Sarah B.

Key Skills

Software

Remotasks

Mercor

Mindrift

CVAT

OneForma

Scale AI

SuperAnnotate

Labelbox

Prodigy

Top Subject Matter

AI training data annotation (images and text)

AI training dataset annotation (text and related visual labels)

Top Data Types

Image

Audio

Text

Top Task Types

Classification

Entity (NER) Classification

Bounding Box

Object Detection

Transcription

Segmentation

Prompt + Response Writing (SFT)

Red Teaming

Text Generation

RLHF

Fine-tuning

Question Answering

Cuboid

Evaluation/Rating

Text Summarization

Data Collection

Freelancer Overview

Result-driven and highly analytical AI Trainer and Data Annotator with a strong background in data synthesis, complex entity labeling, and model evaluation. Proven expertise in fine-tuning Large Language Models (LLMs) through Reinforcement Learning from Human Feedback (RLHF), rigorous prompt engineering, and multi-modal data annotation. Skilled in basic annotation tasks such as image labeling and annotation, transcription, Evaluation rating, bounding box, segmentation, RLHF, video annotation, content moderation, text classification, and data tagging. Able to follow instructions carefully, maintain accuracy, and meet deadlines.

Labeling Experience

AI Training and Annotation Specialist — Remote

ClickworkerTextEntity (NER) Classification

•Executed high-density text, image, and audio data annotation projects, consistently maintaining an accuracy rating above 98.5%. •Performed deep-dive Sentiment Analysis and Entity Labeling, establishing strict semantic baselines to train LLMs in nuance, sarcasm, and cultural context. •Evaluate, rank, and rewrite LLM responses using RLHF methodologies, directly improving model safety, factual accuracy, and conversational alignment. •Serve as a subject matter expert for complex edge cases, resolving guidelines ambiguities and updating project taxonomies to reduce annotator bias. •Utilized advanced annotation interfaces (including Multimango ecosystem tools) to label multi-modal datasets, ensuring seamless pipeline integration for machine learning teams.

2024 - Present

AI Data Annotator and Content Specialist - Remote

MercorImageEntity (NER) Classification

•Entity & Sentiment Labeling: Annotated thousands of multi-turn conversational datasets, executing precise sentiment analysis and entity tracking to improve chatbot responsiveness. •Red Teaming & Safety: Participated in targeted adversarial testing (red teaming) to identify vulnerabilities, hallucinations, and policy violations in generative AI models. •Data Curation: Categorized and filtered massive unstructured text and image datasets, stripping out PII (Personally Identifiable Information) and ensuring compliance with data privacy standards. •Annotated large-scale text datasets for Named Entity Recognition (NER) tasks, accurately identifying and classifying proprietary terms, locations, and specialized technical data. •Learned to work with annotation guidelines and quality checks. •Completed tasks like bounding boxes, tagging objects, and simple text classification. •Maintained good accuracy by carefully following instructions. •Reviewed annotations for minor errors and corrected them.

2023 - 2024

Education

Work History