Research Physicist - Freelance AI Trainer
Mindrift
Employer Active
Posted 7 hrs ago
Send me Jobs like this
Nationality
Any Nationality
Gender
Not Mentioned
Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
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 $35 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.
Desired Candidate Profile
This opportunity is a good fit for physicians 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+).
Company Industry
- Internet
- E-commerce
- Dotcom
Department / Functional Area
- R&D
- Research & Development
Keywords
- Research Physicist - Freelance AI Trainer
Disclaimer: Naukrigulf.com is only a platform to bring jobseekers & employers together. Applicants are advised to research the bonafides of the prospective employer independently. We do NOT endorse any requests for money payments and strictly advice against sharing personal or bank related information. We also recommend you visit Security Advice for more information. If you suspect any fraud or malpractice, email us at abuse@naukrigulf.com
Mindrift
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.