Alignerr.com is a community of subject matter experts from several disciplines who align AI models by creating high-quality data in their field of expertise to build the future of Generative AI. Alignerr is operated by Labelbox. Labelbox is the leading data-centric AI platform for building intelligent applications. Teams looking to capitalize on the latest advances in generative AI and LLMs use the Labelbox platform to inject these systems with the right degree of human supervision and automation. Whether they are building AI products by using LLMs that require human fine-tuning, or applying AI to reduce the time associated with manually-intensive tasks like data labeling or finding business insights, Labelbox enables teams to do so effectively and quickly.
Current Labelbox customers are transforming industries within insurance, retail, manufacturing/robotics, healthcare, and beyond. Our platform is used by Fortune 500 enterprises including Walmart, Procter & Gamble, Genentech, and Adobe, as well as hundreds of leading AI teams. We are backed by leading investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures and Kleiner Perkins.
About the Role - Shape the future of AI in Astrophysics. This innovative role as an AI Trainer - Astrophysics offers a unique opportunity to leverage your subject-matter expertise and develop your AI skills. You will play a pivotal role in training AI models, ensuring the accuracy and relevance of astrophysics concepts generated by AI. This position allows for flexible scheduling, and your contributions will directly impact the advancement of AI in Astrophysics.
Your Day-to-Day Educate AI: Analyze and provide feedback on AI-generated outputs related to astrophysics. Your guidance will improve the AI's accuracy in topics such as stellar evolution, cosmology, and gravitational forces. Problem Solving: Use your expertise to provide step-by-step solutions and explanations for problems involving galaxy formation, dark matter, and celestial mechanics. Your input will help AI learn to reason through astrophysics challenges effectively. Red Teaming: Identify potential biases, inaccuracies, or limitations in the AI's understanding of astrophysics. Design tests that ensure its outputs are robust and applicable to practical applications. You create your own working hours depending on project length. About You Enrolled in or have completed a Bachelor's degree or higher from an accredited institution. Native-level proficiency in Astrophysics. Possess a strong writing style with excellent English-language spelling and grammar skills. Have a critical eye and the ability to clearly articulate the strengths and weaknesses of written text. Professional writing experience as a researcher, journalist, technical writer, editor, or similar roles. Interest in AI and machine learning concepts. Important Information This is a freelance position compensated on an hourly basis. Please note that this is not an internship opportunity. Candidates must be authorized to work in their country of residence, and we do not offer sponsorship for this 1099 contract role. International students on a valid visa may be eligible to apply; however, specific circumstances should be discussed with a tax or immigration advisor. We are unable to provide employment documentation at this time. Compensation rates may vary for non-US locations.
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected hourly rate range for United States-based candidates is below. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location. Pay Range (rate per hour) $15 - $150 USD
Labelbox strives to ensure pay parity across the organization and discuss compensation transparently. The expected hourly rate range for United States-based candidates is below. Exact compensation varies based on a variety of factors, including skills and competencies, experience, and geographical location. Pay Range (rate per hour)
$15—$150 USD