David Ainger

Key Skills

Software

OneForma

Telus

Top Subject Matter

No subject matter listed

Top Data Types

Text

Geospatial Tiled Imagery

Top Label Types

RLHF

Geocoding

Freelancer Overview

AI Data Specialist & Quality Analyst with over 4 years of experience in the Human-in-the-Loop (HITL) machine learning ecosystem. Specializes in Reinforcement Learning from Human Feedback (RLHF) for Large Language Models (LLMs) and Geospatial Data Verification. Proven track record of maintaining 98%+ accuracy on complex, high-volume data projects for industry leaders (Outlier, Telus International). Expert in synthesizing "Ground Truth" data, evaluating model reasoning, and validating search relevance algorithms.

Labeling Experience

Image Labelling

TelusImageClassificationQuestion Answering

• Geospatial Verification: Analyzed satellite imagery and street-level data to verify the accuracy of Points of Interest (POIs), business locations, and entry points. • Search Relevance: Evaluated the relevance and accuracy of search engine results based on user intent and local query context. • Data Integrity: Corrected metadata errors regarding business hours, categorization, and routing logic to improve user experience for millions of global users. • High-Volume Processing: Processed complex data queues with strict deadlines, maintaining an accuracy rating of [Insert %] over a 3-year period. • Trend Identification: Identified recurring data patterns and anomalies, reporting systematic mapping errors to the core engineering teams.

• Geospatial Verification: Analyzed satellite imagery and street-level data to verify the accuracy of Points of Interest (POIs), business locations, and entry points. • Search Relevance: Evaluated the relevance and accuracy of search engine results based on user intent and local query context. • Data Integrity: Corrected metadata errors regarding business hours, categorization, and routing logic to improve user experience for millions of global users. • High-Volume Processing: Processed complex data queues with strict deadlines, maintaining an accuracy rating of [Insert %] over a 3-year period. • Trend Identification: Identified recurring data patterns and anomalies, reporting systematic mapping errors to the core engineering teams.

2023 - 2025

AI Model Trainer / Tier 1 Contributor (Project Aether)

RemotasksTextRLHF

As an AI Model Trainer for Project Aether at Outlier.ai, I evaluated Large Language Model (LLM) outputs for truthfulness, helpfulness, and safety. I authored high-quality "Ground Truth" responses to complex prompts and engineered multi-constraint prompt-response datasets for SFT. I developed adversarial (Red Teaming) prompts to probe AI safety systems. • Evaluated model outputs and identified hallucinations and logical fallacies • Created benchmark quality data for fine-tuning • Engineered prompts and responses meeting strict criteria • Crafted adversarial prompts targeting safety vulnerabilities

As an AI Model Trainer for Project Aether at Outlier.ai, I evaluated Large Language Model (LLM) outputs for truthfulness, helpfulness, and safety. I authored high-quality "Ground Truth" responses to complex prompts and engineered multi-constraint prompt-response datasets for SFT. I developed adversarial (Red Teaming) prompts to probe AI safety systems. • Evaluated model outputs and identified hallucinations and logical fallacies • Created benchmark quality data for fine-tuning • Engineered prompts and responses meeting strict criteria • Crafted adversarial prompts targeting safety vulnerabilities

2025

Data Mapping Analyst

TelusGeospatial Tiled ImageryGeocoding

As a Data Mapping Analyst at Telus International AI, I validated geospatial and mapping data for a global navigation platform. I analyzed satellite and street-level imagery to verify POIs, business details, and routing accuracy. I corrected metadata errors and evaluated search relevance based on user intent. • Verified and annotated geospatial features using imagery • Evaluated and rated search results for locality and accuracy • Identified and corrected metadata and routing errors • Detected trends and reported systematic mapping anomalies

As a Data Mapping Analyst at Telus International AI, I validated geospatial and mapping data for a global navigation platform. I analyzed satellite and street-level imagery to verify POIs, business details, and routing accuracy. I corrected metadata errors and evaluated search relevance based on user intent. • Verified and annotated geospatial features using imagery • Evaluated and rated search results for locality and accuracy • Identified and corrected metadata and routing errors • Detected trends and reported systematic mapping anomalies

2023

Education

Work History