Computer Engineering

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting-edge AI models.

• Location:
  
  Remote
• Organization:
  Alignerr
• Position:
  Computer Engineering - AI Data Trainer
• Type:
  Hourly Contract
• Compensation: $35–$60 /hour
• Commitment: 10–40 hours/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, 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.

• 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.