Uyiosa O.

Key Skills

Software

Data Annotation Tech

CrowdSource

OneForma

Other

Top Subject Matter

Computer Vision (Video Annotation, Ground-Truth Dataset Creation)

Computer Vision (Image Annotation & Quality Evaluation)

Language Models (RLHF Training, Response Evaluation, Ground-Truth Correction)

Top Data Types

Video

Image

Text

Document

Top Task Types

Tracking

Polygon

RLHF

Classification

Freelancer Overview

Senior Video Annotation Specialist / AI Data Trainer (Atlas Capture, Remote). Core strengths include Atlas Capture, Remoter.me, and Turing. Education includes Bachelor of Science, Relevant Institution. AI-training focus includes data types such as Video, Image, and Text and labeling workflows including Tracking, Polygon, and RLHF.

Labeling Experience

Data Annotator & Search Relevance Evaluator (Toloka AI, Remote)

ImageClassification

Complete high-volume micro-tasks spanning image classification and text comparison activities. Verify search relevance through side-by-side text evaluation and relevance judgment. Qualify for priority work by performing strongly on skill assessments and gold-standard training sets. • Image classification micro-tasks • Side-by-side text comparison and evaluation • Search relevance verification • Maintain productivity while adapting to changing guidelines

2026 - Present

AI Data Trainer & Model Evaluator (Turing, Remote)

TextRLHF

Support RLHF-oriented training workflows by assisting in the development of large language model behaviors. Evaluate, score, and rewrite model responses using accuracy, formatting, instruction-following, and safety metrics. Detect logical errors and factual hallucinations, then provide corrected ground-truth text. • Assist RLHF-based LLM training • Evaluate and revise responses for accuracy, formatting, and safety • Flag hallucinations and logical issues • Provide corrected ground-truth text for labeling

2026 - Present

AI Content & Image Annotation Specialist (Remoter.me, Remote)

ImagePolygon

Execute image annotation workflows including polygon segmentation and pixel-level landmark labeling for dataset creation. Evaluate and rate synthetic generative image outputs for anomalies, realism, and rendering consistency. Document ambiguous edge cases to support updates to taxonomy rules and maintain guideline alignment. • Polygon segmentation and pixel-level landmark labeling • Quality evaluation of synthetic generative images • Edge-case documentation for taxonomy updates • Daily quota delivery with strict adherence to quality standards

2026 - Present

Senior Video Annotation Specialist / AI Data Trainer (Atlas Capture, Remote)

VideoTracking

Perform multi-object video annotation tasks including dynamic spatial bounding boxes for computer vision workflows. Maintain consistency with evolving project guidelines while meeting high accuracy expectations. Conduct regular quality checks and spot-check labeling outcomes against ground-truth targets. • Multi-object tracking with dynamic bounding boxes • Tier 3 performance through low error rates on high-volume streams • Compliance with complex, evolving annotation guidelines • Video sequence spot-checking to identify and correct errors

2026 - Present

Education

Work History