Computer Engineering
Alignerr · New York, NY
- Hybrid
- Contract
- $60,000 / year
- New York, NY
Job highlights
- Train cutting-edge AI models for research teams.
- Design complex computer engineering challenges.
- Author rigorous technical solutions and code.
- Evaluate AI-generated code and logic designs.
- Refine AI reasoning and provide feedback.
About the role
About The Job
At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.
You’ll challenge advanced language models on topics like computer architecture and hardware design, embedded systems and IoT, networking and distributed systems, hardware security, and systems software and operating systems—documenting every failure mode so we can harden model reasoning.
What You’ll Do
- Develop Complex Problems: Design advanced computer engineering challenges across domains like RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design.
- Author Ground-Truth Solutions: Create rigorous, step-by-step technical solutions, including assembly code, hardware description language (HDL) snippets, and architectural diagrams that serve as "golden responses" for AI training.
- Technical Auditing: Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and operating system kernels for technical accuracy, efficiency, and adherence to industry standards.
- Refine Reasoning: Identify logical fallacies in AI reasoning—such as race conditions, memory leaks, or improper timing constraints—and provide structured feedback to improve the model's "thinking" process.
Requirements
- Advanced Degree: Masters (pursuing or completed) or PhD in Computer Engineering, Computer Science with a hardware focus, or a closely related field.
- Domain Expertise: Strong foundational knowledge in core areas such as Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
- Analytical Writing: The ability to communicate highly technical hardware concepts and low-level software logic clearly and concisely in written form.
- Attention to Detail: High level of precision when checking bit-level operations, clock-cycle timing, and technical documentation.
- No AI experience required
Preferred
- Prior experience with data annotation, data quality, or evaluation systems
- Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI-generated code or workflows.
Why Join Us
- Competitive pay and flexible remote work.
- Collaborate with a team working on cutting-edge AI projects.
- Exposure to advanced LLMs and how they’re trained.
- Freelance perks: autonomy, flexibility, and global collaboration.
- Potential for contract extension.
Application Process (Takes 15-20 min)
- Submit your resume
- Complete a short screening Project matching and onboarding
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
Key skills/competency
- AI Data Trainer
- Computer Engineering
- Computer Architecture
- Embedded Systems
- Hardware Design
- Operating Systems
- Technical Writing
- Data Annotation
- Logic Design
- AI Model Training
Skills & topics
- AI Data Trainer
- Computer Engineering
- AI Model Training
- Hardware Design
- Embedded Systems
- Computer Architecture
- Operating Systems
- Technical Writing
- Data Annotation
- Digital Logic Design
- Masters
- PhD
- Remote
- Freelance
- Contract
How to get hired
- Tailor your resume: Highlight your advanced degree and domain expertise in Computer Engineering, Computer Science, or related hardware fields.
- Showcase writing skills: Emphasize your ability to clearly communicate technical concepts and low-level software logic in written form.
- Demonstrate attention to detail: Provide examples of your precision in checking bit-level operations and technical documentation.
- Complete the application steps: Ensure you submit your resume and complete the short screening and AI interview promptly.
Technical preparation
Review core computer architecture principles.,Practice writing in hardware description languages (HDL).,Solidify understanding of operating system concepts.,Prepare to audit C/C++ code and logic designs.
Behavioral questions
Describe a time you explained complex technical details.,How do you ensure high precision in your work?,How would you document an AI model's failure?,How do you approach evaluating technical accuracy?
Frequently asked questions
- What is the primary role of an AI Data Trainer at Alignerr for the Computer Engineering position?
- As an AI Data Trainer for Computer Engineering at Alignerr, your primary role is to challenge and train advanced AI language models on complex computer engineering topics. This involves designing problems, creating ground-truth solutions, auditing AI outputs, and refining the model's reasoning process.
- What specific computer engineering domains are covered in this AI Data Trainer role?
- This role covers a broad range of computer engineering domains, including computer architecture (RISC-V/ARM), hardware design, embedded systems and IoT, networking, hardware security, systems software, operating systems, FPGA development, memory management, and hardware-software co-design.
- Do I need prior AI experience to be considered for the Computer Engineering AI Data Trainer position?
- No, prior AI experience is not required for this role. Alignerr is looking for strong foundational knowledge in computer engineering and the ability to communicate technical concepts effectively.
- What is the expected time commitment for the Computer Engineering AI Data Trainer role?
- The commitment for this role is flexible, ranging from 10 to 40 hours per week, offering an hourly contract with competitive pay between $35–$60 per hour.
- What kind of degree is required for the Computer Engineering AI Data Trainer position at Alignerr?
- An advanced degree is required, specifically a Masters (pursuing or completed) or PhD in Computer Engineering, Computer Science with a hardware focus, or a closely related field.
- How does Alignerr ensure the quality of AI training data for computer engineering tasks?
- Alignerr ensures quality by having AI Data Trainers develop complex problems, author rigorous ground-truth solutions, and meticulously audit AI-generated code and designs for technical accuracy and efficiency, documenting all failure modes.