Job Title: Computer Vision Engineer - LLM Data Trainer

Job Type: Full-time

Location: Remote

Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Key Responsibilities:

Review AI-generated queries for accuracy, clarity, and relevance across various programming languages and frameworks.
Validate and correct misleading or incorrect AI-generated responses.
Ensure grammatical accuracy, logical structure, and coherence in queries.
Categorize queries based on difficulty level and topic area.
Provide constructive feedback to refine AI query generation processes.
Collaborate with data scientists, machine learning engineers, and AI trainers to improve dataset quality.
Maintain consistency in annotation standards and validation methodologies.

Required Skills and Qualifications:

Proficiency in OpenCV and/or PyTorch.
Strong background in computer vision and deep learning.
Experience with data validation and annotation processes.
Exceptional written and verbal communication skills.
Ability to work independently in a remote setting.
Excellent attention to detail and problem-solving skills.

Preferred Qualifications:

Experience with YOLO.
Previous experience in a similar role.
Knowledge of multiple programming languages and frameworks.