Skip to content
CV Rocket
Get started
How it worksThe enginePricingBlogContactSign in

Open nowPosted 28 hours ago

Research Fellow, Workforce Intelligence

Workable (global search)108,016 open roles

Where
United States
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowResearch Fellow, Workforce IntelligenceWorkable (global search) · United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Workable (global search)'s own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 28 hours ago

Workable (global search) median: 7 days open

The posting

About the Workforce Intelligence Lab (WIL)

The 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 for 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.

Learn more: https://wilinstitute.org

We engage experienced practitioners for both full-time employment and project-based contract roles, as applicable to the award and staffing model. Engagements are remote-first with travel as required for partner and field sites. We build ready teams for live grant and sponsored-research pursuits.

This opportunity is contingent upon grant or sponsored-project award and final staffing approval. Permission will be requested before including a candidate's name or resume in a proposal or funding package.

About the role

WIL is seeking Research Fellows interested in applied workforce research, labor market analysis, workforce analytics, and operational workforce intelligence focused on the construction industry. This fellowship is for graduate students, PhD candidates, early-career researchers, analysts, and analytically oriented professionals interested in workforce systems, labor market visibility, compensation analysis, and operational workforce planning.

Research Fellows contribute to labor market analysis, workforce analytics, compensation benchmarking, workforce planning systems, labor scarcity indicators, workforce intelligence methodologies, operational workforce visibility, dashboard validation, and regional workforce intelligence reporting.

The current fellowship shape is flexible and remote, structured around approximately 3–5 hours per week. Full-time employment or a larger project-based contract may be scoped when an award calls for it.

What you'll do

Support workforce intelligence research initiatives Assist with labor market and compensation analysis Contribute to workforce intelligence reports and publications Participate in workforce intelligence framework development Research publicly available labor market and workforce data sources Support workforce analytics and operational labor visibility initiatives Assist with dashboard validation and workforce indicator analysis Contribute to methodology documentation and workforce intelligence interpretation

Requirements

Required

Interest and some demonstrated work in labor economics, workforce analytics, operations research, industrial engineering, applied economics, statistics, data analytics, public policy, construction management, business analytics, urban planning, supply chain and operations, or data science Graduate students, PhD candidates, early-career researchers, and analytically oriented professionals are encouraged to apply Open to full-time employment or project-based contract engagement; remote-first with travel as partner and field work requires

Nice to have

Comfort with publicly available labor-market and compensation data Interest in construction workforce intelligence rather than purely theoretical research Ability to contribute about 3–5 flexible remote hours per week on the fellowship track

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Workable (global search)'s own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.

  3. We apply on Workable (global search)'s form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.

  4. Every reply, sorted

    Workable (global search)'s answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.

  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

Get the CV for this job
By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.