Вакансии

Location: San Francisco 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.

Location: India Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. About the role We operate a fleet of camera and sensor devices in the field at scale. They generate large volumes of recordings on removable media, and every recording has to reach cloud storage intact, correctly identified, and traceable back to the exact device, card and operator that produced it. This role owns the technical layer underneath that pipeline. Day-to-day offload is run by an operations lead and their team; you are the person who makes their work possible and correct. You own the ingest stations, the tooling that runs on them, the hardware fleet, quality control, and the standards everyone follows. When something fails in a way the operations team cannot resolve, it comes to you. It is hands-on. You will spend time at ingest stations, in the quality control area, and at deployment sites, and you will write scripts to make all of it less manual. It suits someone comfortable with a Linux terminal and a screwdriver in the same afternoon, who finds an unaccounted-for storage card genuinely intolerable. WHAT YOU’LL DO Own the ingest pipeline (the operations team runs it) - Build, configure and maintain ingest stations — hardware, operating system, tooling — and replicate that build reliably across locations - Own the ingest tooling in the field: deploy updates, fix what breaks, and carry requirements back to the software team - Define the verification and media lifecycle rules the operations team follows — what must pass before a card is released for reuse, and what happens when it doesn’t - Act as escalation for failed and partial ingests: determine whether the cause is media, device, station, tooling or procedure, and fix the underlying issue rather than the instance - Audit that the process is actually being followed, and close the gaps you find Own the hardware fleet - Maintain inventory of capture devices, memory cards and drives across locations, with full chain of custody - Run reconciliation and investigate discrepancies to root cause rather than writing them off - Specify and evaluate hardware — cards, readers, hubs, enclosures, drives — and manage returns and warranty claims with suppliers - Plan capacity: how many cards, how many drives, what rotation, with margin Quality control - Investigate recording failures with controlled tests rather than guesswork; isolate whether a fault sits in the device, the media, the station or the procedure - Decide what gets escalated, repaired or retired, and document the evidence behind the call - Define capture configuration standards and verify device settings in the field Support the teams - Be the technical escalation point for the operations lead, the quality control team and field operators - Train operators on tooling and hardware, and write procedures a new joiner can follow unsupervised - Travel to deployment sites as needed Report - Produce recording yield, data loss and operator performance reporting - Be able to say whether a bad number reflects a real failure or an artefact of how it was measured Automate - Write Python and shell scripts to remove manual steps from the workflow - Work with the software team on tooling requirements, and file precise bug reports when the software gets in the way WHAT WE’RE LOOKING FOR - A technical background — a degree in engineering or computer science, or equivalent hands-on experience. This is an engineering role that happens to involve hardware and field work, not a coordination role with a technical veneer - Comfort in Linux: mounting and formatting media, filesystems, permissions, scheduled jobs, reading logs - Working Python — enough to script a batch job, walk a directory tree, or call an API - Fluent use of AI tools — Claude, Claude Code, Cowork or equivalent — as part of how you work day to day. We expect you to use them to write scripts, investigate failures and draft procedures faster than you would alone, and to know where their output needs checking before it reaches a station or an operator - Hardware troubleshooting instinct: forming a hypothesis, testing it, eliminating causes one at a time - Real care about data integrity and chain of custody, and the discipline to follow a verification step even when it is inconvenient - Clear written English — you will write procedures other people depend on - Willingness to work with physical equipment and travel to sites - Comfort in an environment where the process may not exist yet and you are expected to define it NICE TO HAVE - Experience with cameras or sensor hardware - SQL, or experience querying an internal API for reporting - Storage systems — RAID, ZFS, network-attached storage administration - Prior work in data collection, field operations, logistics or laboratory operations - Barcode or asset-tracking systems

Location: India Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. About the Role We build and run the software platform behind a large-scale data collection and annotation operation: the system of record that tracks what was collected and by whom, the tooling annotators work in, the ingest integrations that move data from physical media into cloud storage, and the reporting that tells us whether any of it is working. These are internal systems with real users — operators in the field, annotators working through millions of items, ingest stations moving terabytes, and machine clients writing back automatically. They are small enough that you will own whole systems and serious enough that correctness matters: a duplicated record or a dropped identifier means data that can no longer be traced to what produced it. We want a strong generalist. You will design schemas, build APIs, write the interfaces on top of them, and deploy and debug the whole thing in production. Nobody here hands you a spec. WHAT YOU’LL DO - Design and build services end to end — schema, API, and the internal interfaces on top — primarily Python, FastAPI, PostgreSQL and React - Build a bunch of dashboards and internal web apps to track metrics, KPIs and deployments - Own data models where correctness is load-bearing: explicit table grain, immutable external identifiers, idempotent writes, derived rather than duplicated state - Build tooling for human review workflows, including putting model output in front of people to correct rather than having them start from scratch - Build and maintain integration surfaces for machine clients — automated processes that read and write over authenticated service endpoints - Deploy and operate on AWS (object storage, CDN, DNS, identity, load balancing), and lead debugging when something breaks across those layers - Do the performance work: query profiling, indexing, caching, and the aggregate views that keep reporting responsive - Work directly with the operations team — the people using what you build are down the hall, and their workflow constraints are the requirements WHAT WE’RE LOOKING FOR - Strong Python in production, with FastAPI or a comparable framework, and real PostgreSQL depth: schema design, indexing, query performance, migrations - Enough front-end capability to own the client as well as the server — React and TypeScript. You need not be a design specialist, but you should ship a usable internal tool without waiting for one - API design judgment: versioning, idempotency, batch endpoints, and failure semantics that return per-item results rather than failing everything - Data-integrity instincts. You should be able to explain why deriving a value beats storing a second copy of it, and why a client-generated identifier solves a retry problem - Ability to debug across boundaries — application, database, network, cloud service — and to isolate a fault to a layer before proposing a fix - Fluent use of AI tools — Claude, Claude Code, Cowork or equivalent — as a normal part of how you build. We care that you ship well with them and that you review what they produce: you own the code that lands, whoever or whatever drafted it - Comfort with ambiguity and ownership: choosing an approach, writing down why, and living with the consequences - Clear technical writing NICE TO HAVE - Serving or integrating model inference in a production path — batching, latency, versioning, handling low-confidence output - Annotation, labelling, or any human-in-the-loop review system - Clients that must tolerate unreliable connectivity and reconcile cleanly afterwards - Media or sensor data at scale — video pipelines, large binary object storage, structured time-series recording formats - Infrastructure as code, CI/CD, or observability — we are light here and would welcome someone who raises the floor - Tooling that exposes internal data to language models

