Remote AI Researcher (Masters/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 to tackle advanced AI training challenges, shaping how the world’s most capable AI systems think and reason. This is a fully remote hourly contract role built for serious academics, with training support provided.

Responsibilities include designing and evaluating multidisciplinary problems, applying your research to craft rigorous problem statements, and collaborating asynchronously with AI researchers to improve model performance.

Qualifications

• Master's or PhD in STEM or technical field from a top university.
• Strong track record in research, publications, or complex technical project work.
• Exceptional written communication skills with sharp attention to detail.

Responsibilities

• Design, solve, and review 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

Research track record

Written communication

Independent work

English fluency

Python

R

Education

Master's or PhD in STEM/technical field

Tools

Python

R

Job description

Alignerr is seeking Masters and PhD-level researchers to tackle advanced AI training challenges, shaping how the world’s most capable AI systems think and reason. This is a fully remote hourly contract role built for serious academics, with training support provided.

Responsibilities include designing and evaluating multidisciplinary problems, applying your research to craft rigorous problem statements, and collaborating asynchronously with AI researchers to improve model performance.