AI Trainer for Physics (College Degree Required)
Employer: Alignerr | Location: Crowborough | Salary: Competitive | Closing date: 1 May 2025
Sector: Finance | Function: Financial | Contract Type: Permanent | Hours: Full Time
Alignerr is a community of subject matter experts from various disciplines dedicated to aligning AI models by creating high-quality data within their fields to advance Generative AI. Operated by Labelbox, the leading data-centric AI platform, our platform helps teams leverage the latest in generative AI and LLMs through human supervision and automation. Our clients include Fortune 500 companies like Walmart, Procter & Gamble, Genentech, and Adobe, and our investors include SoftBank, Andreessen Horowitz, and others.
About the Role
Shape the future of AI in Physics. This role offers a unique opportunity to apply your physics expertise to train AI models, ensuring the accuracy and relevance of AI-generated physics content. The position offers flexible scheduling and a direct impact on AI development in Physics.
Your Day-to-Day Responsibilities
* Educate AI: Analyze and provide feedback on AI outputs related to Physics to improve accuracy and applicability.
* Problem Solving: Provide solutions and explanations for complex Physics problems, such as projectile motion, electromagnetic fields, wave interference, energy conservation, and relativity.
* Red Teaming: Identify biases, limitations, or inaccuracies in AI knowledge, and design tests to challenge the model's understanding.
* Work Flexibility: Create your own working hours based on project needs.
About You
* Enrolled in or have completed an Associate's degree or higher from an accredited institution.
* Fluent in Physics with excellent English writing skills.
* Strong analytical and articulation skills to evaluate written content.
* Experience in research, journalism, technical writing, editing, or similar roles.
* Interest in AI and machine learning concepts.
Important Information
This is a freelance, hourly-paid position. Candidates must be authorized to work in their country; sponsorship is not provided. International students on valid visas may apply after consulting with a legal advisor. No employment documentation will be provided. Rates vary by location.
Work Model: Remote-friendly hybrid model with hubs in San Francisco Bay Area, New York City, and Wrocław, Poland. Emphasis on asynchronous communication and collaboration.
Privacy Notice: Personal data will be processed according to Labelbox's privacy policy. Be cautious of suspicious communications and verify legitimacy by contacting us directly.
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