AI Engineer (Remote | $80–$140/hr)

Machine Learning Engineer Position: Machine Learning Engineer Type: Contractor Compensation: $80–$140/hour Location: Remote About the Opportunity We are seeking experienced Machine Learning Engineers to contribute to a project focused on developing, evaluating, and improving next-generation AI systems. In this role, you will leverage your expertise in machine learning, data analysis, and model development to help create high-quality training data and improve the performance of advanced AI models. This opportunity is ideal for professionals with hands-on experience building machine learning solutions, working with large datasets, and deploying scalable ML workflows. You will work on real-world machine learning challenges involving model training, evaluation, experimentation, and data-driven problem-solving. The work is fully remote, flexible, and centered on practical machine learning applications. No prior AI training or evaluation experience is required. Key Responsibilities • Design, develop, and refine machine learning models using Python and relevant ML frameworks. • Analyze large datasets and utilize MongoDB for efficient data storage, retrieval, and management. • Build and optimize data pipelines, preprocessing workflows, and feature engineering processes. • Evaluate model performance using appropriate metrics, benchmarking techniques, and validation methodologies. • Conduct hyperparameter tuning and experimentation to improve model accuracy and efficiency. • Collaborate with project contributors to identify opportunities for model enhancement and implementation. • Document methodologies, experiments, results, and technical decisions to ensure reproducibility. • Deliver actionable insights and recommendations based on machine learning outcomes and data analysis. • Support workflow improvements across training, evaluation, and inference processes. Required Qualifications • Strong proficiency in Python. • Experience building and training machine learning models. • Strong understanding of machine learning concepts, model evaluation, and statistical analysis. • Experience working with large datasets and data preprocessing workflows. • Knowledge of feature engineering, model validation, and performance optimization techniques. • Strong analytical and problem-solving skills. • Excellent written communication and technical documentation abilities. • Ability to work independently in a remote environment. Preferred Qualifications • Deep familiarity with machine learning frameworks such as Scikit-learn, TensorFlow, or PyTorch. • Hands-on experience with MongoDB for data manipulation, storage, and retrieval. • Experience deploying or operationalizing machine learning models in production environments. • Familiarity with cloud platforms, MLOps workflows, and scalable ML infrastructure. • Experience building automated data pipelines and machine learning workflows. • Strong understanding of experimentation, benchmarking, and model performance analysis. • Ability to adapt quickly to evolving project requirements and collaborate effectively in remote teams. Compensation • $80–$140/hour • Remote contract engagement • Flexible schedule • Project-based work Additional Details • Fully remote opportunity. • 35 openings available. • Flexible workload with no fixed schedule. • Applications reviewed on a rolling basis. • No prior AI experience required. • Work involves real-world machine learning development, evaluation, experimentation, and optimization tasks.