Resumes show claims. We show proof. Computer Vision Developers assessed on model quantization for edge deployment, SLAM implementation, and attention mechanism architecture — so you interview candidates, not question marks.
No credit card required.
Talent Marketplaces give you a resume. We give you the source code.
Candidate A
Software Engineer
Self Reported
2024
Experience
5 years React / Frontend Development
No portfolio links
Previous Roles
X-Corp
Tech Solutions Inc.
Education
B.S. Computer Science — State University
• UNVERIFIED CLAIM
Verified ProofedVerified Engineer
ConnectDevs Intelligence Dossier
SAM TECH SCORE
98/100
CODE QUALITY
A+
TECHNICAL INTERVIEW HIGHLIGHTS
Play Recorded Proof
const solveHardProblem = (data) => {
return data.reduce((acc, val) => {
// Verified optimal O(n) solution
return { ...acc, [val.id]: val.performance };
}, {});
};DECISION-READY DATA
You set the criteria. Scout ranked the matches. Now choose who's worth your time.
7 Years
89%
Match Score
FinTech Global
Georgia Institute of Technology
B.S. Computer Science
2012 - 2016
Alex Mercer
Senior Mobile Engineer
2021 – Present
7 Years
89%
Match Score
FinTech Global
Georgia Institute of Technology
B.S. Computer Science
2012 - 2016
Sarah Chen
Senior Mobile Engineer
2021 – Present
7 Years
89%
Match Score
FinTech Global
Georgia Institute of Technology
B.S. Computer Science
2012 - 2016
David Rodriguez
Senior Mobile Engineer
2021 – Present
We analyze thousands of placements to give you real-time salary data for every experience level.
Role: Junior Computer Vision Developer
0-2 Years
Entry-level profile with a strong foundation in CNN architectures, image preprocessing pipelines, and basic object detection.
REQUIREMENTS
Degree in Computer Science or equivalent practical training.
Hands-on experience with OpenCV, PyTorch, or TensorFlow for image classification tasks.
Familiarity with convolutional neural network fundamentals and transfer learning approaches.
Junior Developer Hourly Rate
Average Yearly Salary ~$105k /yr
Market
Signal
Foundation Demand
Entry-level CV roles remain consistent as companies build out AI teams with junior support.
Role: Mid Computer Vision Developer
3-5 Years
Mid-level profile with proven expertise in model optimization, object segmentation, and production deployment pipelines.
REQUIREMENTS
Degree in Computer Science or equivalent practical training.
Demonstrated ability to optimize CNN models for inference speed using quantization and pruning techniques.
Experience deploying vision models to production environments with monitoring and versioning.
Mid Developer Hourly Rate
Average Yearly Salary ~$162k /yr
Market
Signal
Edge Deployment
Mid-level developers with edge optimization skills are in high demand for IoT and mobile applications.
Role: Senior Computer Vision Developer
6+ Years
Senior profile with deep mastery of spatial intelligence systems, SLAM architectures, and real-time inference optimization.
REQUIREMENTS
Degree in Computer Science or equivalent practical training.
Proven track record designing and deploying SLAM systems for autonomous navigation or AR/VR applications.
Experience leading computer vision architecture decisions for products handling millions of inference requests daily.
Senior Developer Hourly Rate
Average Yearly Salary ~$222k /yr
Market
Signal
Spatial Intelligence
Senior CV architects with SLAM and 3D vision expertise command premium rates as autonomous systems scale.
Traditional agencies take weeks. Our Intelligence Engine runs in parallel to deliver decision-ready profiles in real-time.
Hour 0
Signal Ingestion
You define the stack. Scout maps intent signals across 550M+ profiles.
Hours 2–24
Parallel Processing
Scout scans candidate profiles while Pilot launches multi-channel outreach. The system works asynchronously while you sleep.
Scout
Mass Ingestion
Parsing your role. Scanning 800M+ engineers. Surfacing matches—live results.
