Content Developer (Physics)

DataAnnotation; Nova Scotia; Remote; CAD 60,000 - 80,000; Full time

Job summary

An innovative company is seeking a physics expert for a remote Content Developer role. This position involves training AI models by providing complex physics problems and evaluating their logic. Candidates should possess a strong understanding of physics, with a preference for those holding a Masters or PhD. Enjoy the flexibility of choosing projects and working on your own schedule, all while being compensated hourly for your expertise. Join a forward-thinking team and contribute to enhancing AI quality in a supportive environment.

Qualifications

• Strong understanding of physics is required.
• Masters or PhD preferred but not mandatory.

Responsibilities

• Provide AI chatbots with diverse physics problems.
• Evaluate the outputs and performance of AI models.

Skills

Physics Expertise

Mathematics

Inductive Reasoning

Deductive Reasoning

Detail-oriented

Education

Masters in Physics

PhD in Physics

Related Fields (Astrophysics, Biophysics, etc.)

Job description

Join to apply for the Content Developer (Physics) role at DataAnnotation.

We are seeking a physics expert to join our team to train AI models. Your responsibilities will include measuring the progress of AI chatbots, evaluating their logic, and solving problems to enhance each model's quality.

Requirements include a strong understanding of physics—an ongoing or completed Masters/PhD is preferred but not mandatory. Related fields include, but are not limited to: Astrophysics, Biophysics, Electrical Engineering, Nuclear Engineering, Chemical Engineering, Mathematics.

This is a full-time or part-time REMOTE position.

You will have the flexibility to choose projects and work on your own schedule.

Projects are paid hourly starting at $40+ per hour, with bonuses for high-quality and high-volume work.

Responsibilities:

• Provide AI chatbots with diverse and complex physics problems and evaluate their outputs.
• Assess the correctness and performance of AI models.

Qualifications:

• Fluency in English (native or bilingual level).
• Detail-oriented.
• Proficient in mathematics, reasoning (inductive/deductive), and physical, temporal, spatial reasoning.
• A current, in-progress, or completed Masters and/or PhD is preferred but not required.

Note: Payments are made via PayPal. We do not request any money from applicants. PayPal handles currency conversions from USD. This opportunity is available only to residents of the US, UK, Canada, Australia, or New Zealand.