Remote AI Researcher (MS/PhD) - Training & Evaluation

Alignerr Corp.; Sheffield (TX); Remote; USD 83,000 - 165,000; Part time

Job summary

Alignerr is seeking Masters and PhD-level researchers for an AI Training role. This fully remote, hourly contract position invites scholarly expertise to tackle multidisciplinary problems, shaping how advanced AI systems think and reason.

Training support is provided, and collaboration will be asynchronous with AI researchers and domain specialists. The role emphasizes rigorous academic work, publication-quality output, and independent, self-directed contributions in a flexible schedule suitable

Qualifications

• Master's or PhD in a STEM field from a top university.
• Proven track record in research, publications, or complex technical project work.
• Exceptional written communication with sharp attention to detail.
• Self-directed and reliable in asynchronous environments.
• Fluent in English and based in the US, Canada, UK, Australia, or New Zealand.

Responsibilities

• Design and solve advanced, multi-disciplinary problems with real-world relevance across your area of expertise.
• Apply your research background to construct complex problem statements that challenge and sharpen AI reasoning.
• Evaluate AI-generated outputs for academic rigor, logical soundness, and domain accuracy.
• Collaborate asynchronously with AI researchers and domain specialists to improve model performance.
• Ensure depth, clarity, and precision across all deliverables.

Skills

Academic research

Strong writing

Independent work

Asynchronous collaboration

English proficiency

Education

Master's degree in STEM

PhD in STEM

Tools

Python

R

Job description

Alignerr is seeking Masters and PhD-level researchers for an AI Training role. This fully remote, hourly contract position invites scholarly expertise to tackle multidisciplinary problems, shaping how advanced AI systems think and reason.

Training support is provided, and collaboration will be asynchronous with AI researchers and domain specialists. The role emphasizes rigorous academic work, publication-quality output, and independent, self-directed contributions in a flexible schedule suitable