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Computer Engineering - AI Data Trainer
Remote / Online - Candidates ideally in
Miami, Miami-Dade County, Florida, 33222, USA
Listed on 2026-01-07
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
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
- 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.
- 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.
- 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
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