Javeriya Saleem

Key Skills

Software

Roboflow

Remotasks

Top Subject Matter

AI/Machine Learning Datasets

Computer Vision

AI/Language Models

Top Data Types

Audio

Image

Text

Document

Video

Top Task Types

Evaluation/Rating

Prompt + Response Writing (SFT)

Text Generation

Bounding Box

Freelancer Overview

Freelance Data Annotator & AI Data Evaluator. Core strengths include Roboflow, Remotasks, and Atlas Capture. AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Bounding Box, Frame-by-Frame Video Annotation, and Evaluation.

Labeling Experience

Freelance AI Data Annotator

RemotasksTextEvaluation Rating

In my freelance role, I annotated video datasets using frame-by-frame techniques to support computer vision model training. I followed detailed project guidelines to provide high-quality annotations for a variety of video content. My work contributed to improving the relevance and accuracy of AI-generated outputs. • Utilized annotation platforms such as Remotasks and Atlas Capture for video labeling tasks. • Maintained high standards for precision and correctness in all annotations. • Collaborated with review processes to ensure quality and guideline consistency. • Assisted in the structured evaluation of AI-generated video outputs.

In my freelance role, I annotated video datasets using frame-by-frame techniques to support computer vision model training. I followed detailed project guidelines to provide high-quality annotations for a variety of video content. My work contributed to improving the relevance and accuracy of AI-generated outputs. • Utilized annotation platforms such as Remotasks and Atlas Capture for video labeling tasks. • Maintained high standards for precision and correctness in all annotations. • Collaborated with review processes to ensure quality and guideline consistency. • Assisted in the structured evaluation of AI-generated video outputs.

2025 - Present

AI Data Evaluator

ImageEvaluation Rating

•Evaluated and ranked AI-generated images based on user prompts to improve model relevance and accuracy •Provided human feedback to support AI training and alignment processes •Analyzed user intent to determine the most appropriate and contextually accurate AI outputs •Performed data labeling and quality checks to maintain high annotation standards •Contributed to improving generative AI systems through structured evaluation workflows

•Evaluated and ranked AI-generated images based on user prompts to improve model relevance and accuracy •Provided human feedback to support AI training and alignment processes •Analyzed user intent to determine the most appropriate and contextually accurate AI outputs •Performed data labeling and quality checks to maintain high annotation standards •Contributed to improving generative AI systems through structured evaluation workflows

2025 - 2025

Education

Work History