Mason E.

Key Skills

Software

AWS SageMaker

Top Subject Matter

Prompt engineering and LLM response quality

AI response evaluation and quality/safety assessment

Content research and dataset preparation

Top Data Types

Text

Image

Document

Top Task Types

Prompt + Response Writing (SFT)

Text Generation

Fine-tuning

Data Collection

Freelancer Overview

AI Prompt Engineer (AI Training Platform). Core strengths include Internal and Proprietary Tooling. AI-training focus includes data types such as Text and labeling workflows including Prompt + Response Writing (SFT), Evaluation, and Rating.

Labeling Experience

Quality Assurance & AI Testing Specialist (AI Training Platform)

Text

Executed structured testing of AI models to identify inconsistencies, bugs, and failure cases. Compiled detailed QA reports and communicated findings clearly to project teams. Ensured AI outputs aligned with defined quality standards before deployment. • Structured model testing for failures and inconsistencies • QA report creation and stakeholder communication • Verification of output alignment to standards • Identification of bugs and edge cases

Present

Conversational AI Trainer (AI Training Platform)

TextData Collection

Created diverse, realistic dialogue samples to improve chatbot and virtual assistant performance. Simulated user interactions across various tones, intents, and contexts for training data. Collaborated on refining conversational flows to improve user experience outcomes. • Dialogue sample creation for conversational models • User interaction simulation (tones/intents/contexts) • Training data preparation for chatbots • Iteration on conversational flows

Present

AI Data Annotation Specialist (AI Training Platform)

TextFine-tuning

Annotated text, image, and conversational data to train and fine-tune AI models. Applied annotation guidelines consistently to maintain high inter-annotator agreement. Completed annotation tasks efficiently while maintaining accuracy benchmarks. • Text/image/conversation annotation for training • Consistent use of annotation guidelines • Quality via inter-annotator agreement • Accuracy-focused completion of tasks

Present

Content & Research Analyst (AI Training Platform)

TextText Generation

Conducted targeted research to verify AI-generated claims and improve content accuracy. Produced well-structured written content that was used in AI training datasets. Ensured all content met quality, formatting, and factual accuracy standards. • Claim verification via targeted research • Writing structured content for training data • Quality and formatting checks • Factual accuracy validation

Present

AI Response Evaluator (AI Training Platform)

Text

Reviewed and rated AI-generated responses for accuracy, clarity, tone, and safety. Flagged hallucinations, factual errors, and policy violations in model outputs. Provided structured written feedback to guide model improvement iterations. • Accuracy, clarity, tone, and safety rating • Hallucination and factual error identification • Policy violation detection and flagging • Structured written feedback for iteration

Present

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Education

Work History