# Economist - Education Policy at AlphaHire

> Remote · United States · Unspecified · Other · open. Source: https://alderhq.app/jobs/workable%3Aalphax%3A2E938DF0E1 (read 2026-11-09).

## Facts (observed)

- Company: [AlphaHire](https://alderhq.app/companies/alphahire)
- Location text: United States
- Where it can be done from (inferred): Remote · United States (evidence: "Location: United States")
- Posted: 2026-10-23 (18 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-07
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://apply.workable.com/j/2E938DF0E1
- Skills listed (inferred): Python

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (United States, n 21890): p25 $55k, median $90k, p75 $154k

## Description (the employer's text)

WIL is seeking an Economist in education policy to lead causal research on K-12 education policy and student outcomes using large administrative datasets.

About the Workforce Intelligence Lab (WIL)

The Workforce Intelligence Lab (WIL) is an applied workforce research initiative. WIL builds methodology-transparent workforce intelligence, including labor demand signals, occupational and credential pathways, and training-to-employment outcome measures, and works with education, employer, research, and community partners to turn that evidence into grant and sponsored-project collaborations. Learn more: https://wilinstitute.org

Opportunity type: this is a contingent proposal opportunity in WIL's expert collaborator network, not a funded vacancy. It supports a competitive grant application WIL is preparing; no award has been made, and there is no guaranteed work or funding. If an award proceeds and the staffing model calls for it, WIL may offer a project-based contract or consulting engagement. We will ask before naming you or including your resume in any proposal.

What you'll do

- Design causal research (quasi-experimental or experimental) on K-12 education policy questions
- Acquire and analyze large administrative education datasets
- Lead estimation, robustness checks, and interpretation
- Write research design, methods, and dissemination sections of proposals
- Produce publication-quality papers and policy briefs
- Contribute qualifications and past-performance narrative to WIL proposals when you authorize naming
Apply to be considered.

### Requirements

Required

- Published or working-paper record using causal-inference methods in education or labor economics
- Experience with large administrative education or labor datasets
- Proficiency in Stata, R, or Python for applied econometrics
- Clear writing for research and policy audiences
- Comfortable as a project-based contract collaborator; remote US
Nice to have

- PhD preferred (economics, public policy, education, or related field)
- Prior foundation- or federally funded education research
- State education data-sharing agreement experience

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/workable%3Aalphax%3A2E938DF0E1 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.