Catherine

Key Skills

Software

Other

Top Subject Matter

AI response evaluation

content quality assessment

dataset validation

Top Data Types

Text

Computer Code Programming

Top Task Types

Classification

RLHF

Freelancer Overview

AI Training & Data Specialist (AI & Data Operations: AI Response Evaluation, Quality Assurance, Dataset Validation, Fact. Core strengths include Other. Education includes Bachelor of Science, Strathmore University. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

AI Training & Data Specialist (RLHF, Prompt Engineering, AI Evaluation/Response Ranking)

OtherTextRLHF

Supported RLHF-related work by evaluating model behavior and response quality against defined instructions. Conducted prompt assessment and model output evaluation to identify strengths, weaknesses, and failure patterns. Ensured outputs met quality standards through iterative review and guideline-driven scoring.•Evaluated responses for adherence, helpfulness, and accuracy•Assessed prompt quality and response alignment•Flagged issues to inform improvements to training data and guidelines•Contributed to AI evaluation and red-team style analysis through rating and review

2024 - Present

AI Training & Data Specialist (Data Categorization, Content Review, Dataset Cleaning/Validation)

OtherTextClassification

Performed data categorization and content moderation through structured labeling and classification tasks. Applied natural language understanding and dataset validation techniques to maintain label consistency and overall data quality. Used research methodologies and critical analysis to improve annotation accuracy and reduce label noise.•Classified and categorized textual information per guidelines•Moderated content by quality and policy-aligned criteria•Applied critical analysis to identify inaccuracies and edge cases•Contributed to dataset cleaning and validation exercises

2024 - Present

AI Training & Data Specialist (AI & Data Operations: AI Response Evaluation, Quality Assurance, Dataset Validation, Fact Checking, Content Review)

OtherText

Performed AI response evaluation and quality assessment using detailed guidelines to ensure accurate, consistent outputs. Validated datasets and verified facts through linguistic analysis, prompt assessment, and research-based checks. Conducted content review and quality assurance to support dataset readiness and improve AI system performance.•Evaluated prompt effectiveness and ranked/assessed responses•Assessed content quality, relevance, and accuracy for model outputs•Validated datasets and checked for inconsistencies or inaccuracies•Supported search relevance rating and fact-checking workflows

2024 - Present

Education

Work History