AI training contract
Control System Engineer
Engineering · USD 30-50 an hour. · 10 openings
Control System Engineer is contract work for micro1, reviewing and correcting what AI models produce in engineering. The output of the job is expert judgement written down: a model gives an answer, someone who knows the subject decides whether it is right and explains why.
What it requires. This role is gated on phd or academic credential. Applications without it are not considered, and the requirement is stated here because the original advert usually carries it well below the rate.
What it pays. USD 30 to USD 50 an hour, as published by micro1. Rates in this category track how rare the credential is rather than how hard the work is.
Where. The listing says this role is remote and names no country. micro1 says it hires talent from around the world, except people who reside in Afghanistan, Belarus, China, Cuba, Democratic Republic of the Congo, Hong Kong, Iran, Iraq, Libya, Macao, Myanmar, North Korea, Russian Federation, Somalia, South Sudan, Sudan, Syria, Venezuela, Ukraine, and Yemen. So this page lists every other country as eligible, on the strength of that rule and not of anything this listing says. Requirements can still differ by role, so check the application page on micro1 before you apply.
micro1 lists 10 openings on this role.
Skills named: PID, controller design, Plant modelling, Real system deployment.
Applications are made on micro1, not here. WFA Digital is independent of micro1 and may receive a referral fee if you are hired, at no cost to you.
Full listing, as published by micro1
Role Title: Control System Engineer Role Type: Contractor Location: Remote micro1 is engaging Control System Engineers to contribute their advanced technical expertise to an exciting customer project focused on real-world control solutions. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. This opportunity is ideal for professionals passionate about shipping robust controllers, modeling complex plants, and applying both classical and modern control strategies in tangible environments. Scope of Work Design and tune PID and advanced controllers (e.g., LQR, MPC, Kalman Filters) for deployment on physical systems such as robotics, drones, automotive, or industrial hardware. Develop plant models from first principles and validate them against empirical data using state-space and transfer function methodologies. Implement and verify control algorithms in Python using open source toolkits (e.g., python-control, SciPy, CasADi, do-mpc, Julia ControlSystems, OpenModelica). Document engineering decisions and control strategies with clear, high-quality written communication, and engage in effective verbal discussions as required. Analyze system performance, identify areas for improvement, and iterate on design for optimal real-world operation. Collaborate remotely with interdisciplinary contributors while maintaining autonomy and technical independence. Preferred Qualifications Bachelor’s degree (or higher) in Control, Electrical, Mechanical, Mechatronics, or Aerospace Engineering. Over 5 years of hands-on controller design experience post-degree, with proven real system deployment (not simulation-only). Proficiency in building and validating physical plant models using first principles and data-driven methods. Demonstrated delivery of both classical (PID) and at least one modern control method (LQR, MPC, or Kalman) on real hardware. Fluency in Python for control code development, debugging, and validation using open source stacks. Exceptional written and verbal English communication skills, focused on clarity and precision. Additional strengths such as a Master’s or PhD, production MPC with tools like do-mpc or CasADi, Modelica/OpenModelica modeling, Julia proficiency, system identification, embedded C/C++, ROS, nonlinear/robust/adaptive control, or contributions to publications/open source are valued.
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Rate, openings and requirements checked 2026-09-25 against micro1's own public postings.