Mavila Consulting
Mavila Consulting

Maths Expert

Mavila Consulting

Maths Expert

AI Trainer / Data AnnotatorBangladeshBrazilColombiaEgyptGhanaIndiaIndonesiaTurkeyVietnamJuniorRemote
MathematicsProblem SolvingResearchTechnical WritingAI EvaluationData AnnotationQuality AssuranceLLM

Role Overview:

In this role, you will work on cutting-edge initiatives to fine-tune large language models by leveraging your deep analytical skills and mathematics expertise. The ideal candidate possesses a strong foundation in Mathematics —spanning advanced engineering entrance levels through graduate and PhD-level concepts—and the ability to break down complex phenomena into clear, step-by-step reasoning. You will play a direct role in probing model limitations while learning how to leverage frontier AI tools to future-proof your career.

Requirements:

  • Core Skills: Strong analytical, research, and problem-solving skills with excellent English comprehension.
  • Communication & Feedback: Exceptional structured written communication, with the ability to provide constructive feedback and detailed annotations in a remote environment.
  • Analytical & Creative Thinking: Strong lateral thinking capabilities to construct novel scenarios and evaluate complex reasoning pathways.
  • Independence: Self-motivated and capable of operating independently in a fast-paced, remote-first setup.
  • Technical Infrastructure: Personal desktop/laptop equipped with a stable, high-speed internet connection.

Responsibilities:

  • In this role, you will help set the benchmark for AI capabilities in advanced physical sciences. Your day-to-day responsibilities will include:

    • Problem Creation & Solutioning: Designing and solving challenging physics problems that test the boundaries of large language models.

    • Authoring Gold-Standard Data: Creating clear, high-quality, step-by-step solutions with detailed and articulated reasoning.
    • Research Collaboration: Working with LLM researchers to align task designs with evaluation goals, targeting key areas where models struggle (e.g., symbolic manipulation, abstraction, multi-step reasoning).
    • Benchmark Definition: Helping define and build new evaluation benchmarks across physics curricula ranging from early undergraduate to PhD-level topics.

Education & Experience:

  • Educational background or Doctorate in Mathematics, or an equivalent technical field.
  • Experience in AI evaluation, data annotation, content review, quality assurance, or a related analytical role is preferred but not required.

Offer Details:

  • Remote
  • Full-time dedication (40 hours/week) - 8 hours per day with an overlap of 4 hours with PST.
  • Location: Bangladesh, Brazil, Colombia, Egypt, Ghana, India, Indonesia, Turkey, Vietnam
  • Engagement Length: 12 weeks

Please note: This position is paid on a task based model. The hourly rate listed in this form is only an estimated average to provide compensation context. The final payment will depend on the tasks completed.

Important note: Due to the high volume of applications, we are unable to provide individual feedback at this stage. Only candidates shortlisted for the next steps will be contacted by our team.

Posted 10/6/2026