Machine Learning Researcher (Remote | $245–$280/hr)

**Applied Scientist (Remote | $245–$280/hr)** **Position:** Applied Scientist **Type:** Contractor **Compensation:** $245–$280 per hour **Location:** Remote **About the Opportunity** An AI-focused project is seeking Applied Scientists to contribute expertise in advanced analytics, experimentation, statistics, and machine learning. Contractors will help improve next-generation AI systems by evaluating model outputs, developing high-quality datasets, and providing expert feedback. Prior AI experience is not required. **Key Responsibilities** * Design and execute statistical analyses to uncover insights from complex datasets. * Develop, validate, and evaluate machine learning models for business and research objectives. * Apply data modeling techniques and manage data transformations using Python and Pandas. * Collaborate with stakeholders to establish experimentation frameworks and analyze outcomes. * Document methodologies, findings, and recommendations clearly and accurately. * Review peer contributions and provide constructive technical feedback. * Deliver reproducible code and organized analytical reports. * Evaluate AI model outputs involving statistics, machine learning, experimentation, and quantitative reasoning. * Create expert-level prompts, datasets, and reference solutions. * Identify flawed methodologies, statistical errors, and weaknesses in quantitative reasoning. * Provide structured feedback to improve AI model performance. **Required Qualifications** * Strong proficiency in Python and data analysis. * Knowledge of machine learning, statistics, experimentation, and data modeling. * Experience with Pandas and related data science tools. * Strong analytical, problem-solving, and quantitative reasoning skills. * Excellent written and verbal communication skills. **Preferred Qualifications** * At least one year of experience at a leading company in technology, finance, or research. * Proficiency with Python libraries such as Pandas and scikit-learn. * Demonstrated experience in applied statistics, experimental design, and machine learning. * Experience developing, tuning, and evaluating machine learning models. * Ability to work with structured and unstructured data. * Experience collaborating on cross-functional or open data science projects. * Advanced academic background or practical experience in data science, applied mathematics, or a related field. **Compensation** * Hourly compensation of $245–$280. * Remote, contractor-based engagement. **Application Process** The application process was not specified in the provided listing.