Humanoid

General-purpose humanoid robots
Last updated:
January 27, 2026
Company details
HQ
HEADCOUNT
100-499
ORG TYPE
Startup
SECTOR
Technology & Digital
About the company
Humanoid is a UK-headquartered robotics engineering company founded in 2024, building commercially scalable humanoid robots. The company presents HMND 01 as the first robot line, with both wheeled and bipedal variants, and positions the product around industrial use cases first. Public posts and the company site also point to external pilots, including a logistics proof-of-concept with Siemens in a live factory environment. The company recruits across hardware, software, AI, and business operations roles.
Locations and presence
Humanoid lists London as headquarters, with hiring and office presence in Boston and Vancouver. Several roles are explicitly on-site and some mention travel between offices.
Palpable Score
66.3
/ 100
Humanoid scores best on learning signals inside specific job descriptions and on pay stability basics (salary plus equity language and core benefits). The score is held back by limited early-career volume across the wider hiring slate and thin public evidence of junior progression or retention beyond a small set of reviews.
Pillar 1: Early-career access

Score

12.5
/ 20
  • The company advertises at least one genuinely entry-level route via “AI Data Collector,” explicitly stating no technical background or formal education is required and that full training is provided.
  • Humanoid’s broader open roles skew senior or specialist (for example multiple “Senior” and “Staff” engineering roles), which narrows early-career access outside the data-collection pathway.
  • The company’s operations roles (office manager, some technician-style work) increase access a bit, but most still read as experienced-hire positions rather than 0–3 years by default.
Pillar 2: Hiring fairness and transparency

Score

13.0
/ 20
  • The company’s job pages tend to lay out “About the role,” responsibilities, requirements, and “What we offer,” which helps candidates self-select (the AI Data Collector post is especially concrete about shifts and physical requirements).
  • Humanoid’s careers site has quality-control issues that can erode trust, including at least one role link resolving to an unrelated job page and a broken or “trashed” vacancy link.
  • The company generally avoids salary ranges, so candidates still have to apply without a clear pay band even when benefits are described.
Pillar 3: Learning and support

Score

14.5
/ 20
  • The company explicitly commits to training for entry-level hires in the AI Data Collector role, including structured procedures, clear guidelines, and continuous feedback expectations.
  • Humanoid’s HR Business Partner description signals the company is building manager coaching, consistent 1:1s, feedback loops, and clearer career frameworks, which are the kinds of foundations juniors benefit from.
  • The company repeatedly frames cross-functional collaboration with engineers and researchers in technician and data roles, but most postings stop short of spelling out ramp plans, mentoring time, or progression milestones.
Pillar 4: Pay fairness and stability

Score

14.8
/ 20
  • The company states “competitive salary” plus participation in a Stock Option Plan across multiple roles, and the AI Data Collector post pairs that with paid vacation and health insurance coverage.
  • Humanoid’s benefits language goes beyond the bare minimum in places, including travel between offices and office perks like free breakfasts and lunches on some postings.
  • The company does not consistently publish salary ranges, which caps confidence for early-career candidates trying to judge fairness upfront.
Pillar 5: Early-career outcomes

Score

11.5
/ 20
  • The company has a small but usable set of employee reviews on Glassdoor, including category ratings for career opportunities, compensation and benefits, and work-life balance, which gives partial signal but not a robust trendline.
  • Humanoid highlights real-world deployments such as a two-week on-site logistics pilot with Siemens, which can translate into meaningful early-career portfolio outcomes if juniors are staffed onto these projects.
  • The company’s LinkedIn footprint suggests a mid-sized team (around the 51–200 band and ~190 employees shown publicly), but public sources do not give clear promotion paths, junior retention over 12–24 months, or repeated named early-career cohorts, which limits the outcome score.
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