OpenCV & YOLO Expert, Review AI-Generated Code

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect people to hands-on work that shapes how AI models learn and behave, and creating an OpenTrain account is free.

OpenTrain AI is the hiring and contracting organization for this role. This position is a contract, part-time opportunity contributing directly to improving AI-generated technical content and developer workflows.

About AI Training Work

AI training (data labeling and human feedback) is the human side of building smarter models: people annotate, evaluate, and improve model outputs so systems perform accurately in the real world. These projects are often remote, flexible, and accessible to experienced technical contributors who want to shape modern computer vision systems.

This role focuses on evaluating and improving AI-generated code and explanations for computer vision tasks using OpenCV and YOLO, an area where expert human review directly improves model reliability and developer experience.

The Role

You will act as an AI interviewer and technical reviewer focused on OpenCV and YOLO. Your primary job is to assess AI-generated prompts, code snippets, and written responses for technical accuracy, performance, and best practices, then provide clear, structured feedback and improved rewrites.

This is a remote, contract position for under 20 hours per week. Compensation is $30 USD per hour. Work is worldwide; excellent written English is required for delivering concise, professional evaluations and interview notes.

What You'll Do

Conduct structured technical interviews that evaluate candidates' OpenCV and YOLO expertise while keeping the conversation professional and engaging.

Review AI-generated code, explanations, and recommendations related to image processing and object detection, and judge them against real-world best practices.

• Assess AI-generated OpenCV code for correctness, efficiency, and proper use of OpenCV APIs.
• Evaluate YOLO model-related content (v4/v5/v7/v8): architecture, training, dataset preprocessing, and inference considerations.
• Identify bugs, inefficiencies, missing context, or misleading guidance in AI responses.
• Provide clear, step-by-step feedback and improved rewrites of AI-generated answers and code.
• Suggest optimizations for real-time inference (quantization, pruning, TensorRT/ONNX, CUDA acceleration).
• Write concise, professional code review comments and interview summaries.

Requirements

We require specific hands-on experience and strong written communication: you must be able to explain technical issues clearly and propose practical fixes.

• Minimum 5+ years hands-on experience in computer vision, OpenCV, and YOLO (v4, v5, v7, v8).
• Strong practical knowledge of PyTorch and/or TensorFlow for model training and inference.
• Experience with image preprocessing, feature extraction, bounding-box regression, and non-maximum suppression.
• Familiarity with real-time inference acceleration (CUDA, TensorRT, ONNX, hardware-aware optimizations).
• Ability to review and debug code, and to produce well-structured technical feedback in excellent written English.

Nice-to-Have

The following are helpful but not strictly required; include them on your application if they apply to you.

• Experience with model pruning, quantization-aware training, and deployment pipelines.
• Prior experience doing formal code reviews, technical documentation, or teaching/mentoring developers.
• Familiarity with performance profiling tools and best practices for embedded or edge inference.

How to Apply and What to Expect

Create or sign in to your OpenTrain account and submit your application. In your submission, highlight relevant projects and years of YOLO/OpenCV experience and include examples or links to code or write-ups if available.

If selected, you'll receive briefing materials and interview scripts. You'll run interviews and reviews according to provided instructions, submit written feedback and improved responses, and log hours as a contractor.

• Role type: Contractor, part-time, remote. Worldwide applicants welcome.
• Time: Less than 20 hours/week; hours and schedule are flexible.
• Pay: $30 USD per hour.