Remote LLM Engineering Expert - Freelance, Immediate Start

ZettaMine Labs Pvt. Ltd.

Turkey

Remote

TRY 2,716,000 - 6,111,000

Part time

20 hours ago
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Benefits offered by this job

Remote freelance
Immediate start
Global collaboration

Job summary

ZettaMine Labs Pvt. Ltd. is seeking LLM–Engineering Experts to support an AI-focused evaluation project with global partners.

This remote freelance engagement requires deep engineering design and simulation skills, strong Python scripting, and hands-on experience with modern LLMs and coding agents. Eligible candidates have 10+ years of engineering design experience, advanced degrees, and proficiency with open-source tools. LinkedIn profile is mandatory for review.

Qualifications

  • Master’s degree or PhD in Electrical Engineering, Mechanical Engineering, Aerospace Engineering
  • 10+ years of hands-on engineering design experience
  • Strong proficiency in at least one domain-relevant open-source simulation package such as ngspice, PySpice, OpenFOAM, FEniCSx, CalculiX, python-control, CadQuery, build123d, OpenModelica, Cantera, or Gmsh
  • Strong Python scripting skills for engineering simulations, automation, analysis, and test benches
  • Hands-on experience with modern LLMs and coding agents, along with knowledge of AI evaluation concepts such as pass@k, failure-mode analysis, and nondeterministic behavior
  • Ability to audit AI agent trajectory logs, identify reasoning and tool-use failures, and diagnose systematic model behavior
  • Strong understanding of physical plausibility, unit consistency, boundary conditions, convergence criteria, and engineering documentation
  • Strong analytical and problem-solving skills with the ability to design complex engineering problems and evaluate technical solutions
  • Experience working with engineering simulation, computational modeling, design validation, or related technical environments

Responsibilities

  • Author original, self-contained engineering design and simulation problems
  • Develop problems with competing constraints, explicit optimization objectives, validated reference solutions, and objective automated graders
  • Build, run, and validate problem environments using open-source simulation tools and custom Python test benches
  • Evaluate AI-generated engineering solutions and coding-agent execution logs across repeated trials
  • Identify systematic AI failure modes, including misinterpretation of simulator feedback, premature design convergence, physically impossible geometries, and incorrect tool usage
  • Analyze model performance and iteratively calibrate benchmark difficulty without introducing ambiguity or missing information
  • Translate complex engineering requirements into practical, measurable AI evaluation tasks
  • Validate simulation outputs for physical correctness, engineering feasibility, unit consistency, boundary conditions, and convergence
  • Collaborate with AI researchers, pod leads, and other engineering domain experts to integrate high-rigor benchmarks into AI model evaluation pipelines
  • Develop reusable evaluation assets, reference solutions, test benches, simulation environments, and automated grading systems
  • Contribute technical insights to improve the performance and reliability of frontier AI models

Skills

Engineering design
Python scripting
LLMs & agents
AI evaluation concepts
Audit AI logs
Simulation & modeling
Analytical thinking
Remote collaboration

Education

M.S./PhD in EE/ME/AE
Related engineering discipline

Tools

ngspice
PySpice
OpenFOAM
FEniCSx
CalculiX
python-control
CadQuery
build123d
OpenModelica
Cantera
Gmsh

Job description

ZettaMine Labs Pvt. Ltd. is seeking LLM–Engineering Experts to support an AI-focused evaluation project with global partners.

This remote freelance engagement requires deep engineering design and simulation skills, strong Python scripting, and hands-on experience with modern LLMs and coding agents. Eligible candidates have 10+ years of engineering design experience, advanced degrees, and proficiency with open-source tools. LinkedIn profile is mandatory for review.

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