AI Data Annotation Specialist Resume Sample
Tried and tested resume sample for your next job in 2026. Get a jump-start, by editing this AI Data Annotation Specialist resume sample. Just update this sample with your details, download and launch your career to new heights today!
Ethan Walker
AI Data Annotation Specialist
Detail-focused AI Data Annotation Specialist with hands-on experience preparing, labeling, and validating large datasets for machine learning and artificial intelligence models. Skilled in text, image, audio, and video annotation with strong knowledge of data quality standards, annotation guidelines, and AI training workflows. Adept at working with cross-functional teams to improve model accuracy, reduce bias, and support scalable AI development.
Experience
AI Data Annotation Specialist
NeuralVision Labs, Sydney, Australia
March 2023 – Present
- Annotated large-scale image and video datasets using bounding boxes, polygons, and semantic segmentation for computer vision models.
- Ensured annotation accuracy by reviewing datasets against strict quality and consistency standards.
- Worked closely with machine learning engineers to update labeling rules based on model feedback.
- Identified edge cases such as occlusions, motion blur, and low-light conditions to improve dataset reliability.
- Performed regular quality audits to reduce annotation errors and rework rates.
- Maintained detailed documentation for dataset versions, labeling changes, and review outcomes.
- Used advanced annotation tools to handle complex object detection and classification tasks.
- Supported model training cycles by delivering clean, validated datasets within project deadlines.
Data Annotation Analyst
Cognitive AI Solutions, Melbourne, Australia
June 2021 – February 2023
- Labeled large volumes of text and audio data for NLP and speech recognition systems.
- Applied intent classification, entity recognition, and sentiment tagging to conversational datasets.
- Followed structured annotation guidelines to maintain uniform labeling across multiple projects.
- Reviewed peer annotations to ensure consistency and compliance with quality benchmarks.
- Assisted in identifying bias and data imbalance within annotated datasets.
- Collaborated with product and AI teams to clarify ambiguous labeling scenarios.
- Managed high annotation workloads while meeting daily and weekly productivity targets.
- Updated annotation documentation to reflect evolving project requirements.
Junior AI Data Annotator
TechCore Analytics, Brisbane, Australia
January 2020 – May 2021
- Performed basic image and text annotation tasks for early-stage AI model training.
- Categorized data based on predefined labels and classification rules.
- Assisted senior annotators in reviewing datasets for accuracy and completeness.
- Learned and applied annotation standards for different AI use cases.
- Maintained organized records of completed annotation tasks and revisions.
- Used multiple annotation platforms to label structured and unstructured data.
- Flagged unclear or inconsistent data samples for further review.
- Supported data preparation activities to ensure smooth model development workflows.
Education
Bachelor of Information Technology
University of Technology Sydney
2016 – 2019
Projects
Customer Support Chatbot Training Dataset
- Labeled customer queries with intent and sentiment tags to enhance chatbot response accuracy.
- Collaborated with NLP engineers to adjust labeling strategies based on model feedback.
Autonomous Vehicle Image Dataset
- Annotated thousands of street-level images with bounding boxes and segmentation for object detection models.
- Improved dataset accuracy by refining edge cases such as low-light and occluded objects.
400-000-XXX
Parramatta, NSW 2150, Australia
Skills
Annotation Tools (Labelbox, CVAT, Supervisely)
AI Model Training Support
Bias Detection and Data Validation
NLP and Computer Vision Data Support
Bounding Boxes, Polygons, and Segmentation
Annotation Guidelines Development
Data Quality Assurance
Machine Learning Dataset Preparation
Image, Text, Audio, and Video Annotation
Data Annotation and Labeling
Certifications
Certified Data Annotation Specialist – AI Training Institute
Machine Learning Data Preparation Certificate – Coursera
Introduction to Computer Vision – Udemy
Related resume samples