Location: India GROWTH MEASURED IN MONTHS, NOT YEARS. DIRECT ACCESS TO THE FOUNDING TEAM. OWN A LIVE SITE FROM DAY ONE. Human Archive builds the datasets that teach robots to work with their hands, captured from real people on factory floors, in kitchens and on construction sites across 30+ countries. We're YC-backed with $8.2M raised, and built by researchers from Stanford, Berkeley, NYU GRAIL, UPenn GRASP and JHU Robotics. The path here moves quickly: Operations Manager, then Regional Manager, then City Head, based on performance rather than time served.   THE ROLE As an Operations Manager, you own the deployment. From the moment equipment leaves our storage point to the moment the day's data is verified, it is yours to run: a team of five to six operators, a live site, and a set of problems nobody can solve for you from a desk. The stakes are real: robots learn from what we capture. A good deployment produces data that trains machines to work with their hands; a bad one produces footage nobody can use. That call gets made on the floor, by you, in the moment. It suits someone who is equally comfortable talking to a mechanic mid-shift and holding a strict data protocol when a site is pushing back. Most people can do one. We are looking for the ones who can do both.   RESPONSIBILITIES - Collect and verify camera inventory, batteries and accessories from the local storage point each morning - Travel with your team to the deployment site and set up for the day's collection - Brief and manage five to six field operators through the collection plan - Meet and coordinate with the site point of contact, typically a Director, Operations Head or owner of a factory, resort or restaurant - Check data quality through the day, including camera framing, battery levels and storage - Complete and verify the taxonomy for all footage collected on site - Reconcile inventory at day end and return it to the dark store manager - Transfer and upload the day's data, and submit the deployment report   WHERE THIS GOES You report to the Zone Head and the Operations Head, and work directly with the founding team. Each Operations Manager runs one deployment team of five to six field operators, with a home city and rotation across active national sites. Strong performers move fast. Regional Manager comes first, owning multiple deployment teams across a zone. City Head comes next, owning a city's full operations, including site partnerships and vendor relationships. We expect our operations leadership to come from this cohort.   WHO WE'RE LOOKING FOR Non-negotiable - Strong spoken English and Hindi. You are often our first point of contact with Directors, Operations Heads and owners of factories, resorts and restaurants - Willingness to work on site and travel, not from a desk - Ability to give clear direction to field teams in Hindi and English - Ability to make decisions independently when a deployment does not go to plan We're hiring two kinds of people: 1. Freshers: 2025 and 2026 pass-outs. Startup internship experience strongly preferred. If you've interned at an early-stage company and know what it's like when the process doesn't exist yet and you have to build it, this role will make sense to you. 2. People with 1–3 years of field or operations experience. Prior experience as an Operations Manager, City Ops, Fleet Ops or Field Ops at a startup. Quick commerce, home services, hyperlocal delivery and on-demand backgrounds map directly onto this role: companies like Snabbit, Blinkit, Zepto, Swiggy, Urban Company, Rapido and Porter. Prior experience is useful but not required. We train on our protocol and taxonomy. What we cannot train is spoken English and ownership.   THIS ROLE IS NOT FOR YOU IF - You want a fixed desk and a fixed city - You want predictable 10-to-6 hours - You are uncomfortable spending your day on factory floors, in kitchens and on shop floors - You would rather escalate a problem than solve it on the spot   TRAVEL This role requires substantial travel: a typical month may include a week each in Delhi NCR, Bengaluru and Assam. You should be comfortable with this before applying. Base location is Delhi NCR. All outstation work-related travel, accommodation, meals and commute are paid by the company and are not part of your CTC.   WORKING SCHEDULE - 6-day work week - Actual working hours are approximately 9–10 hours. On deployment days, a significant part of the day is spent travelling, over and above working hours. - Reporting time depends on the deployment and can be early morning. - Sunday deployments are limited to a maximum of two per month. - On non-deployment days you handle data transfer and upload, deployment planning, reporting and site coordination. These days run on more regular hours.   ELIGIBILITY - Any graduate degree (BBA, BA, B.Com http://B.Com, BHM, B.Tech http://B.Tech or equivalent). Hospitality, hotel management and general management backgrounds do particularly well in this role. - Batch: 2025 and 2026 pass-outs, or up to 3 years of relevant experience - No minimum CGPA cutoff. We hire on the interview, not the marksheet COMPENSATION Total CTC: ₹4 to 7 LPA, based on interview performance. 100% fixed. There is no variable or performance-linked component. Comp is revised at each step as you move up. - Probation: 2 months at full salary, no deduction - No service bond or training bond of any kind

