Remote, Freelance Engineering Expert - Advanced Question Designer

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

Summary

We are seeking experienced Engineering experts to develop a set of original, high-level question & answer pairs, which must be multimodal - containing essential visual components. This project supports the evaluation and training of advanced AI systems through the creation of reasoning-intensive, graduate-level problems that are resistant to surface-level AI solutions.


Project Overview

Our goal is to build a challenging dataset that pushes the boundaries of current AI capabilities in question answering. The questions must test deep conceptual understanding, multi-step reasoning, and problem-solving physics.

The questions must incorporate visuals (e.g., graphs, diagrams, models) that are essential to solving the problem. Each question will be tested against the latest AI model and must include a conversation log demonstrating the model’s performance with and without hints.


Challenges

  • Relevant fields include but are not limited to:
  • Electrical Engineering

    – Circuit design, electromagnetics, signal processing, control systems.
  • Mechanical Engineering

    – Thermodynamics, fluid mechanics, dynamics, material science, system design.
  • Civil Engineering

    – Structural analysis, geotechnical engineering, transportation systems, construction planning.
  • Chemical Engineering

    – Process engineering, chemical reactions, thermodynamics, materials and safety design.
  • Biomedical Engineering

    – Medical device design, biomechanics, bioinstrumentation, tissue engineering.
  • Environmental Engineering

    – Wastewater treatment, air quality control, environmental impact assessment, sustainability solutions.
  • Computer Engineering

    – Embedded systems, hardware design, computer architecture, digital systems.
  • Questions must be challenging for current AI models, requiring expert-level knowledge and reasoning.
  • Questions should be "Google-proof", meaning they cannot be easily answered through simple web searches.
  • Answers must be unambiguous and verifiable to ensure consistency in AI evaluation.


Responsibilities

  • Create high-difficulty questions (~graduate-level or upper undergraduate level) in your area of expertise.
  • Write a detailed explanation and/or solution for each question.
  • Ensure questions are original and not copied from textbooks or previous tests.
  • Must be able to provide concise, informative hints designed to help advanced AI models reason through and answer the question correctly.


Qualifications

We are seeking individuals with the following profile:

  • Education: A Master’s degree (or higher) is nice to have. Ph.D. holders are strongly preferred.
  • Expertise: Deep academic or professional knowledge related field.
  • Writing Skills: Excellent written English; ability to write clear, rigorous questions and explanations
  • Reasoning Skills: Ability to craft problems requiring advanced, multi-step reasoning rather than rote recall.
  • Image Design: Comfortable identifying or creating visuals (e.g., graphs, diagrams) that are crucial to solving problems.


Compensation

  • Competitive rates based on the number and quality of questions submitted.
  • Opportunity for ongoing collaboration as we expand the dataset and undertake future projects.


Why Join Us

  • Help shape the next generation of AI by providing expert-level, original content.
  • Contribute to a globally impactful project in AI research and STEM education.
  • Collaborate remotely with a professional, motivated team.
  • Enjoy flexibility and independence in your working hours.



Application Instruction

To apply via LinkedIn, please submit:

  • Your resume or CV, emphasizing your academic background and subject expertise.
  • A sample of prior academic work, such as original questions, assessments, or published content (if available).

Additional Notes

  • This is a remote freelance role with flexible scheduling.
  • All content will be reviewed and must pass originality and quality checks.
  • Questions will undergo a review process to ensure they meet the dataset’s standards

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