- Edmonton, Alberta, Canada
- Contract · Entry
A twelve-month paid residency focused on building a real estate-focused artificial intelligence LLM to modernize appraisal professional data collection, management, and analysis.
Compensation
Get paid for your work (a fair and equitable rate of pay will be negotiated at the time of offer)
Responsibilities
- Design, build, and evaluate a secure LLM-based system that streamlines appraisal workflows and supports highest and best use (HBU) analysis for real estate appraisers.
- Develop ingestion and retrieval pipelines that parse mixed text and tabular content from municipal planning documents and zoning bylaws.
- Build citation-grounded generation and confidence estimation components so that every output can be traced to its source documents and used to defend completed appraisal reports.
- Build evaluation infrastructure, including expert-annotated benchmarks, citation accuracy and faithfulness scoring, confidence calibration analysis, adversarial and prompt-injection test suites, and CI-gated regression testing.
- Implement secure system infrastructure with role-based access control that restricts access exclusively to vetted appraisers, along with auditable logging of system usage.
Requirements
- MSc. or PhD in Computer Science or related graduate degree program with specialization in Natural Language Processing, Machine Learning, Large Language Models, or Applied AI
- Nice to have: Evaluation frameworks for LLM or retrieval-augmented systems