Tehreem Imran

AI Evaluation & Data Annotation Specialist with practical knowledge of evaluating AI-generated responses, rubric-based scoring, pairwise comparison, quality control, and evidence-based feedback.

Skilled in reviewing AI outputs for accuracy, relevance, clarity, safety, and guideline adherence. I also have experience with image and video annotation, including bounding boxes, polygons, segmentation, and object tracking.

My focus is helping improve AI systems through careful evaluation, consistent labeling, and high-quality feedback. I am comfortable working with detailed guidelines and quality standards, and I am continuously developing my skills in Generative AI, RLHF, SFT, prompt evaluation, and AI quality assurance.

Available for remote AI evaluation, AI training, data annotation, and quality-review projects.