David O.

Key Skills

Software

Label Studio

Scale AI

Top Subject Matter

Legal and research-oriented AI response evaluation (LLM response review/quality assessment)

Legal support and AI output evaluation/quality assessment

Legal Services & Contract Review

Top Data Types

Text

Video

Image

Document

Top Task Types

Classification

Object Detection

Evaluation/Rating

Fine-tuning

Text Summarization

Question Answering

Freelancer Overview

AI Output Evaluation & Comparative Response Review (Independent). Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Claude, ChatGPT, and Gemini. Legal professional and Accredited Mediator with 4+ years of experience in AI output evaluation, structured documentation, client support operations, and legal reasoning workflows. Experienced reviewing and validating AI-generated responses using Claude, ChatGPT, and Gemini for factual consistency, logical accuracy, reasoning quality, and professional appropriateness in legal and research-oriented contexts. Developed a systematic approach to comparing model responses, identifying failure patterns and hallucinations, and applying legal domain knowledge to verify or correct AI-generated content — transferable to AI evaluation, human feedback workflows, and structured quality review pipelines. Background includes high-volume client communication, issue escalation, legal drafting, case documentation, and process-driven support across legal and administrative environments. Proficient with Intercom, Salesforce, ChurnZero, Jira, Notion, Slack, and Google Workspace. Strong fit for AI Evaluation, LLM response review, prompt quality assessment, legal domain evaluation, and human feedback tasks requiring analytical reasoning and attention to detail. Remote (UTC+1); available part-time and can begin immediately. Native English speaker, open to asynchronous collaboration across global time zones.

Labeling Experience

Accredited Mediator — Mediation Training Institute

Document

Certified dispute-resolution training that emphasizes structured reasoning, impartial judgment, and clear written documentation, which maps to evaluation-style workflows used in AI response quality assessment. This role preparation supports the ability to apply consistent guidelines and justify outputs during review tasks. The training aligns with rubric-based evaluation and rationale drafting for complex text inputs. • Structured dispute-resolution reasoning • Impartial judgment and guideline adherence • Clear written documentation for assessments • Rationale drafting for decision support

2025 - Present

AI Output Evaluation & Comparative Response Review (Independent)

Text

Performed structured comparative evaluation of AI-generated legal and professional responses across Claude, ChatGPT, and Gemini. Assessed outputs for factual consistency, reasoning accuracy, instruction adherence, contextual relevance, and professional appropriateness using rubric-style criteria. Documented recurring weaknesses and correction patterns to support consistent and repeatable quality review workflows and human feedback alignment. • Evaluated 50+ legal and research-oriented prompts for hallucinations, logical inconsistencies, incomplete reasoning, and response-quality failures. • Compared model reliability and domain-specific performance to validate or flag outputs needing correction. • Maintained structured documentation of evaluation findings to improve repeatability across review cycles. • Applied legal-domain expertise to recommend corrections when accuracy or quality standards were not met.

2024 - Present

Global Law Firm — Customer Service & Legal Support Specialist (AI legal content evaluation)

Text

Conducted structured comparative evaluation of AI-generated legal content across Claude, ChatGPT, and Gemini in a rubric-style review workflow. Reviewed outputs for factual accuracy, reasoning quality, instruction adherence, and professional appropriateness in legal contexts. Used evaluation results to support downstream human escalation and follow-up across multiple concurrent matters. • Applied rubric-style methods to assess legal content for accuracy, reasoning quality, and instruction compliance. • Supported weekly case intake and issue assessment by documenting matter details and escalating complex issues. • Managed high-volume client communications while maintaining accuracy in deadline-driven workflows. • Drafted and reviewed legal documentation (affidavits, deeds of assignment, quit notices) with compliance and version control.

2024 - 2024

Education

Work History