Mindrift Project Opportunity
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 physicists 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 $76 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.
Mindrift Project Opportunity
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 physicists 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 $76 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.
