Rachele D.

Key Skills

Software

Other

CVAT

Top Subject Matter

Computer vision / autonomous vehicles / video understanding

Multilingual transcription

Moderation Domain Expertise

Top Data Types

Video

Text

Image

Top Task Types

Tracking

Classification

Mapping

Freelancer Overview

Data Specialist / Annotator (Freelance) - 2024. Core strengths include Other and CVAT. Education includes Bachelor of Arts, Eastern Kentucky University (2020). AI-training focus includes data types such as Video, Text, and Image and labeling workflows including Tracking, Translation, and Localization.

Labeling Experience

Transcriptionist & Language Analyst (Freelance) - 2024

OtherText

Provided transcription and multilingual language analysis services for AI training data. Produced verbatim and edited transcriptions for multi-speaker audio with strict adherence to style guides and technical terminology. Conducted multilingual content moderation and translation to ensure cultural nuance and grammatical correctness, and corrected ASR output errors to improve model performance. • Multi-speaker transcription (verbatim/edited) • Multilingual content moderation • Translation/localization with linguistic quality checks • ASR error identification and correction

2024 - 2024

Data Specialist / Annotator (Freelance) - 2024

OtherVideoTracking

Performed high-fidelity video labeling to support large-scale AI projects for computer vision training. Applied annotations for object tracking and action recognition while ensuring 98%+ accuracy. Collaborated with data scientists to refine labeling guidelines and reduce edge-case ambiguities by 20%. • Object tracking and action recognition labeling • Timestamping and frame-by-frame/video review • Quality control to reach 98%+ accuracy • Guideline refinement with data scientists

2024 - 2024

Project: Video Action Mapping

OtherVideoMapping

Labeled action-relevant behaviors and scene elements in video content for autonomous vehicle training. Mapped pedestrian behaviors and traffic signals across 200+ hours of video. Produced structured labels intended to improve CV/AV model learning and evaluation. • Pedestrian behavior labeling • Traffic signal/action mapping • 200+ hours of video annotation • Labels for autonomous vehicle training datasets

Not specified

Project: Open Source Image Tagging

CVATImageClassification

Categorized and tagged images for an open-source image dataset to support AI model training. Labeled 5,000+ images with precise attribute tags and metadata using an annotation platform. Focused on urban infrastructure categories to create a structured, high-quality dataset. • Image categorization for public dataset • Attribute tag and metadata application • Use of CVAT for consistent labeling • Dataset creation for AI training

Not specified

Education