Energy Research Scientist - AI Trainer
1 Month ago
Triana, Alabama, United States
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Job Description
DataAnnotation is seeking an Energy Research Scientist - AI Trainer to train AI models, evaluate their performance, and solve related problems. Candidates should have expertise in physics, chemistry, or related fields, with a preference for those holding a Masters or PhD. The position is full-time or part-time, remote, and offers flexible scheduling with hourly pay starting at $40.
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.
Submit your CV and any additional required information after you have read this description by clicking on the application button.
In this role you will need to hold an expert understanding of physics and chemistry- a completed or in progress Masters/PhD is preferred but not required. Other related fields include, but are not limited to: Environmental Science, Energy Economics, Mechanical Engineering, Electrical Engineering, Materials Science, Chemical Engineering, Physics, Agricultural Science.
Benefits:
• 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
Responsibilities:
• Give AI chatbots diverse and complex problems and evaluate their outputs
• Evaluate the quality produced by AI models for correctness and performance
Qualifications:
• 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.
#INDUSPHY
Job Types: Full-time, Part-time
Pay: From $40.00 per hour
Work Location: Remote
DataAnnotation
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