Victor O.

Key Skills

Software

Other

Top Subject Matter

Computer Vision (semantic segmentation, dataset annotation)

LLM alignment (RLHF) and face/vision dataset validation

General AI training data annotation

Top Data Types

Image

Top Task Types

Segmentation

RLHF

Classification

Freelancer Overview

Data Annotator, Otaku Hugo Company Limited. Brings 6+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, Ebonyi State University (2020). AI-training focus includes data types such as Image and labeling workflows including Segmentation, RLHF, and Classification.

Labeling Experience

Data Annotator, Otaku Hugo Company Limited

ImageSegmentation

Produced consistently high-quality annotated datasets that reduced client ML error rates across production pipelines.• Managed complex, multi-layer annotation projects end-to-end while meeting sprint deadlines for on-schedule model releases.• Integrated best practices from emerging annotation methodologies and tools to sustain quality across evolving requirements.• • Enabled precise object-background distinction in complex scenes through pixel-level semantic labeling.• • Served quality validation as part of ensuring training data integrity for downstream models.

2023 - 2026

AI Data Trainer, NeuralStream Data

ImageRLHF

Evaluated 1,500+ model response pairs for an RLHF preference-optimization pipeline, providing structured reasoning on helpfulness and safety.• Labeled 3,000+ complex images with pixel-level semantic segmentation to support object-background separation in overlapping scenes.• Performed lead validation for Face Swap datasets by flagging skin-tone mismatches and lighting artifacts to reduce visual errors in final outputs.• • Improved model alignment through preference feedback.• • Enhanced visual consistency by catching artifacts and mismatches before model training.

2022 - 2023

Data Annotation Intern, Omni Label Solutions

OtherImageClassification

Completed 5,000+ annotation tasks ahead of schedule while achieving a 98% accuracy rate across all assigned tasks.• Identified and escalated ambiguities in project guidelines to reduce annotation conflicts across concurrent projects.• Ensured training data integrity and reduced rework to support AI model development cycles.• • Delivered consistent quality at high volume.• • Improved clarity of labeling instructions through ambiguity reporting.

2021 - 2022

Education

Work History