Company details

London, UK

HEADCOUNT

100-499

ORG TYPE

Startup

SECTOR

Technology & Digital

WEBSITE

https://thehumanoid.ai

About the company

Humanoid is a robotics company building general-purpose humanoid robots for real-world work, starting with industrial use cases like warehousing, manufacturing, logistics, and retail. The company markets its first platform as HMND 01, with both wheeled and bipedal variants, and describes a longer-term plan to expand into service and household settings. Humanoid operates as a private company founded in 2024 and has publicly talked about scaling robot development across hardware, software, and AI.

Locations and presence

Humanoid has a hub in London, with additional bases in Vancouver and Boston. Several roles are explicitly on-site (including shift-based lab roles), and reporting also points to a strong in-office expectation for the London team.

Palpable Score

57.1

/ 100

Humanoid is accessible for some early-career candidates through hands-on roles that require no formal technical education, but most advertised openings skew senior and specialist. The biggest drag on the score is outcomes and stability: public employee feedback is mixed, including concerns about leadership, long hours, and turnover, even while some reviews praise learning opportunities and compensation.

Pillar 1: Early-career access

Score

12.2

/ 20

The company advertises an AI Data Collector role that states no technical background or formal education is required and that full training is provided.

Humanoid lists a wide set of openings across AI, software, hardware, operations, and commercial functions, which signals ongoing hiring rather than occasional one-off posts.

The company’s live roles are dominated by senior titles (for example staff, senior, principal, head, and chief roles), with no clearly-labelled graduate or internship program visible on the careers site.

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Pillar 2: Hiring fairness and transparency

Score

12.2

/ 20

The company has publicly visible interview reports describing an HR screen followed by technical interviews with engineers, including candidates receiving feedback after rejection.

Humanoid has a recorded negative interview experience where the process stretched over weeks with recruiter follow-ups and unclear alignment on requirements after outreach.

The company’s recruiting role descriptions explicitly include maintaining clear communication and offering feedback, but the public evidence suggests delivery is inconsistent across locations and recruiters.

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Pillar 3: Learning and support

Score

12.7

/ 20

The company describes full training for the AI Data Collector role, with well-defined procedures and on-site tools that new starters are taught to use.

Humanoid repeatedly frames roles as hands-on and cross-functional, with job pages emphasising collaboration with specialist engineers and researchers, which can accelerate learning for early-career hires.

The company has employee reviews describing a fast-moving environment with evolving processes and high workload, which can reduce the quality of day-to-day support if a manager is stretched.

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Pillar 4: Pay fairness and stability

Score

10.8

/ 20

The company’s job posts commonly promise “competitive salary” and include equity via a stock option plan, plus healthcare and paid vacation in several listings.

Humanoid has very limited public pay transparency: most listings do not show salary ranges, and public salary databases have little usable role-level data for the company.

The company has employee feedback that pay can be strong in some teams, but also reports of 60+ hour weeks in multiple teams, which affects the real “pay fairness” picture for early-career hires.

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Pillar 5: Early-career outcomes

Score

9.2

/ 20

The company has employee reviews that warn about turnover and repeated long working weeks tied to planning and leadership, which is a negative early-career outcome signal.

Humanoid also has employee reviews describing rewarding work, smart teammates, and opportunities to learn in a high-pace robotics environment, which suggests outcomes vary significantly by team and location.

The company does not publish intern conversion rates, early-career promotion pathways, or retention metrics, and there are too few public early-career datapoints to score progression with confidence.

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