Anna Smith

Key Skills

Software

Data Annotation Tech

Mindrift

Scale AI

Top Subject Matter

No subject matter listed

Top Data Types

Text

Top Label Types

Question Answering

Text Generation

RLHF

Evaluation Rating

Prompt Response Writing SFT

Freelancer Overview

I am an experienced AI training and data annotation specialist with a strong background in evaluating AI-generated content for accuracy, coherence, and compliance. My expertise includes data labeling, comparative response ranking, prompt engineering, and detailed bias and hallucination detection. I have evaluated hundreds of AI outputs using structured scoring rubrics and taxonomy-based categorization, ensuring high-quality and reliable datasets for model improvement. My work involves rigorous fact-checking, dataset validation, and quality assurance, leveraging tools such as ChatGPT, Claude, Google Gemini, and structured annotation templates. With a foundation in computer science, I am committed to delivering precise, guideline-compliant results in remote and fast-paced AI workflows.

Labeling Experience

Audio transcription and Emotion Recognition Project

Scale AIAudioEmotion RecognitionTranslation Localization

Worked on audio annotation and transcriptiontasks to support speech recognition and sentiment analysis models. Scope of work: .Labeled emotions,speaker identity and speech intent in audio clips. .Classified audio samples by tone,sentiment and language quality. .Followed structured annotation guidelines and verification protocols.

Worked on audio annotation and transcriptiontasks to support speech recognition and sentiment analysis models. Scope of work: .Labeled emotions,speaker identity and speech intent in audio clips. .Classified audio samples by tone,sentiment and language quality. .Followed structured annotation guidelines and verification protocols.

2024

LLM Response Evaluation and RLHF Data Annotation Project

Data Annotation TechTextQuestion AnsweringText Generation

Worked on structured AI response evaluation and reinforcement learning support tasks involving Large Language Models outputs. project scope: .Performed pair wise comparison and multiple response ranking using structured scoring rubrics. .Identified hallucinations,bias,patterns,unsafe content and policy violations. .Apllied taxonomy based cartegoration for structured annotation workflows. .Rewrote and optimized low-quality responses to improve clarity and compliance.

Worked on structured AI response evaluation and reinforcement learning support tasks involving Large Language Models outputs. project scope: .Performed pair wise comparison and multiple response ranking using structured scoring rubrics. .Identified hallucinations,bias,patterns,unsafe content and policy violations. .Apllied taxonomy based cartegoration for structured annotation workflows. .Rewrote and optimized low-quality responses to improve clarity and compliance.

2024

Image Annotation forObject Detection and Bounding Box Labeling

MindriftImageBounding BoxEntity Ner Classification

Contributed to computer vision dataset development by performing structured image annotation tasks for object detectiona and classification models. Scope of work: .Labeled multiple object classes according to defined taxonomy guidelines. .Ensured precise object boundary allignment and accurate class assignment. .Performed quality review and correction of mislabeled annotation. .Flaged ambiguous ot low-visibility objects for secondary review.

Contributed to computer vision dataset development by performing structured image annotation tasks for object detectiona and classification models. Scope of work: .Labeled multiple object classes according to defined taxonomy guidelines. .Ensured precise object boundary allignment and accurate class assignment. .Performed quality review and correction of mislabeled annotation. .Flaged ambiguous ot low-visibility objects for secondary review.

2024 - 2024

Education

Work History