Doyle G.

Key Skills

Software

Other

Scale AI

OneForma

Mindrift

Top Subject Matter

LLM evaluation

RLHF workflows

AI safety auditing

Top Data Types

Text

Document

3D Sensor

Top Task Types

RLHF

Freelancer Overview

AI Evaluation & Research Specialist — Infosys. Brings 30+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Master of Science, N/A and Bachelor of Science, N/A. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and RLHF.

Labeling Experience

AI Evaluation & Research Specialist — Infosys

Text

Provided enterprise-scale evaluation of large language model outputs by performing structured human-feedback-style quality checks across multiple risk and correctness dimensions. Labeled and rated model responses for reasoning quality, factuality, hallucination presence, and contextual alignment to support RLHF-style preference ranking. Built and validated evaluation rubrics, reviewer calibration standards, and annotation QA processes to ensure consistent dataset quality. • Reasoning assessment and hallucination detection labeling • Factuality verification and contextual alignment review • RLHF-style preference ranking workflow contribution • Multilingual evaluation and taxonomy/synthetic data review

2023 - Present

Independent AI Research & Evaluation Consultant

TextRLHF

Conducted RLHF-style evaluation activities by creating human feedback systems and preference-ranking pipelines to rank model outputs. Produced labeling artifacts including annotation guidelines, taxonomy structures, and evaluation rubrics for scalable assessment of reasoning, factuality, and hallucination behaviors. Developed synthetic datasets and benchmark evaluation methodologies to improve response reliability and content accuracy. • RLHF-style preference ranking and human feedback workflow design • Annotation guideline/taxonomy creation for evaluation labels • Adversarial red-team testing to surface safety and reliability issues • Synthetic dataset generation and multilingual moderation QA support

2016 - 2023

Technical Knowledge Systems & Analytics Lead

OtherText

Oversaw quality review and auditing of large-scale digital content, applying structured verification processes to ensure compliance and information accuracy. Built knowledge systems and operational documentation that supported consistent categorization, metadata structuring, and QA evaluation labels for research operations. Improved workflow efficiency through data validation and structured research methodologies used across analytics and reporting teams. • Large-scale content auditing and information verification labeling • Data categorization and metadata structuring processes • Quality review/compliance analysis for digital content • Documentation and standards to support cross-functional QA

2008 - 2016

Education

Work History