Freelance AI Trainer - Civil Engineering & Python

Mindrift

United States

Remote

USD 75,768

Part time

14 days+

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Benefits offered by this job

Earn up to $55/hour
Flexible, part-time freelance work
Contribute to AI systems reasoning
Engage with innovative AI projects

Job summary

A leading AI consultancy is seeking experienced Civil Engineers with Python skills to freelance as AI Trainers. This remote role involves designing and evaluating AI solutions geared towards real-world engineering problems. Candidates should possess strong analytical ability, 3+ years of relevant experience, and advanced English proficiency. You will earn up to $55/hour and enjoy the flexibility of choosing your projects. Join us to shape the future of AI in civil engineering!

Qualifications

  • 3+ years professional or advanced academic experience in Structural, Geotechnical, or other Civil Engineering domains.
  • Experience evaluating engineering accuracy and assumptions in AI solutions.
  • Ability to design non-trivial engineering problems.

Responsibilities

  • Design technically rigorous civil engineering problems grounded in practice.
  • Evaluate AI solutions for engineering accuracy.
  • Use Python to validate calculations or analyze outputs.
  • Improve AI reasoning to meet engineering codes and standards.
  • Assess model performance with structured criteria.

Skills

Strong Python proficiency
Advanced English proficiency (C1+)
Ability to design computationally intensive problems
Civil engineering expertise

Education

Bachelor’s, Master’s, or PhD in Civil Engineering or related field

Tools

NumPy
Pandas
SciPy

Job description

Freelance AI Trainer – Civil Engineering & Python

1 day ago – Be among the first 25 applicants

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This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English.

At Mindrift, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI.

What We Do

The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real‑world expertise from across the globe.

The Role

We are seeking experienced Civil Engineers with Python skills to train and evaluate AI models on realistic civil engineering problems. This role emphasizes engineering judgment and analytical rigor, not drafting or software development.

What You’ll Do
  • Design technically rigorous civil engineering problems grounded in practice
  • Evaluate AI solutions for engineering accuracy and assumptions
  • Use Python (NumPy, Pandas, SciPy) to validate calculations or analyze outputs
  • Improve AI reasoning to align with codes, standards, and professional logic
  • Apply structured scoring criteria to assess model performance
How To Apply

Apply with your resume (English). Complete a short qualification process and get matched to projects aligned with your specialization.

Effort Estimate

Tasks for this project are estimated to take 6–10 hours to complete, depending on complexity. This is an estimate and not a schedule requirement; you choose when and how to work. Tasks must be submitted by the deadline and meet the listed acceptance criteria to be accepted.

Requirements
  • Bachelor’s, Master’s, or PhD in Civil Engineering or related field
  • Strong Python proficiency
  • 3+ years professional or advanced academic experience in one or more of:
    • Structural, Geotechnical, Transportation
    • Water Resources, Environmental, Hydraulic
    • Construction Engineering & Management
    • Infrastructure, Coastal, Earthquake, Sustainable Engineering
  • Advanced English proficiency (C1+)
  • Ability to design computationally intensive, non‑trivial problems
Benefits
  • Earn up to $55/hour for your expertise
  • Fully remote, flexible, part‑time freelance work
  • Contribute to how future AI systems reason about mechanical engineering
  • Work on technically rigorous, non‑routine problems
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