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Teleoperation Jobs (NOW HIRING)

You will work hands-on across robot operations, teleoperation, networking, and fleet tooling - integrating and validating subsystems, driving root-cause analysis with development teams, hardening ...

Key job responsibilities - Develop and maintain our Meta Quest applications built in Unity for XR teleoperation and data collection - Write production-quality C# in an event-driven, well-structured ...

Key job responsibilities - Develop and maintain our Meta Quest applications built in Unity for XR teleoperation and data collection - Write production-quality C# in an event-driven, well-structured ...

You will operate at the intersection of robotics, machine learning, and human-in-the-loop systems, building the infrastructure and methodologies that connect teleoperation, evaluation, and learning.

You will operate at the intersection of robotics, machine learning, and human-in-the-loop systems, building the infrastructure and methodologies that connect teleoperation, evaluation, and learning.

This role is dedicated to architecting robust motion data pipelines-integrating diverse sources like mocap, game engines (like Unreal or Unity), teleoperation, and generative AI motion models to ...

Key job responsibilities - Develop and maintain our Meta Quest applications built in Unity for XR teleoperation and data collection - Write production-quality C# in an event-driven, well-structured ...

You will operate at the intersection of robotics, machine learning, and human-in-the-loop systems, building the infrastructure and methodologies that connect teleoperation, evaluation, and learning.

You will operate at the intersection of robotics, machine learning, and human-in-the-loop systems, building the infrastructure and methodologies that connect teleoperation, evaluation, and learning.

Lead Technical Product Manager - Data

San Carlos, CA · On-site

$201K - $233K/yr

Responsibilities : • Raise the quality of data coming in - Drive measurable improvements in the quality and diversity of data feeding world model training across teleoperation, fleet (NEO), and ...

Mechanical Design Engineer

San Mateo, CA

$86K - $117K/yr

Position Overview We are looking for Mechanical Design Engineers to create and fabricate robotic systems for teleoperation, human-robot interaction and data collection. You will be responsible for ...

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Teleoperation information

What are the key skills and qualifications needed to thrive in the Teleoperation position, and why are they important?

To thrive in Teleoperation, you need excellent spatial awareness, hand-eye coordination, and proficiency in operating remote-control systems, often supported by relevant technical training or certifications. Familiarity with teleoperation platforms, robotics interfaces, and communication software is typically required. Strong problem-solving skills, attention to detail, and effective communication help operators adapt to dynamic situations and collaborate with remote teams. These abilities are essential to ensure safe, precise, and reliable remote operation across various industries such as robotics, transportation, and logistics.

What are typical daily responsibilities for someone working in Teleoperation?

A teleoperation professional is primarily responsible for remotely operating vehicles, machinery, or robotic equipment, often monitoring system dashboards and responding to live feedback in real time. Daily tasks may include troubleshooting technical issues, coordinating with on-site teams, following strict safety protocols, and maintaining detailed operational logs. Many positions involve shift work to provide around-the-clock support, especially in sectors such as logistics, mining, or transportation. Collaboration with engineers, maintenance crews, and supervisors is also common to ensure optimal performance and rapid issue resolution. This dynamic environment requires keen attention to detail and the ability to respond calmly to unexpected challenges.

What is a Teleoperation job?

A teleoperation job involves remotely controlling machines, robots, or vehicles in real-time using specialized software and hardware. Operators typically work with autonomous or semi-autonomous systems to ensure they perform tasks accurately and safely. These roles are common in industries like autonomous vehicles, robotics, and industrial automation. Strong technical skills, attention to detail, and the ability to react quickly to changing situations are essential for success in this field.

More about Teleoperation jobs
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What states have the most Teleoperation jobs? States with the most job openings for Teleoperation jobs include:

Senior / Staff AI Research Engineer, Data Infrastructure

RoboForce

Milpitas, CA • On-site

$126K - $171K/yr

Full-time

Medical, Dental, Vision, Retirement

Re-posted 9 days ago


Job description

Why RoboForce
RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.
We are looking for a Senior / Staff AI Research Engineer, Data Infrastructure to build the data and learning engine behind RoboForce's Physical AI stack. In this role, you will own the full pipeline - from raw teleoperation and UMI device data collection through curation, annotation, and storage, to post-training infrastructure that scores demonstrations, identifies failure patterns, and closes the loop back into model retraining.
Responsibilities
  • Design and maintain end-to-end data collection pipelines ingesting multimodal demonstration data from teleoperation devices and UMI hardware, including synchronization, versioning, and distributed storage at scale.
  • Build annotation tooling and data curation workflows - quality filtering, deduplication, episode scoring, and domain reweighting - to produce high-quality training datasets for robot policy learning.
  • Develop post-SFT reinforcement learning infrastructure: implement reward scoring on demonstrations, mine and categorize failure patterns, and feed curated failure data back into the retraining loop.
  • Build evaluation and test infrastructure to log policy rollouts on-robot, capture structured results, and surface actionable diagnostics for the research team.
  • Collaborate with ML researchers to define data schemas, episode formats, and pipeline interfaces that support rapid iteration on VLA and manipulation policy training.
  • Architect scalable storage and retrieval systems for heterogeneous robot data (vision, proprioception, action, language) across both cloud and on-prem environments.

Requirements
  • Bachelor's or Master's degree in Computer Science, Robotics, or related field with 5+ years of experience.
  • Strong proficiency in Python and experience building production-grade data pipelines and ETL systems.
  • Hands-on experience with large-scale dataset management, including versioning, deduplication, quality filtering, and distributed storage (e.g., S3, GCS, HDF5, WebDataset, Zarr).
  • Experience building or working with post-training infrastructure - SFT pipelines, reward modeling, or RL training loops (e.g., PPO, DPO, rejection sampling).
  • Familiarity with deep learning frameworks (PyTorch, JAX) and ML training workflows sufficient to collaborate tightly with research teams.
  • Requires 5 days/week in-office collaboration with the teams.

Bonus Qualifications
  • Experience with robotics data collection hardware - teleoperation devices, UMI, GELLO, or similar - and the synchronization and preprocessing challenges they introduce.
  • Familiarity with robot learning pipelines: imitation learning, behavior cloning, or VLA/VLM fine-tuning workflows.
  • Experience building evaluation or experiment tracking infrastructure (e.g., Weights & Biases, MLflow, custom rollout loggers).
  • Proven ability to design annotation tooling or human-in-the-loop labeling systems for structured or multimodal data.

Benefits
  • Competitive stock options/equity programs.
  • Health, dental, and vision insurance, 401(k) plan.
  • Visa sponsorship and green card support for qualified candidates.
  • Lunches and dinners, a fully stocked kitchen, and regular team-building events.