Job Title

Location: RemoteAbout The JobAt Alignerr, we partner with the world''s leading AI research teams and labs to build and train cuttingedge AI models. You''ll challenge advanced language models on topics like computer architecture and hardware design, embedded systems and IoT, networking and distributed systems, hardware security, and systems software and operating systemsdocumenting every failure mode so we can harden model reasoning.OrganizationAlignerrPosition: Computer Engineering Expert - AI Content SpecialistType: Hourly ContractCompensation: $35$60 /hourLocation: RemoteCommitment: 1040 hours/weekWhat You''ll DoDevelop Complex Problems: Design advanced computer engineering challenges across domains like RISCV/ARM architecture, FPGA development, memory management, and hardwaresoftware codesign.Author GroundTruth Solutions: Create rigorous, stepbystep technical solutions, including assembly code, hardware description language (HDL) snippets, and architectural diagrams that serve as "golden responses" for AI training.Technical Auditing: Evaluate AIgenerated 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 reasoningsuch as race conditions, memory leaks, or improper timing constraintsand provide structured feedback to improve the model''s "thinking" process.RequirementsAdvanced 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 bitlevel operations, clockcycle timing, and technical documentation.No AI experience required.PreferredPrior experience with data annotation, data quality, or evaluation systems.Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AIgenerated code or workflows.Why Join UsCompetitive pay and flexible remote work.Collaborate with a team working on cuttingedge AI projects.Exposure to advanced LLMs and how they''re trained.Freelance perks: autonomy, flexibility, and global collaboration.Potential for contract extension.Application Process (Takes 1520 min)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. #J-18808-Ljbffr