AI Data Trainer

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

Job summary

A tech company specializing in AI is seeking a Computer Engineering - AI Data Trainer to develop advanced engineering challenges and evaluate AI-generated code. Candidates should possess a Master's or PhD in a relevant field, strong knowledge in areas such as Computer Architecture and Embedded Systems, and excellent analytical writing skills. The role offers competitive hourly compensation and the flexibility of remote work. Join a team on the cutting edge of AI research and help shape future innovations.

Benefits

Competitive pay

Flexible remote work

Potential for contract extension

Qualifications

• Advanced degree in a relevant field, pursuing or completed.
• Strong foundational knowledge in core areas like embedded systems and digital logic design.
• Ability to communicate technical concepts clearly.

Responsibilities

• Design advanced computer engineering challenges across various domains.
• Create technical solutions, including assembly code and architectural diagrams.
• Evaluate AI-generated code for accuracy and efficiency.

Skills

Computer Architecture

Embedded Systems

Analytical Writing

Attention to Detail

Education

Masters or PhD in Computer Engineering or Computer Science

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

Organization: Alignerr 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 like 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: Masters (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: The ability to communicate highly technical hardware concepts and low‑level software logic clearly and concisely in written form.
• Attention to Detail: High level of 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.