Masters or PhD Researcher

Summary

Alignerr is seeking Masters and PhD-level researchers to contribute to the advancement of AI systems. The role involves designing complex problems, evaluating AI outputs, and collaborating with other researchers to improve model performance, all within a flexible, remote work environment.

Responsibilities

• Design, develop, and solve advanced, multi-disciplinary problems with real-world relevance that challenge and sharpen AI reasoning
• Apply your research expertise to craft complex problem statements that expose the limits of current AI models and drive measurable improvement
• Review and evaluate AI-generated outputs for academic rigor, logical soundness, and domain accuracy
• Collaborate asynchronously with AI researchers and fellow domain experts to refine model performance across a range of technical fields
• Ensure all deliverables meet the highest standards of clarity, depth, and intellectual integrity

Skills

• Holder of a Master's or PhD in a STEM or highly technical field from a top-tier university
• Strong track record in research — publications, complex project leadership, or advanced technical problem-solving
• Exceptionally clear written and verbal communicator with meticulous attention to detail
• Self-motivated and comfortable working independently in an asynchronous, remote environment
• Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand
• Experience with data annotation, data quality assessment, or AI evaluation workflows
• Proficiency in Python, R, or other research-oriented programming languages
• Background spanning multiple STEM disciplines — cross-domain thinkers are especially valued

Qualifications

Must Haves

• Holder of a Master's or PhD in a STEM or highly technical field from a top-tier university
• Strong track record in research — publications, complex project leadership, or advanced technical problem-solving
• Exceptionally clear written and verbal communicator with meticulous attention to detail
• Self-motivated and comfortable working independently in an asynchronous, remote environment
• Fluent in English and based in the U.S., Canada, U.K., Australia, or New Zealand

Nice to Haves

• Experience with data annotation, data quality assessment, or AI evaluation workflows
• Proficiency in Python, R, or other research-oriented programming languages
• Background spanning multiple STEM disciplines — cross-domain thinkers are especially valued

Benefits

• Fully remote and flexible — structure your work around your life, not the other way around
• Freelance autonomy paired with intellectually rigorous, high-impact work
• Put your graduate expertise to use in a way that shapes how AI reasons across science, technology, and beyond
• Potential for ongoing work and expanded collaboration as new research projects launch