Challa Vivek

Key Skills

Software

Appen

Clickworker

OneForma

Remotasks

Telus

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Computer Code Programming

Image

Text

Top Task Types

Classification

Computer Programming Coding

Data Collection

Object Detection

Translation Localization

Freelancer Overview

I have practical experience in computer-vision data labeling projects such as image comparison and facial recognition (Ruby Faceswap). My role involved evaluating eye gaze, head tilt, and visual similarity to ensure accurate annotations. This work strengthened my attention to visual detail, consistency, and understanding of AI dataset quality requirements. I am skilled in image tagging, bounding box labeling, and visual quality control, and I’m confident in supporting any AI vision or image-annotation project that demands precision and focus. I am a reliable and detail-focused data annotator experienced in AI training tasks involving text, image, and audio labeling. My work emphasizes accuracy, guideline adherence, and consistency in every dataset. I have contributed to quality-assurance-based projects such as image comparison and text evaluation, which enhanced my skills in observation, focus, and time management.

Labeling Experience

Facial Recognition & Head Pose Evaluation

TelusImageRelationshipClassification

Ruby Faceswap Annotation Project – Description I worked as a data annotator on the “Ruby Faceswap” project, focusing on image comparison and facial recognition evaluation. The main task involved comparing the Source and Target images to identify mismatches in key visual features such as eye gaze direction and head tilt angle. I followed detailed project guidelines to accurately determine whether the images matched or failed, helping to improve dataset quality and reduce false positives. This work required strong attention to visual detail, precision, and consistency, contributing to better AI model training and computer vision performance.

Ruby Faceswap Annotation Project – Description I worked as a data annotator on the “Ruby Faceswap” project, focusing on image comparison and facial recognition evaluation. The main task involved comparing the Source and Target images to identify mismatches in key visual features such as eye gaze direction and head tilt angle. I followed detailed project guidelines to accurately determine whether the images matched or failed, helping to improve dataset quality and reduce false positives. This work required strong attention to visual detail, precision, and consistency, contributing to better AI model training and computer vision performance.

2025 - 2025

Education

Work History