Evans O.

Key Skills

Software

Telus

Scale AI

Appen

Top Subject Matter

English-language AI output quality

Safety Domain Expertise

and factuality evaluation

Top Data Types

Text

Image

Document

Top Task Types

RLHF

Red Teaming

Entity (NER) Classification

Data Collection

Computer Programming/Coding

Freelancer Overview

AI Data Specialist (Contract, Remote) | TELUS International AI. Brings 5+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Telus, Scale AI, and Appen. Education includes Master of Science, Queen Mary University of London (2023) and Bachelor of Science, University of Warwick (2022). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

AI Data Specialist (Contract, Remote) | TELUS International AI

TelusText

Annotated and validated 250,000+ English data points to improve model helpfulness, safety, and factual accuracy. Conducted prompt evaluations, pairwise comparisons, and preference rankings consistent with RLHF-style methodologies. Maintained 95%+ quality assurance scores through rigorous review and calibration. • Performed response helpfulness and safety assessments • Completed factuality and hallucination detection checks • Executed pairwise preference/relevance ranking tasks • Documented edge cases to improve guideline consistency

2024 - Present

Data Annotation QA Reviewer (Contract, Remote) | Scale AI

Scale AITextRLHFRed Teaming

Audited 1,200+ annotation batches to ensure consistent quality and policy compliance. Improved inter-annotator agreement through calibration sessions and reviewed assessor decisions against established benchmarks. Developed QA checklists and sampling plans to increase review efficiency without sacrificing accuracy. • Checked consistency with policy and quality rubrics • Participated in calibration and discrepancy resolution • Led feedback discussions on safety, factuality, and policy • Monitored review outputs against sampling strategies

2023 - 2024

Data Collection & Labeling Specialist (Part-Time, Remote) | Appen

AppenTextData CollectionRLHF

Collected, cleaned, and labeled English datasets supporting supervised learning workflows. Performed relevance scoring, entity tagging, categorization, and structured data extraction tasks. Escalated anomalies, safety concerns, and data quality issues to improve usability for downstream modeling. • Performed relevance scoring and categorisation • Labeled entities and extracted structured fields • Performed data cleaning and quality checks • Reported anomalies and safety/data quality concerns

2022 - 2023

Education

Work History