---
title: 'Robot Operator at AMI'
canonical: 'https://feeny.ai/job/robot-operator-ami-new-york-758vv7574zc5'
type: 'job'
last_seen: '2026-11-07'
---

# Robot Operator at AMI

- **Company:** AMI
- **Location:** New York, NY
- **Employment:** full-time
- **Work type:** onsite
- **Posted:** 2026-11-05
- **Last confirmed live:** 2026-11-07
- **Apply:** https://jobs.ashbyhq.com/ami/51fb97ed-e0fc-4702-ba02-c2c916e1b7fe

## Job description

## About AMI

We are building a new breed of AI systems that (1) understand the real world, (2) have persistent memory, (3) can reason and plan, and (4) are controllable and safe. We are a team of scientists and engineers building frontier world model-based AI. We combine the scientific rigor of a top-tier research institute with focus on engineering excellence and execution. We are a global company, with offices in Paris, Montreal, New York, and Singapore. Come build the future of AI with us!

## What you'll do

Model and algorithm evaluation

- Arrange objects and scenes in exact, specified configurations so that test runs are comparable.
- Launch our algorithms on the robots following written instructions, and watch each run closely.
- Record outcomes (success, failure, partial), timings and anything unusual, accurately and consistently.
- Reset the scene and repeat across many trials and variations.

Data collection

- Teleoperate robots through tasks such as picking, placing, sorting, stacking, opening containers, tool use and simple assembly, using leader–follower arms, VR or motion-tracking rigs, gamepads or keyboard interfaces.
- Run scripted or programmatic data collection where the robot is driven by code rather than by hand.
- Introduce requested variations in objects, positions, lighting and task order while keeping your technique consistent.
- Meet daily targets for data volume without compromising quality or safety.

Data annotation and review

- Review recorded episodes and mark them as successful, failed or invalid and assign rewards.
- Label task phases, outcomes and failure reasons using our annotation tools.
- Write clear operator notes so researchers understand what happened in each run.

Lab operations and safety

- Start up, calibrate, inspect, reset and shut down robots, cameras and operator stations using documented procedures.
- Spot unusual robot behavior, hardware faults or software issues, stop work when something looks unsafe, and report problems clearly enough for an engineer to reproduce them.
- Keep stations, objects and shared spaces organized and inventoried.
- Test new tasks, hardware and tools, and suggest improvements to our procedures.

## What we're looking for

- Strong communication skills
- Ability to come up with creative solutions
- Meticulous attention to detail and the ability to follow written instructions exactly.
- Strong hand–eye coordination, manual dexterity and spatial awareness.
- Ability to learn new physical control systems quickly.
- Comfort with repetitive, precision-focused work, and the focus to keep quality consistent over a full shift.
- Clear written and verbal communication, especially when describing what went wrong.
- Basic computer skills: running programs from instructions, using spreadsheets, video review and data-entry tools.
- Comfort with a Linux terminal, basic Python, or running scripts.
- Sound safety judgment, including the willingness to stop a robot when something looks off.
- Reliability and punctuality for scheduled shifts.

## Nice to have

- Hands-on experience with robot arms, mobile robots or automation equipment.
- Basic hardware troubleshooting: cables, cameras, networking, power.
- Background in lab, manufacturing, assembly, fulfillment or quality-control work.
- Gaming, VR/AR, simulation, motion capture or other controller-based experience.
- Data annotation, AI training operations or structured video review.
- Comfort with a Linux terminal, basic Python, or running scripts.
- An interest in AI and robotics research.

This is a full-time, in-office role with a 40-hour workweek. Starting pay is $25 per hour.

## About AMI

## Core Business
- Primary industry: AI research and development, with a focus on world models for real-world understanding.
- Target customers: B2B enterprises in industrial process control, automation, robotics, healthcare, and wearable devices; also partners with industry and academic researchers.
- Mission: “Real intelligence does not start in language. It starts in the world.” – Build AI systems that are reliable, controllable, and safe by learning abstract representations of real-world sensor data.

## Products & Services
- **World Models**: Action-conditioned AI models that learn abstract representations of continuous, high-dimensional sensor data (e.g., cameras, sensors) and predict consequences of actions. Used for planning, control, and safety in industrial automation, robotics, healthcare, and wearables.
- **Research & Open Source**: Publishes findings openly and contributes to the global academic community; aims to advance AI research with a focus on reliability and safety.

## Market Standing
- **Valuation/Market Cap**: Not disclosed (private company).
- **Key Metric**: Total funding of $1.03B USD (~€890M) in a single seed round (closed February 2026).
- **Notable Investors/Partners**: Co-led by Cathay Innovation, Greycroft, Hiro Capital, HV Capital, and Bezos Expeditions. Strategic backers include Toyota Ventures, New Legacy Ventures, Temasek, SBVA, NVIDIA, Mark Cuban, Samsung, Publicis Groupe, Xavier Niel, Eric Schmidt, and others.
- **Growth Signals**: Headcount of 54 employees (as of mid-2026) with monthly growth of +24.6%. Recruiting across multiple continents (Paris, New York, Montreal, Singapore). Talented team sourced from Meta, ByteDance, OpenAI, NYU, and others.

## Competitive Advantages
- **Founding Team**: Led by Yann LeCun (former Chief AI Scientist at Meta) and a globally distinguished group of scientists and engineers.
- **Unique Technical Approach**: Focuses on world models rather than generative language models, targeting reliability and safety for real-world applications.
- **Massive Seed Round**: $1.03B provides deep resources for long-term research and scaling without near-term revenue pressure.
- **Global Presence**: Operating from day one across four major AI hubs (Paris, NY, Montreal, Singapore) with a multicultural team.

## Strategic Focus
- Advance world model research and develop applications where safety and controllability are critical.
- Build partnerships with industry and product developers while maintaining open publications and open-source contributions.
- Scale the team rapidly across research, engineering, and operations.

## Why Work Here
- **Culture**: Frontier AI research lab with a mission-driven focus on real-world intelligence; emphasis on open science and collaboration.
- **Remote/Hybrid/Office**: Hybrid presence in four global locations; likely flexible given the distributed setup.
- **Notable Perks**: Work alongside world-renowned researchers (Yann LeCun, Pascale Fung, Saining Xie), access to massive compute and funding, opportunity to shape a new paradigm in AI.
- **Engineering Culture**: Strong research-to-engineering pipeline; roles span world models, infrastructure, and applied AI.

## Sources
1. [amilabs.xyz](https://amilabs.xyz/)
2. [LinkedIn – AMI](https://www.linkedin.com/company/amilabs-xyz)
3. [AMI Careers](https://jobs.ashbyhq.com/ami)
4. [AMI Updates](https://amilabs.xyz/updates)

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