Computer Engineering
Alignerr · Miami, FL
- Hybrid
- Contract
- $60,000 / year
- Miami, FL
Job highlights
- Design complex computer engineering challenges for AI.
- Author technical solutions for AI model training.
- Evaluate AI-generated code and designs for accuracy.
- Refine AI reasoning by identifying logical fallacies.
- Work remotely with flexible hours.
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
- Computer Architecture
- Embedded Systems
- Digital Logic Design
- Operating Systems
- Hardware Description Language (HDL)
- Verilog
- VHDL
- RISC-V/ARM Architecture
- Hardware-Software Co-design
- AI Training Data
Skills & topics
- AI Data Trainer
- Computer Engineering
- AI
- Machine Learning
- Data Annotation
- Computer Architecture
- Embedded Systems
- Operating Systems
- Hardware Design
- Remote Work
How to get hired
- Tailor your resume: Highlight your advanced degree and domain expertise in computer engineering fields.
- Showcase analytical writing: Emphasize your ability to clearly communicate technical hardware and software concepts.
- Demonstrate attention to detail: Provide examples of precision in your work, especially with technical documentation.
- Complete the application: Ensure all steps, including the AI interview, are finished for full consideration.
- Express interest early: Applications are reviewed daily, so prompt submission is key.
Technical preparation
Master core computer engineering concepts thoroughly.,Practice writing clear technical documentation.,Familiarize with HDL, C/C++, and OS kernels.,Develop meticulous attention to detail for accuracy.
Behavioral questions
Describe a complex technical problem you solved.,How do you ensure accuracy in your detailed work?,Explain a difficult technical concept clearly.,How do you handle identifying errors in systems?
Frequently asked questions
- What is the AI Data Trainer role at Alignerr about?
- The AI Data Trainer role at Alignerr involves creating and evaluating complex computer engineering challenges to train advanced AI language models. You'll focus on areas like computer architecture, embedded systems, and operating systems, documenting model failures to improve their reasoning capabilities.
- What are the educational requirements for the AI Data Trainer position at Alignerr?
- Alignerr requires candidates to have a Masters (pursuing or completed) or a PhD in Computer Engineering, Computer Science with a hardware focus, or a closely related field for the AI Data Trainer role.
- Is prior AI experience necessary for the Computer Engineering - AI Data Trainer job?
- No, prior AI experience is not required for the Computer Engineering - AI Data Trainer position at Alignerr. The company values strong foundational knowledge in computer engineering domains.
- What type of technical skills are evaluated for the AI Data Trainer role?
- The AI Data Trainer role evaluates skills in computer architecture, embedded systems, digital logic design, operating systems, and analytical writing. You'll also need meticulous attention to detail for technical auditing and refinement of AI reasoning.
- How does Alignerr use the technical solutions created by AI Data Trainers?
- Technical solutions authored by AI Data Trainers at Alignerr serve as 'golden responses' to train and benchmark AI models. These rigorous, step-by-step solutions help ensure the accuracy and quality of the AI's outputs.
- Can I work flexibly as an AI Data Trainer at Alignerr?
- Yes, Alignerr offers a flexible remote work arrangement with a commitment of 10-40 hours per week. This freelance role provides autonomy, flexibility, and opportunities for global collaboration.
- What is the compensation for the Computer Engineering - AI Data Trainer position?
- The compensation for the Computer Engineering - AI Data Trainer position at Alignerr ranges from $35 to $60 per hour, based on experience and the specific contract.
- How long does the application process for the AI Data Trainer role take?
- The application process for the AI Data Trainer role at Alignerr is designed to be efficient, taking approximately 15-20 minutes to complete, including resume submission and a short screening.