Gramian Consulting
Gramian Consulting
Gramian Consulting is a remote-first consulting firm focused on engineering, data, and AI talent. It helps organizations expand technical capacity through talent augmentation, recruiting, dedicated teams, and contractor management, while providing services such as LLM training and fine-tuning, AI agents and assistants, MLOps, and AI infrastructure. The firm also supports individual career development through mentorship and education programs covering career readiness, interview preparation, and international market orientation. Its work combines hands-on engineering and recruiting experience to help clients build technical teams and apply AI to business needs.

Physics and Python Specialist – Remote Contract in Bangladesh

Create verified physics coding tasks for Gramian Consulting’s AI research initiative. Build deterministic Python solutions, tests, and evaluations for assessing large language model outputs.

Description

  • Create scientific coding tasks built around a primary physics problem and at least three connected sub-problems
  • Build validated Python reference solutions with comprehensive unit test coverage
  • Write targeted tests that separate correct AI-generated solutions from incorrect ones
  • Run Tier 1 structural checks and Tier 2 quality reviews in the Turing Central Task Platform (CTP)
  • Update tasks and solutions in response to quality-control feedback
  • Refine tasks to satisfy Pass@K criteria across GPT, Gemini, Nemotron, and other LLM judges
  • Check scientific accuracy, problem formulation, determinism, and expected results
  • Deliver strong first submissions while keeping rework to a minimum
  • Join reviews, feedback meetings, and project standups during required overlap hours

Requirements

  • Master’s degree or PhD in Physics
  • Advanced Python programming ability, including scientific computing experience
  • Hands-on experience with NumPy, SciPy, SymPy, or comparable domain-specific scientific Python tools
  • Ability to define rigorous physics problems with explicit constraints and expected outputs
  • Experience developing scientific implementations with unit tests and deterministic results
  • Previous work in AI data annotation, scientific research, or technical scientific writing
  • Familiarity with LLM assessment frameworks or coding benchmarks
  • Published physics research or academic project experience in physics or another STEM field

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