Ahmed Nizzar

Key Skills

Software

CVAT

Labelbox

LabelImg

Data Annotation Tech

Remotasks

Scale AI

SuperAnnotate

Internal/Proprietary Tooling

Top Subject Matter

Autonomous Systems - LiDAR, Sensor, Camera - 3D Data Segmentation and Analysis

Finance - Risk Analysis, Valuation, Product Management, Marketing and Trading

AI Chatbot - AI Response Analysis, Prompt Engineering, Data Validation, RLHF, Policy Compliance Labeling, Hallucination Detection, Ranking & Preference Annotation

Top Data Types

Image

Text

Audio

Top Task Types

Bounding Box

Cuboid

Segmentation

Polygon

Classification

Polyline

Object Detection

Text Generation

Question Answering

Text Summarization

Fine Tuning

Transcription

Evaluation Rating

Point Key Point

Data Collection

Freelancer Overview

Freelance Data Annotator – DataAnnotation Tech. Brings 2+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include CVAT and Excel. Education includes Bachelor of Science, University of Kerala (2022). AI-training focus includes data types such as Image, 3D Sensor, and Text and labeling workflows including Bounding Box, Cuboid, and Evaluation.

Labeling Experience

Freelance Data Annotator – DataAnnotation Tech

CVATImageBounding Box

As a Freelance Data Annotator at DataAnnotation Tech, I specialized in image, text, and LiDAR dataset annotation. I ensured high accuracy and consistent quality across more than 450 freelance tasks. The role demanded strict adherence to project guidelines and data quality assurance protocols. • Performed bounding box, segmentation, and cuboid annotation for various datasets. • Used CVAT, LabelImg, and Labelbox extensively for annotation. • Maintained a 100% acceptance rate for all assigned tasks. • Focused on datasets for autonomous systems, NLP, and visual recognition.

As a Freelance Data Annotator at DataAnnotation Tech, I specialized in image, text, and LiDAR dataset annotation. I ensured high accuracy and consistent quality across more than 450 freelance tasks. The role demanded strict adherence to project guidelines and data quality assurance protocols. • Performed bounding box, segmentation, and cuboid annotation for various datasets. • Used CVAT, LabelImg, and Labelbox extensively for annotation. • Maintained a 100% acceptance rate for all assigned tasks. • Focused on datasets for autonomous systems, NLP, and visual recognition.

2025 - Present

Dual LLM Chatbot Evaluation – Annotator/Evaluator

Text

For the Dual LLM Chatbot Evaluation project, I evaluated outputs between Google AI and ChatGPT by assessing accuracy, relevance, and response quality. The work entailed benchmarking AI-generated responses to identify inconsistencies and improvement opportunities. Critical thinking and attention to detail were key to providing comprehensive evaluations. • Compared LLM outputs for multiple tasks. • Used Excel and Google Sheets for documentation and analysis. • Analyzed and reported strengths and weaknesses in LLM performance. • Focused on relevance, correctness, and quality across AI chatbot responses.

For the Dual LLM Chatbot Evaluation project, I evaluated outputs between Google AI and ChatGPT by assessing accuracy, relevance, and response quality. The work entailed benchmarking AI-generated responses to identify inconsistencies and improvement opportunities. Critical thinking and attention to detail were key to providing comprehensive evaluations. • Compared LLM outputs for multiple tasks. • Used Excel and Google Sheets for documentation and analysis. • Analyzed and reported strengths and weaknesses in LLM performance. • Focused on relevance, correctness, and quality across AI chatbot responses.

Not specified

LiDAR 3D Annotation Project – Annotator

CVAT3D SensorCuboid

During a LiDAR 3D Annotation Project, I annotated point cloud datasets using cuboid labels. The work involved identifying vehicles, pedestrians, and road elements within 3D point cloud data. Attention to detail was crucial to accurately represent objects within the sensor data. • Labeled multiple object classes in 3D datasets. • Used CVAT and Labelbox for annotation tasks. • Ensured turn-around within set deadlines for annotation projects. • Enhanced project quality by performing thorough QA on labeled outputs.

During a LiDAR 3D Annotation Project, I annotated point cloud datasets using cuboid labels. The work involved identifying vehicles, pedestrians, and road elements within 3D point cloud data. Attention to detail was crucial to accurately represent objects within the sensor data. • Labeled multiple object classes in 3D datasets. • Used CVAT and Labelbox for annotation tasks. • Ensured turn-around within set deadlines for annotation projects. • Enhanced project quality by performing thorough QA on labeled outputs.

Not specified

Education

Work History