Remote AI Researcher (MS/PhD) — Flexible Contract

Alignerr Corp.; Wellington; Remote; NZD 83,000 - 152,000; Full time

Benefits offered by this job

Fully remote

Asynchronous work

Contract flexibility

Training and onboarding support

Job summary

Alignerr is seeking Masters and PhD-level researchers to tackle complex, multi-disciplinary problems that push AI reasoning to its limits. This fully remote, hourly contract enables serious researchers to shape tomorrow's AI on their own schedule.

You will design and review advanced problems, craft rigorous statements, and collaborate asynchronously with AI researchers to improve model performance, ensuring academic rigor and clarity in all deliverables.

Qualifications

• Must hold a Master's or PhD in a STEM or highly technical field from a top university.
• Proven track record in research, publications, or complex technical project work.
• Excellent scientific writing and communication skills in English.
• Fluency in English and remote work capability from eligible regions.

Responsibilities

• Design, solve, and review advanced, multi-disciplinary problems with real-world academic and professional relevance.
• Apply research expertise to craft complex problem statements that challenge AI reasoning.
• Collaborate asynchronously with AI researchers and domain experts to improve model performance.
• Ensure academic rigor, depth, and clarity across all deliverables.
• Work independently on your own schedule — no meetings, no commute.

Skills

Research excellence

Academic publications

Technical writing

Independent work

Education

Master's or PhD in STEM/technical field

Tools

Python

R

Job description

Alignerr is seeking Masters and PhD-level researchers to tackle complex, multi-disciplinary problems that push AI reasoning to its limits. This fully remote, hourly contract enables serious researchers to shape tomorrow's AI on their own schedule.

You will design and review advanced problems, craft rigorous statements, and collaborate asynchronously with AI researchers to improve model performance, ensuring academic rigor and clarity in all deliverables.