Location: India We’re looking for a Head of Talent Acquisition to own hiring and core people operations at Human Archive. This is not a role for someone who wants to build slow recruiting systems. We need someone who can move extremely fast, operate under pressure, and hire at massive scale across a wide range of roles. You might be asked to hire 10 people in the next two weeks, then immediately build the pipeline for the next 50. We don't have anyone on the HR/People team right now so you will have to own the stack end-to-end 2+ YOE WHAT YOU’LL OWN - End-to-end hiring across field operations, field sales, managers, data annotators, and other high-volume operational roles - Building sourcing pipelines capable of producing hundreds of qualified candidates - Screening, interviewing, coordinating, closing, and getting candidates to join quickly - Working directly with founders to understand rapidly changing headcount needs - Designing recruiting processes that optimize for speed without compromising quality - Managing job boards, agencies, referrals, campus pipelines, and other sourcing channels - Owning candidate tracking, recruiting metrics, and hiring forecasts - Managing offer rollout, documentation, onboarding, and employee joining - Coordinating payroll and ensuring employees are paid accurately and on time - Owning day-to-day people operations including leave policies, attendance, employee records, and basic HR administration - Building the systems and eventually the team required to support hiring at significantly larger scale WHAT WE’RE LOOKING FOR - You are exceptionally fast and execution-oriented - You are comfortable with aggressive hiring targets and short timelines - You have experience with high-volume recruiting, ideally for operations, sales, support, annotation, logistics, or similar workforces - You can simultaneously recruit for frontline roles and more senior managerial positions - You are highly organized and can keep track of dozens of candidates and employees without things falling through the cracks - You don’t wait for perfect processes—you build what is needed and improve it while operating - You are comfortable owning recruiting as well as the operational work that happens after someone accepts an offer - You care about numbers: pipeline size, conversion rates, time-to-hire, joining rates, attrition, and hiring velocity WHAT SUCCESS LOOKS LIKE When we say we need 10 people within two weeks, your response is figuring out how to make it happen. You build a recruiting engine that allows Human Archive to scale its workforce rapidly while making sure the people who join are onboarded, paid, and supported properly. This is a high-ownership, high-intensity role for someone who wants to build the talent function from the ground up.

Location: India ABOUT THE ROLE Human Archive (YC W26) is hiring someone to lead our end-to-end data annotation operations. You will work directly with the founder to build and manage a high-performing annotator workforce for robotics data. Your job is to ensure we consistently have the right people, quality, and throughput across multiple projects running simultaneously. This is a highly hands-on role for someone who is excellent with people, metrics, and fast-moving operations. WHAT YOU WILL DO - Recruit, evaluate, and manage high-quality data annotators - Maintain a high bar for annotation quality and workforce performance - Allocate annotators across multiple simultaneous projects - Track daily throughput, quality, attendance, utilisation, and project targets - Build dashboards and operating systems with our engineering team - Identify bottlenecks and improve annotation workflows - Design incentives that help teams consistently meet daily targets - Forecast staffing requirements for upcoming projects - Manage team leads and resolve day-to-day operational issues - Build processes that can scale from hundreds to thousands of annotators WHO WE ARE LOOKING FOR - Extremely good with people and frontline teams - Strong analytical ability and comfort with metrics and dashboards - Excellent at prioritisation and resource allocation - Highly organised and able to manage multiple projects at once - Creative about incentives, hiring, performance, and operations - Clear, direct, and fast communicator - High ownership, energy, urgency, and agency - Comfortable working in a demanding, fast-changing startup environment Experience at companies such as Surge AI, Scale AI, Mercor, Turing, Outlier, Remotasks, or similar workforce and data-operations businesses is a strong advantage. IDEALLY 2+ YOE LOCATION On-site in Bangalore.

