Robotics Data Collection Lead (Teleoperation)

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Summary

Location

Palo Alto, United States

Salary

$50/hour

Work

Contract

Experience

Lead

About this Job

Project Details:

  • Location: 100% onsite, Palo Alto,
  • Employment Type: Full-time, contract
  • Working hours: 8 hours/day, 5 days a week
  • Duration: Minimum 2-week with potential extension through year-end and beyond
  • Compensation: US$50/hour

Overview

  • Lead onsite data collection for a pilot using I2RT YAM bimanual robotic arms. Oversee daily workflows, coach operators, ensure data quality and safety, troubleshoot issues, and help refine SOPs as operations scale from 2 to 4–8 stations.

Key responsibilities

  • Own daily run plans, station readiness, and output targets across stations.
  • Coach teleoperators/HRI partners; conduct training refreshers and spot checks.
  • Enforce SOPs and safety; drive continuous improvements to procedures and checklists.
  • Monitor sessions for quality; perform first-level troubleshooting and escalate as needed.
  • Coordinate with client engineering/research teams; communicate blockers, risks, and needs.
  • Maintain logs, metrics, and daily reports; manage inventory of props, sensors, consumables.
  • Support pilot-to-scale planning (staffing, scheduling, station setup).

Qualifications

  • Hands-on experience leading robotic teleoperation or HRI data collection.
  • Strong troubleshooting across hardware, software, and process (ROS/Linux familiarity a plus).
  • Proven ability to run day-to-day lab operations and coach for consistency and quality.
  • Excellent communication, documentation, and stakeholder coordination.
  • Comfortable with repetitive workflows, tight schedules, and safety-first practices.
  • Ability to stand for extended periods and lift/move up to ~30 lbs.

Nice-to-have

  • Experience with I2RT YAM or similar bimanual platforms.
  • ROS, Linux, basic Python, or data QA tooling experience.
  • SOP writing, process engineering, or lab management background.

About the Company

Welo Data logo

Welo Data

Privately Held
Robotics Software & AI

Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale. Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide.

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