Remote Postdoc Researcher: AI Reasoning & Evaluation

Alignerr Corp.; Wellington; Remote; NZD 147,000 - 295,000; Part time

Job summary

Alignerr Corp. is recruiting General Postdoctoral Researchers (Masters/PhDs) for AI training.

This fully remote, hourly contract role seeks experts to design complex problems, stress-test AI reasoning, and push AI frontiers, with emphasis on independent, high‑quality research and rigorous evaluation. You will collaborate with leading AI labs, focusing on real-world problem statements, cross-disciplinary work, and clear, precise deliverables.

Qualifications

• Master's or PhD in a STEM or highly technical field from a top‑tier university.
• Proven track record of research, publications, or managing complex technical projects.
• Exceptional written communicator with a sharp eye for accuracy and detail.
• Self‑motivated and comfortable working independently in an asynchronous environment.
• Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand.

Responsibilities

• Design and solve advanced, multi-disciplinary problems that challenge and sharpen AI reasoning capabilities.
• Apply your research expertise to develop complex, real-world problem statements across your domain.
• Review and evaluate AI-generated outputs for academic rigor, depth, accuracy, and logical soundness.
• Collaborate asynchronously with AI researchers and domain experts to improve model performance.
• Ensure clarity, precision, and intellectual depth across all your deliverables.

Skills

Research experience

Academic writing

Independent work

English proficiency

Education

Master's or PhD in STEM

Tools

Python

R

Job description

Alignerr Corp. is recruiting General Postdoctoral Researchers (Masters/PhDs) for AI training.

This fully remote, hourly contract role seeks experts to design complex problems, stress-test AI reasoning, and push AI frontiers, with emphasis on independent, high‑quality research and rigorous evaluation. You will collaborate with leading AI labs, focusing on real-world problem statements, cross-disciplinary work, and clear, precise deliverables.