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Project title:
Posted by:
External project from PeoplePerHour
Started:
02-Feb-2026 14:40 GMT
Description:
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
Project ID:
3468311
Project category:
Project budget:
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