IoT, Embedded & Firmware Engineering - AI Trainer
Posted Today by micro1
Negotiable
Undetermined
Remote
EMEA
Summary: Join a remote team as an IoT, Embedded & Firmware Engineering - AI Trainer, where you will leverage your technical expertise to contribute to AI-driven training initiatives. Your role will involve developing training content, analyzing complex scenarios, and collaborating with teams to enhance AI model learning for embedded systems. This position offers a unique opportunity to influence the future of IoT and embedded platforms globally.
Key Responsibilities:
- Develop and deliver technical content for AI-based training focused on IoT, embedded, and firmware engineering domains.
- Analyze and break down complex embedded and hardware–software integration scenarios to facilitate AI model learning.
- Collaborate with cross-functional teams to define data requirements and annotate real-world development cases.
- Validate and review technical data to ensure accuracy and comprehensive coverage of relevant IoT protocols, connectivity, and system integration challenges.
- Provide actionable feedback to improve AI-driven training materials and digital platforms.
- Leverage hands-on experience in debugging and optimizing embedded systems to enrich AI model capabilities.
- Communicate technical concepts clearly, both in writing and verbally, to support global teams and documentation efforts.
Key Skills:
- Minimum 3 years of professional experience in IoT, Embedded & Firmware Engineering.
- Proficiency in low-level programming for microcontrollers and SoCs using C, C++, Rust, or Assembly.
- Solid understanding of RTOS, device drivers, memory management, and real-time embedded system constraints.
- Demonstrated expertise interfacing firmware with diverse hardware components: sensors, actuators, communication modules, and power systems.
- In-depth knowledge of wireless communication protocols such as Bluetooth/BLE, Wi-Fi, Zigbee, LoRaWAN, MQTT, Modbus, CAN, and secure device-to-cloud communication.
- Advanced skills in debugging and optimization using oscilloscopes, logic analyzers, JTAG, and hardware profiling tools.
- Excellent written and verbal communication skills, with a strong attention to detail.
Salary (Rate): undetermined
City: undetermined
Country: undetermined
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Job Title: IoT, Embedded & Firmware Engineering - AI Trainer
Job Type: Contract (Part-time or Full-time)
Location: Remote
Job Summary: Join our customer's team as an IoT, Embedded & Firmware Engineering - AI Trainer, where your deep technical expertise will contribute directly to AI-driven training initiatives. You will help shape the future of embedded systems by sharing your industry experience and guiding the development of intelligent firmware solutions. This is a unique opportunity to impact AI training for next-generation IoT and embedded platforms from anywhere in the world.
Key Responsibilities:
- Develop and deliver technical content for AI-based training focused on IoT, embedded, and firmware engineering domains.
- Analyze and break down complex embedded and hardware–software integration scenarios to facilitate AI model learning.
- Collaborate with cross-functional teams to define data requirements and annotate real-world development cases.
- Validate and review technical data to ensure accuracy and comprehensive coverage of relevant IoT protocols, connectivity, and system integration challenges.
- Provide actionable feedback to improve AI-driven training materials and digital platforms.
- Leverage hands-on experience in debugging and optimizing embedded systems to enrich AI model capabilities.
- Communicate technical concepts clearly, both in writing and verbally, to support global teams and documentation efforts.
Required Skills and Qualifications:
- Minimum 3 years of professional experience in IoT, Embedded & Firmware Engineering.
- Proficiency in low-level programming for microcontrollers and SoCs using C, C++, Rust, or Assembly.
- Solid understanding of RTOS, device drivers, memory management, and real-time embedded system constraints.
- Demonstrated expertise interfacing firmware with diverse hardware components: sensors, actuators, communication modules, and power systems.
- In-depth knowledge of wireless communication protocols such as Bluetooth/BLE, Wi-Fi, Zigbee, LoRaWAN, MQTT, Modbus, CAN, and secure device-to-cloud communication.
- Advanced skills in debugging and optimization using oscilloscopes, logic analyzers, JTAG, and hardware profiling tools.
- Excellent written and verbal communication skills, with a strong attention to detail.
Preferred Qualifications:
- Academic background in Electrical Engineering, Computer Engineering, Embedded Systems, Electronics, Mechatronics, or Computer Science with embedded/low-level focus.
- Experience creating or delivering technical training content for professional or academic audiences.
- Familiarity with AI or ML workflows as applied to embedded engineering contexts.