I'm Ashley Palmer, a data science professional with six years of experience spanning AI, data annotation, transcription, and quality assurance. I thrive in fast-paced remote environments and enjoy turning complex data into accurate, model-ready insights. With a strong foundation in Python, SQL, and ML workflows, I excel at building reliable QA processes, streamlining annotation, and delivering high-quality results. I'm passionate about collaboration across cross-functional teams and continuously learning to improve data quality and AI solutions.

Ashley Palmer

I'm Ashley Palmer, a data science professional with six years of experience spanning AI, data annotation, transcription, and quality assurance. I thrive in fast-paced remote environments and enjoy turning complex data into accurate, model-ready insights. With a strong foundation in Python, SQL, and ML workflows, I excel at building reliable QA processes, streamlining annotation, and delivering high-quality results. I'm passionate about collaboration across cross-functional teams and continuously learning to improve data quality and AI solutions.

Available to hire

I’m Ashley Palmer, a data science professional with six years of experience spanning AI, data annotation, transcription, and quality assurance. I thrive in fast-paced remote environments and enjoy turning complex data into accurate, model-ready insights.

With a strong foundation in Python, SQL, and ML workflows, I excel at building reliable QA processes, streamlining annotation, and delivering high-quality results. I’m passionate about collaboration across cross-functional teams and continuously learning to improve data quality and AI solutions.

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Experience Level

Expert
Expert
Expert
Expert
Expert
Expert

Language

English
Fluent

Work Experience

Data Quality Reviewer at Sama
January 1, 2024 - December 1, 2025
Led end-to-end quality assurance for large-scale AI training datasets across computer vision, NLP, and multimodal projects. Audited annotated data for accuracy, consistency, and compliance with project-specific labeling guidelines. Designed and enforced quality benchmarks, review checklists, and escalation procedures to reduce annotation errors. Performed root-cause analysis on recurring annotation issues and implemented corrective actions. Collaborated with project managers, data scientists, and ML engineers to align data quality with model requirements. Provided detailed written feedback to annotators and conducted one-on-one coaching sessions to improve performance. Tracked inter-annotator agreement (IAA) and quality metrics to monitor team performance over time. Assisted in onboarding and training new reviewers and annotators on evolving project standards. Ensured timely delivery of high-quality datasets in a fast-paced, remote environment.
Annotation Reviewer at Telus International
January 1, 2022 - January 1, 2024
Reviewed, validated, and corrected annotated datasets including text classification, image labeling, and audio tagging. Ensured annotation outputs met strict client specifications, accuracy thresholds, and turnaround times. Conducted secondary and tertiary reviews to identify edge cases and guideline misinterpretations. Documented annotation errors and trends, contributing to continuous process improvement. Prepared quality reports and summaries for internal stakeholders and project leads. Supported guideline refinement by flagging ambiguities and suggesting clarifications. Mentored junior annotators, providing guidance on best practices and quality expectations. Maintained confidentiality and data security standards across all assigned projects.
Remote Transcriptionist at Verbit AI
January 1, 2020 - January 1, 2022
Transcribed and time-stamped audio and video content with high accuracy for AI training and client deliverables. Edited and corrected AI-generated transcripts to meet strict quality and formatting standards. Identified recurring speech recognition errors and provided structured feedback to improve ASR models. Handled diverse content types including meetings, lectures, interviews, and technical discussions. Met tight deadlines while managing multiple transcription tasks concurrently. Followed detailed style guides and client-specific transcription rules. Ensured confidentiality and data protection.
Data Science Intern at Microsoft
January 1, 2019 - January 1, 2020
Assisted in collecting, cleaning, and preprocessing structured and unstructured datasets for ML projects. Supported feature engineering and exploratory data analysis using Python and SQL. Helped develop and evaluate predictive models under the guidance of senior data scientists. Created data visualizations and dashboards to communicate insights to technical and non-technical stakeholders. Contributed to documentation, internal reports, and presentations on model performance. Gained hands-on experience with Azure Machine Learning, cloud workflows, and version control.

Education

Master of Science in Data Science at Duke University
January 11, 2030 - January 1, 2018
Bachelor of Science in Information Technology at Stanford University
January 11, 2030 - January 13, 2026

Qualifications

Google Data Analytics Professional Certificate
January 11, 2030 - January 13, 2026
AWS Certified Machine Learning – Specialty
January 11, 2030 - January 13, 2026
Microsoft Azure AI Fundamentals
January 11, 2030 - January 13, 2026
Certified Data Management Professional (CDMP)
January 11, 2030 - January 13, 2026

Industry Experience

Software & Internet