Computer Engineering
Alignerr · Canada
- Hybrid
- Contract
- $60,000 / year
- Canada
Job highlights
- Shape AI models with your engineering expertise.
- Design challenges for AI in hardware systems.
- Author technical solutions for AI training.
- Evaluate AI-generated code and designs.
- Remote, flexible contract work available.
About the role
Computer Engineering AI Data Trainer
Alignerr is partnering with the world's leading AI research labs to build smarter, more reliable AI systems. As a Computer Engineering AI Data Trainer, your deep knowledge of hardware, embedded systems, and computer architecture will directly shape how the next generation of AI models thinks and reasons about technical problems. This is a rare opportunity to move beyond building systems and start influencing the AI that will define the future of engineering.
About the Role
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design Advanced Challenges: Craft complex, domain-specific problems spanning RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design that push AI models to their limits.
- Author Ground-Truth Solutions: Write rigorous, step-by-step technical solutions including assembly code, HDL snippets, and architectural diagrams that serve as authoritative benchmarks for AI training.
- Audit AI Outputs: Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and OS kernels for technical accuracy, efficiency, and adherence to industry standards.
- Refine AI Reasoning: Identify and document failure modes such as race conditions, memory leaks, and improper timing constraints, then provide structured feedback to improve model reasoning.
Who You Are
- Pursuing or holding a Master's or PhD in Computer Engineering, Computer Science (hardware focus), or a closely related field.
- Strong foundational expertise in one or more of: Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
- Able to communicate complex hardware concepts and low-level software logic clearly in writing.
- Highly detail-oriented — comfortable working with bit-level operations, clock-cycle timing, and precision technical documentation.
- No prior AI experience required — your engineering expertise is what matters.
Nice to Have
- Experience with data annotation, data quality, or evaluation workflows.
- Proficiency with engineering tools such as MATLAB or ANSYS.
- Familiarity with IoT, networking, distributed systems, or hardware security.
Why Join Us
- Work on cutting-edge AI projects alongside top research labs and AI teams.
- Fully remote and flexible — work on your own schedule, 10 to 40 hours per week.
- Freelance perks: autonomy, variety, and collaboration with experts around the world.
- Gain direct insight into how frontier large language models are built and trained.
- Potential for ongoing work and contract extension.
Key skills/competency
- Computer Architecture
- Embedded Systems
- Digital Logic Design
- Operating Systems
- RISC-V/ARM Architecture
- FPGA Development
- Hardware-Software Co-design
- Verilog/VHDL
- C/C++
- Assembly Code
Skills & topics
- Computer Engineering
- AI Data Trainer
- Computer Architecture
- Embedded Systems
- Digital Logic Design
- Operating Systems
- RISC-V
- ARM Architecture
- FPGA Development
- Hardware-Software Co-design
- Remote
- Contract
How to get hired
- Tailor your resume: Highlight your experience with computer architecture, embedded systems, and low-level programming.
- Showcase your skills: Emphasize your ability to communicate complex technical concepts in writing.
- Prepare for technical questions: Be ready to discuss your expertise in areas like RISC-V, FPGA, and OS kernels.
- Demonstrate attention to detail: Provide examples of your meticulous work with bit-level operations and timing.
- Apply online: Submit your application through Alignerr's careers portal for consideration.
Technical preparation
Master computer architecture fundamentals.,Practice embedded systems design.,Review digital logic and OS concepts.,Write clear technical documentation.
Behavioral questions
Describe a complex technical problem solved.,How do you ensure accuracy in documentation?,How do you communicate technical details clearly?,How do you handle detailed, low-level tasks?
Frequently asked questions
- What specific computer engineering expertise is most valued for the Alignerr AI Data Trainer role?
- Alignerr highly values expertise in Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems. Proficiency in areas like RISC-V/ARM architecture, FPGA development, and hardware-software co-design is particularly beneficial for this Computer Engineering AI Data Trainer position.
- Do I need prior AI experience to be an AI Data Trainer at Alignerr?
- No, prior AI experience is not required. Alignerr is seeking candidates whose strong engineering expertise in computer hardware and systems is their primary qualification for the Computer Engineering AI Data Trainer role. Your background in computer engineering is the key focus.
- What is the work commitment for the Computer Engineering AI Data Trainer position?
- The Computer Engineering AI Data Trainer role offers flexible commitment, ranging from 10 to 40 hours per week. This allows you to structure your work around your schedule, making it suitable for various availabilities.
- How does Alignerr ensure the quality of AI training data for this role?
- Alignerr focuses on having skilled computer engineers like you author ground-truth solutions and audit AI outputs. Your role as a Computer Engineering AI Data Trainer involves evaluating AI-generated code and designs for accuracy, providing structured feedback to refine AI reasoning.
- Can this contract role lead to further opportunities at Alignerr?
- Yes, Alignerr mentions a potential for ongoing work and contract extension for successful Computer Engineering AI Data Trainers. Your contributions in shaping AI models can lead to continued engagement.
- What kind of technical writing skills are needed for the Alignerr AI Data Trainer job?
- As a Computer Engineering AI Data Trainer, you'll need to clearly communicate complex hardware concepts and low-level software logic in writing. This includes authoring step-by-step technical solutions with details like assembly code and architectural diagrams.