Computer Engineering

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 such as computer architecture, embedded systems, networking, hardware security, and operating systems—documenting every failure so we can harden model reasoning.

• Title
  :
  Computer Engineering - AI Data Trainer
• Type
  :
  Hourly Contract
• Compensation
  : $35–$60 per hour
• Location
  :
  Remote
• Commitment
  : 10–40 hours per week

• 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, 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 OS 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.

• 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.

• Prior experience with data annotation, data quality, or evaluation systems.
• Proficiency in engineering software concepts (e.g., Solid Works, MATLAB, ANSYS) to evaluate AI-generated code or workflows.

• 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.

• 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.