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Gary L.

Gary L.

AI Trainer / Content Evaluator

USA flagmesa, Usa

Key Skills

Software

Scale AIScale AI
Data Annotation TechData Annotation Tech
AppenAppen

Top Subject Matter

Large Language Models
General Knowledge
Communication Domain Expertise

Top Data Types

TextText
AudioAudio

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
ClassificationClassification

Freelancer Overview

AI Trainer / Content Evaluator. Brings 5+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Scale AI, Data Annotation Tech, and Appen. Education includes Bachelor of Arts, Virginia State University. AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Scale AI

AI Trainer / Content Evaluator

Scale AIScale AITextText

As an AI Trainer and Content Evaluator at Scale AI, I evaluated and ranked LLM-generated responses for tone, clarity, fluency, factual accuracy, and audience appropriateness. I provided detailed preference feedback and justifications that contributed to fine-tuning AI models through RLHF pipelines. My role involved crafting diverse prompts and identifying nuanced language issues in AI outputs. • Achieved over 97% inter-annotator agreement scores. • Collaborated with QA leads to clarify guidelines and update editorial style guides. • Specialized in creative writing, conversational, persuasive, and general knowledge AI scenarios. • Worked independently in a fully remote and asynchronous environment.

2022 - Present
Data Annotation Tech

AI Content Trainer

Data Annotation TechData Annotation TechTextTextPrompt + Response Writing (SFT)Prompt + Response Writing (SFT)

At DataAnnotation Tech, I trained generative AI models by creating high-quality prompt-response pairs tailored for various communication tasks. I reviewed and scored AI-generated content for consistency, coherence, factual accuracy, and user intent alignment. Reports I produced directly informed quality improvements and model deployment decisions. • Flagged and documented biased, misleading, or poorly worded content. • Maintained a throughput of over 40 accuracy-reviewed tasks daily. • Applied strong editorial judgment and user-awareness to all assignments. • Supported multiple projects in creative, persuasive, and conversational domains.

2020 - 2021
Appen

Content & Data Annotation Specialist

AppenAppenTextTextClassificationClassification

As a Content & Data Annotation Specialist at Appen, I reviewed and labeled written, audio, and multimedia content to support AI model training in language understanding and moderation tasks. I assessed search result relevance, page quality, and appropriateness using comprehensive rubrics and guides. I evaluated subtle elements like nuance, intent, and cultural sensitivity in AI outputs. • Trained and mentored new annotators to improve onboarding efficiency. • Identified patterns and refined annotation protocols with project managers. • Managed daily annotation and quality review for diverse projects. • Used annotation tools to ensure consistency and accuracy.

2018 - 2020

Education

V

Virginia State University

Bachelor of Arts, Communication

Bachelor of Arts
Not specified

Work History

U

USA (cid:127)

Remote

Location not specified
2022 - Present