Data Specialist

Description:

Mercor, a San Francisco–based company backed by leading investors including Benchmark, General Catalyst, Peter Thiel, Adam D’Angelo, Larry Summers, and Jack Dorsey, is a platform that connects elite scientific and technical talent with world-class AI research labs. The company is at the forefront of advancing artificial intelligence by integrating deep domain expertise into state-of-the-art large language model projects.

As a Physics PhD – Data Specialist, you will play a key role in enhancing the accuracy, reliability, and depth of AI systems by applying your advanced physics knowledge to evaluate, design, and refine model outputs. This is a flexible, remote contractor role offering opportunities to work on high-impact projects shaping the future of AI innovation.

Key Responsibilities:

• Evaluate the accuracy and depth of AI-generated content in the field of Physics.

• Review and refine complex scientific material to ensure it aligns with established physics principles and methodologies.

• Design and create challenging physics problems and datasets to strengthen AI model training.

• Provide detailed feedback to AI research teams for improving the scientific accuracy of AI outputs.

• Develop evaluation rubrics for systematically assessing AI-generated physics-related content.

• Collaborate with other subject matter experts to ensure high standards and consistency across training datasets.

• Work independently and asynchronously while meeting deadlines and delivering high-quality work.

Candidate Requirements:

• Must possess a PhD in Physics from a top-tier university in the US, UK, Canada, or Europe.

• Strong proficiency in scientific research methodologies, problem solving, and critical thinking.

• Exceptional written and verbal communication skills with high attention to detail.

• Excellent command of the English language.

Preferred Skills & Experience:

• Knowledge of machine learning and AI model development.

• Experience in programming (Python preferred).

• Background in scientific writing, data analysis, and research publication.

• Ability to collaborate effectively with interdisciplinary teams.

Engagement Details:

• Contract Type: Hourly contractor, fully remote and asynchronous.

• Workload: 15–20 hours per week, with potential extension up to 40 hours per week.

• Duration: Minimum commitment of 1–2 months, with opportunities for extension.

• Compensation: Competitive hourly pay ($60–$80/hr), paid weekly via Stripe Connect.

• Start Date: Ongoing recruitment with rolling applications.

Application Process:
The application involves two simple steps and typically takes 20–30 minutes to complete:

1. Short AI interview.

2. Submission of a written application form.

Resources & Support:

• Details about the interview process and platform: Mercor Talent Docs

• For any assistance during the process, applicants can contact support@mercor.com.