New Y.

Key Skills

Software

Don't disclose

Appen

Top Subject Matter

Computer vision datasets

multimodal AI training data

Video action recognition and evaluation datasets

Top Data Types

Image

Video

Audio

Text

Document

Top Task Types

Bounding Box

Action Recognition

Transcription

Freelancer Overview

Senior AI Data Specialist · DataBridge Solutions Inc.. Core strengths include Don't disclose and Appen. Education includes Bachelor of Science, Strathmore University (2017). AI-training focus includes data types such as Image, Video, and Audio and labeling workflows including Bounding Box, Action Recognition, and Transcription.

Labeling Experience

Senior AI Data Specialist · DataBridge Solutions Inc.

Don't discloseImageBounding Box

Annotated multimodal assets for ML pipelines, including images with object tagging and bounding boxes, and contributed to downstream computer vision evaluation. Performed structured pairwise comparisons of model outputs to determine preference rankings used for RLHF training. Conducted QA audits to keep team-wide accuracy above target thresholds. • Created bounding boxes and object instance labels for image datasets • Scored output quality and reported errors via taxonomy reporting • Monitored inter-annotator agreement and delivered calibration feedback • Delivered 60,000+ labeled assets across multiple domains

2022 - Present

Data Annotation & Evaluation Specialist · CognitiveMark AI

Don't discloseVideoAction Recognition

Labeled and evaluated multimodal training data for ML systems across images, video, and audio. Executed video annotation for temporal action segmentation, object motion tracking, and scene transition labeling. Conducted inter-annotator agreement monitoring and quality-focused evaluation of model output relevance and factual accuracy. • Annotated 400+ hours of video for temporal segments and action labels • Labeled object motion and scene transitions for downstream CV tasks • Performed pairwise output evaluation using preference rankings • Maintained IAA above 93% and supported quality calibration

2020 - 2022

Data Collector & Content Labeler · Appen (Contract)

AppenAudioTranscription

Collected and labeled large volumes of multimodal data for AI clients, including transcription and labeling of audio alongside text and image tasks. Executed image object tagging and region-of-interest labeling for applications such as facial recognition and medical/satellite imagery analysis. Performed counting and verification to validate object counts and identify metadata inconsistencies. • Completed 1,000+ hours of data collection, transcription, and labeling • Transcribed audio and labeled speech-related content • Tagged regions of interest in images for recognition workflows • Validated counting tasks and reported inconsistencies

2018 - 2020

Education

Work History