AI Data Trainer

Alignerr Corp.; Remote; GBP 100,000 - 125,000; Part time

Job summary

A leading collaborative AI firm in the UK is looking for a Computer Engineering - AI Data Trainer to develop complex engineering problems and create technical solutions for AI training. This flexible remote role requires a master's or PhD in a relevant field and offers competitive pay at $35–$60 per hour. Ideal candidates will possess strong attention to detail and analytical writing skills, with an emphasis on computer architecture and embedded systems.

Benefits

Competitive pay

Flexible remote work

Global collaboration opportunities

Qualifications

• Master's or PhD in Computer Engineering, Computer Science with hardware focus, or related field.
• Experience in evaluating AI-generated code and hardware designs not required.
• Ability to communicate technical concepts clearly.

Responsibilities

• Develop advanced computer engineering problems for AI training.
• Create technical solutions including HDL snippets and architectural diagrams.
• Evaluate AI-generated code and hardware designs for accuracy.

Skills

Analytical writing

Attention to detail

Strong foundational knowledge in computer architecture

Domain expertise in embedded systems

Education

Master's or PhD in Computer Engineering or related field

Tools

SolidWorks

MATLAB

ANSYS

Job description

About The Job

At Alignerr, we partner with the world’s leading AI research teams and labs to build and train cutting‑edge 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 systems—documenting every failure mode so we can harden model reasoning.

Organization

Position: Computer Engineering - AI Data Trainer
Type: Hourly Contract
Compensation: $35–$60 /hour
Location: Remote
Commitment: 10–40 hours/week

What You’ll Do

• Develop complex problems: design advanced computer engineering challenges across domains such as RISC‑V/ARM architecture, FPGA development, memory management, and hardware‑software co‑design.
• Author ground‑truth solutions: create rigorous, step‑by‑step technical solutions, including assembly code, HDL snippets, and architectural diagrams that serve as "golden responses" for AI training.
• Technical auditing: evaluate AI‑generated 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 reasoning—such as race conditions, memory leaks, or improper timing constraints—and provide structured feedback to improve the model’s "thinking" process.

Requirements

• Advanced degree: master’s (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: ability to communicate highly technical hardware concepts and low‑level software logic clearly and concisely in written form.
• Attention to detail: high precision when checking bit‑level operations, clock‑cycle timing, and technical documentation.
• No AI experience required.

Preferred

• Prior experience with data annotation, data quality, or evaluation systems.
• Proficiency in engineering software concepts (e.g., SolidWorks, MATLAB, ANSYS) to evaluate AI‑generated code or workflows.

Why Join Us

• Competitive pay and flexible remote work.
• Collaborate with a team working on cutting‑edge 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 15-20 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.