Ashley Everette
Kannapolis,US
Summary
Detail-oriented and results-driven professional with nearly three years of experience supporting AI/ML model development, annotation, and trust & safety review for a Fortune Tech 10 client. Skilled in evaluating and refining conversational AI outputs, ensuring compliance with safety and ethical guidelines, and enhancing user experience through accurate data labeling and feedback. Proficient in organizing, analyzing, and synthesizing large volumes of data using Excel, Word, PowerPoint, and other digital tools. Known for accuracy, adaptability, and process improvement, with a proven ability to learn new guidelines quickly and consistently meet productivity and quality targets. Strong communicator with a background in data entry, technical support, and system analysis, bringing both technical expertise and user-focused insight into AI and data-driven projects.
Overview
4
4
years of professional experience
1
1
Certification
Work History
AI Engineer
Krybe
04.2026 - Current
- Build and improve AI solutions for automation, intelligent systems, and educational tools.
- Key Contributions:
- Build and improve machine learning models and AI systems.
- Design and test prompts and multi-agent pipelines.
- Develop AI agents using Cursor, OpenClaw, and Claude.
- Run experiments to test AI performance in real-world scenarios.
- Support development of AI-powered educational tools with mentors.
- Perform QA checks and create test cases to ensure accuracy.
- Apply detailed annotation logic for complex scenarios.
- Troubleshoot issues and improve system performance.
- Identify AI/ML opportunities and help define product requirements.
- Support strategy for Generative AI and LLM features.
- Join code reviews and team discussions.
- Take ownership of tasks and solve problems independently.
- Work closely with team members and learn from senior engineers.
- Remote
AI Trust & Safety Evaluation Consultant
LinkedIn
04.2026 - 05.2026
- As an Adversarial Risk Evaluation AI Trainer, I evaluated AI-generated responses from various AI models for safety, policy compliance, and content relevance across categories including hate speech, sexual content, violence, harassment, and self-harm. Applied structured evaluation rubrics, assigned severity ratings, and produced written justifications to support high-quality AI training and evaluation datasets.
- Key Contributions:
- Reviewed prompt-response pairs generated by AI systems to assess safety, policy alignment, and response quality.
- Assigned relevance and quality scores using standardized rating scales and evaluation frameworks.
- Evaluated and classified safety risks across multiple sensitive content categories, including hate, violence, sexual content, and self-harm.
- Applied severity ratings in accordance with detailed policy and moderation guidelines.
- Provided concise written rationales for evaluation of decisions, ensuring transparency, consistency, and alignment with annotation standards.
- Maintain consistency and accuracy across high volumes of annotation and review tasks.
- Participated in QA calibration processes and incorporated feedback to improve evaluation of quality and inter-rater reliability.
- Contributed to the development of reliable, high-quality datasets used for AI safety training and model evaluation.
- Demonstrated strong attention to detail while handling sensitive and policy-regulated content.
- Remote
- 40 hours per week
Data Annotator/Quality Assurance Consultant
Experis
01.2026 - 04.2026
- Completed comprehensive training in data labeling and quality assurance standards, demonstrating a strong understanding of accuracy, consistency, and compliance requirements. Contributed to the classification of content by determining whether materials were sensitive or non-sensitive in accordance with established guidelines. Evaluated legal documents to identify confidential and non-confidential information, supporting data integrity and regulatory compliance. Strengthened quality control processes by applying detailed review criteria to ensure proper handling of sensitive and protected content.
- Key Contributions:
- Completed comprehensive training in data labeling and quality assurance standards, ensuring accuracy, consistency, and compliance with established guidelines.
- Assisted in determining whether content was sensitive or non-sensitive based on defined classification criteria.
- Reviewed and evaluated legal documents to identify confidential and non-confidential information in accordance with regulatory and organizational requirements.
- Applied detailed quality control measures to support proper handling of sensitive and protected data.
- Contributed to data integrity and risk mitigation by ensuring content meets quality and confidentiality standards.
- Remote
- 40 hours per week
English Language Model Specialist
iMerit Scholars
11.2025 - 02.2026
- Supported large-scale artificial intelligence and machine learning initiatives by reviewing, correcting, and validating algorithm-generated annotations for visual datasets. Focused on improving data quality and model performance through precise video labeling, quality assurance processes, and close collaboration with project team leads to ensure annotations meet evolving project standards.
- Key Contributions:
- Generated and annotated high-quality visual datasets in accordance with detailed, project-specific guidelines and rubrics.
- Reviewed and corrected algorithm-generated bounding boxes in video data to improve object detection and tracking accuracy.
- Performed frame-by-frame video labeling and validation across large-scale datasets, ensuring temporal consistency and precision.
- Annotated complex visual data based on real-world scenarios to support robust AI and machine learning model training.
- Conducted quality assurance reviews to identify labeling errors, edge cases, and inconsistencies while maintaining data ethics standards.
- Collaborated with project leads to aligning annotations with evolving model requirements and quality expectations.
- Utilized industry-standard annotation tools to refine, validate, and optimize datasets.
- Documented annotation challenges and provided structured feedback to improve labeling guidelines and workflow efficiency.
