David A.

Key Skills

Software

Label Studio

Top Subject Matter

Conversational AI quality evaluation

content moderation

and dataset quality

Top Data Types

Text

Image

Audio

Video

Document

Top Task Types

Classification

Freelancer Overview

Freelance AI Training & Content Evaluation (Remote). Professional background includes roles such as Conversational AI Quality Analyst. Core strengths include N and A. AI-training focus includes data types such as Text, Image, and Audio and labeling workflows including Evaluation, Rating, and Classification.

Labeling Experience

Freelance AI Training & Content Evaluation (Remote) — Multimodal Annotation

VideoClassification

Contributed to AI model training by labeling and annotating video datasets. Followed established guidelines to create reliable, consistent training inputs for model improvement. Ensured labeled content met quality expectations for downstream evaluation and learning. • Labeled video data as part of multimodal dataset creation • Applied standardized labeling rules to reduce inconsistency • Maintained high-quality outputs to improve dataset reliability • Supported model refinement through usable labeled examples

2025 - Present

Freelance AI Training & Content Evaluation (Remote) — Multimodal Annotation

AudioClassification

Performed dataset annotation for audio content to enable training and refinement of AI systems. Labeled audio data using consistent criteria designed to support accurate model learning. Helped improve dataset quality by flagging issues and ensuring guideline-aligned labeling. • Annotated audio segments as part of multimodal training data • Ensured consistent application of labeling rules • Contributed to reliability by maintaining high attention to detail • Supported safer, higher-quality model behavior through better data

2025 - Present

Freelance AI Training & Content Evaluation (Remote) — Multimodal Annotation

ImageClassification

Annotated and labeled multimodal datasets to support AI model training and refinement across multiple content types. Applied consistent labeling standards to maintain dataset reliability and improve downstream model performance. Ensured annotations aligned with evaluation guidelines to produce higher-quality training signals. • Labeled image data as part of dataset creation and quality improvement • Maintained annotation accuracy and consistency across examples • Used guidelines to ensure high-quality and usable training data • Supported model improvement through reliable labeled outputs

2025 - Present

Freelance AI Training & Content Evaluation (Remote)

Text

Freelance AI trainer and content evaluator for conversational AI and search experiences, focusing on assessing AI outputs for quality and policy compliance. Reviewed chatbot responses and search results for relevance, correctness, and safety using strict guidelines and consistent evaluation criteria. Produced structured, actionable feedback to support iterative model and dataset improvements. • Evaluated responses for usefulness, accuracy, and adherence to instructions • Identified biases, inconsistencies, and low-quality or harmful content • Assessed safety and internet-safety risks during quality review • Reported findings with detailed guidance to improve model behavior

2025 - Present

Education

Work History