Mechatronics Engineer | $100/hr Remote
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
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