Victor O.

Key Skills

Software

Labelbox

CVAT

Other

Top Subject Matter

Nlp Domain Expertise

sentiment tagging

named entity recognition

Top Data Types

Text

Video

Image

Audio

Top Task Types

Entity (NER) Classification

Segmentation

Object Detection

Transcription

Bounding Box

Classification

Tracking

RLHF

Red Teaming

Point/Key Point

Freelancer Overview

Data Annotator (Freelance / Remote) — NLP text labeling and review. Core strengths include Labelbox, Internal, and Proprietary Tooling. AI-training focus includes data types such as Text, Video, and Image and labeling workflows including Entity (NER) Classification, Segmentation, and Object Detection.

Labeling Experience

Data Annotator (Freelance / Remote) — audio transcription annotation and review

OtherAudioTranscription

Labeled and reviewed audio samples as part of NLP training datasets with transcription-focused annotation. Applied labeling guidelines to ensure consistent outputs and maintain high acceptance quality. Flagged edge cases and ambiguities in instructions to improve annotation standards and reduce downstream rework. • Audio labeling and transcription review • Guideline adherence for consistent labeling • Edge-case detection and escalation • Quality-focused verification to meet turnaround targets

2024 - Present

Data Annotator (Freelance / Remote) — computer vision image labeling and review

CVATImageObject Detection

Labeled and reviewed image samples for computer vision training datasets using object detection annotations. Followed client-specific instructions to label objects with bounding boxes and polygons while maintaining a 97%+ quality acceptance rate. Reported recurring ambiguities in labeling guidance that contributed to two guideline revisions reducing wider team rework. • Object detection labeling using bounding boxes and polygons • Reviewed labeled samples for quality acceptance • Reported edge cases and recurring instruction ambiguities • Met same-day turnaround targets across concurrent projects

2024 - Present

Data Annotator (Freelance / Remote) — NLP text labeling and review

LabelboxTextEntity (NER) Classification

Labeled and reviewed text samples for NLP training, applying sentiment tagging and named entity recognition per detailed client guidelines. Maintained a 97%+ quality acceptance rate while working under deadline pressure and across multiple concurrent projects. Identified recurring ambiguities in labeling instructions to support guideline improvements. • Sentiment tagging and named entity recognition • Reviewed and validated labeled samples for acceptance • Escalated or reported edge cases and ambiguities • Completed same-day turnaround targets in Labelbox and CVAT

2024 - Present

Data Labeling Associate

CVATImageBounding BoxSegmentation

No description provided.

2023 - 2023

Data Labeling Associate — computer vision image/video dataset annotation and QA

VideoSegmentation

Performed manual annotation and verification of image and video datasets used to train computer vision models, including segmentation masks. Coordinated with QA leads to resolve disagreements between annotators, improving inter-annotator agreement. Tracked daily throughput and accuracy metrics in shared trackers to support project reporting. • Segmentation mask annotation for CV datasets • Key point tagging and video dataset verification • QA resolution support with inter-annotator disagreement review • Daily tracking of throughput and accuracy metrics

2023 - 2023

Education

Work History