Computer Engineering - AI Data Trainer jobs in United States
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Alignerr · 2 weeks ago

Computer Engineering - AI Data Trainer

Alignerr partners with leading AI research teams to develop and train advanced AI models. The role involves designing complex engineering challenges and creating technical solutions to enhance AI training processes.

Computer Software

Responsibilities

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

Qualification

Computer ArchitectureEmbedded SystemsDigital Logic DesignOperating SystemsAnalytical WritingData AnnotationSolidWorksMATLABANSYSAttention to Detail

Required

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

Benefits

Competitive pay and flexible remote work.
Freelance perks: autonomy, flexibility, and global collaboration.
Potential for contract extension.

Company

Alignerr

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We're looking for experts to help train better AI.

Funding

Current Stage
Early Stage
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