Job Opportunity: AI Tutor, Data Science at Labelbox

Join Labelbox, the leading data-centric AI platform for building intelligent applications. Our platform is designed for teams aiming to leverage the latest in generative AI and LLMs, providing the perfect blend of human supervision and automation. Whether creating AI products that require human fine-tuning or implementing AI to streamline labor-intensive tasks such as data labeling and business analytics, Labelbox empowers teams to accomplish their goals efficiently and swiftly.

About Labelbox

Current Labelbox customers are revolutionizing various industries, including insurance, retail, manufacturing/robotics, and healthcare. Our platform is trusted by Fortune 500 enterprises such as Walmart, Procter & Gamble, Genentech, and Adobe, along with hundreds of leading AI teams. We are backed by prominent investors including SoftBank, Andreessen Horowitz, B Capital, Gradient Ventures (Google's AI-focused fund), Databricks Ventures, Snowpoint Ventures, and Kleiner Perkins.

Role Overview

Become a crucial contributor to advancing AI capabilities in the essential field of data science! As an AI Tutor at Labelbox, you will utilize your expertise to educate, evaluate, and rigorously test state-of-the-art AI models, ensuring they grasp fundamental data science principles deeply and accurately. Your efforts will directly influence the development of AI capable of analyzing complex datasets, identifying trends, and generating precise predictions across diverse applications.

Key Focus Areas

• Statistical Modeling & Inference: Teach models to apply various statistical methods for data analysis, hypothesis testing, and deriving significant conclusions.
• Machine Learning Algorithms: Guide models to master the theory and application of supervised, unsupervised, and reinforcement learning algorithms for tasks such as classification, regression, and clustering.
• Data Visualization & Interpretation: Train models to communicate complex data insights through clear and informative visualizations.
• Data Ethics and Responsible AI: Instill an understanding of the ethical implications of data science, including bias detection, fairness, and responsible data handling.

Daily Responsibilities

Teaching AI: Utilize RLHF techniques to train AI models on complex data science concepts and problem-solving approaches.

Evaluation & Feedback: Conduct thorough evaluations of AI model performance, offering detailed feedback and corrective measures to improve accuracy and understanding.

Red Teaming: Design and execute rigorous tests to identify vulnerabilities, biases, and limitations within the AI models' data science knowledge.

About You

• Master's degree or PhD in Data Science, Statistics, Computer Science, or a related field; OR a Bachelor's degree with 3+ years of relevant industry experience
• Strong grasp of core data science principles, including statistical modeling, machine learning algorithms, and data visualization techniques
• Excellent communication skills, with the ability to articulate complex technical concepts clearly and concisely
• A passion for pushing the boundaries of AI and its applications within data science

Compensation

The pay range for this position is $15—$60 USD per hour.

Remote-Friendly Hybrid Model

At Labelbox, we value excellence and understand the importance of bringing our talented team together. While we continue to embrace remote work, we have adopted a hybrid model that fosters collaboration and connection within our tech hubs located in the San Francisco Bay Area, New York City Metro Area, and Wrocław, Poland. We encourage asynchronous communication, autonomy, and ownership of tasks, complemented by hub-based gatherings.

Your Personal Data Privacy

Any personal information you provide as part of your application will be processed in accordance with Labelbox’s Job Applicant Privacy notice. All communication from Labelbox team members will originate from an @labelbox.com email address. If you encounter anything suspicious during your interactions, please exercise caution and cease communication. For any uncertainties regarding the legitimacy of communications, contact us at for verification.

Apply now to join Labelbox as an AI Tutor in Data Science and help us revolutionize the future of intelligent applications!