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Jessica Reigns

Jessica Reigns

Senior Data Annotation Specialist - AI & Machine Learning

USA flagNEW YORK, Usa
$19.00/hrExpertScale AIAppenLabelbox

Key Skills

Software

Scale AIScale AI
AppenAppen
LabelboxLabelbox
ProdigyProdigy

Top Subject Matter

No subject matter listed

Top Data Types

TextText
AudioAudio
VideoVideo
ImageImage

Top Task Types

Entity (NER) ClassificationEntity (NER) Classification
Question AnsweringQuestion Answering
Text SummarizationText Summarization
Evaluation/RatingEvaluation/Rating
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Emotion RecognitionEmotion Recognition
Audio RecordingAudio Recording
TranscriptionTranscription
SegmentationSegmentation
Action RecognitionAction Recognition
TrackingTracking
Bounding BoxBounding Box
PolygonPolygon
ClassificationClassification
Object DetectionObject 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.

ExpertEnglish

Labeling Experience

CVAT

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

AI Data Annotation Specialist (NLP Tools Experience). Contract Work (Prodigy, Labelbox exposure)

TextEntity Ner Classification
Worked with annotation tools such as Prodigy and Labelbox to prepare and refine training datasets for NLP models. Tasks included labeling text data, identifying entities, and ensuring structured dataset quality for machine learning applications.

Worked with annotation tools such as Prodigy and Labelbox to prepare and refine training datasets for NLP models. Tasks included labeling text data, identifying entities, and ensuring structured dataset quality for machine learning applications.

2025 - 2026
Scale AI

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

AI INFRASTRUCTURE EVALUATION AND PROMPT ENGINEERINGVSPECIALIST

TextEvaluation Rating
> Evaluated AI-generated outputs related to infrastructure automation, deployment strategies, and system monitoring. Applied structured evaluation criteria to assess responses for accuracy, consistency, reliability, and alignment with task requirements. > >Identified errors, inconsistencies, and edge cases in model behavior, providing detailed feedback to improve performance under real-world and high-volume conditions. Contributed to maintaining quality standards across large-scale evaluation workflows while supporting continuous model improvement.

> Evaluated AI-generated outputs related to infrastructure automation, deployment strategies, and system monitoring. Applied structured evaluation criteria to assess responses for accuracy, consistency, reliability, and alignment with task requirements. > >Identified errors, inconsistencies, and edge cases in model behavior, providing detailed feedback to improve performance under real-world and high-volume conditions. Contributed to maintaining quality standards across large-scale evaluation workflows while supporting continuous model improvement.

2022 - 2023

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

Education

C

Columbia University

Master of Science, Data Science

Master of Science
2019 - 2021
U

University of California, Berkeley

Bachelor of Science, Computer Science

Bachelor of Science
2014 - 2018

Work History

M

mercor

LLM Workflow & Prompt Engineering

remote
2025 - Present
M

Mercor

Senior Data Annotator / AI Training Contractor

NEW YORK
2023 - Present