Optical Engineer – Freelance AI Trainer

Remote from: Spain
Salary, yearly, USD: 58,000
Department: Software Engineering
Employment type: Full Time,
Job posted: 30 May 2026
Apply before: 30 Jun 2026
Experience level: Midweight
Views / Applies: 36 / 11

Mindrift connects AI experts and clients to advance Generative AI models.

Actively Hiring

AI Summary

This freelance role involves designing original optics problems for AI training, simulating real physics research workflows. You'll create computationally intensive problems requiring non-trivial reasoning in mechanics, electromagnetism, thermodynamics, and quantum mechanics. The position is project-based, not permanent, with an estimated 10-20 hours per week during active phases. Ideal candidates have a degree in Physics or related fields, 2+ years of professional experience, and strong written English. Compensation is up to $29 per hour, equivalent to an estimated annual salary of $60,320 based on 40-hour weeks.

Role DNA

Job Complexity

Easy Hard

Pace & Pressure

Relaxed Fast-paced

Autonomy Level

Guided Full Ownership

Communication Load

Independent Highly Collaborative

AI Insight The role requires advanced physics knowledge and creative problem design, but tasks are project-based with clear objectives, making it challenging but not extremely difficult.

Salary Analysis

AI Insight The offered salary of up to $29/hour ($60,320 annualized) is below the US market median for optical engineers ($100,000), likely due to the freelance, project-based nature and remote work. This is competitive for part-time, non-permanent roles but lower than typical full-time positions.

Key Skills

Optics Physics Problem Design Numerical Simulation Mechanics Electromagnetism Thermodynamics Quantum Mechanics AI Training Freelance

Cover Letter Sample

Dear Hiring Team,

I am excited to apply for the Optical Engineer - Freelance AI Trainer position. With a degree in Physics and over 3 years of experience in optical engineering and numerical simulation, I have a strong background in designing complex problems that mirror real research workflows. My expertise in mechanics, electromagnetism, and quantum mechanics, combined with proficiency in Python and COMSOL, allows me to create computationally intensive problems that challenge AI systems.

I am particularly drawn to the opportunity to contribute to cutting-edge AI development while working on flexible, project-based tasks. My ability to communicate complex concepts clearly in English (C2 level) ensures that problem statements are well-documented and accessible. I am confident that my problem-solving skills and attention to detail will add value to your projects.

Thank you for considering my application. I look forward to the possibility of collaborating with Mindrift.

Sincerely,
[Your Name]

Possible Interview Questions

Can you describe a complex optics problem you've designed that required computational simulation?

I designed a problem involving light propagation through a gradient-index lens, where the refractive index varied spatially. I used ray tracing and wave optics simulations to model the behavior, ensuring the problem required numerical methods to solve due to the non-linear index distribution. The solution involved implementing a Runge-Kutta integration for ray paths and validating against analytical approximations.

How do you ensure that an optics problem is computationally intensive and cannot be solved manually?

I incorporate elements like non-linear materials, complex geometries, or coupled physics (e.g., thermal effects). For instance, I might design a problem with a random inhomogeneous medium where analytical solutions are impossible, requiring Monte Carlo simulations or finite-difference time-domain methods. I also set parameters that lead to chaotic behavior or require iterative root-finding.

What experience do you have with numerical simulation methods relevant to optics?

I have extensive experience with Python and MATLAB for simulations, including using libraries like SciPy, NumPy, and custom FDTD codes. I've also worked with commercial software like COMSOL Multiphysics for electromagnetic simulations. In one project, I simulated light scattering from nanoparticles using Mie theory and compared with FDTD results.

How do you approach designing a problem that spans multiple physics domains, such as mechanics and thermodynamics?

I identify a real-world application, like laser-induced thermal effects in materials. I combine optics (laser beam propagation), thermodynamics (heat diffusion), and mechanics (thermal expansion). The problem requires solving coupled PDEs numerically, with the laser source as a heat input. I ensure each domain is accurately modeled and the interactions are non-trivial.

Can you give an example of a creative problem you designed that required non-trivial reasoning?

I designed a problem about a quantum dot in a cavity where the emission spectrum is modified by the cavity's optical modes. The problem required solving the Schrödinger equation for the dot and Maxwell's equations for the cavity, then coupling them via the Purcell effect. The reasoning chain involved understanding energy level shifts, mode density calculations, and rate equations, which cannot be solved analytically for arbitrary geometries.

Please submit your CV in English and indicate your level of English proficiency.

Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.

What this opportunity involves

While each project involves unique tasks, contributors may:

Design original optics problems that simulate real physics research workflows;
Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks);
Develop problems requiring non-trivial reasoning chains in mechanics, electromagnetism, thermodynamics, and quantum mechanics;
Base problems on real research challenges or practical applications from optics & physics practice;
Document problem statements clearly and provide verified correct answers.

What we look for

This opportunity is a good fit for optical engineers open to part-time, non-permanent projects. Ideally, contributors will have:

Degree in Physics (Theoretical, Experimental, or Computational) or related fields;
2+ years of professional experience: applied, research, or teaching experience is applicable;
Experience with numerical simulation methods;
Ability to design problems that mirror real physics research workflows;
Creative thinking in problem design across diverse physics areas;
Familiarity with physics modeling and approximation techniques;
Strong written English (C1+).

How it works

Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid

Project time expectations

For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.

Compensation

On this project, contributors can earn up to $29 per hour equivalent, depending on their level and pace of contribution.

Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.

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