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Energy Research Scientist - AI Trainer
Job summary
A tech research company is looking for an energy research scientist to join their remote team. You will evaluate and solve complex problems for AI chatbots, ensuring quality and performance. This role offers flexibility in project choice and scheduling, with compensation starting at $40 per hour. Ideal candidates are detail-oriented, fluent in English, and preferably hold a Masters or PhD.
Benefits
Qualifications
- Fluency in English (native or bilingual level).
- Detail-oriented with strong reasoning skills.
- Preferred educational qualifications include a related Masters or PhD.
Responsibilities
- Give AI chatbots diverse and complex problems and evaluate their outputs.
- Evaluate the quality produced by AI models for correctness and performance.
Skills
Education
We are looking for an energy research scientist to join our team to train AI models. You will measure the progress of these AI chatbots, evaluate their logic, and solve problems to improve the quality of each model.
- This is a full-time or part-time REMOTE position
- You'll be able to choose which projects you want to work on
- You can work on your own schedule
- Projects are paid hourly starting at $40+ per hour, with bonuses on high-quality and high-volume work
- Payment is via PayPal. We will never ask for any money from you.
- Work Location: Remote
- Give AI chatbots diverse and complex problems and evaluate their outputs
- Evaluate the quality produced by AI models for correctness and performance
- Fluency in English (native or bilingual level)
- Detail-oriented
- Proficient in inductive/deductive reasoning, physical/temporal/spatial reasoning, research methods
- A current, in progress, or completed Masters and/or PhD is preferred but not required
Note: Payment is made via PayPal. We will never ask for any money from you.
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.
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