--- title: 'Research Study Coordinator (Operations, Part-time) at Human Archive' canonical: 'https://feeny.ai/job/research-study-coordinator-operations-part-time-human-archive-san-francisco-3tdkdjfjtrgh' type: 'job' last_seen: '2026-11-04' --- # Research Study Coordinator (Operations, Part-time) at Human Archive - **Company:** Human Archive - **Location:** San Francisco, CA - **Employment:** full-time - **Posted:** 2026-11-03 - **Last confirmed live:** 2026-11-04 - **Apply:** https://jobs.ashbyhq.com/humanarchive/1190d790-c910-4dd9-8a07-ed39cbb22d18 ## Job description San Francisco (onsite) · 20 hrs/week · $25-50/hour We’re running a research study in our SF office and need someone to manage the day to day operations behind it. It is one of the best opportunities to get hands-on experience at frontier of physical AI/robotics. You will work directly with our research ends and cofounders and own a core part of this project. what you will do: - Source and schedule 1000s of unique data collectors - Keep track of diversity distribution and manage data quality - Write and enforce the SOPs that keep sessions consistent - Set up capture environments and track which scenes are done Who you are: - In school or graduated, either works (pref. Sophomore - recent grad) - Preferably someone good with people, extremely creative (non-technical is fine) - Available for 1–6 months. We’re flexible on the exact length. ## About Human Archive ## Core Business - **Primary industry**: Data infrastructure for robotics and embodied artificial intelligence - **Target customers**: Frontier AI labs, robotics companies, and academic researchers (B2B) - **Mission**: To build the “Common Crawl for human sensorimotor intelligence” – a massive, aligned multimodal dataset that captures how humans interact with the physical world, enabling robots to automate manual labor and advancing understanding of human cognition. ## Products & Services - **HA-Multi Dataset**: Fully aligned multimodal dataset including RGB-D (stereo depth via IR dot projection), tactile gloves, body IMUs, wrist cameras, and audio. Provides structured outputs such as 3D MANO hand reconstructions, 2D tactile force maps, depth maps per timestamp, and human pose reconstructions. - **HA-Ego Dataset**: Monocular RGB vision dataset with wrist cameras, annotated with environment/scene descriptions, task labels, hand tracking, object segmentation, SLAM, and 3D pose reconstruction. - **Custom Hardware Rigs**: Proprietary headset-mounted cameras, tactile gloves, full-body motion capture suits, and wrist cameras designed for synchronized data capture across multiple modalities. - **Data Collection & Annotation Services**: End-to-end pipeline including QA, anonymization (face blurring), and annotation, delivered as structured datasets to customers. - **Model Fine‑Tuning & Evaluation**: Internal capability to fine‑tune AI models on collected data and test them on robots to validate dataset quality. ## Market Standing - **Valuation / Market Cap**: Not disclosed (seed‑stage private company) - **Key Metric**: Total funding raised – $8.2 million (seed round, announced May 2026) - **Notable Investors/Partners**: Wing Venture Capital, NVP Capital, Y Combinator, and angels from OpenAI, Nvidia, Google, Mercor, AfterQuery, BAIR, SAIL, Brad Boa, and Meta. [techcrunch.com](https://techcrunch.com/2026/05/26/human-archive-taps-into-indias-services-startups-to-collect-data-for-physical-ai/) - **Growth Signals**: - 1,000+ active headsets deployed across multiple locations (homes, hotels, restaurants, etc.) - Capacity to collect up to 8,000 hours of data per day - Signed national‑level partnerships to scale contributor network to 50,000+ people - Expanding operations from India into Southeast Asia and the United States - Already shipped datasets to frontier research teams ## Competitive Advantages - **First‑mover in synchronized multimodal data at scale**: No other company has been able to simultaneously capture headset RGB‑D, force feedback, full‑body motion capture, and wrist