Junefritz D.

Key Skills

Software

Remotasks

CrowdSource

Top Subject Matter

Artificial Intelligence / Machine Learning

Computer Vision / Data Annotation

Customer Support / Content Moderation

Top Data Types

Video

Image

Text

Top Task Types

Bounding Box

Polygon

Segmentation

Point/Key Point

Cuboid

Object Detection

RLHF

Freelancer Overview

I have over 4 years of experience as a Data Annotator/Labeler with Remotasks, where I worked on labeling and annotating image, text, and audio datasets used for AI training models. My responsibilities included following strict project guidelines, ensuring high accuracy in annotations, and maintaining quality standards across large volumes of data. I also adapted quickly to different project requirements, including computer vision tasks and NLP-related labeling work. In addition, I have 2 years of experience as a Content Moderator at Teleperformance/Thoth AI, where I reviewed user-generated content for policy compliance, identified harmful or inappropriate material, and ensured platform safety standards were met. This strengthened my attention to detail and understanding of AI trust and safety systems.

Labeling Experience

Content Moderator

VideoRLHF

Reviewed and moderated high-volume user-generated content to ensure compliance with platform policies and community guidelines. Identified and removed harmful, sensitive, or inappropriate content with high accuracy while maintaining strict quality standards. Handled escalation cases requiring deeper policy review and ensured consistent decision-making under time pressure in a fast-paced remote environment. Supported trust and safety operations for AI and social platforms.

2024 - 2026

Quality Assurance / Labeler

3D SensorCuboid

Worked on 3D cuboid annotation tasks for AI training datasets using sensor and image data to label objects in three-dimensional space. Accurately identified and labeled objects by drawing 3D bounding boxes (cuboids) around vehicles, pedestrians, and other relevant objects, ensuring correct spatial orientation, depth estimation, and object classification. Followed strict guidelines for LiDAR and sensor fusion data annotation, maintaining high precision and consistency across frames. Contributed to improving computer vision models used in autonomous driving and AI perception systems.

2021 - 2026

Quality Assurance / Labeler

VideoSegmentation

Worked on image segmentation tasks for AI training datasets, accurately labeling and outlining objects within images using pixel-level precision. Followed strict annotation guidelines to ensure high-quality ground truth data for computer vision models. Maintained consistency across large datasets, identified object boundaries carefully, and ensured annotations met quality assurance standards. Adapted to different segmentation project requirements including semantic and instance segmentation tasks in a fast-paced remote environment.

2021 - 2026

Quality Assurance / Labeler

ImageObject Detection

Worked on object detection annotation tasks for AI training datasets, labeling multiple objects within images using bounding boxes. Accurately identified and annotated food items, utensils, and related objects on plates, ensuring correct classification and spatial placement. Followed strict labeling guidelines to maintain consistency, precision, and dataset quality for computer vision model training. Handled complex scenes with overlapping objects and varied lighting conditions while maintaining high annotation accuracy.

2023 - 2024

Quality Assurance / Labeler

ImagePolygon

Worked on polygon-based image annotation tasks for AI computer vision training datasets, accurately outlining objects using multi-point polygon tools. Performed precise labeling of complex shapes, including irregular object boundaries, overlapping objects, and multi-class segmentation tasks. Followed strict annotation guidelines to ensure high-quality ground truth data for machine learning models. Maintained consistency across large datasets while ensuring pixel-level accuracy and adherence to project-specific labeling rules. Experienced in supporting AI model development for object detection and segmentation systems.

2023 - 2024

Education

Work History