---
title: 'Senior data collection operator (FR) at Genesis'
canonical: 'https://feeny.ai/job/senior-data-collection-operator-fr-genesis-paris-qa21fcj60htg'
type: 'job'
last_seen: '2026-10-15'
---

# Senior data collection operator (FR) at Genesis

- **Company:** Genesis
- **Location:** Paris, France
- **Employment:** full-time
- **Work type:** hybrid
- **Posted:** 2026-09-25
- **Last confirmed live:** 2026-10-15
- **Apply:** https://jobs.ashbyhq.com/genesis/f254546b-b07e-404f-9a9a-7fa28de0bb59

## Job description

## About Genesis

We are a full-stack general-purpose robot company, born across San Francisco, London and Paris and bound by a single mission: to make general-purpose robots a reality, unlocking infinite physical labor for the world and freeing people for creativity, exploration and the pursuits they love for their own sake. We're building the engine that will teach robots to do real work in the real world. We recently unveiled Eno, our wheeled, dexterous robot powered by our GENE foundation model and we are starting to put it to work with real customers.

## The role

General-purpose robots learn from real, dexterous human work, the kind of data that does not exist on the internet. We capture it with our own collection hardware: a person wears it, does the work, and the robot learns to do it too. You will be a senior member of the team scaling our data collection operation in Paris, working closely with our Paris research and engineering teams and with the operation in the Bay Area. You will help lead the day-to-day execution and quality bar on the Paris floor while remaining deeply hands-on with data collection, teleoperation, task setup, and real-robot testing. You will wear our gloves and cameras, teleoperate our hardware, and take ownership of complex collection requests from setup through execution and quality review. You will work shoulder to shoulder with our model engineering and research teams, turning their requests into physical demonstrations and feeding what you learn on the floor back to them. You will be expected to operate autonomously, help guide and train other operators and contribute to how the Paris operation evolves as the team grows. This is a hands-on leadership role. You will not just run existing tasks: you will help shape how they are executed, how quality is measured, and how other operators are trained to deliver consistently.

## What you will do

- Help lead the Paris data collection floor. Set the execution and quality bar for day-to-day collection work and help the team scale effectively.
- Own complex collection setups. Take a loosely defined request and turn it into a working, repeatable collection task, including the setup, fixtures, props, environment, and procedure, with minimal support from engineering.
- Create high-quality training data. Wear our gloves and cameras, teleoperate our hardware, and produce precise demonstrations that can be used to train our models.
- Own the full collection workflow. Go beyond collecting the data itself: review and quality-check your work, identify unusable episodes, support annotation, and help ensure that what reaches research is trainable data.
- Build repeatable tasks. Turn new collection requests into clear, repeatable processes that can be executed consistently by other operators.
- Partner with research and model engineering. Translate their requests into physical collection tasks, share observations from the floor, and iterate with them on setups and collection strategy.
- Improve the operation. Identify when a fixture, station layout, procedure, or collection method can be improved and proactively help implement those improvements.
- Write and improve the playbook. Own SOPs, quality checks, and training materials that allow the Paris operation to scale while maintaining a consistent quality bar.
- Guide other operators. Help onboard, train, and mentor operators and reinforce consistent execution across the team.
- Run real-robot testing. Partner with reliability and engineering teams to test robots on the floor, document what you observe, and help surface issues.
- Own quality. Review your own work and the team's, take direct feedback, and keep raising the bar.

## What we are looking for

- You have done precise, repetitive physical work to a high quality bar and can explain what made your work good and how you measured it. This could include data collection, teleoperation, motion capture, robotics lab work, assembly, fine craft, or another hands-on technical environment.
- Hands-on robot or glove-based data collection experience is a strong plus, but not a requirement. This kind of data collection is new, and we will teach you our specific tools and approach.
- You build, not just run. Give you a vague request and a scrappy setup, and you can turn it into a clean, repeatable task with the right fixtures, environment, process, and written procedure.
- You can operate autonomously. You are comfortable taking ownership of complex collection tasks with limited day-to-day support from engineering.
- You understand quality beyond collection. You can review your work, recognize when collected data is unusable or below the quality bar, and understand why.
- You are ready to lead. You have trained, mentored, or led others doing hands-on work and want to help establish the execution and quality standard for a growing team.
- You work well with research and engineering teams. You can translate their requests into physical collection tasks and turn what you observe during collection into useful feedback.
- You have exceptional attention to detail. You notice the moment something about the setup, hardware, environment, procedure, or collected data is off.
- You are technically handy. You are comfortable with Linux, some Python scripting to automate repetitive work, and hardware assembly and troubleshooting.
- You are comfortable in a fast-moving environment. Hardware, processes, and collection methods will evolve quickly, and you are comfortable adapting while helping improve how the team works.
- You communicate well in English. You will work daily with teams in Paris and the Bay Area across time zones. French is a plus.
- Bonus: reliability testing. You have partnered with a reliability or test team on real-robot testing.

