We are preparing to build a Data Center Construction Intelligence Platform. Before development begins, we need an initial, authoritative dataset covering previously built and currently active data center construction projects in the U.S.
This dataset will be the foundation of a platform that is designed to update monthly over time.
This role is research and data structuring only — no application development, no scraping tools, and no automation required.
Data Sources (Representative, Not Exhaustive)
Research should be based on reputable industry sources, such as:
BuilderConnected
Dodge Construction Network
CRANE Construction Intelligence
Public owner / developer disclosures
Industry reports and trade publications
Publicly available permitting and project announcements
⚠️ Important: You are not required to have paid access to all platforms. We are looking for structured summaries and metadata, not proprietary dumps.
Scope of Work 1️⃣ Data Center Project Inventory
Compile structured information on:
Previously built data centers
Currently active / under-construction data centers
Where available, capture:
Location (city, state)
Project status (completed / active)
Facility type (enterprise, hyperscale, colocation, edge, etc.)
Approximate scale (high-level)
General delivery model (design-build, CM, etc.)
2️⃣ Construction Systems & Assemblies (Project-Informed)
Using real-world project data, organize:
Structural systems
Electrical & power infrastructure
Mechanical / cooling strategies
Fire protection approaches
Low-voltage & networking considerations
Focus on patterns and common approaches, not engineering drawings.
3️⃣ Tier-Level & Redundancy Context (High Level)
Where identifiable, note:
Tier I–IV alignment (if stated or implied)
Redundancy concepts (N, N+1, 2N, etc.)
How redundancy impacts construction scope
This should remain descriptive, not technical design.
4️⃣ Cost & Schedule Drivers (Qualitative)
Based on project patterns, identify:
Primary cost drivers
Schedule risk factors
Regional labor/material sensitivity
Supply chain and lead-time influences
No exact pricing required.
5️⃣ Structured, App-Ready Data Format (Critical)
All information must be delivered in structured spreadsheet format, with clearly defined columns such as:
project_name
location
project_status
facility_type
system_category
assembly_or_component
tier_or_redundancy_level
primary_cost_drivers
schedule_risk_factors
data_source
notes
This dataset will later feed an application and AI system.
Deliverables
You must provide:
Google Sheets or Excel file(s)
Clean, consistent structure and naming
CSV export
Short summary document explaining:
Data sources used
Assumptions and limitations
Recommendations for monthly updates
No PDFs. No slide decks. No scraped raw dumps.
Ongoing Monthly Updates (Future Work)
After the initial dataset is delivered, we plan to:
Update the dataset monthly
Add newly announced or completed projects
Refine patterns as the dataset grows
Please indicate in your proposal:
Whether you are open to a monthly update engagement
Your estimated monthly fee range for ongoing updates
Ideal Candidate
Experience with construction, infrastructure, or industrial research
Familiarity with construction intelligence platforms or trade data
Strong data organization skills
Methodical, detail-oriented approach
Comfortable citing and tracking data sources
Screening Question (Required)
How would you gather and structure authoritative construction project data so it can be updated monthly and later used in an application or AI system?
Generic responses will not be considered.Selection Criteria
We will prioritize candidates who:
Demonstrate structured thinking
Understand construction project data
Respect data-source boundaries and licensing
Clearly explain how they will organize and maintain the dataset
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