# Talent Recruiting at Build AI

> Onsite · United States · Unspecified · Other · open. Source: https://alderhq.app/jobs/ashby%3Abuild-ai%3A2daa7d0d-b9ee-474d-96f7-8b1c998abc9e (read 2026-11-06).

## Facts (observed)

- Company: [Build AI](https://alderhq.app/companies/build-ai)
- Location text: San Francisco
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco")
- Posted: 2026-08-30 (68 days ago)
- First seen by alder: 2026-11-03 · last verified: 2026-11-04
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/build-ai/2daa7d0d-b9ee-474d-96f7-8b1c998abc9e

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (SF Bay Area, n 2393): p25 $100k, median $156k, p75 $210k

## Description (the employer's text)

### About Build AI

Build AI is the data hyperscaler for Physical AI. We're vertically integrated across hardware, manufacturing, logistics, collection, and model training to scale the physical labor dataset orders of magnitude faster than anyone in the world.

### Job Summary

We’re seeking a Technical Recruiter to own full-cycle hiring as we scale the data hyperscaler for Physical AI. This is an IC seat, not Head of Talent / VP. You will source, screen, and close engineers, researchers, operators, and Shenzhen hardware people, and you will leave fingerprints on how we hire: pipelines, structured loops, and candidate experience.

### Key Responsibilities

Own requisitions end-to-end: source, screen, run structured interview loops, lead debriefs, and close with hiring managers and leadership

Source in places most recruiters skip: GitHub, arXiv and workshop papers, factory and hardware networks in Shenzhen, conference speaker lists — not only LinkedIn

Partner with hiring managers to write JDs, define the bar, and keep interview signal high across software, research, data, ops, and collection hardware

Keep Ashby clean: pipeline hygiene, scorecards, time-to-offer, and a candidate experience that matches the company

Track funnel metrics and fix the process when a loop is slow or a bar is fuzzy

Represent Build: why someone should bet a career on in-the-wild physical labor data, not another lab license

### You may be a good fit if you have (Must-have qualifications)

2+ years recruiting technical talent in a competitive market (startup or technology company)

Track record sourcing and placing software, research, data, or hardware-adjacent people

You can evaluate technical depth and fit without faking the conversation

You operate independently in ambiguity and will build systems, not wait for a playbook

Familiarity with an ATS (Ashby or similar) and sourcing platforms

### Strong candidates may also have experience with (Nice-to-have qualifications)

You’ve hired in AI, robotics, hardware, or another niche where the best people are not on job boards

Experience recruiting across the US and China, or comfort working with Shenzhen hiring managers

A track record of closing candidates who had competing offers from labs or larger companies

### Benefits

Competitive pay

Medical, dental, and vision packages with generous premium coverage

$500 per month credit for waiving medical benefits

Housing subsidy of $2k per month for those living within walking distance of the office

Relocation support for those moving to San Francisco (Financial District) or Shenzhen (Nanshan)

Various wellness benefits covering fitness, mental health, and more

Daily lunch and dinner in our office

Unlimited compute budget subject to ROI justification

Unlimited Codex and Claude credits

Travel

### How we're different

Build believes in the Bitter Lesson. By taking a general approach of learning from humans, our addressable market is all physical labor.

We are a fully in-person team in San Francisco (Financial District) and Shenzhen (Nanshan), and greatly value engineering skills. We do not have boundaries between engineering and research, and we expect all of our technical staff to contribute to both and work across disciplines as needed.

Build AI is an equal opportunity employer. We review every application. If you do not meet every bullet, still apply. Questions: research@build.ai

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Abuild-ai%3A2daa7d0d-b9ee-474d-96f7-8b1c998abc9e and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.