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Nelson Crance

AI Data Annotation Specialist

USA flag
Remote, Usa
Expert

Key Skills

Software

No software listed

Top Subject Matter

AI training
machine learning
quality assurance

Top Data Types

TextText
ImageImage
DocumentDocument

Top Task Types

Classification
Data Collection

Freelancer Overview

AI Data Annotation Specialist. Brings 7+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal and Proprietary Tooling. Education includes Bachelor of Science, University of Texas at Austin. AI-training focus includes data types such as Text and Image and labeling workflows including Classification, Data Collection, and Evaluation.

Expert

Labeling Experience

AI Dataset Annotation Project

ImageClassification
I performed structured image annotation on datasets for AI model development. Adhering to strict labeling protocols, I ensured consistency and accuracy across all batches. My work directly supported computer vision tasks in AI research. • Labeled images using structured classification systems. • Ensured visual data met training standards. • Applied taxonomies and batch-wide annotations. • Collaborated on data QA for image annotation projects.

I performed structured image annotation on datasets for AI model development. Adhering to strict labeling protocols, I ensured consistency and accuracy across all batches. My work directly supported computer vision tasks in AI research. • Labeled images using structured classification systems. • Ensured visual data met training standards. • Applied taxonomies and batch-wide annotations. • Collaborated on data QA for image annotation projects.

2022 - Present

Prompt Evaluation & Response Review

Text
I evaluated and rated AI-generated responses for training data quality and relevance. My responsibilities included identifying edge cases, reviewing prompt-response pairs, and structuring feedback. This work contributed to refining model behavior and response accuracy. • Reviewed and rated AI responses for quality assessment. • Identified inconsistencies and flagged edge cases. • Documented evaluation findings for model trainers. • Conducted ongoing quality analysis and improvement.

I evaluated and rated AI-generated responses for training data quality and relevance. My responsibilities included identifying edge cases, reviewing prompt-response pairs, and structuring feedback. This work contributed to refining model behavior and response accuracy. • Reviewed and rated AI responses for quality assessment. • Identified inconsistencies and flagged edge cases. • Documented evaluation findings for model trainers. • Conducted ongoing quality analysis and improvement.

2022 - Present

AI Data Annotation Specialist

ImageClassification
In my role as Data Annotation Specialist, I also annotated and labeled image data sets for various AI training purposes. I meticulously categorized visuals, followed strict guidelines, and cross-checked outputs for consistency. Quality standards were maintained through structured annotation practices. • Labeled and classified image data for AI applications. • Ensured batch-wide consistency using structured annotation guidelines. • Applied category tags and taxonomies during the labeling process. • Conducted visual data QA and feedback loops with the team.

In my role as Data Annotation Specialist, I also annotated and labeled image data sets for various AI training purposes. I meticulously categorized visuals, followed strict guidelines, and cross-checked outputs for consistency. Quality standards were maintained through structured annotation practices. • Labeled and classified image data for AI applications. • Ensured batch-wide consistency using structured annotation guidelines. • Applied category tags and taxonomies during the labeling process. • Conducted visual data QA and feedback loops with the team.

2022 - Present

AI Data Annotation Specialist

TextClassification
As a Data Annotation Specialist, I labeled and categorized large-scale datasets for AI model training. My work focused on ensuring accurate text annotation, taxonomy application, and quality evaluation of AI-generated outputs. I regularly identified inconsistencies and produced reliable training data for machine learning systems. • Performed detailed text data annotation for diverse use cases. • Evaluated and rated AI outputs against consistency and accuracy guidelines. • Applied classification labels using internal/proprietary tooling and structured processes. • Provided feedback for iterative model improvement and quality assurance.

As a Data Annotation Specialist, I labeled and categorized large-scale datasets for AI model training. My work focused on ensuring accurate text annotation, taxonomy application, and quality evaluation of AI-generated outputs. I regularly identified inconsistencies and produced reliable training data for machine learning systems. • Performed detailed text data annotation for diverse use cases. • Evaluated and rated AI outputs against consistency and accuracy guidelines. • Applied classification labels using internal/proprietary tooling and structured processes. • Provided feedback for iterative model improvement and quality assurance.

2022 - Present

Data Analyst / ML Support

TextData Collection
As a Data Analyst supporting machine learning teams, I prepared and structured text datasets for model training. This included validating data quality, maintaining compliance with annotation standards, and documentation of workflow procedures. I supported output analysis to improve annotation reliability. • Structured and formatted text data for ML purposes. • Conducted quality control on annotated datasets. • Maintained detailed documentation and guidelines. • Facilitated annotation workflow process improvements.

As a Data Analyst supporting machine learning teams, I prepared and structured text datasets for model training. This included validating data quality, maintaining compliance with annotation standards, and documentation of workflow procedures. I supported output analysis to improve annotation reliability. • Structured and formatted text data for ML purposes. • Conducted quality control on annotated datasets. • Maintained detailed documentation and guidelines. • Facilitated annotation workflow process improvements.

2020 - 2022

Education

U

University of Texas at Austin

Bachelor of Science, Computer Science

Bachelor of Science
Not specified

Work History

F

Freelance

Web UI Designer & No-Code Developer

Remote
2022 - Present
T

Techvision Ai Labs

Frontend & Design Specialist

Remote
2020 - 2022