Chris Martens

Key Skills

Software

Appen

CrowdSource

CVAT

LabelImg

Label Studio

Roboflow

Supervisely

Toloka

Remotasks

Scale AI

Mercor

Top Subject Matter

No subject matter listed

Top Data Types

Image

Text

Video

Top Label Types

Bounding Box

Classification

Object Detection

Polygon

Segmentation

Freelancer Overview

With over three years of experience in AI data labeling, I have contributed to diverse projects involving computer vision and natural language processing. My expertise spans image and video annotation, including object detection, segmentation, and text classification for NLP tasks. I’m proficient with multiple annotation tools and excel in maintaining data quality and consistency, ensuring high-impact training data for AI models. My background in IT support sharpens my attention to detail and problem-solving skills, allowing me to adapt quickly to new projects and guidelines.

Labeling Experience

Text and Image Annotation for E-commerce AI

MercorTextBounding BoxEntity Ner Classification

Labeled product images and descriptions for e-commerce AI models, including bounding boxes for product identification and entity tagging for product attributes in text. Ensured data consistency and accuracy to improve AI-driven search and recommendation systems. Adapted quickly to evolving labeling guidelines and quality standards in a dynamic environment.

Labeled product images and descriptions for e-commerce AI models, including bounding boxes for product identification and entity tagging for product attributes in text. Ensured data consistency and accuracy to improve AI-driven search and recommendation systems. Adapted quickly to evolving labeling guidelines and quality standards in a dynamic environment.

2024

Autonomous Vehicle Image Annotation

Scale AIImageBounding BoxPolygon

Annotated large volumes of street-level images for object detection and segmentation, including vehicles, pedestrians, traffic signs, and road infrastructure. Maintained strict adherence to quality guidelines to ensure accurate and consistent labeling critical for autonomous driving AI model training. Collaborated with a remote team to meet project deadlines and quality benchmarks.

Annotated large volumes of street-level images for object detection and segmentation, including vehicles, pedestrians, traffic signs, and road infrastructure. Maintained strict adherence to quality guidelines to ensure accurate and consistent labeling critical for autonomous driving AI model training. Collaborated with a remote team to meet project deadlines and quality benchmarks.

2021 - 2024

Education

Work History