Graham H.

Key Skills

Software

Other

AWS SageMaker

Dataloop

Data Annotation Tech

Google Cloud Vertex AI

Argilla

Appen

OneForma

Top Subject Matter

Legal technology (probate/estate automation) and LLM response evaluation

Automation workflow design and structured prompt/response generation

Digital marketing QA and AI-assisted content evaluation

Top Data Types

Video

Image

Text

Top Task Types

Bounding Box

Text Summarization

Question Answering

Text Generation

Object Detection

Classification

Segmentation

Entity (NER) Classification

Freelancer Overview

Founder / AI Automation Builder (LawLogic AI & Legal Automation Projects) — LLM evaluation and prompt/response QA. Brings 9+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Founder / AI Automation Builder (LawLogic AI & Legal Automation Projects) — LLM evaluation and prompt/response QA

OtherText

Performed LLM evaluation and AI-output QA for legal-tech workflows by checking completeness, scenario fit, formatting consistency, and instruction-following before client use. Reviewed multiple AI responses to identify unsupported claims, vague reasoning, missing context, and weak follow-through, then provided evidence-based guidance for improvement. Validated strict structured JSON outputs to ensure reliability and downstream document quality. • Completeness, scenario-fit, and instruction-following checks • JSON schema/structured output validation for formatting consistency • Fact checking and hallucination detection in generated legal workflow text • Rubric-style assessment and concise written feedback for training teams

2024 - Present

Founder / Digital Marketing Strategist (Hawks & Co. Media) — AI content QA and evaluation

OtherText

Evaluated marketing assets and AI-assisted content for clarity, user intent, factual consistency, formatting, tone, and conversion effectiveness. Reviewed generated ad concepts, copy, and content for weaknesses and mismatches to improve downstream performance. Used analytics-driven QA practices to judge quality signals and identify actionable improvements. • Content QA for clarity, tone, and instruction alignment • Factual consistency and formatting review • Conversion-focused content evaluation • Iterative refinement using performance metrics and clean implementation

2023 - Present

Founder / AI Automation Builder — structured prompt creation and QA for AI-generated automation

OtherTextPrompt + Response Writing (SFT)

Created and iteratively refined structured prompts for AI-assisted automation workflows, including document-generation logic and multi-step reasoning instructions. Produced SOPs and prompt templates intended to elicit consistent, well-formatted outputs that can be validated and used by clients or internal teams. Applied QA checkpoints and structured reviews to keep outputs aligned with user intent and operational requirements. • Prompt engineering for structured, multi-step workflow generation • Instruction-following review to ensure usable outputs • QA checkpoint design for repeatable automation execution • Development of SOPs and process documentation for model-facing workflows

2023 - Present

Education

Work History