Content Developer (Physics)

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

Job summary

A leading company in AI development is looking for a Content Developer specializing in Physics. This remote opportunity allows you to contribute to the training of AI models by solving diverse physics problems while enjoying flexible hours. Ideal candidates are physics experts with advanced degrees, eager to enhance AI quality through their expertise.

Qualifications

• Preferred background includes expertise in Physics or related fields.
• Ongoing or completed Masters/PhD is preferred.
• Strong understanding of mathematics and reasoning skills.

Responsibilities

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

Skills

Fluency in English

Detail-oriented

Mathematics

Inductive reasoning

Deductive reasoning

Physical reasoning

Temporal reasoning

Spatial reasoning

Education

Masters or PhD in Physics or related fields

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.