Location: India ABOUT HUMAN ARCHIVE Human Archive is a data lab modeling human embodied intelligence. We're researchers from Stanford, Berkeley, NYU GRAIL, UPenn GRASP, JHU Robotics and national robotics champions, backed by Y Combinator and $8.2M. Hardware — We design, manufacture and calibrate thousands of custom collection rigs, gloves and wrist cameras, with our hardware team in Shenzhen. Operations — We have 100+ full-time team members collecting large-scale multimodal video and sensor data from 100,000+ contributors and 500+ industry partners across homes, hotels, restaurants, agriculture, manufacturing, construction and retail in 30+ countries. In India, our operations are headquartered in Bengaluru and run live across Delhi NCR, Bengaluru, Mumbai, Goa etc. Software — We develop custom 3D perception and annotation models tailored to our hardware, and train robot policies on our datasets. Our SLAM and hand-pose models achieve state-of-the-art performance. Despite decades of research, we still barely understand how humans think, move or interact with the world. Human Archive's datasets are foundational infrastructure for automating manual labor, increasing global abundance and advancing our understanding of the brain. ABOUT THE ROLE As an Operations Manager, you own the deployment. From the moment equipment leaves our storage point to the moment the day's data is verified, it is yours to run — a team of five to six operators, a live site, and a set of problems nobody can solve for you from a desk. The stakes are real. Robots learn from what we capture. A deployment run well produces data that trains machines to work with their hands; a deployment run badly produces footage nobody can use. That call gets made on the floor, by you, in the moment. It suits someone who is equally comfortable talking to a mechanic mid-shift and holding a strict data protocol when a site is pushing back. Most people can do one. We are looking for the ones who can do both. A DAY ON DEPLOYMENT Reporting time varies by deployment and can be early morning. A typical day runs as follows. - Start of day — Reach the storage point, for example our Gurgaon dark store. Collect and verify camera units, batteries, memory cards and accessories against the assigned inventory on the app. - Travel — Move to the deployment site with your team. - On arrival — Meet the site point of contact. Walk the floor and confirm the day's capture plan, including which workers and stations are being recorded. - Briefing — Brief your five to six operators. Assign stations, fit camera systems on the workers, run a test capture. - Collection — Run the day's capture. Move between stations checking framing, battery levels and storage. Handle what goes wrong: a worker steps away, a shift changes, a station becomes inaccessible. You make the call on the spot. - Wrap — Close capture and complete the taxonomy for everything collected on task level. - Day end — Return to the storage point, reconcile inventory with the dark store manager, flag damaged units, transfer data and submit the deployment report. RESPONSIBILITIES - Collect and verify camera inventory, batteries and accessories from the local storage point each morning - Travel with your team to the deployment site and set up for the day's collection - Brief and manage five to six field operators through the collection plan - Meet and coordinate with the site point of contact, typically a Director, Operations Head or owner of a factory, resort or restaurant - Check data quality through the day, including camera framing, battery levels and storage - Complete and verify the taxonomy for all footage collected on site - Reconcile inventory at day end and return it to the dark store manager - Transfer and upload the day's data, and submit the deployment report WHO WE'RE LOOKING FOR Non-negotiable - Strong spoken English and Hindi. You are often our first point of contact with Directors, Operations Heads and owners of factories, resorts and restaurants. - Willingness to work on site and travel, not from a desk - Ability to give clear direction to field teams in Hindi and English - Ability to make decisions independently when a deployment does not go to plan We're hiring two kinds of people 1. Freshers: 2025 and 2026 pass-outs Startup internship experience strongly preferred. If you have interned at an early-stage company and know what it is like when the process does not exist yet and you have to build it, this role will make sense to you. 2. People with 1–3 years of field or operations experience Prior experience as an Operations Manager, City Ops, Fleet Ops or Field Ops at a startup. Quick commerce, home services, hyperlocal delivery and on-demand backgrounds map directly onto this role — companies like Snabbit, Blinkit, Zepto, Swiggy, Urban Company, Rapido and Porter. Prior experience is useful but not required. We train on our protocol and taxonomy. What we cannot train is spoken English and ownership. THIS ROLE IS NOT FOR YOU IF - You want a fixed desk and a fixed city - You want predictable 10-to-6 hours - You are uncomfortable spending your day on factory floors, in kitchens and on shop floors - You would rather escalate a problem than solve it on the spot TRAVEL This role requires substantial travel. A typical month may include a week in Delhi NCR, a week in Bengaluru and a week in Assam. You should be comfortable with this before applying. - Base location is Delhi NCR. - All outstation work-related travel, accommodation, meals and commute are paid by the company and are not part of your CTC. WORKING SCHEDULE - 6-day work week - Actual working hours are approximately 9 to 10 hours. On deployment days a significant part of the day is spent travelling, over and above working hours. - Reporting time depends on the deployment and can be early morning. - Sunday deployments are limited to a maximum of two per month. - On non-deployment days you handle data transfer and upload, deployment planning, reporting and site coordination. These days run on more regular hours. ELIGIBILITY - Any graduate degree (BBA, BA, B.Com http://B.Com, BHM, B.Tech http://B.Tech or equivalent). Hospitality, hotel management and general management backgrounds do particularly well in this role. - Batch: 2025 and 2026 pass-outs, or up to 3 years of relevant experience - No minimum CGPA cutoff. We hire on the interview, not the marksheet. COMPENSATION - Total CTC: ₹4.2–7 LPA, based on interview performance - 100% fixed. There is no variable or performance-linked component. - Probation: 2 months at full salary. No deduction during probation. - No service bond or training bond of any kind. REPORTING AND GROWTH You report to the Zone Head and the Operations Head, and work directly with the founding team. Each Operations Manager runs one deployment team of five to six field operators, with a home city and rotation across active national sites. Typical progression for strong performers: - Regional Manager — around 8 months. Owns multiple deployment teams across a zone. - City Head — around 18 months. Owns a city's full operations, including site partnerships and vendor relationships. We expect our operations leadership to come from this cohort.

Location: India We’re looking for 1–2 Founder’s Office Interns to work directly with me on building Human Archive’s campus partnership network across India. The goal is simple: build relationships with the most ambitious, hands-on student organizations in the country and turn them into a long-term network for data collection, sponsorships, and hiring. We’re especially interested in people who are currently in their 3rd or 4th year of university and have already built or led something meaningful on campus. You might have: - Led a major college fest, event, or student organization - Run a Formula Student / Formula Electric / robotics / aerospace team - Worked on biotech experiments, hardware projects, fabrication, carpentry, woodworking, civil engineering, bridge-building, or other hands-on engineering projects - Built a strong community of unusually ambitious students - Been the person who could actually make things happen inside your university WHAT YOU’LL DO You’ll work directly with the founders to build a pan-India network of high-quality student organizations. That includes: - Identifying the strongest student organizations across India's top universities - Reaching out to and building relationships with their leadership teams - Creating partnerships and sponsorship programs with these organizations - Figuring out which campuses and communities are best suited for different Human Archive data-collection projects - Building repeatable systems for launching programs across dozens of campuses - Using this network as a pipeline for finding exceptional interns, operators, engineers, and future full-time hires - Traveling to campuses and events when necessary This is not a traditional campus ambassador program. We want to build deep relationships with organizations where students are actually building things, running large operations, organizing hundreds of people, or executing technically difficult projects. YOU’D BE A GOOD FIT IF - You’re extremely high-agency and don’t need to be told how to get something done - You have strong campus networks or know how to build them quickly - You’re comfortable cold reaching out to people and turning conversations into partnerships - You’ve led teams, organizations, events, or technically ambitious projects yourself - You understand how student communities actually work - You’re persuasive, organized, and extremely fast-moving - You want exposure to how a fast-growing startup builds operations and talent networks from scratch You’ll work closely with the founders and have significant ownership from day one. Location: Bangalore / Remote with travel across India Type: Internship