Pilot
Engagement
Sending interview invites. Tracking responses. Moving candidates to SAM—pipeline
SAM
Validation
Conducting interviews. Evaluating skills. Compiling decision-ready report now
const score = validate(dev);
if (score > 0.92) dispatch(shortlist);
Hour 48
You Receive Your Shortlist
3 Decision-Ready Profiles delivered to your dashboard.
STATUS: READY
Intelligent Shortlist
Candidates Found
1,204
Validated Skills
Computer Vision, Node, Go
Top Matches
03
Marketplaces show you profiles. We show you capability.
The Problem
When you browse a talent marketplace, you are guessing. You see a resume that claims '5 Years Computer Vision,' but you don't know:
Can they quantize a model from FP32 to INT8 without destroying accuracy, or do they only know how to call fit()?
Have they implemented SLAM for real-time navigation, or just followed a tutorial on object detection?
Do they understand attention mechanisms deeply enough to debug transformer-based vision models in production?
The Solution
ConnectDevs removes the guesswork. We don't just send profiles; we send Structured Intelligence. Every candidate is interviewed by SAM against the specific Computer Vision challenges you care about. You don't guess if they are good. You know.
Unverified Claim
Computer Vision Developer
5 Years Experience
Verified Proof
CODE CHALLENGE
Solve a problem using algorithms
SAM INTERVIEW
Discuss alternative approaches and their trade-offs
TECH SCORE
98/100 Algorithm Score
GITHUB AUDIT
Active Open Source Contributor
For Computer Vision Developers, we specifically test for model quantization for edge deployment, SLAM implementation, and attention mechanism architecture. You get the raw data before you even interview.
Agencies charge a markup every hour. We charge a flat platform fee. You keep the savings.
Number of developers
3 Devs
1
10
Role seniority
Base Salary: $120,000
Includes 35%
Zero Markup
Estimated Yearly Savings
If SAM doesn't surface interview-ready candidates your LinkedIn search missed—you pay nothing.
FLEXIBLE
0%
Zero Markup
We don't inflate developer rates or take recruitment fees.
Cancel Anytime
No lock-ins. No notice required. Keep your data.
Average time-to-shortlist
Global Talent Network
Most teams hiring Computer Vision experts also need infrastructure for model training, deployment pipelines, and data annotation workflows.
RELATED STACK
Everything you need to know about sourcing, assessing, and hiring top Computer Vision Developers through our platform.
SAM's technical interview challenges candidates with real-world scenarios requiring model quantization from 32-bit to 8-bit weights while maintaining accuracy thresholds. You receive a scored report showing their ability to balance inference speed against precision loss on resource-constrained hardware.
Senior Computer Vision developers with edge inference and spatial intelligence expertise command salaries between $195,000 and $250,000 annually. Traditional agencies extract 20-35% in placement fees. ConnectDevs operates on a flat $69/mo subscription with zero markup, dramatically reducing your total hiring cost.
The Scout agent searches 800M+ public profiles for signals in CNN architecture design, SLAM implementation, and production deployment experience. This delivers a targeted shortlist in days rather than the weeks typical of manual sourcing through LinkedIn or job boards.
For applications requiring real-time inference, spatial mapping, or medical imaging precision, dedicated Computer Vision specialists consistently outperform generalists. The depth required for execution plan optimization and hardware-specific deployment justifies the specialization premium.
SAM presents candidates with scenarios requiring simultaneous localization and mapping decisions, testing their understanding of LiDAR versus stereo vision trade-offs and real-time loop closure algorithms. The structured evaluation reveals whether they can architect systems for autonomous navigation or AR/VR spatial awareness.
Every ConnectDevs engagement provides raw assessment data upfront, including competency scores on quantization, attention mechanisms, and edge deployment. Audit the recorded technical interview before you invest your team's time to minimize the risk of a costly mis-hire.