Computer Engineering
Posted Today by Alignerr
Negotiable
Undetermined
Remote
Manchester, England, United Kingdom
Summary: The role of Computer Engineering — AI Data Trainer at Alignerr involves leveraging expertise in computer engineering to train and enhance AI models. Candidates will engage in designing complex engineering challenges, authoring technical solutions, auditing AI-generated content, and improving AI reasoning. This position offers flexible remote work opportunities and the chance to contribute to significant AI advancements. Ideal candidates will possess a strong foundation in computer architecture and related fields, with no prior AI experience required.
Key Responsibilities:
- Design Complex Engineering Challenges — Create advanced technical problems spanning RISC-V/ARM architecture, FPGA development, memory management, hardware-software co-design, and embedded systems
- 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 Technical Content — Evaluate AI-produced code (C/C++, Verilog, VHDL), logic gate designs, and OS kernel implementations for correctness, efficiency, and adherence to industry standards
- Improve AI Reasoning — Identify logical flaws such as race conditions, memory leaks, and improper timing constraints, then provide structured feedback to sharpen how AI models think through technical problems
Key Skills:
- Pursuing or completed 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 concepts and low-level software logic clearly in writing
- High attention to detail — comfortable working at the level of bit operations, clock cycles, and timing diagrams
- No prior AI experience required — we'll provide what you need to get started
- Experience with data annotation, data quality review, or AI evaluation workflows (nice to have)
- Familiarity with engineering software such as MATLAB, ANSYS, or similar tools (nice to have)
- Hands-on experience with embedded platforms, FPGAs, or hardware security (nice to have)
Salary (Rate): £35.00/hr
City: Manchester
Country: United Kingdom
Working Arrangements: remote
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
Computer Engineering — AI Data Trainer
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 your deep technical knowledge will directly shape how AI understands and reasons about hardware design, computer architecture, embedded systems, and more. This is a rare opportunity to apply your engineering expertise in a completely new domain, work flexibly on your own schedule, and contribute to AI systems used by millions of people.
Organization: Alignerr
Type: Hourly Contract
Location: Remote
Commitment: 10–40 hours/week
What You'll Do
- Design Complex Engineering Challenges — Create advanced technical problems spanning RISC-V/ARM architecture, FPGA development, memory management, hardware-software co-design, and embedded systems
- 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 Technical Content — Evaluate AI-produced code (C/C++, Verilog, VHDL), logic gate designs, and OS kernel implementations for correctness, efficiency, and adherence to industry standards
- Improve AI Reasoning — Identify logical flaws such as race conditions, memory leaks, and improper timing constraints, then provide structured feedback to sharpen how AI models think through technical problems
Who You Are
- Pursuing or completed 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 concepts and low-level software logic clearly in writing
- High attention to detail — comfortable working at the level of bit operations, clock cycles, and timing diagrams
- No prior AI experience required — we'll provide what you need to get started
Nice to Have
- Experience with data annotation, data quality review, or AI evaluation workflows
- Familiarity with engineering software such as MATLAB, ANSYS, or similar tools
- Hands-on experience with embedded platforms, FPGAs, or hardware security
Why Join Us
- Work on genuinely cutting-edge AI projects alongside top research teams
- Fully remote and flexible — work on your own schedule, from anywhere
- Freelance autonomy with the support of a global, collaborative community
- Gain rare, firsthand insight into how advanced large language models are built and trained
- Potential for ongoing work and contract extension