Location: India ABOUT THE ROLE Human Archive runs large-scale field deployments to collect egocentric robotics data. We are hiring a Deployment Associate to be our person on the ground at every site. You will be the site lead for your deployment - setting up and running the capture devices, building and maintaining the task taxonomy that defines what gets collected, supervising the workers performing the tasks, and making sure every hour of data that leaves the site is clean, complete, and correctly labelled. This is the role that decides whether a deployment produces usable data or unusable data. It is hands-on, detail-heavy, and best suited to someone who is equally comfortable talking to workers on a shop floor and enforcing a strict data protocol. WHAT YOU WILL DO Own the taxonomy - Build and maintain the task and activity taxonomy for each deployment - the breakdown of tasks, sub-tasks, objects, and environments being captured - Study the site's real workflows and translate them into a clear, consistent, collectable structure - Keep naming conventions, labels, and category definitions consistent across sites, days, and operators - Flag gaps, overlaps, and ambiguous categories, and refine the taxonomy as new environments are onboarded Run the site - Act as site lead for the deployment - first point of contact for the client site, the workers, and the internal team - Brief workers on what is being captured, how, and why, and keep them productive through the day - Supervise, correct, and re-train operators in real time so capture quality does not drift - Track daily targets - hours captured, tasks covered, sessions completed - and report progress Deploy the hardware - Set up, fit, calibrate, and troubleshoot capture devices (head-mounted cameras, sensors, recorders, batteries, storage) - Manage charging, storage cards, device assignment, and end-of-day teardown - Diagnose and resolve device failures on the spot; escalate and swap when they cannot be fixed - Maintain accurate device, accessory, and inventory records for dispatch and return Own the data - Run data collection end to end - capture, offload, verification, backup, and upload - Check every session before it leaves the site: correct framing, complete recordings, no corrupt or missing files, correct metadata - Maintain session logs mapping every file to task, worker, device, location, and timestamp Follow and improve SOPs - Execute deployment SOPs exactly - setup checklists, consent and safety protocols, capture standards, upload procedures - Enforce compliance across the whole site team, not just yourself - Document what breaks in the field and turn it into better SOPs, checklists, and training material - Help train new associates and team leads as we scale to more sites and cities WHO WE ARE LOOKING FOR - 1–4 years of experience in field operations (in companies like Swiggy, Zomato, Snabbit, Urban Company, Blinkit etc), data collection, production, QC, or a similar hands-on execution role. Someone who has managed the cluster or area and lead the team. - Genuinely detail-oriented - you notice a mislabelled folder, a wrong angle, or a missing file before anyone else does - Quite comfortable with travel as it can be hectic like - 1st week in Assam then next to Bihar, and 3rd can be in Chennai. - Comfortable with structure: checklists, naming conventions, logs, spreadsheets, and daily reporting - Practically minded with hardware - you can set up, debug, and maintain equipment without needing an engineer - Able to lead and direct a group of workers with respect and clarity, including people from very different backgrounds - Calm and decisive when a device dies, a worker doesn't show up, or a site changes plans mid-day - Willing to travel and be on-site full time, including in factories, warehouses, kitchens, workshops, and other working environments - High agency and high urgency - you take full ownership of your site's output Experience in field data collection, data operations or ground operations at companies like Blinkit, Zepto, Swiggy, Urban Company, Delhivery, Amazon, or Flipkart is a strong advantage. This is not a desk role. You will spend your days on site, with the devices, the workers, and the data.

Location: India ABOUT THE ROLE Human Archive runs large-scale field deployments to collect egocentric robotics data. We are hiring a Field Operations Manager to own the day-to-day execution of these deployments. You will coordinate field teams, hardware, transportation, schedules, and deployment locations to make sure every operation starts on time and hits its daily targets. This is a highly hands-on role for someone who is organised, resourceful, and comfortable solving problems in real time. WHAT YOU WILL DO - Plan and manage daily field deployments - Coordinate field teams, team leads, vehicles, hardware, and deployment locations - Create daily schedules and assign people across projects - Ensure teams receive the right equipment and reach locations on time - Track attendance, deployment progress, productivity, and daily targets - Coordinate with inventory teams for hardware dispatches and returns - Handle transport, accommodation, vendor, and other logistical requirements - Resolve last-minute issues such as absences, delays, hardware failures, or location changes - Maintain clear daily reports and operational dashboards - Improve processes to make deployments faster, more reliable, and more efficient - Help launch operations in new locations and cities - Hire, train, and manage field coordinators and team leads as the operation scales WHO WE ARE LOOKING FOR - Strong experience in field operations, logistics, workforce management, or last-mile operations - Excellent at coordinating large numbers of people and moving parts - Highly organised and detail-oriented - Comfortable working with targets, dashboards, and daily performance metrics - Strong communication and people-management skills - Calm and decisive when things go wrong - Willing to be on the ground and take full ownership of execution - High agency, urgency, and willingness to do whatever is required to get the deployment completed Experience at companies such as Blinkit, Zepto, Swiggy, Urban Company, Delhivery, Porter, Amazon, Flipkart, or similar operations-heavy businesses is a strong advantage. This is not a strategy-only role. You will be expected to be closely involved in daily execution and field problem-solving.

