Brian E.

Key Skills

Software

Other

Appen

Top Subject Matter

AI/ML dataset quality assurance and evaluation

Generative AI content evaluation and annotation

AI dataset annotation and content evaluation

Top Data Types

Text

Image

Document

Top Task Types

Classification

Object Detection

Prompt + Response Writing (SFT)

Point/Key Point

Text Summarization

Data Collection

Freelancer Overview

Freelance Data Research Analyst (Remote) — Data evaluation & validation. Brings 8+ years of professional experience across legal operations, contract review, compliance, and structured analysis. Core strengths include Other and Appen. Education includes Associate Degree, Heritage Polytechnic and Data Analytics Professional Certificate, IBM. AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

AI Data Annotator – Atlas (Remote Contract)

OtherText

Evaluated AI-generated content (text and image) using detailed rubrics, quality standards, and structured rating criteria. Provided structured ratings and feedback intended to improve output alignment, relevance, and overall training signal quality. Supported human-in-the-loop workflows for AI model training and refinement while adapting quickly to evolving guidelines.• Assessed AI outputs against rubric-driven evaluation criteria.• Produced structured ratings and actionable feedback for refinement.• Collaborated within human-in-the-loop processes for model improvement.• Maintained high accuracy and attention to detail on complex or ambiguous cases.

2025 - Present

Freelance Data Research Analyst (Remote) — Data evaluation & validation

OtherText

Performed dataset evaluation and validation to ensure accuracy, completeness, and alignment with project requirements for AI/ML use cases. Applied structured evaluation methods to improve dataset quality and usability for downstream model training and analysis. Delivered consistent, high-quality outputs within tight deadlines across multiple remote projects.• Evaluated and validated dataset records against specified project requirements.• Performed data cleaning and preprocessing to enhance data quality.• Tracked consistency and accuracy across repeated evaluation tasks.• Identified and resolved data inconsistencies to improve reliability.

2023 - Present

AI Data Annotator – Appen (Remote Contract)

AppenText

Performed annotation and evaluation tasks on AI datasets using defined guidelines and consistency requirements. Ensured accurate and consistent content assessment to support reliable labeling for AI model improvement. Contributed to model refinement through dependable data tagging and review activities.• Completed guideline-based annotation and content evaluation tasks.• Ensured labeling accuracy and consistency across dataset items.• Reviewed and refined tags to improve training data quality.• Maintained low error rates through careful adherence to instructions.

2025 - 2025

Education

Work History