Syence D.

Key Skills

Software

Appen

Top Subject Matter

Multimodal AI model training

Video QA

AI audio models

Top Data Types

Audio

Text

Image

Video

Document

Top Task Types

Transcription

Classification

Segmentation

Text Generation

Prompt + Response Writing (SFT)

Text Summarization

Question Answering

Fine-tuning

Evaluation/Rating

Bounding Box

Function Calling

Tracking

Freelancer Overview

Multimodal Data Specialist (Visual QA & Annotation). Brings 17+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Arts in Audio Design, Columbia College Chicago (2017). AI-training focus includes data types such as Video, Audio, and Text and labeling workflows including Tracking, Transcription, and Question Answering.

Labeling Experience

Multimodal Data Specialist

VideoSegmentation

As a Multimodal Data Specialist on the Multimango project via RWS, I serve as a versatile human-in-the-loop (HITL) evaluator managing over eight distinct data annotation pipelines for flagship generative AI models. My core workflows require rapid context-switching and zero-variance compliance across varying operational rubrics, including frame-perfect video segmentation and bounding box localization for computer vision, critical A/B acoustic fidelity evaluation, and complex prompt engineering with multi-asset curation for text-to-interface UI generation. By successfully navigating this highly fragmented task environment, I consistently deliver high-quality, ground-truth training data that enforces strict spatial logic and detects complex anomalies across disparate machine learning models.

2026 - Present

AI Trainer & Audio Data Specialist / Copyeditor

VideoTranscriptionTracking

As an AI Trainer & Audio Data Specialist at Anuttacon, I transcribed and copyedited complex audio sources, providing highly accurate datasets for machine learning. I annotated audio for human emotion, tone, and nuances, supplying critical ground-truth data for interactive gaming models. My responsibilities also included quality-checking generated transcripts and structuring audio data for ML applications. • High-fidelity transcription and annotation of long-form podcasts and voice data. • Application of emotional annotation techniques to identify subtle human vocal cues. • Proofreading and validation of transcripts against source audio. • Organization and categorization of large volumes of audio for machine learning workflows.

2026 - Present

Project Manager & Lead Technologist (AI Context Engineering/Data Structuring)

TextClassificationQuestion Answering

At the Vytyls Research Initiative, I managed and implemented data architecture for cognitive modeling research. I led the process of translating scientific papers into queryable, structured logic for large language models. My role required the design of ontologies and entity frameworks to facilitate sophisticated data classification tasks. • Developed Reality Fold Notation (RFN) to support rigorous data annotation. • Guided taxonomy design that quantizes subjective data events for research metrics. • Collaborated with LLMs and research technologists for data structuring workflows. • Oversaw quality of structured outputs in both internal and open-source repositories.

2023 - Present

Education

Work History