Sam H.

Key Skills

Software

Appen

Telus

Other

Top Subject Matter

Short-form social media video evaluation and content quality moderation

Content moderation and emotion/user-safety labeling for AI models

Multimedia sentiment and conversational AI dataset evaluation

Top Data Types

Video

Text

Image

Top Task Types

Classification

Data Collection

Freelancer Overview

AI Trainer & Social Media Video Evaluator (Independent Contractor) — CrowdGen by Appen Remote. Core strengths include Appen, Telus, and Other. Education includes Bachelor of Science, University of Florida (2018) and Master of Science, Columbia University (2022). AI-training focus includes data types such as Video and Text and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Freelance Multimedia Content Analyst & AI Rater — Upwork / Amazon Mechanical Turk / Fiverr Remote

OtherVideo

Completed freelance AI and data evaluation projects involving review of images, videos, and text for sentiment, humor, engagement, and cultural relevance. Supported training of conversational/chatbot systems by working with labeled datasets. Maintained 95–98% accuracy across multiple independent projects while delivering consistent results to startups and research teams.• Evaluated multimedia content for sentiment, humor, engagement, and cultural relevance.• Contributed to labeled datasets used to train early chatbots and conversational AI systems.• Sustained high accuracy (95–98%) across independent client projects.• Managed multiple concurrent assignments and maintained reliable delivery quality.

2024 - Present

Digital Media Research Assistant — Columbia University Department of Media Informatics Remote

OtherVideoData Collection

Supported research on social media behavior and human-computer interaction by collecting and organizing large social media datasets for AI experiments. Contributed to work predicting user behavior in short-form video platforms. Collaborated with technical teams on usability testing and early-stage machine learning prototypes.• Collected and cleaned large social media datasets for AI experimentation.• Organized datasets to support downstream model training and evaluation.• Contributed research activities related to predicting short-form video user behavior.• Assisted technical teams during usability testing and early-stage ML prototype work.

2023 - 2024

Data Annotation Specialist & Content Quality Analyst — TELUS International AI Data Solutions Remote

TelusTextClassification

Worked on large-scale machine learning datasets across text, speech, image, and video, focusing on user safety, content moderation, and emotion detection. Reviewed and corrected 10,000+ data entries to ensure accurate labeling and improved contextual understanding. Trained and guided junior annotators to maintain consistent, guideline-compliant labeling quality.• Reviewed and corrected 10,000+ dataset entries for accurate context and labels.• Supported labeling for user safety, content moderation, and emotion detection tasks.• Added structured feedback and behavioral insights to improve model evaluation.• Created a visual labeling checklist that improved dataset accuracy by 23%.

2022 - 2023

AI Trainer & Social Media Video Evaluator (Independent Contractor) — CrowdGen by Appen Remote

AppenVideo

Reviewed and labeled short-form social media videos weekly to assess relevance, engagement, and user sentiment. Analyzed trending audio, captions, and engagement patterns to support improvements in recommendation systems. Provided human feedback on AI predictions to improve cultural understanding and reduce bias in social media outputs.• Reviewed and labeled 350+ TikTok/Instagram Reels/Facebook Reels per week.• Evaluated AI prediction quality and supplied corrective feedback.• Supported guideline updates with alignment to project managers and engineers.• Contributed to recommendation accuracy gains (17% precision improvement reported in 2023).

2021 - 2022

Education

Work History