24-MAG

This opportunity is available through a leading AI-driven work platform.

Engineering Expert

AI EngineerMachine Learning EngineerContractRemote

Location

United States

Posted

10 days ago

Salary

Not specified

LLMPrompt EngineeringModel EvaluationRLHFMechanical EngineeringElectrical EngineeringComputer EngineeringChemical EngineeringMaterials EngineeringCivil EngineeringEnvironmental EngineeringTechnical WritingResearchData Annotation

Job Description

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more.

Role Description

This role supports high-impact collaborations with leading AI teams focused on improving how conversational AI models reason about complex engineering concepts across multiple disciplines.

  • Write and refine prompts that guide AI models in engineering-related scenarios
  • Evaluate AI-generated responses for technical accuracy and applied reasoning
  • Verify engineering claims using domain expertise and authoritative sources
  • Annotate responses by identifying strengths, gaps, and conceptual inaccuracies
  • Assess clarity, structure, and appropriateness of explanations for different audiences
  • Apply structured evaluation guidelines and benchmarking standards
  • Ensure model responses align with expected system behavior and engineering logic

Qualifications

  • PhD in Engineering or a closely related technical discipline
  • Expertise in one or more of the following areas:
    • Mechanical & Physical Systems Engineering
    • Electrical, Electronic & Computer Engineering
    • Chemical, Materials & Process Engineering
    • Civil, Environmental & Infrastructure Engineering
  • Strong experience using large language models (LLMs)
  • Excellent technical writing and explanation skills
  • Strong analytical reasoning and attention to detail
  • Ability to identify subtle technical inaccuracies in model outputs

Requirements

  • Applied research or industry engineering experience
  • Experience with RLHF, model evaluation, or AI data annotation
  • Experience teaching or mentoring technical concepts
  • Familiarity with evaluation rubrics or structured review frameworks

What Success Looks Like

  • Identifying technical inaccuracies or flawed reasoning in engineering outputs
  • Improving the rigor and clarity of AI explanations
  • Producing consistent evaluation artifacts that strengthen model performance
  • Helping ensure AI systems provide reliable engineering guidance

Why This Opportunity

  • Contribute directly to improving the reasoning capabilities of advanced AI systems
  • Apply deep engineering expertise to real-world AI development
  • Work with cutting-edge AI labs and research teams
  • Flexible remote work with competitive compensation

Contract Details

  • Independent contractor role
  • Fully remote with flexible scheduling
  • Compensation: $73.29/hr
  • Weekly payments via Stripe or Wise
  • Projects may expand depending on performance and project needs

About the Platform

This opportunity is available through a leading AI-driven work platform.

Job Requirements

  • PhD in Engineering or a closely related technical discipline
  • Expertise in one or more of the following areas: Mechanical & Physical Systems Engineering Electrical, Electronic & Computer Engineering Chemical, Materials & Process Engineering Civil, Environmental & Infrastructure Engineering
  • Mechanical & Physical Systems Engineering
  • Electrical, Electronic & Computer Engineering
  • Chemical, Materials & Process Engineering
  • Civil, Environmental & Infrastructure Engineering
  • Strong experience using large language models (LLMs)
  • Excellent technical writing and explanation skills
  • Strong analytical reasoning and attention to detail
  • Ability to identify subtle technical inaccuracies in model outputs
  • Applied research or industry engineering experience
  • Experience with RLHF, model evaluation, or AI data annotation
  • Experience teaching or mentoring technical concepts
  • Familiarity with evaluation rubrics or structured review frameworks
  • What Success Looks Like
  • Identifying technical inaccuracies or flawed reasoning in engineering outputs
  • Improving the rigor and clarity of AI explanations
  • Producing consistent evaluation artifacts that strengthen model performance
  • Helping ensure AI systems provide reliable engineering guidance
  • Why This Opportunity
  • Contribute directly to improving the reasoning capabilities of advanced AI systems
  • Apply deep engineering expertise to real-world AI development
  • Work with cutting-edge AI labs and research teams
  • Flexible remote work with competitive compensation
  • Contract Details
  • Independent contractor role
  • Fully remote with flexible scheduling
  • Compensation: $73.29/hr
  • Weekly payments via Stripe or Wise
  • Projects may expand depending on performance and project needs
  • About the Platform
  • This opportunity is available through a leading AI-driven work platform.

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