Jessica Reigns

Key Skills

Software

Scale AI

Appen

CVAT

Labelbox

Top Subject Matter

No subject matter listed

Top Data Types

Text

Audio

Video

Image

Top Label Types

Entity Ner Classification

Question Answering

Text Summarization

Evaluation Rating

Prompt Response Writing SFT

Emotion Recognition

Audio Recording

Transcription

Segmentation

Action Recognition

Tracking

Bounding Box

Polygon

Classification

Object Detection

Freelancer Overview

I am a detail-oriented Data Annotation and AI Training Specialist with several years of experience supporting machine learning and generative AI systems at scale. My expertise spans high-accuracy labeling across text, image, audio, and video data, including action-based and egocentric video annotation, audio captioning, and speech event tagging. I have a strong track record of following complex, schema-based guidelines and consistently identifying edge cases to improve downstream model performance. I am adept at using web-based annotation tools and collaborating with QA and review teams to ensure quality and consistency. My background includes NDA-based projects for confidential research and enterprise clients, and I hold advanced degrees in data science and computer science, with a focus on natural language processing and large-scale analytics. I am committed to data quality, privacy, and responsible AI practices, and am comfortable working in fast-paced, guideline-driven environments.

Labeling Experience

Video Action Recognition & Egocentric Annotation Specialist

CVATVideoSegmentationAction Recognition

Performed action-based and egocentric video annotation for multimodal AI systems, including temporal segmentation and tracking of human activities. Applied detailed schema-based guidelines to ensure temporal accuracy and consistency across video sequences. Identified ambiguous and edge-case scenarios and escalated them through QA channels, helping refine annotation guidelines and improve downstream model understanding of complex human behavior.

Performed action-based and egocentric video annotation for multimodal AI systems, including temporal segmentation and tracking of human activities. Applied detailed schema-based guidelines to ensure temporal accuracy and consistency across video sequences. Identified ambiguous and edge-case scenarios and escalated them through QA channels, helping refine annotation guidelines and improve downstream model understanding of complex human behavior.

2021

Senior Data Annotation & AI Training – Multimodal AI Systems

Scale AITextEntity Ner ClassificationQuestion Answering

Labeled and evaluated long-form and conversational text data for large language model training. Tasks included text classification, entity recognition, prompt–response generation, preference ranking, and quality evaluation under complex, schema-based guidelines. Maintained high accuracy and reviewer agreement while identifying edge cases that improved instruction clarity and model robustness. Collaborated closely with QA teams to implement feedback and ensure consistency across datasets.

Labeled and evaluated long-form and conversational text data for large language model training. Tasks included text classification, entity recognition, prompt–response generation, preference ranking, and quality evaluation under complex, schema-based guidelines. Maintained high accuracy and reviewer agreement while identifying edge cases that improved instruction clarity and model robustness. Collaborated closely with QA teams to implement feedback and ensure consistency across datasets.

2023 - 2024

product image annotation for E-commerce listings

ImageBounding Box

Annotated and prepared product images for online marketplaces. Created clear labels and bounding boxes for items in product photos. Assisted in organizing and improving image datasets for e-commerce platforms. Ensured accuracy and consistency to support AI training for marketplace visuals.

Annotated and prepared product images for online marketplaces. Created clear labels and bounding boxes for items in product photos. Assisted in organizing and improving image datasets for e-commerce platforms. Ensured accuracy and consistency to support AI training for marketplace visuals.

2022 - 2023

Image Annotation & Object Detection Specialist

LabelboxImageBounding BoxPolygon

Labeled image datasets using bounding boxes, polygons, and segmentation techniques to support computer vision model training. Ensured high precision in object detection and classification tasks while adhering to strict quality and consistency standards. Performed self-review and incorporated QA feedback to maintain dataset reliability and annotation accuracy.

Labeled image datasets using bounding boxes, polygons, and segmentation techniques to support computer vision model training. Ensured high precision in object detection and classification tasks while adhering to strict quality and consistency standards. Performed self-review and incorporated QA feedback to maintain dataset reliability and annotation accuracy.

2022 - 2023

Audio Annotation & Speech Data Specialist

AppenAudioEmotion RecognitionEvaluation Rating

Annotated speech and audio datasets for AI training, including transcription, audio captioning, and speech event tagging. Ensured precise timing, speaker clarity, and emotional context while following strict annotation guidelines. Conducted quality evaluation of audio outputs and addressed reviewer feedback to meet high accuracy thresholds, contributing to improved performance of speech and audio understanding models.

Annotated speech and audio datasets for AI training, including transcription, audio captioning, and speech event tagging. Ensured precise timing, speaker clarity, and emotional context while following strict annotation guidelines. Conducted quality evaluation of audio outputs and addressed reviewer feedback to meet high accuracy thresholds, contributing to improved performance of speech and audio understanding models.

2021 - 2023

Show more

Education

Work History