Collince Peter

Key Skills

Software

Clickworker

Labelbox

Mindrift

Remotasks

Scale AI

SuperAnnotate

Top Subject Matter

No subject matter listed

Top Data Types

Audio

Computer Code Programming

Document

Top Task Types

Classification

Computer Programming Coding

Data Collection

Evaluation Rating

Text Summarization

Freelancer Overview

I am an AI Training and Data Annotation Specialist with over 4 years of hands-on experience across platforms such as Remotasks, Outlier, Mindrift, RWS, Hive, and UHRS. I have contributed to the development of Large Language Models, autonomous vehicle perception systems, search engine relevance algorithms, and content safety classifiers. My expertise spans image labeling (bounding box, segmentation, cuboid), text evaluation (LLM response rating, prompt writing, toxicity detection), search relevance judgment, and content moderation. I consistently maintain high accuracy scores, follow complex guideline instructions, and adapt to evolving task requirements. With a background in Computer Science, I combine technical discipline with strong analytical judgment, making me a dependable contributor to AI model improvement.

Labeling Experience

Autonomous Vehicle Image Annotation & Object Detection

Scale AIImageBounding BoxSegmentation

Labeled vehicles, pedestrians, traffic lights, lane markings, and roadside infrastructure for training self-driving car perception models. Performed 2D bounding box and polygon segmentation, as well as 3D cuboid labeling for depth estimation. Ensured high precision by following strict quality guidelines and peer-reviewed checkpoints. Contributed to thousands of annotated frames while maintaining above 95% accuracy rating and consistent task throughput.

Labeled vehicles, pedestrians, traffic lights, lane markings, and roadside infrastructure for training self-driving car perception models. Performed 2D bounding box and polygon segmentation, as well as 3D cuboid labeling for depth estimation. Ensured high precision by following strict quality guidelines and peer-reviewed checkpoints. Contributed to thousands of annotated frames while maintaining above 95% accuracy rating and consistent task throughput.

2021

Education

Work History