Even the most advanced robotaxis still need human help from behind a computer screen, and now there's an official playbook for training those remote operators. The Automated Vehicle Safety Consortium at SAE International published new best practices this week for teaching remote assistance operators how to monitor and guide Level 4 and Level 5 autonomous vehicles when they encounter situations their onboard systems can't handle alone.

What Do Remote Robotaxi Operators Actually Do?

Remote operators don't steer vehicles through the internet or take over control like a video game. Instead, they monitor deployed vehicles from a workstation and help them make decisions when the autonomous driving system is uncertain, such as choosing the correct lane or accepting a suggested path. Think of them as a safety net for edge cases, not a replacement driver.

The work requires a specific skill set that goes beyond traditional driving knowledge. Operators need to understand the rules of the road in the jurisdiction where the vehicle operates, including dynamic signage and lane markings. They also need deep familiarity with how the autonomous driving system works, from its sensor suite to its decision-making process, and any company-specific implementation details.

Do Remote Operators Need a Driver's License?

One of the most surprising recommendations in SAE's guidance is that remote operators don't necessarily need to hold a valid driver's license. This makes sense because what they're doing isn't driving in the traditional sense. However, the guidance acknowledges that individual companies can choose to require operators to be licensed and maintain a clean driving record if they prefer.

The distinction matters because it opens the door to a broader pool of candidates who understand traffic rules and vehicle systems but may not have extensive behind-the-wheel experience. The focus shifts from driving ability to decision-making ability under pressure.

How to Train Remote Robotaxi Operators Effectively

• Simulator-Based Training: SAE encourages companies to use computer-based simulators to train and assess potential operators, running through both hypothetical scenarios and real-world examples to prepare them for actual situations they'll encounter on the job.
• System Knowledge Curriculum: Operators must receive comprehensive training on the autonomous driving system they'll be monitoring, including how sensors collect data, how the vehicle makes decisions, and how to interpret the visualizations and camera feeds displayed at their workstation.
• Continuous Retraining Programs: The guidance recommends ongoing retraining to keep skills sharp, teach new features or interface changes, and ensure operators stay current as the technology evolves.
• Cognitive Workload Management: Training should address both stress from high-pressure decisions and boredom from long periods without necessary inputs, teaching operators to recognize when their performance is declining and giving them penalty-free ways to request breaks.

The workstation environment itself requires careful design. Unlike traditional drivers who face inattention detection through jerky inputs or eye-tracking, remote operators face the opposite problem: cognitive underload from insufficient inputs during quiet periods. Companies need to structure workflows and communication protocols to keep operators engaged and alert.

Workload varies depending on company structure. Some autonomous vehicle operators handle not just vehicle guidance but also communication with passengers, pedestrians, and first responders, requiring companies to carefully balance customer service and decision-making responsibilities.

The SAE guidance represents an attempt to standardize practices across an industry that has grown rapidly without formal training standards. While many of the recommendations are common sense, having them documented and shared throughout the industry could prompt greater transparency from companies like Waymo and Zoox about how their remote operators are trained and perform their jobs. As robotaxi fleets expand, the person behind the curtain becomes increasingly important to public safety and passenger confidence.