Job Description
At Crossing Hurdles, we work as a referral partner. We refer candidates to our client, which collaborates with the world’s leading AI research labs to build and train cutting-edge AI models. Position: Robotics & Mechatronics Engineering – AI Trainer Type: Contract (Part-time or Full-time, Remote) Compensation: Competitive (hourly / per task) Location: Remote Duration: Flexible, asynchronous Requirements: (Training support will be provided) • Strong professional experience in Robotics or Mechatronics Engineering • Strong expertise in embedded systems and real-time microcontroller programming • Hands-on experience with sensor integration, actuator control, and embedded firmware • Solid understanding of mechanical design, kinematics, dynamics, and robotic mechanisms • Proficiency in control systems including PID, state estimation, and model-based control • Experience with robotics programming languages such as Python, C++, or MATLAB • Familiarity with robotics simulation tools such as ROS, Gazebo, or Webots • Working knowledge of communication protocols including ROS, CAN, I2C, SPI, and PWM • Strong problem-solving skills with the ability to analyze complex electromechanical systems • Excellent written and verbal communication skills • Ability to work independently in a remote, collaborative environment • (Preferred) Experience designing technical curriculum, labs, or training content • (Preferred) Demonstrated passion for mentoring or teaching robotics concepts Role Responsibilities: • Evaluate and review AI-generated robotics and mechatronics content for technical accuracy • Translate real-world robotics engineering workflows into structured AI training scenarios • Design and develop practical exercises, project-based tasks, and real-world case studies • Guide AI training content related to control algorithms, motion planning, and automation • Create and validate examples involving microcontrollers, sensors, actuators, and embedded systems • Identify gaps, inaccuracies, or missing reasoning in AI-generated technical outputs and provide corrections • Collaborate with AI research teams to refine robotics content guidelines and best practices • Ensure all training materials align with industry standards and current advancements in robotics Application process: (Takes 7–30 mins) • Upload resume • AI interview (camera on, skill-based questions; coding for engineers) • Submit form Apply tot his job