This role is for one of our clients
Compensation: $100-$150 per hour
Location: Remote (United States)
Engagement Type: Part-Time, Independent Contractor
Time Commitment: Minimum 20 hours per week, weekdays
Job Overview
We are seeking experienced Embedded Systems and Firmware Engineers with strong hands-on expertise in low-level programming, operating system internals, firmware development, device drivers, or hardware design and verification to contribute to the development of next-generation Generative AI models.
This opportunity is ideal for engineering professionals with deep systems-level knowledge and practical experience building, debugging, and optimizing performance-critical software and hardware systems. You will work closely with research and engineering teams at a leading AI lab to improve the accuracy, reliability, and technical depth of AI-generated engineering solutions.
As a subject-matter expert, you will help develop challenging technical tasks, create high-quality reference solutions, evaluate AI model outputs, and establish benchmarks that measure the model's ability to reason through complex embedded systems and hardware engineering problems.
Requirements
Key Responsibilities
- Collaborate with AI research and engineering teams to identify technical knowledge gaps and improve model performance across embedded systems, firmware, kernel engineering, device drivers, and hardware design.
- Design challenging, domain-specific engineering tasks and develop accurate, well-structured reference solutions covering low-level programming and systems engineering concepts.
- Evaluate AI-generated solutions for technical correctness, efficiency, reliability, and practical feasibility, providing clear and structured written feedback.
- Develop and assess low-level engineering tasks involving memory management, concurrency, synchronization, device drivers, RTOS behavior, and hardware description languages.
- Review solutions related to Linux kernel internals, firmware architecture, embedded software, and hardware design and verification.
- Create detailed evaluation rubrics to assess correctness, safety, performance, and reliability of systems-level software and hardware design solutions.
- Identify logical errors, implementation issues, performance bottlenecks, and potential safety concerns in AI-generated technical responses.
- Collaborate with other subject-matter experts to maintain consistency, accuracy, and quality across AI training datasets.
Required Qualifications
- Minimum of 4 years of professional experience in embedded systems, firmware development, operating system kernel engineering, or chip design.
- Experience working at a recognized organization in industries such as semiconductors, operating systems, consumer devices, automotive, aerospace, or hardware technology.
- Strong proficiency in production-level C and/or C++ programming, particularly for resource-constrained or performance-critical systems.
- Hands-on experience in at least one of the following areas:
- Linux Kernel and Device Drivers: Kernel development, driver architecture, system calls, memory management, and low-level debugging.
- RTOS and Firmware: Real-time operating systems, embedded firmware development, hardware-software integration, and device-level programming.
- RTL Design and Verification: Verilog, SystemVerilog, VHDL, UVM, digital logic design, and hardware verification.
- Strong understanding of operating system internals, computer architecture, memory management, concurrency, and low-level system behavior.
- Demonstrable career progression and ownership of complex engineering responsibilities.
- Excellent written communication skills, with the ability to explain complex technical concepts and engineering decisions clearly.
- Ability to commit reliably to at least 20 hours per week during weekdays.
Preferred Qualifications
- Experience working on production-grade embedded systems or performance-critical software.
- Familiarity with hardware-software co-design, chip architecture, or semiconductor development workflows.
- Experience debugging complex system-level issues across hardware and software layers.
- Exposure to AI-powered development tools or large language models (LLMs).
- Experience evaluating AI-generated code, developing technical benchmarks, or creating structured engineering assessment rubrics.
Employment Details
- Work Arrangement: Fully remote within the United States.
- Engagement Type: Part-time, independent contractor.
- Time Commitment: Minimum 20 hours per week, primarily on weekdays.
- Schedule: Flexible, with the ability to manage work remotely.
- Project Duration: Engagements may be extended, shortened, or concluded early depending on project requirements and performance.
- Payment: Weekly payments through Stripe or Wise, based on services rendered.
- Confidentiality: The role will not require access to confidential or proprietary information belonging to any current or former employer, client, or institution.
Equal Employment Opportunity
We are committed to providing equal employment opportunities to all qualified applicants. We do not discriminate based on race, religion, color, national origin, sex, pregnancy, sexual orientation, gender identity or expression, age, disability, veteran status, genetic information, political views or activity, or any other characteristic protected by applicable law.
Reasonable accommodations are available to qualified applicants upon request.
Important Eligibility Information
- Applicants must be based in the United States.
- H-1B and STEM OPT candidates cannot be supported for this opportunity.
- Candidates should have at least 4 years of relevant professional experience in embedded systems, firmware, kernel engineering, or chip design.