Roboforce Model Evaluation Operator responsible for executing robotic model evaluation workflows and collecting operational data to improve AI models. Perform hands-on tasks with robotic systems in lab and industrial environments.
Responsibilities
Execute closed-loop robotic model evaluation workflows in real-world environments.
Perform robotic manipulation and operational tasks with high consistency and accuracy.
Closely observe and document robot behavior, model performance, task failures, recovery behavior, and edge cases in detail.
Maintain accurate evaluation logs, notes, annotations, and performance records for engineering review.
Identify and report inconsistencies, failure patterns, safety risks, and unexpected robot behaviors.
Follow structured workflows for setup, execution, reset, troubleshooting, and evaluation procedures.
Capture, organize, and annotate operational data to support AI model training and validation.
Run Linux command-line tools and basic scripts for workflow execution and system operation.
Assist with hardware setup, calibration, and maintaining stable robot operation.
Collaborate with engineers and researchers to improve model evaluation quality and operational efficiency.
Maintain lab organization, operational discipline, and safety standards.
Physical Requirements & Work Schedule
Qualification
Associate degreeReliableInterest in roboticsBonus Qualifications
Required
Associate degree, Bachelor’s degree, technical certification, or equivalent hands-on experience in Robotics, Engineering, Computer Science, or related technical fields.
Comfortable working with physical robotic hardware in a lab or industrial environment.
Strong attention to detail and ability to carefully observe and document system behavior.
Ability to stay focused and maintain quality during repetitive technical tasks over extended periods.
Strong sense of operational consistency and process discipline.
Basic familiarity with Linux command-line tools.
Some exposure to Python or scripting tools (does not need to be advanced).
Good troubleshooting and problem-solving mindset.
Strong hand-eye coordination and spatial awareness.
Reliable, patient, and comfortable working in iterative testing environments.
Interest in robotics, AI systems, or real-world automation.
