Brian O.

Key Skills

Software

No software listed

Top Subject Matter

Factual Domain Expertise

Technical Domain Expertise

and creative text response evaluation

Top Data Types

Text

Document

Image

Top Task Types

Classification

RLHF

Entity (NER) Classification

Freelancer Overview

AI Data Evaluator (Contractor) — DataAnnotation (Remote). Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include DataAnnotation, TELUS Digital, and SynapseMind. Education includes Master of Science, University of Bath (2027) and Bachelor of Science, University of Nairobi (2025). AI-training focus includes data types such as Text, Document, and Image and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Image Object Labeler & Visual Concept Verifier (Contractor) | SynapseMind

ImageClassificationRLHF

No description provided.

2026 - Present

Image Object Labeler & Visual Concept Verifier (Contractor) — SynapseMind (Remote)

ImageClassification

Labels image content according to predefined annotation guidelines to support visual recognition training. Evaluates visual statements by determining whether they are true, false, or unclear using structured judgment. Applies rubric-based scoring to produce consistent labels across large datasets. • Image classification based on guideline categories • Visual statement triage (true/false/unclear) • Rubric-based scoring for consistency • Accurate labeling across large-scale image sets

2026 - Present

Online Data Analyst (Contractor) — TELUS Digital AI Community (Remote)

Document

Reviews and evaluates digital content for maps, news, audio, and relevance tasks using structured evaluation criteria. Assesses factual accuracy, credibility, and information quality while determining overall relevance. Conducts online research to verify claims by cross-referencing sources and judging reliability across content categories. • Credibility and factual accuracy assessment • Relevance labeling/rating using criteria • Claim verification via online research • Cross-referencing sources for reliability

2026 - Present

Math & AI Evaluation Specialist (Contractor) — TELUS Digital AI Community (Remote)

Text

Evaluates AI-generated mathematical and technical content for factual accuracy, logical consistency, and reasoning quality. Identifies specific issues and provides structured written feedback consistent with project rubrics. Applies detailed guidelines reliably across high-volume human-in-the-loop workflows while maintaining quality assurance standards. • Error detection in math/technical reasoning • Rubric-aligned scoring and issue classification • Actionable written explanations of inconsistencies • Consistent QA across repeated guideline application

2026 - Present

AI Data Evaluator (Contractor) — DataAnnotation (Remote)

Text

Evaluates AI-generated text for factual correctness, logical reasoning quality, safety, and appropriateness using rubric-based scoring. Compares responses to detailed evaluation criteria and provides nuanced, actionable written feedback. Applies complex, shifting annotation guidelines across high-volume, time-sensitive tasks. • Factuality verification and claim plausibility checks • Rubric-aligned scoring for reasoning quality and safety • Structured feedback to support model improvement • Guideline compliance under high throughput

2026 - Present

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Education

Work History