Civil Engineer & Python Specialist - Freelance AI Trainer
toloka-aiRemote — San Antonio, Texas, United States
Remote Contract
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Experience Level
Experience
Qualifications
• Proven expertise in Civil Engineering with a strong grasp of Python programming.• Ability to articulate complex concepts in an accessible manner.• Experience in training or educational roles is a plus.• Strong communication skills and a passion for teaching.
About the job
toloka-ai seeks a freelance AI Trainer who combines expertise in civil engineering with strong Python programming skills. This fully remote contract centers on supporting learners interested in artificial intelligence, with a focus on candidates based in San Antonio, Texas.
Role overview
This position involves sharing technical knowledge and practical experience to help others build their skills in AI. The work is project-based and offers flexibility in schedule and approach.
What you will do
Mentor and guide individuals exploring AI, using a background in civil engineering and Python to clarify concepts.
Assist others in developing technical skills and understanding foundational topics relevant to artificial intelligence.
Location
This role is remote, with a preference for those located in San Antonio, Texas, United States.
About toloka-ai
toloka-ai is at the forefront of AI education, dedicated to nurturing the next generation of AI professionals. We provide innovative training solutions that empower individuals to excel in technology-driven careers.
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Please submit your CV in English and specify your English proficiency level. This freelance, project-based role with toloka-ai (via Mindrift) centers on testing, evaluating, and improving AI systems for technology clients. The work is remote and based in Virginia, United States. This position does not offer permanent employment. Role overview Material Scientists in this role design and document engineering problems that mirror real-world workflows. The focus is on creating computational challenges that require Python for calculations and simulations. Problems should involve numerical methods, iterative solutions, and reflect real research questions or practical engineering scenarios. Each task must be validated using Python and established engineering libraries, with clear documentation and verified solutions. Key responsibilities Develop original materials engineering problems based on real applications Create complex challenges requiring Python programming Ensure tasks are computationally intensive and use numerical or iterative methods Design scenarios involving system design, optimization, and analysis Validate solutions with Python and relevant libraries Document problem statements and provide verified solutions Requirements Degree in Material Science or a related discipline Strong Python skills for numerical validation; experience with MATLAB, R, C, SQL, Numpy, Pandas, SciPy, Stata, or similar languages is a plus Minimum of 2 years’ relevant experience (applied, research, or teaching) Understanding of practical engineering constraints and approximations Excellent written English (C1 level or above) Process Apply Pass qualification(s) Join a project Complete tasks Receive compensation Time commitment Projects generally require 10–20 hours per week during active periods. Actual workload may change depending on project needs. Compensation Contributors can earn up to $76 per hour, depending on experience, pace, and project scope. Rates may vary according to complexity and required expertise.
Apr 24, 2026
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