camera data in a time‑aligned manner across thousands of real‑world environments. - **Custom hardware**: Over seven proprietary hardware products (rigs, caps, tactile gloves, suits) designed specifically for high‑quality, scalable data collection. - **On‑the‑ground operations in India**: Low‑cost, high‑volume data collection through partnerships with gig‑economy service providers, allowing rapid scaling. - **Strong founding team**: Researchers from Stanford and Berkeley with deep backgrounds in robotics, hardware, and operations. ## Strategic Focus - **Scaling data collection**: Expanding the contributor network to 50,000+ people and entering new geographies (Southeast Asia, U.S.). - **Building the “Common Crawl for human sensorimotor intelligence”**: Creating the largest annotated multimodal dataset of human physical interaction. - **Vertical integration**: Developing fine‑tuning and model evaluation services to demonstrate dataset quality and capture more value. - **Partnerships with service companies**: Offering discounted cleaning, cooking, or other services in exchange for data collection consent (early pilot stage). ## Why Work Here - **Mission‑driven**: Opportunity to work on foundational infrastructure for automating manual labor and advancing embodied AI – a historic inflection point. - **Early‑stage impact**: Join a Y Combinator‑backed startup just months old, with direct influence on product, data pipeline, and research direction. - **Work environment**: Hybrid/remote options available; offices in San Francisco (in‑office for some roles, remote for others). [builtin.com](https://builtin.com/company/human-archive) - **Team culture**: Small, tight‑knit team (18 employees as of mid‑2026) of engineers and operators who “dropped out of Stanford and Berkeley” to pursue this vision. - **Cutting‑edge tech**: Work with custom hardware, multimodal sensor fusion, large‑scale data pipelines, and state‑of‑the‑art robotics models. - **Open roles**: Engineering (Research, ML, Infrastructure, Firmware, Embedded, Hardware Test) and Operations (Head of Operations). [ycombinator.com](https://www.ycombinator.com/companies/human-archive/jobs) ## Sources 1. [humanarchive.ai](https://www.humanarchive.ai/) – Company website 2. [builtin.com](https://builtin.com/company/human-archive) – Company profile, headcount, office locations, job listings 3. [ycombinator.com](https://www.ycombinator.com/companies/human-archive) – Y Combinator company page, founding details, funding, jobs 4. [techcrunch.com](https://techcrunch.com/2026/05/26/human-archive-taps-into-indias-services-startups-to-collect-data-for-physical-ai/) – TechCrunch article on $8.2M seed round, business model, and operations ## Other roles at Human Archive - [Head of Engineering Operations](https://feeny.ai/job/head-of-engineering-operations-human-archive-india-19b8vd5cprjr) — India - [Member of Technical Staff, India](https://feeny.ai/job/member-of-technical-staff-india-human-archive-india-hj9464k7e1z9) — India - [Operations Manager (YC-Backed, High-Growth Startup)](https://feeny.ai/job/operations-manager-yc-backed-high-growth-startup-human-archive-india-9z2awb5n92ft) — India - [Head of Talent Acquisition](https://feeny.ai/job/head-of-talent-acquisition-human-archive-india-d010qcxhmh8s) — India - [Chief of Staff](https://feeny.ai/job/chief-of-staff-human-archive-india-06rpdhx25fvz) — India - [Operations Manager (on-site)](https://feeny.ai/job/operations-manager-on-site-human-archive-india-89the0bwz925) — India - [Founder's Office Intern - Partnerships](https://feeny.ai/job/founder-s-office-intern-partnerships-human-archive-india-6fzh5878617c) — India - [Deployment Associate - Field Operations](https://feeny.ai/job/deployment-associate-field-operations-human-archive-india-k919yyjc5q57) — India - [Operations Manager](https://feeny.ai/job/operations-manager-human-archive-india-dhnzsq0kkv6g) — India - [Strategy & Project Lead (Data Operations)](https://feeny.ai/job/strategy-project-lead-data-operations-human-archive-india-4wewntj07j0x) — India