Computer Engineering Expert - AI Content Specialist

Alignerr Corp.; Wollongong City Council; À distance; AUD 55 000 - 124 000; Temps partiel

Avantages offerts par ce poste

Fully remote

Flexible schedule

Freelance perks

Résumé du poste

Alignerr Corp. is seeking a Computer Engineering Expert—AI Content Specialist to help train and improve AI systems remotely on an hourly contract. You will collaborate with leading AI labs to create challenging hardware-focused scenarios, robust references, and evaluation content.

The role emphasizes RISC‑V/ARM, FPGA, memory management, and HW‑SW co-design, plus writing ground-truth solutions in assembly and HDL, and auditing AI outputs in C/C++, Verilog, and VHDL.

Qualifications

• Master's or PhD in Computer Engineering, Computer Science (hardware focus), or related field.
• Strong knowledge in Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems.
• Clear written communication of complex hardware and software concepts.
• High attention to detail and ability to work at bit-level timing and documentation.

Responsabilités

• Design advanced problems spanning RISC‑V/ARM architecture, FPGA development, memory management, and hardware‑software co-design.
• Author ground‑truth solutions with assembly code, HDL snippets, and architectural diagrams for AI training.
• Audit AI outputs in C/C++, Verilog, VHDL for accuracy, efficiency, and standards compliance.
• Provide structured feedback to improve model reasoning and identify timing issues.

Connaissances

Computer Architecture

Embedded Systems

Digital Logic Design

Operating Systems

Formation

Master's / PhD in Computer Engineering / CS (hardware focus)

Outils

MATLAB

ANSYS

Simulation environments

Description du poste

Computer Engineering Expert — AI Content Specialist

We're looking for computer engineering experts to help train and improve the next generation of AI systems. At Alignerr, we partner with the world's leading AI research labs — and your deep technical knowledge is exactly what's needed to make these models smarter, more accurate, and more reliable.

• Organization: Alignerr
• Type: Hourly Contract
• Location: Remote
• Commitment: 10–40 hours/week

What You'll Do

• Design Advanced Problems — Create challenging computer engineering scenarios 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 reference responses for AI training
• Audit AI Outputs — Evaluate AI-generated code (C/C++, Verilog, VHDL), logic gate designs, and OS kernels for technical accuracy, efficiency, and adherence to industry standards
• Refine AI Reasoning — Identify logical errors such as race conditions, memory leaks, or improper timing constraints, and provide structured feedback to improve model reasoning

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 knowledge in one or more of: Computer Architecture, Embedded Systems, Digital Logic Design, or Operating Systems
• Able to communicate complex hardware and low-level software concepts clearly and concisely in writing
• High attention to detail — comfortable working at the level of bit operations, clock‑cycle timing, and technical documentation
• No prior AI experience required

Nice to Have

• Experience with data annotation, data quality, or AI evaluation workflows
• Proficiency in engineering tools such as MATLAB, ANSYS, or simulation environments
• Familiarity with IoT, networking, distributed systems, or hardware security

Why Join Us

• Work on cutting‑edge AI projects alongside top research labs and AI teams
• Fully remote and flexible — work on your own schedule
• Freelance perks: autonomy, variety, and global collaboration
• Gain firsthand exposure to how advanced LLMs are built and trained
• Meaningful work that directly improves the technical reasoning of next‑generation AI
• Potential for ongoing work and contract extension