Tim C.

Key Skills

Software

Lionbridge

Appen

Top Subject Matter

AI/ML multimodal datasets

Computer vision training data (video)

Audio transcription review for AI datasets

Top Data Types

Image

Video

Audio

Text

Document

Top Task Types

Object Detection

Segmentation

Transcription

Classification

Freelancer Overview

AI Data Annotation Specialist (Image labeling & validation). Brings 7+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Lionbridge and Appen. Education includes Master of Science in Engineering Physics, Southern Methodist University (2024) and Bachelor of Science in Mechanical Engineering, Texas A&M University (2022). AI-training focus includes data types such as Image, Video, and Audio and labeling workflows including Object Detection, Segmentation, and Transcription.

Labeling Experience

AI Data Annotation Specialist (Text evaluation/ranking)

LionbridgeText

Performed pairwise comparisons and relevance ranking of AI-generated responses to support model improvement initiatives. Evaluated NLP dataset outputs to ensure they met accuracy and guideline requirements before use in downstream training. Documented quality findings and contributed to iterative refinement of labeling standards. • Conducted pairwise relevance comparisons • Ranked AI responses for quality • Validated NLP datasets for compliance • Supported feedback loops for training readiness

2020 - Present

AI Data Annotation Specialist (Audio transcription review)

LionbridgeAudioTranscription

Reviewed and validated audio transcriptions as part of NLP and multimodal dataset preparation. Checked transcription accuracy and adherence to annotation guidelines for compliance and dataset reliability. Provided feedback to enhance consistency across annotators and reduce recurring errors. • Verified transcription correctness against guidelines • Ensured compliance with labeling standards • Reported issues and suggested improvements • Maintained QA-oriented accuracy benchmarks

2020 - Present

AI Data Annotation Specialist (Video frame annotation)

LionbridgeVideoSegmentation

Performed video frame annotation and labeling tasks for training and evaluation datasets. Labeled objects across video content using polygons and segmentation approaches aligned to annotation guidelines. Reviewed and validated labeled outputs to ensure quality and productivity in concurrent assignment queues. • Annotated video frames using segmentation methods • Tagged and categorized objects consistently • Conducted validation and quality checks • Coordinated with QA and project teams remotely

2020 - Present

AI Data Annotation Specialist (Image labeling & validation)

LionbridgeImageObject Detection

Executed high-volume image labeling for AI/ML projects, including tagging objects with bounding boxes and polygon-based annotations. Applied semantic segmentation techniques to categorize and delineate visual regions in images and related video frames. Performed relevance and pairwise comparison checks to support model improvement workflows. • Labeled objects using bounding boxes and polygons • Supported semantic segmentation labeling • Validated annotation guideline compliance • Contributed feedback to improve consistency and workflow efficiency

2020 - Present

Data Quality Analyst (Multilingual QA evaluation)

AppenText

Maintained production targets while applying consistent quality criteria to dataset evaluation tasks. Documented quality issues with detailed reporting to enable process improvements for annotation teams. Supported multilingual dataset evaluation activities aligned to global AI initiatives. • Met production targets with quality benchmarks • Created issue documentation for workflow improvement • Supported multilingual evaluation • Ensured consistent quality controls

2016 - 2020

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Education

Work History