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Computer Engineering - AI Data Trainer

Remote / Online - Candidates ideally in
Miami, Miami-Dade County, Florida, 33222, USA
Listing for: Alignerr
Remote/Work from Home position
Listed on 2026-01-07
Job specializations:
  • IT/Tech
    AI Engineer, Computer Science
Salary/Wage Range or Industry Benchmark: 35 - 60 USD Hourly USD 35.00 60.00 HOUR
Job Description & How to Apply Below

Base pay range

$35.00/hr - $60.00/hr

Location:

Remote

Organization:
Alignerr
Position:
Computer Engineering - AI Data Trainer
Type:
Hourly Contract
Compensation: $35–$60 /hour

Location:

Remote
Commitment: 10–40 hours/week

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, 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:
    Master’s (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:
    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., Solid Works, 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
  • Submit your resume
  • Complete a short screening
  • Project matching and onboarding
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