror the vetted bench for this role, anonymised. Names, employers, full scores and credentials are shared after the mutual NDA in the booking flow.
Trains and optimises detection / segmentation / OCR models on custom datasets
Deploys to edge with TensorRT, ONNX and OpenVINO under latency budgets
Builds data annotation pipelines and active-learning loops
Integrates with cameras, IoT and streaming infrastructure
Validates models for safety-critical use with rigorous test protocols
Toolset on our bench
We test each capability in a live technical assessment scored by a practice lead. Nothing on this list is taken from a CV.
Mid4–6 years
Delivers well-scoped work independently within your architecture and standards.
from USD 5,560/month
Senior6–9 years
Owns a component or workstream end to end, reviews code and mentors.
from USD 7,310/month
Lead9+ years
Sets technical direction, leads the squad and reports to your leadership.
from USD 9,500/month
We never place junior profiles. A practice lead confirms every level, so the band you buy is the scope you get.
Typical certifications held by our Computer Vision Engineer bench: NVIDIA DLI · AWS ML Specialty. We verify every certificate with the issuing body before a profile reaches you, and list verified credentials on each profile card.
Remote Pro Ai information security: ISO/IEC 27001 certification in progress (target Q2 2027) · SOC 2 Type II planned for 2027. Evidence and policies are in the Trust Center.
Not sure this is the right role? Describe the outcome you need and the Scope Agent maps it to roles, levels and a draft squad in minutes.
A transport operator, Dubai
smart-mobility data platform
7 engineers · 10 months
Real-time sensor ingestion, streaming analytics, operations dashboards and an open-data API in a UAE cloud region
MatchIQ™ is our vetting and matching engine: 3.4% of applicants pass 5 gates. The live assessment for this role tests the 5 capabilities above against a realistic task, not trivia.
Self-serve bookings receive a shortlist within 48 hours and enterprise requests get named candidates within 72 hours. After you approve a profile and sign, your specialist is working within 4 working days, whether the request is on the bench, off-bench or on-site. When fewer than 5 Computer Vision Engineer profiles are on the bench, we shortlist from the wider vetted network in the same 48 hours.
Pricing is quotation-based and depends on level, hours and any on-site, clearance or data-residency needs. Current bands: Mid from USD 5,560/month · Senior from USD 7,310/month · Lead from USD 9,500/month. VAT is shown separately, quotes can be viewed in SAR, AED, USD or EUR, and every quotation is valid for 30 days. The Squad Builder shows your quote instantly.
Remote Pro Ai is contractually responsible for quality. Raise it at any time: a replacement starts within 4 working days; the full handover completes in under 14 days. Your first engagement also begins with a no-bill trial, one per company: 5 working days on self-serve bookings and 10 on enterprise contracts.
This role is offered at Mid, Senior and Lead level. We never place junior profiles. A practice lead confirms each specialist’s level through a live technical assessment and reference checks, so the band on your quotation reflects scope the person has already delivered rather than a job title on a CV.
Yes. Engineers convert and optimise models with TensorRT, ONNX and OpenVINO, deploy them to GPU-equipped or industrial edge devices, and stream results through NVIDIA DeepStream or your own pipeline. Every deployment is tested against agreed latency and accuracy targets on the actual hardware, not only in the cloud.
Engineers set up annotation pipelines with clear labelling guides and quality checks, then use active learning so labellers focus on the images the model finds hardest. That usually needs far fewer labels than random sampling, and the model keeps improving as new footage arrives from site.
Yes. OCR is among the tasks our engineers train on custom datasets, including Arabic and bilingual text on signage, licence plates and forms. They handle right-to-left script, mixed fonts and poor lighting, and validate accuracy on images captured in your real environment.
Engineers apply rigorous test protocols: held-out data from every site and lighting condition, edge-case libraries, false-positive and false-negative analysis by class, and sign-off criteria agreed with your safety owners. Models are re-validated after every retraining before they return to production.
Add this role to a squad, see your quote instantly, and hold profiles free for 72 hours.
Build your squad online
No card needed · 72 h free hold · No-bill trial: 5 working days self-serve, 10 in the Enterprise lane.
20 minutes with a solutions architect
No sales script.