Sarah M.

Key Skills

Software

Data Annotation Tech

Other

Top Subject Matter

AI model output evaluation and prompt-based training support

AI training data preparation

chatbot evaluation

Top Data Types

Text

Image

Document

Top Task Types

Prompt + Response Writing (SFT)

Evaluation/Rating

Freelancer Overview

Outlier AI — AI Data Annotator / AI Model Evaluator (Contract). Brings 3+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other. Education includes Google Project Management Certificate, Google (2026) and Google UX Design Certificate, Google (2026). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

DataAnnotation — AI Training Contributor (Contract)

OtherTextPrompt + Response Writing (SFT)

Contributed to AI training by performing response evaluation, prompt writing, research-based validation, and annotation workflows. Completed structured tasks requiring analytical judgment, detailed instruction compliance, and consistent quality control. Participated in chatbot evaluation and content review work across varied task types. • Evaluated AI responses for training-relevant quality signals • Wrote prompts and supported prompt-related improvements • Conducted research validation/fact checking to ensure correctness • Performed instruction-following annotations for chatbot/content projects

2026 - Present

Outlier AI — AI Data Annotator / AI Model Evaluator (Contract)

OtherText

Served as an AI data annotator and model evaluator, assessing AI outputs for quality, accuracy, relevance, and instruction adherence. Completed structured evaluation tasks aligned with project guidelines and used rubric-based scoring for comparative judgments. Wrote and refined prompts to improve downstream model outputs and training effectiveness. • Evaluated response performance using quality/accuracy/relevance criteria • Performed comparative analysis between multiple model responses with rubric scoring • Ensured strong instruction-following and overall guideline compliance • Adapted quickly to evolving evaluation criteria and workflows

2026 - Present

Education

Work History