Working conditions and role constraints

- Work takes place in production environments and technical laboratories.
- Prolonged standing and repetitive hand and arm movements while wearing collection equipment, including gloves, head-mounted cameras, and headsets, for extended periods.
- Handling and lifting of loads, including props, fixtures, robot equipment, and station equipment, up to 23 kg for station setup and reconfiguration.

## Why this role

- Real ownership. You will have meaningful ownership over how the Paris data collection floor operates and help set the standard the team grows toward.
- Hands-on leadership. You will remain close to the work while helping guide other operators, improve execution, and raise the quality bar.
- Build, not just execute. You will take ambiguous collection needs and turn them into reliable, repeatable tasks that can scale across the team.
- A clear growth path. As the operation scales, this role can grow toward leading or supervising teams of operators or toward broader project and program management responsibilities.
- The front line of the mission. The data you create, review, and improve is what teaches our robots to work.

## About Genesis

## Company Overview
- **One-liner**: Genesis AI is a full-stack robotics company building general-purpose robots with human-level dexterity and intelligence, powered by its own foundation model and hardware.
- **Entity Type**: Private (Seed stage – $105M raised)
- **Headquarters**: Paris, France (with offices in the San Francisco Bay Area and London)
- **Founded**: 2024 (emerged from stealth in July 2025)
- **Founders**: Zhou Xian (CEO), Théophile Gervet (President & Co-founder), Yi-Ling Qiao (Co-founder), Tsun-Hsuan Wang (Co-founder)

## Core Business
- **Primary industry**: Robotics Engineering / General-Purpose Robotics
- **Target customers**: Enterprises in manufacturing, laboratories, hospitals, and logistics; future expansion into homes.
- **Mission**: “Build the world’s most capable robots that unlock new possibilities for humans.”

## Products & Services
- **Eno (General-Purpose Robot)**: A full-body robot designed to operate reliably in factories, labs, hospitals, and homes. Driven by the GENE foundation model, it features 20 active, back-drivable degrees of freedom in its hands – matching human size and dexterity.
- **GENE-26.5 (Foundation Model)**: The AI model that powers Eno. It understands goals, reasons through changing conditions, and completes tasks end-to-end. Trained on massive human-based internet video data and proprietary simulation.
- **Data Collection Glove**: A lightweight, sensor-loaded glove worn by humans to collect high-quality manipulation data in real-world settings (e.g., lab technicians, manufacturing workers). This glove bridges the “embodiment gap” and feeds the model with human skill data.
- **Simulation System**: A proprietary simulation environment that accelerates model training and evaluation, reducing the iteration bottleneck.

## Market Standing
- **Valuation**: Not disclosed
- **Key Metric**: Total funding of **$105M** (Seed round, July 2025)
- **Notable Investors/Partners**: Eclipse (co-lead), Khosla Ventures (co-lead), Bpifrance, HSG; individual investors Eric Schmidt, Xavier Niel, Daniela Rus, Vladlen Koltun. Hardware manufacturing partner: Wuji Tech (China).
- **Growth Signals**:
  - Headcount grew from stealth to ~53–60 employees across Paris, Bay Area, and London (monthly growth +16% on LinkedIn).
  - 29 active job postings as of mid-2026, with a +262.5% monthly increase in openings.
  - Demonstrated a wide range of manipulation tasks (cooking, piano, Rubik’s cube, lab work) in public demos.
  - In talks with multiple customers for commercial deployment in pharma and manufacturing.

