Key Responsibilities
- Operate robotic arms and grippers through teleoperation systems to perform manipulation tasks such as picking, placing, assembling, sorting, or tool handling
- Capture synchronized robot-centric data (joint states, sensor feedback, camera feeds, gripper signals) during teleoperation sessions
- Ensure safety, accuracy, and repeatability across repeated trials and environments
- Monitor robot behavior and log operational outcomes, anomalies, and recovery data
- Collaborate with the engineering team to optimize teleoperation latency, control response, and data capture quality
- Maintain organized metadata logs (object type, tool, environment, success / failure outcome)
Egocentric Data Collection
Wear a VR headset to perform diverse real-world tasks (e.g., pick-and-place, open / close containers, use tools, sort, and assemble objects)Capture first-person (egocentric) visual and sensor data for pretraining and multimodal learningFollow task scripts and protocols to ensure consistency across environments and conditionsReview and annotate data capturedRobot Maintenance & Lab Support
Conduct mechanical and electrical maintenance on robots, robot arms, grippers, and sensorsAssist in setting up new robot workcells : mechanical mounting, cabling, calibration, and safety verificationTroubleshoot connectivity and hardware issuesKeep the workspace organized and ensure compliance with safety standardsRequirements
Diploma or above in Mechatronics, Robotics, Mechanical, or Electrical Engineering (or equivalent experience)Hands‑on experience with robotic arms, teleoperation systems, or automation equipmentComfortable working with tools, sensors, and mechanical fixturesStrong hand‑eye coordination, spatial reasoning, and attention to detailPhysically capable of performing manual manipulation tasks and wearing a VR headset for extended sessionsMethodical, safety‑conscious, and motivated to work in a fast‑paced, experimental environmentPreferred Experience
Basic knowledge of ROS / ROS 2, Linux (Ubuntu), and hardware communication (CAN bus, serial, Ethernet)Experience in robot data collection, motion capture, or human‑in‑the‑loop controlFamiliarity with AI / robotics research pipelines or foundation‑model trainingCompetence in debugging sensors, cameras, or actuator control systemsUnderstanding of synchronization and calibration across multi‑sensor setupsHybrid of lab‑based and onsite workplace operations across industrial, office, and service environmentsRequires wearing a VR headset for egocentric sessions (a few hours per session)Why Join Cortex
Work directly on the frontier of physical AI — where human action and robotic intelligence convergeYour data will train world and robotics foundation models used by leading labs and companiesCollaborate with a team of high energy and enthusiastic engineers and roboticistsHands‑on experience with state‑of‑the‑art teleoperation rigs, VR capture systems and multi‑sensor robotsClear growth path into robot operations leadership, integration, or research engineeringHow to Apply
Send your CV and any robotics or VR project videos to
@cortexrobot.ai .#J-18808-Ljbffr