Brittney M.

Key Skills

Software

Label Studio

Scale AI

Appen

Remotasks

iMerit

Labelbox

Mercor

Telus

Other

Top Subject Matter

Mathematical reasoning validation and AI quality assurance

Data QA for AI speech/transcription systems

Customer success support operations with evaluation-style feedback

Top Data Types

Text

Audio

Document

Top Task Types

Question Answering

Evaluation/Rating

Computer Programming/Coding

Prompt + Response Writing (SFT)

Text Generation

Classification

Bounding Box

Freelancer Overview

AI Quality Assurance & Mathematical Evaluator (Remote) | 2023–Present. Brings 4+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other, Internal, and Proprietary Tooling. Education includes Bachelor of Science, University of Arizona (2026) and Associate Degree, N/A (2022). AI-training focus includes data types such as Computer Code, Programming, and Document and labeling workflows including Evaluation, Rating, and Text Generation.

Labeling Experience

Customer Success Specialist | Trainual (Tempe, Arizona) | 2025–Present

Text

Provided support and guidance in a B2B SaaS environment by handling customer inquiries with an emphasis on high-quality responses. Monitored customer feedback and collaborated with cross-functional teams to improve processes that directly affect user outcomes. While not a standalone annotation role, performed structured evaluation-style support and feedback collection relevant to AI-enabled customer experiences. • Managed onboarding and account support processes • Resolved issues and maintained high response quality • Tracked customer feedback for iterative improvements • Partnered with teams to improve adoption and retention

2025 - Present

AI Quality Assurance & Mathematical Evaluator Handshake AI(Remote) | 2023–Present

OtherImageBounding Box

Evaluated AI-generated responses involving technical workplace scenarios, applying structured review guidelines to assess accuracy, relevance, and decision quality. Reviewed complex, multi-step reasoning tasks and validated outputs against established evaluation criteria. Demonstrated strong analytical judgment when assessing ambiguous scenarios and providing clear, evidence-based justifications for labeling decisions. Maintained high accuracy and consistency across large-scale human-in-the-loop evaluation projects to improve AI performance and reliability. • Applied structured scoring frameworks to evaluate AI-generated decisions and reasoning across complex scenarios • Reviewed technical context, including system behavior, operational workflows, and incident-related information to assess response quality • Provided concise, defensible justifications for evaluation outcomes, ensuring consistency with project guidelines • Identified logical inconsistencies, missing context, and reasoning errors in AI-generated outputs • Performed human-in-the-loop quality assurance to improve AI accuracy, reliability, and decision-making capabilities • Used Python and analytical tools to validate outputs, investigate discrepancies, and support data-driven evaluations • Maintained high attention to detail while working with large volumes of structured evaluation tasks under quality standards • Contributed iterative feedback that enhanced AI performance, reasoning quality, and compliance with evaluation rubrics.

2023 - Present

AI Content Reviewer and Data Annotator

Label StudioText

Reviewed and annotated thousands of text, audio, and multimodal samples for AI model development. Evaluated AI-generated mathematical and technical responses for logical coherence, proof validity, and factual correctness. Identified hallucinations, flawed derivations, and unjustified assumptions during review. • Maintained an annotation accuracy of 95–98% on complex projects • Applied structured prompt testing to LLMs for improved reasoning • Ensured rigorous compliance with safety and annotation standards • Delivered high-volume, deadline-driven evaluations with analytic precision.

2023 - Present

QA Reviewer (Audio and Speech Data)

OtherDocumentText Generation

Conducted quality audits on structured datasets used for AI systems, including reliability checks for speech and transcription materials. Reviewed transcription and audio-linked datasets and provided structured feedback intended to improve downstream model performance. Supported human-in-the-loop dataset quality improvement for AI training pipelines. • Audited structured data for quality and consistency • Reviewed transcription and audio dataset reliability • Delivered structured reviewer feedback to model development • Contributed to improved AI model performance through QA findings

2023 - 2024

Education

Work History