Location: India ABOUT THE ROLE Human Archive (YC W26) is hiring someone to lead our end-to-end data annotation operations. You will work directly with the founder to build and manage a high-performing annotator workforce for robotics data. Your job is to ensure we consistently have the right people, quality, and throughput across multiple projects running simultaneously. This is a highly hands-on role for someone who is excellent with people, metrics, and fast-moving operations. WHAT YOU WILL DO - Recruit, evaluate, and manage high-quality data annotators - Maintain a high bar for annotation quality and workforce performance - Allocate annotators across multiple simultaneous projects - Track daily throughput, quality, attendance, utilisation, and project targets - Build dashboards and operating systems with our engineering team - Identify bottlenecks and improve annotation workflows - Design incentives that help teams consistently meet daily targets - Forecast staffing requirements for upcoming projects - Manage team leads and resolve day-to-day operational issues - Build processes that can scale from hundreds to thousands of annotators WHO WE ARE LOOKING FOR - Extremely good with people and frontline teams - Strong analytical ability and comfort with metrics and dashboards - Excellent at prioritisation and resource allocation - Highly organised and able to manage multiple projects at once - Creative about incentives, hiring, performance, and operations - Clear, direct, and fast communicator - High ownership, energy, urgency, and agency - Comfortable working in a demanding, fast-changing startup environment Experience at companies such as Surge AI, Scale AI, Mercor, Turing, Outlier, Remotasks, or similar workforce and data-operations businesses is a strong advantage. We care more about your ability to execute than your degree, credentials, or years of experience. LOCATION On-site in Bangalore.

Location: India ABOUT HUMAN ARCHIVE Human Archive is a research lab focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. THE OPPORTUNITY This role is ideal for someone early in their career (1–5 years of experience, or an exceptional dropout) who wants real operational ownership, not a rotational apprenticeship. You’ll work closely with the co-founders and Head of Operations in a high-trust role at the center of execution at Human Archive. You will own the end-to-end lifecycle of field operations globally, including sourcing and structuring partnerships to unlock access to real-world labor environments, deploying and supporting field teams, and ensuring clean data offload, audit, and closure. Your mandate is to turn site access into reliable, repeatable, high-velocity data collection, even in messy, real-world conditions. You will build and run core operating systems: coordinating site readiness, managing kits and logistics, leading large field teams during on-site execution, and enforcing post-site workflows that guarantee data quality and operational closure. This is a hands-on execution role: you’ll plan, but you’ll also be on the ground supporting field teams, unblocking hardware and deployment issues, tightening processes, and making sure things actually get done. WHAT YOU’LL DO - Source and manage deployment partnerships globally - Own field operations from site readiness through post-site closure - Lead field teams and ensure reliable execution during deployments - Run high-velocity data collection campaigns under real-world constraints - Work directly with sensing hardware, deployment kits, upload systems, and offloading workflows - Troubleshoot hardware, deployment, and operational issues in the field - Improve operational systems across deployments, audits, inventory, and payouts - Work closely with hardware, software, and operations teams during deployments WHAT WE’RE LOOKING FOR - Strong execution ability and willingness to take ownership in fast-moving environments - Ability to manage deployments and field teams under real-world constraints - Strong technical intuition and comfort working directly with hardware and operational tooling - Strong communication skills and ability to make decisions quickly with limited information - Highly resilient, resourceful, and comfortable solving difficult operational problems - Prior experience in operations, logistics, consulting, marketplaces, field work, or startups is a plus

Location: India Workplace: OnSite ABOUT THE ROLE Human Archive deploys cameras and other hardware for large-scale egocentric data collection. We are setting up an internal mini dark store that will manage cameras, power banks, charging stations, cables, storage devices, and other equipment used by our field teams. We are looking for someone to design the operating system for this facility and manage its day-to-day operations. Location: Gurgaon WHAT YOU WILL DO - Set up and manage our hardware dark store - Create systems for inventory tracking, storage, dispatch, and returns - Issue cameras and equipment to field teams every morning - Collect and reconcile all equipment at the end of the day - Track which person has each device or accessory - Ensure cameras, power banks, and other equipment are charged and ready - Identify missing, damaged, or faulty equipment - Maintain accurate daily inventory records - Manage repairs, replacements, and procurement requirements - Design processes that can scale as our operations grow - Hire and manage additional store or inventory staff as required WHO WE ARE LOOKING FOR - Experience managing a dark store, warehouse, fulfilment centre, or inventory operation - Strong operational discipline and attention to detail - Comfortable working with physical hardware and high-volume daily dispatches - Able to build simple, reliable systems from scratch - Comfortable managing frontline teams and day-to-day operations - Ownership mindset and willingness to work hands-on Experience at companies such as Blinkit, Zepto, Instamart, Swiggy, Amazon, Flipkart, Delhivery, or similar operations-driven businesses is a strong advantage. ABOUT HUMAN ARCHIVE Human Archive is a research lab focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us.

