Robotics Control Systems Engineer (Freelancer)

Deccan AI Experts

Bengaluru

Remote

INR 2,066,000 - 4,133,000

Full time

14 days+

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Benefits offered by this job

Fully remote
Flexible hours
Competitive pay

Job summary

Deccan AI Experts invites a Robotics Control Systems Engineer (Freelancer) to support AI evaluation initiatives in robotics control architectures, autonomous systems, and embedded intelligence.

The role involves analyzing AI-generated outputs across control theory, motion planning, and sensor feedback, collaborating with global teams to improve accuracy, stability, and efficiency in robotics solutions. Remote, project-based, with hourly pay ₹1500–₹3000 depending on expertise.

Qualifications

  • Background in Robotics, Control Systems or related engineering field.
  • Strong grasp of control theory, robotics kinematics, and motion control.
  • Proficiency in C++, Python, or MATLAB.
  • Experience with ROS/ROS2 and embedded systems preferred.

Responsibilities

  • Create deliverables on robotics control workflows and system optimization.
  • Annotate and evaluate AI-generated robotics control outputs.
  • Review peer deliverables to improve AI research quality.
  • Diagnose real-world robotics control challenges to improve AI reasoning.
  • Assess AI outputs for accuracy, stability, and reliability.
  • Identify bugs and provide feedback on AI-generated solutions.
  • Contribute domain expertise to robotics AI models.

Skills

Robotics
Control theory
Programming: C++/Python/MATLAB
ROS/ROS2
Embedded systems

Tools

MATLAB
ROS/ROS2 tools

Job description

Deccan AI Experts is a pioneering company founded by IIT Bombay and IIM Ahmedabad alumni, with a strong founding team from IITs, NITs, and BITS. We specialize in delivering high-quality human-curated data, AI-first scaled operations services, and more.

About the Role

We are looking for a Robotics Control Systems Engineer (Freelancer) to support advanced AI evaluation initiatives focused on robotics control architectures, autonomous systems, embedded intelligence, and intelligent automation technologies.

In this role, you will work with AI-generated outputs related to control theory, motion control, robotics kinematics, sensor feedback systems, embedded controllers, and autonomous navigation, helping improve how AI models understand and solve real-world robotics control engineering challenges.

You will collaborate with global AI and engineering teams to assess the technical accuracy, system stability, and operational efficiency of AI-generated robotics solutions. Your contributions will directly enhance AI systems used for robotics automation, intelligent control systems, and autonomous technologies.

Responsibilities
  • Create deliverables addressing common requests within your professional domain, including robotics control workflows, motion planning strategies, and system optimization approaches
  • Annotate and evaluate AI-generated responses related to robotics control systems and autonomous technologies
  • Review peer-developed deliverables to enhance AI research quality and consistency
  • Diagnose and solve real-world robotics control and automation challenges to improve AI reasoning capabilities
  • Assess AI outputs for correctness, control stability, scalability, hardware compatibility, and operational reliability
  • Identify bugs, incorrect assumptions, inefficient implementations, or system instability issues in AI-generated solutions and provide structured feedback
  • Contribute domain expertise to improve AI models focused on robotics control systems, intelligent automation, and autonomous applications
Requirements
  • Background in Robotics, Control Systems, Electronics, Electrical Engineering, Mechatronics, or a related field
  • Strong understanding of control theory, robotics kinematics, motion control, feedback systems, and autonomous technologies
  • Proficiency in programming languages such as C++, Python, or MATLAB
  • Familiarity with ROS/ROS2, embedded systems, sensor integration, and robotics simulation tools is preferred
  • Experience with PID controllers, trajectory planning, motor control systems, or real-time robotics applications is a plus
  • Ability to critically evaluate robotics architectures, control workflows, and engineering solutions
  • Strong analytical and problem-solving skills
  • Ability to work independently in a remote, fast-paced environment
Why Join Us
  • Competitive hourly pay: ₹1500 – ₹3000/hour (project-based, depending on expertise and specialization)
  • Fully remote with flexible working hours
  • Opportunity to contribute to cutting-edge AI and robotics research
  • Exposure to advanced automation, intelligent control systems, and autonomous robotics applications
  • Flexibility to manage your own schedule while meeting project deadlines
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