Scotts David C.

Key Skills

Software

V7 Labs

OneForma

Remotasks

SuperAnnotate

Telus

iMerit

CrowdSource

Clickworker

Appen

Top Subject Matter

Video quality assessment (technical evaluation)

Multimodal referring expression collection / image masking annotation

Video frame object detection/localization and skeletal key point labeling

Top Data Types

Video

Image

Audio

Top Task Types

Segmentation

Bounding Box

Fine-tuning

Entity (NER) Classification

Text Generation

Object Detection

Text Summarization

Transcription

Evaluation/Rating

Data Collection

Prompt + Response Writing (SFT)

Question Answering

Freelancer Overview

I have experience working on various AI training data and data labeling projects focused on improving the accuracy and performance of machine learning and large language models. My work includes image annotation, video annotation, prompt-to-image analysis, audio quality evaluation, music annotation, content review, AI benchmarking, search engine evaluation, and transcription. I have worked with bounding boxes, skeletal key points, image masking, referring expression collection, and multimodal data evaluation while following strict quality and policy guidelines. What sets me apart is my strong attention to detail, consistency, and ability to handle complex annotation tasks that require analytical thinking and precise judgment. I also have experience evaluating video quality, reviewing AI-generated responses, and validating prompt alignment for generative AI systems. My background in technical support, quality control, and AI evaluation has strengthened my problem-solving skills, adaptability, and ability to maintain high-quality outputs under deadline-driven environments.

Labeling Experience

Search Engine Evaluator — relevance and usefulness assessment

Don't discloseText

The role evaluated the quality and relevance of search results returned by a search engine. For given queries, the usefulness of the top results was assessed to ensure users received accurate and valuable information. The work emphasized relevance judgments and consistent evaluation against task requirements. • Assessed search result quality for specific queries. • Evaluated the relevance and usefulness of top results. • Ensured accurate and valuable information for users. • Followed consistent evaluation procedures per task guidelines.

2024 - Present

Artificial Intelligence (AI) Benchmarking Analyst — response evaluation and rewriting

OtherTextText Generation

The work involved benchmarking AI-generated responses by analyzing them systematically for quality. Responses were assessed and rewritten where necessary to improve the overall quality and highlight areas requiring enhancement. The goal was to identify improvement opportunities and guide better future response generation. • Analyzed AI-generated responses against quality criteria. • Rewrote or improved responses when needed. • Identified specific areas for enhancement. • Supported benchmarking-driven quality improvements.

2024 - Present

Content Review Analyst — guideline compliance and quality assessment

OtherTextEntity (NER) Classification

The role involved reviewing and assessing content across multiple modalities to ensure it complied with established guidelines. Content was checked for accuracy, relevance, and appropriateness for the target audience. When issues were found, such as factual errors, plagiarism, or inappropriate language, feedback was provided to support improvement before publication. • Reviewed text, images, and videos against guidelines. • Assessed accuracy, relevance, and audience appropriateness. • Identified potential policy or quality issues (e.g., factual errors/plagiarism). • Provided improvement feedback prior to publication.

2024 - Present

LLM Specialist — data validation/annotation for model improvement

Don't discloseFine-tuning

The role supported large language model development by contributing to data validation and annotation pipelines. Labeled data and quality checks were used to ensure high-quality model outputs. Collaboration with project teams included providing expert feedback on datasets and model outputs to improve model performance. • Conducted data validation and annotation for LLM readiness. • Provided expert feedback on datasets and outputs. • Supported collection and analysis of labeled data. • Assisted in improving accuracy and relevance of LLM responses.

2024 - Present

Data Filtering Specialist (Prompt to Image Analysis) — Parimango platform

OtherImage

The work involved data filtering for prompt-to-image analysis using source and reference images for context. Output images were evaluated for alignment with prompt intent, with additional checks on clarity, composition, color consistency, resolution, and artifacts. Policy compliance and appropriateness were verified, and results were labeled pass/fail based on defined criteria. • Reviewed source and reference images for task context. • Assessed prompt-to-image alignment against prompt intent. • Evaluated visual and technical quality and artifacts. • Verified policy compliance and recorded pass/fail decisions.

2024 - Present

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Education

Work History