IoT, Embedded & Firmware Engineering - AI Trainer
Posted 1 day ago 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. This role involves developing training content, analyzing complex scenarios, and collaborating with teams to enhance AI model learning for embedded systems. Your industry experience will directly impact the future of IoT and embedded platforms. This position offers a unique opportunity to work 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.
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.