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Remote | Computer Vision Research & Evaluation Specialist — $75–$105/hour

August 1, 2026

We are sharing a specialised part-time consulting opportunity for computer vision professionals experienced in visual recognition, detection, segmentation, multimodal reasoning, image and video generation, Python development, and advanced model evaluation.

This role supports a remote collaboration focused on improving how advanced AI systems interpret, reason about, and generate visual information. Selected professionals will apply their computer vision expertise to design realistic technical tasks, develop rigorous reference solutions, evaluate model performance, identify capability gaps, and contribute to high-quality vision assessment workflows.

Key Responsibilities

Computer Vision Task Development

Design challenging, real-world computer vision problems based on applied industry, research, or open-source experience
Develop tasks involving object detection, segmentation, recognition, tracking, multimodal reasoning, and vision-language systems
Create image and video generation challenges targeting specific technical capabilities
Calibrate task difficulty, expected behavior, and evaluation criteria against modern computer vision standards

Reference Solution & Evaluation Environment Creation

Build clear specifications, reference solutions, and supporting technical materials
Prepare executable tests and validation workflows using Python where applicable
Integrate tasks into structured development and evaluation environments
Review reference implementations for correctness, reproducibility, and technical quality

Model Performance Evaluation

Evaluate advanced model outputs across visual understanding, reasoning, generation, and agentic workflows
Assess outputs for correctness, robustness, consistency, and alignment with task requirements
Identify failure cases involving perception, localization, classification, spatial reasoning, or multimodal interpretation
Document evaluation decisions clearly and support findings with technical evidence

Capability Gap Analysis

Identify tasks where meaningful performance headroom remains
Classify model failures according to their technical cause and severity
Distinguish between reasoning errors, implementation issues, perception failures, and evaluation limitations
Collaborate with other subject-matter experts to maintain consistent and accurate assessment standards

Ideal Profile

Strong candidates may have:

Deep hands-on experience in computer vision through industry work, academic research, graduate study, or open-source contributions
Practical proficiency in Python used in research, production, or technical development environments
Strong understanding of modern computer vision methods, deep learning architectures, and evaluation practices
Experience with object detection, segmentation, recognition, vision-language systems, or generative vision models
Ability to design technically rigorous tasks and analyze model behavior independently
Strong written communication and time-management skills
Availability to contribute approximately 20 hours per week
Current location in the United States

Educational Background

A degree in computer science, electrical engineering, computer engineering, applied mathematics, robotics, or a related technical field is helpful
Graduate-level research or doctoral training in computer vision, machine learning, artificial intelligence, or a related discipline is highly relevant
Professional experience developing or evaluating production computer vision systems is also highly valuable
Equivalent hands-on experience through established open-source or research contributions may be considered

Nice to Have

Experience with PyTorch, TensorFlow, OpenCV, or comparable computer vision frameworks
Familiarity with vision transformers, convolutional architectures, diffusion models, or multimodal foundation models
Experience building datasets, evaluation benchmarks, test harnesses, or reproducible research pipelines
Knowledge of standard computer vision metrics and error-analysis methodologies
Experience with image or video generation, visual question answering, or agent-based vision systems
Previous involvement in AI training, model evaluation, technical benchmarking, or structured data review
Open-source contributions related to computer vision, machine learning, or evaluation tooling

Why This Opportunity

Apply advanced computer vision expertise to structured remote work
Contribute to the development of stronger visual reasoning and multimodal evaluation systems
Design realistic tasks aligned with your technical specialization and practical experience
Use your ability to identify subtle model failures and assess complex visual outputs
Participate in flexible, high-impact technical work with competitive hourly compensation

Contract Details

Part-time W-2 contingent employment arrangement
Fully remote within the United States
Expected commitment of approximately 20 hours per week
Competitive rates between $75–$105 per hour depending on experience, technical depth, and project scope
Role-based engagement involving collaboration with technical experts and evaluation teams
Work schedules and engagement details may be adjusted depending on scope, performance, and business needs
Work will not involve access to confidential or proprietary information from any employer, client, or institution

About the Platform

This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.

By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy:

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Common Interview Questions And Answers

1. HOW DO YOU PLAN YOUR DAY?

This is what this question poses: When do you focus and start working seriously? What are the hours you work optimally? Are you a night owl? A morning bird? Remote teams can be made up of people working on different shifts and around the world, so you won't necessarily be stuck in the 9-5 schedule if it's not for you...

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This is a great question because it shows your comfort level with technology, which is very important for a remote worker because you will be working with technology over time...