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S

Shane M.

Generalist AI Trainer (Remote) — Allen AI

USA flagSeagoville, Usa

Key Skills

Software

Don't disclose
Data Annotation TechData Annotation Tech
Other

Top Subject Matter

Large language model (LLM) training
AI response evaluation
and safety/accuracy checks.

Top Data Types

TextText
DocumentDocument

Top Task Types

Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
Data CollectionData Collection
ClassificationClassification

Freelancer Overview

Generalist AI Trainer (Remote) — Allen AI. Core strengths include Don't disclose, Data Annotation Tech, and Other. Education includes Bachelor of Science, Texas University - Dallas (2021). AI-training focus includes data types such as Text and labeling workflows including Evaluation, Rating, and Prompt + Response Writing (SFT).

Labeling Experience

Generalist AI Trainer (Remote) — Allen AI

Don't discloseTextText

Served as a Generalist AI Trainer creating and refining LLM training content for multiple domains. Evaluated and ranked AI outputs for factual accuracy, coherence, tone, and safety to support model alignment. Performed adversarial testing and fact-checking to identify weaknesses such as bias and hallucinations and improve dataset integrity. • Designed clear, structured prompts and context-aware responses for topics in science, culture, and technology. • Provided detailed feedback based on evaluation criteria covering accuracy, coherence, tone, and safety. • Conducted red-team style adversarial checks for logical inconsistencies, bias, and hallucination risks. • Validated claims via rigorous fact-checking and source validation for training data reliability.

2024 - Present
Data Annotation Tech

AI Content Reviewer & Prompt Engineer (Remote) — Data Annotation. Tech

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

Worked as an AI Content Reviewer and Prompt Engineer supporting LLM performance through prompt development and response quality review. Reviewed AI-generated responses for clarity, engagement, and factual correctness while improving user-facing output quality. Identified edge cases and ambiguous scenarios to increase model robustness and ensure ethical, bias-aware content standards. • Developed and optimized prompts to test and enhance AI reasoning, creativity, and contextual understanding. • Reviewed outputs against clarity, engagement, and factual correctness requirements and iterated for improvement. • Logged and leveraged edge cases/ambiguous scenarios to reduce errors and strengthen robustness. • Ensured compliance with ethical AI standards including bias mitigation and responsible content generation.

2023 - 2024

Freelance AI Trainer & Research Contributor (Remote) — Upwork.com

OtherTextTextData CollectionData Collection

Freelanced as an AI Trainer and Research Contributor supporting early-stage AI training initiatives through dataset and response creation. Generated diverse conversational datasets and structured responses while researching across disciplines to produce accurate training materials. Tested AI behavior through scenario-based interactions to identify gaps in reasoning and factual reliability. • Generated conversational datasets and structured responses for training data development. • Conducted cross-domain research to create informative and accurate training materials. • Evaluated AI systems with scenario-based prompts to surface reasoning and factual reliability gaps. • Produced deliverables under minimal supervision and adapted to evolving tools, workflows, and guidelines.

2022 - 2023

Data Annotator & Quality Analyst — Welocalize

Don't discloseTextTextClassificationClassification

Performed Data Annotation and Quality Analysis to improve NLP model performance and dataset accuracy. Annotated and labeled datasets while reviewing AI-generated content for compliance with linguistic and safety guidelines. Applied evaluation frameworks and provided peer feedback to maintain consistency and strengthen overall annotation quality. • Annotated and labeled NLP datasets to support model accuracy improvements. • Reviewed content for compliance with linguistic and safety guidelines. • Used evaluation frameworks to ensure consistent annotation across tasks and reviewers. • Ensured data privacy compliance while handling sensitive information and enhanced accuracy through pattern detection.

2021 - 2021

Education

T

Texas University - Dallas

Bachelor of Science, Computer Science

Bachelor of Science
2021 - 2021

Work History

A

Allen AI

Generalist AI Trainer

Texas
2024 - Present
D

Data Annotation. Tech

AI Content Reviewer & Prompt Engineer

Texas
2023 - 2024