About The Role
We\'re looking for computer engineering experts to help train and improve the next generation of AI models. At Alignerr, we partner with the world\'s leading AI research labs — and we need specialists who can challenge, audit, and refine how AI reasons about hardware, systems, and low-level software.
* Organization: Alignerr
* Type: Hourly Contract
* Location: Remote
* Commitment: 10–40 hours/week
What You\'ll Do
* Design Expert-Level Challenges — Craft advanced computer engineering problems spanning RISC-V/ARM architecture, FPGA development, memory management, and hardware-software co-design
* Author Ground-Truth Solutions — Write rigorous, step-by-step technical solutions — including assembly code, HDL snippets, and architectural diagrams — that serve as the gold standard for AI training
* Audit AI-Generated Outputs — Evaluate AI-produced code (C/C++, Verilog, VHDL), logic gate designs, and OS kernels for correctness, efficiency, and adherence to industry standards
* Sharpen AI Reasoning — Identify flaws in AI reasoning such as race conditions, memory leaks, or improper timing constraints, and provide structured feedback that improves model accuracy
Who You Are
* Holds or is pursuing a Master\'s or PhD in Computer Engineering, Computer Science (hardware focus), or a closely related field
* Strong foundational expertise in one or more of: Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems
* Able to communicate complex hardware concepts and low-level software logic clearly in writing
* High attention to detail — comfortable working at the level of bit operations, clock-cycle timing, and technical specifications
* No prior AI experience required
Nice to Have
* Experience with data annotation, data quality, or evaluation pipelines
* Proficiency in engineering tools such as MATLAB or ANSYS for evaluating AI-generated technical content
* Familiarity with IoT, networking, distributed systems, or hardware security
Why Join Us
* Work on cutting-edge AI projects alongside top research labs and teams
* Fully remote and flexible — set your own hours and workload
* Freelance autonomy with the backing of a globally collaborative team
* Gain rare, hands-on exposure to how frontier LLMs are trained and evaluated
* Potential for ongoing work and contract extension
#J-18808-Ljbffr