Location: China Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. What you'll work on The single hardest role on the team. You'll own the entire optics and calibration stack — lens selection, image quality, intrinsics, extrinsics, ISP tuning, multi-camera alignment. End to end. Optics and sensor selection - Lens characterization (MTF, distortion, chromatic aberration) - Sensor variant evaluation and selection - Optical mount tolerance budget with the mechanical team - IR filter and lens shading correction approach Image quality and ISP tuning - AE, AWB, color matrix, gamma, lens shading correction - Multi-camera color and exposure consistency - Image quality validation in mixed real-world lighting Multi-stage calibration pipeline - Camera intrinsics and fisheye distortion modeling - Stereo and multi-camera extrinsics - Camera-IMU spatial and temporal calibration - Magnetometer calibration in the assembled stack Calibration infrastructure - Rig design and fixture builds (turntables, lighting, targets) - Calibration software pipeline - Automated verification and QA systems - Documentation for factory deployment Production and field calibration - Factory-floor calibration procedure - Per-unit calibration QA gating - Field calibration drift monitoring - Sensor / lens transition tooling Required technical experience - Hands-on multi-camera calibration (intrinsics, stereo, multi-rig) - Fisheye distortion modeling (Kannala-Brandt or equivalent) - IMU calibration: bias, alignment, Allan variance, temperature curves - Calibration tooling and infrastructure for production - Comfortable in both the optics lab and the calibration software stack Strong plus - OpenCV, Kalibr, or similar calibration frameworks - ISP tuning on Qualcomm, NXP, or Ambarella platforms - AR/VR, autonomous vehicle, or research-grade capture device background - Camera-IMU temporal alignment - Manufacturing calibration line experience - Uncertainty quantification and error analysis About this role Your work determines whether thousands of hours of captured data is usable. Bad calibration is silent — data passes acceptance and fails downstream model training months later. The candidate pool is small. We pay top of band.

Location: China Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. What you'll work on We're hiring an electrical engineer to lead PCB and power systems for our wearable capture hardware. Dense, high-speed, mixed-signal work in tight wearable form factors. Compute module integration - Custom carrier boards for ARM compute modules - Breakout and routing of high-speed interfaces from compact modules to custom peripherals - Bring-up coordination with firmware High-speed PCB design - End-to-end ownership of rigid-flex and high-density boards - High-bandwidth interfaces (MIPI CSI-2, SerDes, USB 3.x, PCIe, UFS) - EMI, crosstalk, and impedance control in space-constrained designs Power architecture and battery systems - Power Delivery Networks for double-digit-watt wearable loads - Battery management for field-swappable cell architectures - Fuel gauging and runtime estimation - Transient load behavior and power sequencing Sensor and peripheral integration - Multi-camera array electrical integration - Inertial, magnetic, acoustic, and environmental sensor wiring - Low-noise analog rails and shared precision clock distribution Bring-up, debugging, and validation - Board bring-up alongside firmware - Signal integrity, power integrity, and timing diagnosis - EMC pre-scans and compliance support Required technical experience - Strong PCB design in Altium, Cadence Allegro, or KiCad - High-speed digital design: differential pair routing, impedance control, stack-up - SI/PI simulation and validation - Compute module / SoM carrier board experience - Lab debugging instincts (scope, logic analyzer, network analyzer) Strong plus - Multi-camera array design (3+ concurrent cameras) - High-speed SerDes routing - ARM SoC carrier work (Qualcomm, NXP, or similar) - Wearable / body-worn product background - Hot-swap power design - FCC / CE / RoHS compliance and DFM handoff experience About this role You own electrical design end-to-end — schematic through bring-up through production-ready DFM. The interface stack is broad, the form factor is tight, and the boards you design end up on real users. Mistakes show up in the field within weeks. You'll iterate fast.

Location: China Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. What you'll work on We're hiring a firmware engineer to own the embedded software stack on our wearable capture hardware. Close-to-the-metal work at the intersection of high-bandwidth sensor data, precise timing, and constrained-power embedded compute. You read schematics, debug buses, and know when the bug is in firmware versus when it's in hardware. System architecture - Firmware architecture on embedded Linux on ARM - System state machines: boot, capture, idle, fault recovery - Power management states and low-power transitions Sensor integration and timing - Drivers for cameras, IMUs, microphones, environmental sensors - Sub-millisecond cross-sensor synchronization - Hardware-level timestamping infrastructure - Real-time sensor data alignment - Lightweight on-device fusion for orientation and worn-state estimation (Kalman variants) Data pipeline - Multi-stream concurrent capture - Hardware video encoder pipelines - High-throughput storage writes - Industry-standard delivery format packing Connectivity and fleet operations - Device-to-backend telemetry (battery, storage, session state, error events) - Secure OTA firmware updates with signed images and rollback protection - Remote configuration and fleet management commands - Communication protocols for device-cloud messaging (MQTT-over-TLS, HTTPS, WebSockets) Hardware / software bring-up - Firmware-side board bring-up alongside electrical engineers - Validate hardware interfaces (I²C, SPI, USB, MIPI) - Diagnose timing, power sequencing, and communication faults Required technical experience - Strong C/C++ for embedded systems on ARM - Python for testing, tooling, and automation - Camera driver experience (V4L2 or equivalent) - Deep familiarity with embedded interfaces: MIPI CSI-2, I²C, SPI, USB, interrupts - Comfortable reading schematics and datasheets Systems and concurrency - Interrupts, race conditions, memory constraints, real-time scheduling - RTOS concepts and multi-threaded embedded environments Strong plus - Qualcomm, NXP, or Ambarella BSP experience - SerDes driver integration - Hardware H.264 / H.265 encoder pipelines - Precise timing and synchronization (PTP, IEEE 1588) - High-bandwidth data acquisition - Sensor fusion and Kalman filter implementation - OTA infrastructure for deployed fleets - IoT telemetry stacks (MQTT, AWS IoT, Azure IoT Hub, or similar) - ROS, MCAP, or Foxglove About this role Deep systems work. Long hours in the lab during board bring-up. Drivers nobody has written for the silicon you're working with. Firmware that runs unattended on real users for full shifts — and gets updated remotely without ever recalling a device.

