Mary M.

Key Skills

Software

Mercor

Clickworker

Top Subject Matter

No subject matter listed

Top Data Types

Text

Image

Video

Top Task Types

Question Answering

Text Generation

RLHF

Text Summarization

Transcription

Evaluation/Rating

Prompt + Response Writing (SFT)

Freelancer Overview

I have experience working on AI training and evaluation projects involving content review, prompt assessment, response evaluation, and quality assurance. My work has included reviewing AI-generated content for accuracy, relevance, reasoning quality, safety, and adherence to project guidelines. I have assessed responses across a variety of domains, identified errors and inconsistencies, provided detailed feedback, and contributed to improving the overall quality and reliability of AI outputs. I am comfortable working with structured guidelines, applying critical thinking, and maintaining high levels of accuracy while handling large volumes of data. What sets me apart is my strong analytical background, attention to detail, and experience in quality-focused roles. With a background in project management, administration, customer service, research, and training, I am skilled at interpreting complex instructions, identifying patterns, making consistent judgements, and meeting strict quality standards. I also have experience using AI tools for content creation, research, and evaluation, which gives me a strong understanding of how AI systems generate responses and where improvements can be made. My ability to combine analytical thinking, clear communication, and rigorous quality control enables me to contribute effectively to AI training and data annotation projects.

Labeling Experience

AI Text Summarization & Content Review Specialist

TextText Summarization

Reviewed and assessed AI-generated summaries for accuracy, completeness, readability, and retention of key information. Evaluated whether summaries effectively captured the main points of source content while maintaining clarity and conciseness. Annotated outputs according to established quality standards and provided detailed feedback to improve summarization performance. Worked with diverse content types, ensuring consistency, factual integrity, and adherence to project requirements.

2024 - Present

AI Question Answering & Content Annotation Specialist

TextQuestion Answering

Created, reviewed, and evaluated question-and-answer datasets designed to improve the performance of conversational AI systems. Assessed responses for correctness, completeness, clarity, and contextual relevance while ensuring alignment with project guidelines. Identified ambiguous prompts, corrected inaccuracies, and enhanced answer quality through detailed annotations and feedback. Demonstrated strong research, critical thinking, and communication skills when evaluating responses across diverse subject areas.

2024 - Present

AI Evaluation & Response Rating Specialist

TextEvaluation/Rating

Evaluated AI-generated responses across a variety of domains to assess accuracy, relevance, coherence, reasoning quality, and adherence to user instructions. Applied detailed evaluation guidelines to score responses, identify factual inaccuracies, detect bias, and assess overall response quality. Conducted comparative analysis between multiple AI outputs and provided structured feedback to support model improvement and quality assurance initiatives. Maintained high levels of consistency, attention to detail, and accuracy while reviewing large volumes of training data

2024 - Present

AI Response Evaluation & Data Annotation Specialist

TextRLHF

Contributed to AI training and data annotation projects focused on improving the performance, accuracy, and safety of Large Language Models (LLMs). Evaluated and annotated AI-generated responses across diverse topics, assessing outputs for relevance, factual accuracy, coherence, reasoning quality, instruction adherence, and safety compliance. Performed comparative response ranking, quality assurance reviews, content evaluation, and error identification using detailed annotation guidelines. Provided structured feedback to support model fine-tuning and performance improvement while maintaining high levels of consistency, accuracy, and attention to detail. Demonstrated strong analytical and critical thinking skills when reviewing complex prompts, identifying inconsistencies, and ensuring high-quality training data for AI systems. Key Skills: Data Annotation, Data Labeling, AI Training, Response Evaluation, Prompt Assessment, Content Review, Quality Assurance, Reasoning Analysis, Fact-Checking, Attention to Detail, Guideline Compliance, Large Language Model Evaluation.

2024 - Present

Education