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AI Trainer for Physics (Freelance, Remote)

Alignerr
Beaconsfield
8 months ago
Applications closed

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Job Description Alignerr.com is a community of subjectmatter experts from several disciplines who align AI models bycreating high-quality data in their field of expertise to build thefuture of Generative AI. Alignerr is operated by Labelbox. Labelboxis the leading data-centric AI platform for building intelligentapplications. Teams looking to capitalize on the latest advances ingenerative AI and LLMs use the Labelbox platform to inject thesesystems with the right degree of human supervision and automation.Whether they are building AI products by using LLMs that requirehuman fine-tuning, or applying AI to reduce the time associatedwith manually-intensive tasks like data labeling or findingbusiness insights, Labelbox enables teams to do so effectively andquickly. Current Labelbox customers are transforming industrieswithin insurance, retail, manufacturing/robotics, healthcare, andbeyond. Our platform is used by Fortune 500 enterprises includingWalmart, Procter & Gamble, Genentech, and Adobe, as well ashundreds of leading AI teams. We are backed by leading investorsincluding SoftBank, Andreessen Horowitz, B Capital, GradientVentures (Google's AI-focused fund), Databricks Ventures, SnowpointVentures and Kleiner Perkins. About the Role Shape the future of AIin Physics. This innovative role as an AI Trainer - Physics offersa unique opportunity to leverage your subject-matter expertise anddevelop your AI skills. You will play a pivotal role in training AImodels, ensuring the accuracy and relevance of Physics contentgenerated by AI. This position allows for flexible scheduling, andyour contributions will directly impact the advancement of AI inPhysics. Your Day to Day - Educate AI: Analyze and provide feedbackon AI-generated outputs related to Physics Your guidance willdirectly improve the AI's accuracy and ability to apply itsknowledge to real-world problems. - Problem Solving: Using yourexpertise, you will provide step-by-step solutions and explanationsto complex problems in Physics. This could include solving problemsrelated to projectile motion, electromagnetic fields, waveinterference, energy conservation, and relativity ,etc. Your inputwill be crucial in teaching the AI how to reason through theseproblems effectively. - Red Teaming: Utilize your deepunderstanding of the field to identify potential biases,limitations, or inaccuracies in the AI's knowledge base. Design andconduct tests that push the boundaries of the model'sunderstanding, ensuring its outputs are reliable and applicable toreal-world scenarios. - You create your own working hours dependingon project length. About You - Enrolled in or have completed anAssociates’ degree or higher from an accredited institution. -Native-level proficiency in Physics. - Possess a strong writingstyle with excellent English-language spelling and grammar skills.- Have a critical eye and the ability to clearly articulate thestrengths and weaknesses of written text. - Professional writingexperience as a researcher, journalist, technical writer, editor,or similar roles - Interest in AI and machine learning conceptsImportant Information This is a freelance position compensated onan hourly basis. Please note that this is not an internshipopportunity. Candidates must be authorized to work in their countryof residence, and we do not offer sponsorship for this 1099contract role. International students on a valid visa may beeligible to apply; however, specific circumstances should bediscussed with a tax or immigration advisor. We are unable toprovide employment documentation at this time. Compensation ratesmay vary for non-US locations. Pay Range (rate per hour) $15—$60USD Excel in a remote-friendly hybrid model.We are dedicated toachieving excellence and recognize the importance of bringing ourtalented team together. While we continue to embrace remote work,we have transitioned to a hybrid model with a focus on nurturingcollaboration and connection within our dedicated tech hubs in theSan Francisco Bay Area, New York City Metro Area, and Wrocław,Poland. We encourage asynchronous communication, autonomy, andownership of tasks, with the added convenience of hub-basedgatherings. Your Personal Data Privacy: Any personal informationyou provide Labelbox as a part of your application will beprocessed in accordance with Labelbox’s Job Applicant Privacynotice. Any emails from Labelbox team members will originate from email address. If you encounter anything that raisessuspicions during your interactions, we encourage you to exercisecaution and suspend or discontinue communications. If you areuncertain about the legitimacy of any communication you havereceived, please do not hesitate to reach out to us for clarification andverification.

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