Mary C.

Key Skills

Software

Scale AI

Appen

Remotasks

Top Subject Matter

Natural Language Processing

Chatbots Domain Expertise

LLM Evaluation

Top Data Types

Text

Document

Top Task Types

Text Summarization

RLHF

Fine-tuning

Red Teaming

Transcription

Question Answering

Text Generation

Object Detection

Evaluation/Rating

Freelancer Overview

AI Data Annotator / Trainer. Core strengths include Scale AI, Appen, and Remotasks. Education includes High School Diploma, Lakeville North High School (2018). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Output Reviewer

RemotasksText

As an AI Output Reviewer at Remotasks, I review 300-500+ AI-generated responses daily across domains. I evaluate outputs for factual accuracy, coherence, completeness, and tone, applying detailed scoring rubrics to ensure quality. Actionable feedback is provided for flagged hallucinations, bias, and non-compliant responses, aiming to improve AI model performance. • Conduct high-volume output review of AI responses • Ensure adherence to strict productivity and quality benchmarks • Apply scoring rubrics to various AI output types • Deliver actionable feedback to enhance AI systems

2024 - Present

AI Data Annotator / Trainer

Scale AIText

As an AI Data Annotator and Trainer at Scale AI, I annotated and evaluated large NLP datasets for model training and validation. I performed response ranking, grading, and comparative evaluation tasks on textual content. My work ensured project guideline compliance and contributed structured feedback for improving model outputs. • Performed annotation and evaluation of NLP datasets used for AI training • Applied structured scoring rubrics and feedback • Ensured data consistency and policy adherence • Focused primarily on text-based data and responses

2023 - 2023

Content Moderator & AI Evaluator

AppenText

As a Content Moderator and AI Evaluator at Appen, I reviewed AI-generated and user content for policy compliance and safety. I identified and flagged harmful, biased, or low-quality outputs, documenting edge cases for continuous quality improvement. My responsibilities supported quality assurance processes through detailed reporting and evaluations. • Moderated and evaluated AI-generated and user data • Identified compliance and safety issues in textual data • Documented recurring issues and contributed to QA • Focused on review and evaluation of text samples

2022 - 2022

Education