Live opening · Posted 7 days ago
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Computer Engineering Expert — AI Content Specialist
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.
This is a unique opportunity to apply your deep technical knowledge in a high-impact, flexible freelance role that fits around your schedule.
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
Work arrangement
No
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