Harper T.

Key Skills

Software

Other

Labelbox

Top Subject Matter

Conversational AI

LLM safety evaluation

RLHF data labeling

Top Data Types

Text

Top Task Types

RLHF

Classification

Entity (NER) Classification

Freelancer Overview

Senior AI Trainer / RLHF Data Specialist, InsightLabel AI. Brings 4+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Other and Labelbox. Education includes Bachelor of Science, N/A (2022). AI-training focus includes data types such as Text and labeling workflows including RLHF, Evaluation, and Rating.

Labeling Experience

Senior AI Evaluator / RLHF Data Specialist - InsightLabel AI

LabelboxTextRLHF

Led LLM evaluation efforts using structured rubrics to measure quality, reasoning, and conversational performance. Performed RLHF preference ranking and scoring to support human-feedback optimization of model behavior. Designed and maintained annotation and testing processes to ensure dataset consistency, including adversarial evaluation for hallucinations and bias. • Create evaluation rubrics and scoring criteria for conversational AI • Execute RLHF ranking and preference scoring workflows • Develop dataset guidelines for consistency and quality assurance • Run adversarial tests to detect hallucinations and bias

2024 - Present

Senior AI Trainer / RLHF Data Specialist, InsightLabel AI

OtherTextRLHF

Performed LLM evaluation using structured rubrics and contributed to RLHF preference scoring for conversational models. Conducted annotation-guideline design to improve dataset consistency and reliability across labeled examples. Ran adversarial testing focused on hallucination detection, bias detection, and safety evaluation. • LLM evaluation with rubric-based scoring • RLHF ranking and preference scoring • Adversarial chatbot testing (hallucinations, bias) • Prompt collaboration to improve model behavior

2024 - Present

AI Quality Analyst (Chatbot) - DataMind Labs

LabelboxTextClassificationRLHF

Contributed to NLP chatbot dataset evaluation and quality assurance by reviewing AI outputs for logic and safety. Supported prompt engineering experiments and improvements focused on better model responses. Assisted with maintaining dataset consistency and labeling quality through careful analysis and iterative refinement. • Evaluate chatbot outputs for logic quality and safety concerns • Support prompt engineering experiments and iteration • Improve dataset consistency through QA and feedback loops • Assist with labeling-quality improvements and normalization

2023 - 2024

AI Training Associate, DataMind Labs

OtherText

Annotated NLP datasets intended for chatbot systems and performed output evaluation to ensure logic and safety. Supported prompt engineering experiments by contributing structured feedback and labeling improvements. Improved dataset consistency and labeling quality through quality assurance and iterative corrections. • Annotated NLP chatbot datasets • Evaluated AI outputs for logic and safety • Supported prompt engineering experiments • Improved dataset consistency and labeling quality

2023 - 2024

AI Data Annotation Specialist, Independent Projects

OtherTextClassification

Built datasets for sentiment and intent classification by creating and validating labeled training data. Validated AI outputs and applied corrections to improve label accuracy. Performed data cleaning and normalization to ensure labeled datasets were consistent and usable for early AI team development. • Built sentiment and intent classification datasets • Validated AI outputs and corrections • Data cleaning and normalization • Supported early AI dataset improvement

2022 - 2023

Education

Work History