Location: China Workplace: OnSite ABOUT HUMAN ARCHIVE Human Archive is a research lab backed by Y Combinator focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. We're hiring a mechanical / CAD engineer to lead the mechanical design of our wearable capture hardware. Hands-on work where physics, optics, manufacturing, and human factors all converge. What you'll work on Mechanical architecture - Chassis design across consumer-grade and production-grade materials - Packaging, weight distribution, and human fit - Serviceability and assembly architecture Optical mount and alignment - Camera and lens mounting systems for multi-camera arrays - Tolerance stack-up against calibration accuracy targets - Kinematic alignment systems and bonded inserts Power and battery packaging - Battery enclosures including swap mechanisms - Connector layout and cable routing - Drop and impact resistance Thermal management - Passive thermal dissipation in tight wearable form factors - Heat spreader integration with chassis materials - Touch-temperature constraints against the user DFM and manufacturing handoff - Design for CNC, injection molding, sheet metal, and composite layup - Production drawings, GD&T, fixture design - Tolerance verification and first-article inspection Required technical experience - Hands-on mechanical CAD: SolidWorks, NX, Creo, or Fusion 360 - Shipped consumer or wearable hardware to real users - DFM fluency across CNC, injection molding, and sheet metal - Tolerance stack-up and GD&T for precision optical systems - Structural and thermal FEA Strong plus - Head-worn or body-worn product background (AR/VR, action cameras, sports tech, smart eyewear) - Composite chassis design (carbon fiber, cyanate ester matrix) - Multi-camera optical alignment - Direct work with Asian ODMs and tooling shops - Background in research-grade capture systems or medical wearables About this role You own mechanical design end-to-end. The product surface is broad, the pace is fast, and your work ends up on real users within months. Compensation reflects the stage. The autonomy reflects it too.

Location: Global ABOUT HUMAN ARCHIVE Human Archive is a research lab focused on modeling human embodied intelligence. Humans are the most sophisticated biological systems we have ever observed, yet we still do not fully understand ourselves. Research into human physical intelligence — including the human hand, proprioception, and vision — remains largely unsolved. Our mission is to recover human embodied intelligence as a learned model. To achieve this, we build custom hardware products, deploy them globally at scale, and publish research. Today, our data is used for robotics and world modeling, but the broader opportunity is advancing scientific research into intelligence itself. Founded by Stanford and UC Berkeley researchers, we are lean, deeply technical, and operate at extreme speed, taking on unglamorous and conventionally impossible problems that directly unlock step-function gains in model capability. The deployment of capable humanoids at scale will permanently redefine human labor. Undesirable physical work will disappear, and human effort will shift toward a new era of abundant creativity. We are building the infrastructure to accelerate that transition by assembling the Human Archive mafia. You will own meaningful systems from day one and see your work directly impact model capabilities. This is a once-in-a-generation inflection point. If you want to help reshape physical labor and work on problems that matter at civilizational scale, join us. THE OPPORTUNITY This role is ideal for someone early in their career (1–5 years of experience, or an exceptional dropout) who wants real operational ownership, not a rotational apprenticeship. You’ll work closely with the co-founders and Head of Operations in a high-trust role at the center of execution at Human Archive. As a Founding Operations Manager, you will own the end-to-end lifecycle of field operations globally, including sourcing and structuring partnerships to unlock access to real-world labor environments, deploying and supporting field teams, and ensuring clean data offload, audit, and closure. Your mandate is to turn site access into reliable, repeatable, high-velocity data collection, even in messy, real-world conditions. You will build and run core operating systems: coordinating site readiness, managing kits and logistics, leading large field teams during on-site execution, and enforcing post-site workflows that guarantee data quality and operational closure. This is a hands-on execution role: you’ll plan, but you’ll also be on the ground supporting field teams, unblocking hardware and deployment issues, tightening processes, and making sure things actually get done. WHAT YOU’LL DO - Source and manage deployment partnerships globally - Own field operations from site readiness through post-site closure - Lead field teams and ensure reliable execution during deployments - Run high-velocity data collection campaigns under real-world constraints - Work directly with sensing hardware, deployment kits, upload systems, and offloading workflows - Troubleshoot hardware, deployment, and operational issues in the field - Improve operational systems across deployments, audits, inventory, and payouts - Work closely with hardware, software, and operations teams during deployments WHAT WE’RE LOOKING FOR - Strong execution ability and willingness to take ownership in fast-moving environments - Ability to manage deployments and field teams under real-world constraints - Strong technical intuition and comfort working directly with hardware and operational tooling - Strong communication skills and ability to make decisions quickly with limited information - Highly resilient, resourceful, and comfortable solving difficult operational problems - Prior experience in operations, logistics, consulting, marketplaces, field work, or startups is a plus