About the job
Please submit your CV in English and specify your English proficiency level.
Toloka AI is at the forefront of AI technology, connecting skilled professionals with exciting project-based opportunities in collaboration with top tech firms. Our focus lies in the testing, evaluation, and enhancement of AI systems. Note that participation is on a project basis, rather than permanent employment.
What You Will Do
Each project presents unique challenges, and contributors may be involved in activities such as:
- Creating original optics problems that replicate authentic physics research workflows;
- Ensuring problems are computationally demanding and cannot be solved manually within reasonable timeframes (days/weeks);
- Developing issues that necessitate complex reasoning across mechanics, electromagnetism, thermodynamics, and quantum mechanics;
- Grounding problems in actual research challenges or practical applications drawn from optics and physics;
- Clearly documenting problem statements and providing verified correct solutions.
Who We Are Looking For
This opportunity is ideal for optical engineers seeking part-time, non-permanent projects. The ideal candidate will possess:
- A degree in Physics (Theoretical, Experimental, or Computational) or related fields;
- At least 2 years of professional experience in applicable areas such as applied research or teaching;
- Familiarity with numerical simulation methods;
- Ability to design problems that reflect real-world physics research workflows;
- Innovative thinking in problem design across various physics fields;
- Knowledge of physics modeling and approximation techniques;
- Strong written English skills (C1+).
How the Process Works
Apply → Pass qualifications → Join a project → Complete tasks → Get compensated.
Project Commitment
During active phases, tasks are estimated to require approximately 10–20 hours per week based on project needs. This is an estimate and not a guaranteed workload.
Compensation
Contributors can earn up to $35 per hour, depending on their expertise and contribution speed. Compensation may vary across projects based on their complexity and requirements.