## Competitive Advantages
- **Full-stack integration**: Genesis controls both the AI model and the robotic hardware, enabling tighter optimization and faster iteration than companies that only do software or hardware.
- **Human-like dexterity**: The robotic hand matches human size, shape, and 20 degrees of freedom, allowing direct transfer of human demonstration data without an “embodiment gap.”
- **Data flywheel**: The combination of a low-friction data collection glove, simulation, and egocentric video creates a scalable pipeline for building a “human skill library.”
- **World-class team**: Founders and early engineers have backgrounds from Mistral AI, NVIDIA, Google DeepMind, Apple Intelligence, Unity, Epic, and leading robotics labs (Berkeley, CMU).

## Strategic Focus
- **Go full stack**: Continue integrating model, hardware, and data collection to deliver a complete general-purpose robot.
- **Commercial rollout**: Target early customers in pharmaceutical labs, manufacturing, and other industrial settings where dexterous manipulation is critical.
- **Scale data collection**: Expand the use of the data glove (both internally and with third-party partners) to rapidly grow the model’s skill repertoire.
- **Global hiring**: Aggressively grow the team across Paris, Bay Area, and London, especially in ML, simulation, rendering, and robotics engineering.

## Why Work Here
- **Culture**: Values include candor, responsibility, limitless ambition, and a joyful journey. The team is described as multicultural, optimistic, and pragmatic.
- **Work model**: Hybrid/office-based presence in Paris, San Francisco Bay Area, and London. No explicit remote policy mentioned, but the company emphasizes in-person collaboration.
- **Engineering culture**: Builders get to work on the hardest problems in robotics and AI – from foundation models to hardware design to data systems. The team includes pioneers of generative simulation, Diffusion Policy, and GPU compilers.
- **Notable perks**: The chance to shape a category-defining general-purpose robot; close collaboration with world-class investors and advisors; fast-growing startup with significant resources ($105M seed).

## Sources
1. [Genesis AI – Official Website](https://www.genesis.ai/)
2. [Genesis AI – Careers Page](https://www.genesis.ai/careers)
3. [TechCrunch – “Khosla-backed robotics startup Genesis AI has gone full stack, demo shows”](https://techcrunch.com/2026/05/06/khosla-backed-robotics-startup-genesis-ai-has-gone-full-stack-demo-shows/)
4. [LinkedIn – Genesis AI Company Profile](https://www.linkedin.com/company/gs-ai)
5. [robotics.press – Genesis AI Company Profile](https://robotics.press/news/genesis-ai-company-profile/)

## Other roles at Genesis

- [Deployment Program and Operation Manager](https://feeny.ai/job/deployment-program-and-operation-manager-genesis-bay-area-xmzss081bqff) — Bay Area
- [Deployment Solution Engineer](https://feeny.ai/job/deployment-solution-engineer-genesis-bay-area-wv4ta5ey03tv) — Bay Area
- [Senior Manager, Manufacturing Engineering (Robot Production)](https://feeny.ai/job/senior-manager-manufacturing-engineering-robot-production-genesis-bay-area-fb8wzxq4xxz5) — Bay Area
- [Logistics and Kitting Specialist](https://feeny.ai/job/logistics-and-kitting-specialist-genesis-bay-area-8vsqewv3w5ah) — Bay Area
- [Lead Robotics Technician](https://feeny.ai/job/lead-robotics-technician-genesis-bay-area-r6k23k0q9706) — Bay Area
- [Senior Manager, Supply Chain (Robot Production)](https://feeny.ai/job/senior-manager-supply-chain-robot-production-genesis-bay-area-jy23be6dyq6w) — Bay Area
- [Data Annotation Specialist, Physical AI](https://feeny.ai/job/data-annotation-specialist-physical-ai-genesis-bay-area-wv5vnm6x90zm) — Bay Area
- [Senior Technical Program Manager (Paris,France)](https://feeny.ai/job/senior-technical-program-manager-paris-france-genesis-paris-hjmm878g1fgj) — Paris, France
- [Technical Product Manager (FR)](https://feeny.ai/job/technical-product-manager-fr-genesis-paris-y4w5wkh4fs8n) — Paris, France
- [Member of Technical Staff, IT](https://feeny.ai/job/member-of-technical-staff-it-genesis-bay-area-qb6y7h7zj4pp) — Bay Area