Oliver

Key Skills

Software

CVAT

Don't disclose

Labelbox

SuperAnnotate

Top Subject Matter

Computer Vision (Object Detection, Scene Classification)

Natural Language Processing (NLP)

Computer Vision & Speech Recognition (Multimodal)

Top Data Types

Image

Video

Text

Audio

Top Task Types

Object Detection

Entity (NER) Classification

Bounding Box

Emotion Recognition

Freelancer Overview

AI Data Annotator — DataForce by TransPerfect (Remote). Core strengths include CVAT, Don't disclose, and Labelbox. Education includes Bachelor of Arts, University of California, Los Angeles (UCLA) (2018). AI-training focus includes data types such as Image, Video, and Text and labeling workflows including Object Detection, Entity (NER) Classification, and Bounding Box.

Labeling Experience

AI Data Annotator — DataForce by TransPerfect (Remote)

CVATImageObject Detection

Labeled large-scale image and video datasets to support object detection and scene classification model training. Followed project-specific guidelines, quality benchmarks, and edge-case handling protocols to maintain annotation reliability. Partnered with QA and model teams to improve data clarity and training outcomes through iterative review. • Used CVAT to label image and video data for detection and classification tasks • Ensured compliance with annotation rules and quality audits (97%+ accuracy) • Reviewed and corrected peer annotations to improve dataset consistency • Managed tight deadlines while maintaining daily annotation targets

2023 - Present

Linguistic Data Specialist — TELUS International AI (Remote)

Don't discloseTextEntity (NER) Classification

Annotated text data for NLP systems including entity tagging, intent classification, and text segmentation to support downstream model training. Performed regular reviews to ensure consistency and helped define and refine tagging guidelines across projects. Contributed to a broad set of initiatives spanning search relevance and speech-to-text alignment while maintaining accuracy under varying specifications. • Labeled text datasets for NLP tasks such as entity tagging, intent classification, and segmentation • Reviewed annotations for consistency and updated guidelines based on observed patterns • Supported multiple projects (e.g., search relevance, speech-to-text alignment, chatbot training) • Adapted to different project requirements and annotation tools while meeting daily targets

2021 - 2023

Multimodal Annotation Contractor — Lionbridge AI (Remote)

LabelboxImageBounding Box

Annotated multimodal image, video, and text datasets for computer vision and speech recognition model training. Applied frame-by-frame tagging techniques and created bounding box and pose-related labels using common annotation platforms. Used personal QA checklists to reduce common errors and speed up validation cycles. • Labeled image and video content for computer vision tasks and training data preparation • Performed frame-by-frame tagging, bounding box labeling, and pose detection • Created text annotations for speech recognition-related workflows • Implemented a QA checklist to improve accuracy and reduce revision time

2020 - 2021

Freelance Audio & Image Tagger — Independent Projects (Remote)

Don't discloseAudioEmotion Recognition

Tagged audio and image data for emotion recognition tools and related moderation use cases. Labeled speech, music, and background noise categories and annotated facial expressions for consistent dataset labeling. Organized and completed short, time-bound projects while maintaining completeness and annotation quality. • Labeled speech, music, and background noise categories for emotion recognition • Annotated facial expressions and user-generated content categories for moderation algorithms • Ensured labeling consistency across independent, short-duration engagements • Completed tasks under tight timelines with attention to coverage and accuracy

2019 - 2019

Education

Work History