About AlphaHire Workforce Intelligence Lab (WIL)

The AlphaHire Workforce Intelligence Lab (WIL) is an applied workforce research initiative focused on construction labor markets, workforce planning systems, compensation intelligence, labor scarcity analysis, and operational workforce visibility.

WIL develops workforce intelligence frameworks and regional labor market analysis designed to support operational decision-making across the construction industry.

The lab synthesizes publicly available labor data, compensation trends, contractor growth indicators, workforce demand signals, and construction activity into workforce intelligence systems for construction firms and industry operators.

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AlphaHire Workforce Intelligence Lab (WIL)

About the role

We are seeking Predictive Analytics Fellows interested in workforce forecasting support systems, labor market analytics, operational workforce modeling, and workforce intelligence initiatives focused on the construction industry.

This fellowship is designed for graduate students, PhD candidates, analysts, data scientists, operations researchers, and analytically oriented professionals interested in workforce systems, labor market visibility, workforce planning, compensation analysis, and operational forecasting support.

Predictive Analytics Fellows will contribute to workforce intelligence initiatives focused on:

workforce trend modeling
labor market analytics
compensation trend analysis
workforce forecasting support
labor scarcity indicators
workforce intelligence methodologies
operational workforce visibility
workforce planning systems
workforce signal interpretation
dashboard validation
regional workforce intelligence reporting

This is a flexible, remote, project-based fellowship structured around approximately 3–5 hours per week.

Requirements

Support workforce intelligence and workforce forecasting initiatives
Assist with workforce analytics and labor market trend analysis
Contribute to workforce intelligence reports and publications
Participate in workforce intelligence framework and forecasting support development
Research publicly available labor market and workforce datasets
Support operational workforce visibility and workforce planning initiatives
Assist with dashboard validation and workforce signal analysis
Contribute to workforce intelligence methodology documentation
Support workforce forecasting support systems focused on operational construction decision-making

Preferred backgrounds

We are particularly interested in candidates with backgrounds in:

predictive analytics
workforce analytics
operations research
econometrics
statistics
industrial engineering
labor economics
forecasting systems
data science
business analytics
operational analytics
quantitative modeling
applied economics
mathematics
data analytics

Graduate students, PhD candidates, early-career researchers, analysts, and analytically oriented professionals are encouraged to apply.

Benefits

Fellowship structure

Flexible remote participation
Approximately 3–5 hours per week
Project-based collaboration
Ongoing contribution opportunities based on interest and availability

Additional information

This is an applied workforce analytics fellowship focused on operational workforce visibility and workforce planning support for the construction industry.

The fellowship is intended for individuals interested in:

workforce forecasting support systems
workforce analytics
labor market analysis
operational workforce systems
workforce intelligence methodologies
compensation intelligence
labor scarcity interpretation
workforce planning frameworks
construction workforce intelligence

rather than speculative forecasting or purely theoretical modeling.

The fellowship emphasizes:

explainable methodologies
operational usefulness
workforce visibility
practical workforce planning support
labor market interpretation

NOT:

black-box prediction systems
exaggerated AI claims
speculative forecasting
unsupported predictive precision

Benefits

What fellows receive

Predictive Analytics Fellows will have opportunities to:

contribute to workforce intelligence reports and publications
participate in applied workforce analytics initiatives
gain exposure to workforce planning systems and labor market analysis
contribute to workforce intelligence methodologies and forecasting support systems
build portfolio-quality workforce intelligence and analytics projects
collaborate on workforce intelligence dashboards and workforce visibility systems
participate in workforce intelligence discussions with researchers, analysts, and industry operators

As WIL expands, fello...

Predictive Analytics Fellow, Workforce Intelligence