Mathematician (PhD) | $25/hr Remote

Crossing Hurdles

India

On-site

INR 800,000 - 1,200,000

Full time

14 days+
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Job summary

Crossing Hurdles in India is seeking a qualified PhD student or graduate to support AI model development across various STEM disciplines. Candidates will contribute their expertise to analyze datasets, provide technical feedback, and collaborate with teams to enhance model performance.

The ideal candidate should possess strong analytical, problem-solving skills and experience in technical writing. Prior exposure to research methodologies is preferred.

Qualifications

  • 4th or 5th year PhD students, or completed PhD required.
  • Strong analytical and problem-solving skills for complex concepts.
  • Experience with research methodologies and data analysis preferred.

Responsibilities

  • Contribute to AI model development and evaluation projects.
  • Analyze datasets and model-generated outputs for clarity.
  • Provide feedback to improve model performance across STEM domains.

Skills

Analytical skills
Problem-solving skills
Technical writing
Data analysis

Education

PhD in Mathematics, Physics, Chemistry, or Biology

Job description

Responsibilities
  • Contribute domain expertise across STEM disciplines to support AI model development and evaluation projects
  • Analyse complex scientific concepts, datasets, and model-generated outputs for accuracy and clarity
  • Support research-oriented tasks involving reasoning, technical analysis, and structured problem-solving
  • Provide detailed feedback to improve model performance across Mathematics, Physics, Chemistry, and Biology domains
  • Work on tasks involving technical writing, data interpretation, and scientific evaluation workflows
  • Collaborate with distributed teams while maintaining high-quality and detail-oriented deliverables
Requirements
  • 4th or 5th year PhD students, or candidates who have completed a PhD
  • Academic background in Mathematics, Physics, Chemistry, or Biology
  • Strong analytical and problem-solving skills with the ability to work with complex concepts
  • Experience with research methodologies, data analysis, or technical writing
Nice to Have
  • Prior exposure to working with structured or unstructured human data
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