- Remote
- 40 hours per week
English Language Audio Model Trainer
Mercor
11.2025 - 02.2026
- Contributed to the development of advanced multimodal artificial intelligence systems by creating, evaluating, and validating high-quality audio and visual training data. Supported AI models designed to integrate and interpret speech, images, and video through strict adherence to data accuracy, linguistic standards, and quality control processes.
- Key Contributions:
- Evaluated video and image content to ensure dataset quality and alignment with model training requirements.
- Recorded clear, high-quality audio clips describing visual content to support speech and vision model learning.
- Annotated images using structured labeling guidelines and standardized annotation tools.
- Ensured audio and visual data meet rigorous quality standards for clarity, consistency, and accuracy.
- Followed detailed linguistic and project-specific annotation guidelines to maintain dataset reliability.
- Collaborated with AI researchers and quality assurance teams to identify issues and continuously improve data quality workflows.
- Remote
- 40 hours per week
Language Model Generalist Rater
GlobalLogic
01.2023 - 11.2025
- On behalf of GlobalLogic, supporting a Fortune Tech 10 company in Research, Artificial Intelligence, Machine Learning, and Natural Language Processing, with a focus on ensuring the accuracy, safety, and timeliness of AI data feeds and outputs. The role involves examining the effectiveness of conversational AI intents, providing recommendations for improvement, and addressing issues to minimize user friction and enhance client satisfaction. I also participate in project forums by interpreting customer feedback, monitoring satisfaction metrics, and helping drive initiatives to improve AI performance.
- Key Contributions:
- Annotated and evaluated AI generated model outputs across multiple formats (images, videos, audio, documents, slides, meetings, PowerPoints, and emails).
- Verified that model responses fulfilled prompts accurately, flagging and correcting errors based on established guidelines.
- Ensure compliance with ethical AI standards, eliminate biases from bots, and examine bot responses for potential safety violations by following the client's safety guidelines.
- Collaborated with ML engineers and research teams to refine model accuracy and dataset structure.
- Optimized existing processes and provided ongoing feedback to refine tools, workflows, and annotation standards.
- Consistently achieved productivity and accuracy goals while adapting quickly to new project requirements.
- Remote
- 40 hours per week
Code Rater
Outlier
02.2024 - 03.2024
- Key Contributions:
- Design and solve diverse coding problems used to train AI systems.
- Write clear, high-quality code snippets and detailed explanations.
- Evaluate AI-generated code for accuracy, performance, and clarity.
- Provide feedback that directly shapes the next generation of AI models.
- Remote
- 20 hours per week
Technical Customer Service Advisor
Anthology - Blackboard, Inc.
03.2022 - 10.2022
- Resolved end user inquiries by utilizing chat technologies, provided complete and accurate information to customers on every live chat interaction by researching account activity and notes promptly and efficiently, handled and resolved situations with customers in a timely and effective manner, assisted management with special projects relating to customer service, responding to all inbound chats and assisted management for the entire shift with exception of assigned break times. Assisted customers with installing, maintaining, and troubleshooting computers, printers, phones, and other peripheral equipment, troubleshooting hardware and software issues, performed software installations, performed remote troubleshooting, walked customers through outlined problem-solving processes, used the knowledge base system. Asked questions to determine the nature of the problem, serving as a first point of contact for customers seeking technical assistance over chat.
- Key Contributions:
- Top agent handling chats for Blackboard, Inc.
- Handled up to 4 chats at a time.
- Improved performance over a given time.
- Remote
- 40 hours per week
Education
Master of Science - Data Science
Eastern University
St. Davids, PA12-2023
Master of Science - Management Information Systems & Business Administration
University of Maryland Global Campus
Adelphi, MD12-2018
Bachelor of Science - Electronics & Information Technology
North Carolina Agricultural & Technical State University
Greensboro, NC12-2011
Skills
- Data & Business Analyses
- Data Annotation & Labeling
- Prompt Authoring & Evaluation
- Natural Language Processing
- Process Improvements
- Quality Assurance
- Customer Service
- AI & Machine Learning
- Technical Support
- Data Virtualization
- Data Systems & Analytics
- Generative AI
Certification
Business Analytics Certification, Simplilearn, 2021
Languages
English, Native Speaker
Timeline
AI Engineer
Krybe
04.2026 - Current
AI Trust & Safety Evaluation Consultant
LinkedIn
04.2026 - 05.2026
Data Annotator/Quality Assurance Consultant
Experis
01.2026 - 04.2026
English Language Model Specialist
iMerit Scholars
11.2025 - 02.2026
English Language Audio Model Trainer
Mercor
11.2025 - 02.2026
Code Rater
Outlier
02.2024 - 03.2024
Language Model Generalist Rater
GlobalLogic
01.2023 - 11.2025
Technical Customer Service Advisor
Anthology - Blackboard, Inc.
03.2022 - 10.2022
Master of Science - Data Science
Eastern University
Master of Science - Management Information Systems & Business Administration
University of Maryland Global Campus
Bachelor of Science - Electronics & Information Technology
North Carolina Agricultural & Technical State University