Data Analyst - Physics

DataAnnotation; Des Moines (IA); Remote; USD 80,000 - 100,000; Full time

Job summary

An innovative company is looking for a skilled Data Analyst with a strong background in physics to enhance AI models. This remote position offers flexibility in project selection and scheduling, allowing you to contribute to cutting-edge AI technology. You will be responsible for evaluating AI chatbot performance and solving complex physics problems, making your expertise invaluable. If you are detail-oriented and passionate about physics, this opportunity provides a unique chance to work with AI in a dynamic environment while enjoying competitive hourly compensation.

Qualifications

• Expert understanding of physics required.
• Masters/PhD preferred but not mandatory.

Responsibilities

• Provide AI chatbots with complex physics problems.
• Evaluate correctness and performance of AI models.

Skills

Physics expertise

Mathematical proficiency

Detail-oriented

Reasoning skills

Spatial-temporal thinking

Education

Masters in Physics

PhD in Physics

Relevant Engineering Degrees

Job description

Join to apply for the Data Analyst - Physics role at DataAnnotation.

We are seeking a physics professional to join our team to train AI models. Your responsibilities will include measuring AI chatbot progress, evaluating their logic, and solving problems to enhance model quality.

Candidates should have an expert understanding of physics. A completed or in-progress Masters/PhD is preferred but not mandatory. Relevant fields include, but are not limited to: Astrophysics, Biophysics, Electrical Engineering, Nuclear Engineering, Chemical Engineering, and Mathematics.

This position can be full-time or part-time and is REMOTE. You will have the flexibility to choose projects and work on your schedule. Compensation starts 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, and spatial-temporal thinking.
• A current, in-progress, or completed Masters and/or PhD is preferred but not required.

Note: Payments are processed via PayPal. We will never request money from applicants. PayPal handles currency conversions from USD.