Control Systems Engineer for AI Training

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. OpenTrain AI is recruiting a Control Systems Engineer contractor to contribute specialized engineering expertise to the development and evaluation of AI systems.

Create a free OpenTrain account to build your profile, show your experience, discover opportunities, and apply in minutes. OpenTrain helps contributors turn project work into a durable AI training portfolio.

• Remote contractor engagement
• Part-time schedule of 20+ hours per week
• Hourly pay of $30-$50 USD
• English-language work available in the listed countries

About AI Training and Data Labeling

AI training is the human side of building modern artificial intelligence. Experienced professionals help prepare examples, assess model behavior, and provide expert feedback so AI systems can perform more reliably in real-world settings.

In this project, your control engineering knowledge can help shape AI systems that reason about physical plants, controllers, and operating conditions beyond idealized simulation.

• Contribute to cutting-edge AI development
• Apply practical engineering judgment to model evaluation
• Work remotely with flexible project participation

The Control Systems Engineer Role

OpenTrain is seeking a Control Systems Engineer to provide expert input for AI training focused on real-world control solutions. You will help develop and assess robust controllers, physical plant models, and control strategies that reflect how systems operate beyond simulation.

The work spans classical and modern control methods applied to tangible platforms such as robotics, drones, automotive systems, and industrial hardware.

• Design and tune PID controllers
• Apply LQR, model predictive control, and Kalman filtering
• Develop control approaches for physical systems and hardware
• Analyze performance and iterate toward reliable real-world operation

What You'll Do

You will combine first-principles engineering, empirical validation, software development, and precise documentation to improve control strategies. The role requires clear technical reasoning and effective collaboration in a remote interdisciplinary environment.

• Develop plant models from first principles
• Validate models against empirical data using state-space and transfer-function approaches
• Implement, debug, and verify control algorithms in Python
• Use relevant open source tools such as python-control, SciPy, CasADi, do-mpc, Julia ControlSystems, or OpenModelica
• Identify system improvements and iterate on control solutions
• Document engineering decisions and control strategies
• Communicate effectively with remote interdisciplinary collaborators

Required Qualifications

Applicants must have a bachelor's degree or higher in Control, Electrical, Mechanical, Mechatronics, or Aerospace Engineering. The role also requires more than five years of hands-on controller design experience after completing the degree, including demonstrated deployment of controllers on real hardware.

• Experience designing PID controllers
• Experience with at least one modern control method, such as LQR, MPC, or Kalman filtering
• Ability to build and validate physical plant models using first-principles and data-driven methods
• Fluency in Python for control development, debugging, and validation
• Exceptional written and spoken English communication
• Ability to contribute at least 20 hours per week

Helpful Background

The following experience is valuable but is described as helpful rather than required. Advanced degrees are also welcome.

• Production MPC using do-mpc or CasADi
• Modelica or OpenModelica
• Julia
• System identification
• Embedded C or C++
• ROS
• Nonlinear, robust, or adaptive control
• Relevant publications or open source contributions

Why Work With OpenTrain

AI training and data-labeling work is one of the fastest-growing ways to work in tech, with projects that let specialists directly influence how advanced AI systems behave. OpenTrain gives you a place to build a credible profile, discover projects that match your expertise, and grow your work into a long-term portfolio.

Apply through OpenTrain to bring your control systems experience to AI training work involving real-world engineering challenges.

• Remote work with a flexible part-time schedule
• Opportunity to apply advanced control expertise to AI development
• A profile and portfolio that can support future AI training opportunities
• Free OpenTrain account creation