Evaluates and rates AI model outputs for code generation tools like Codex and Claude, providing feedback to improve model performance.

Annotates and labels data in Italian to train and improve AI models and machine learning systems.

Labels and annotates data to train machine learning models, providing quality feedback on datasets for AI development.

Labels and annotates data in Spanish to train and improve AI/ML models.

Labels and annotates data in Italian to train and improve AI models and machine learning systems.

Labels and annotates data to train AI models, providing feedback and quality control on datasets for machine learning applications.

Annotate and label data in Spanish to train and improve AI models, providing quality feedback on datasets.

Labels, annotates, and evaluates data to improve machine learning models through remote task-based work and testing activities.

Labels data, annotates content, and evaluates ML model outputs to improve AI systems through feedback and quality assessment.

Labels, annotates, and evaluates data to improve machine learning models while providing feedback on AI system performance.

Evaluates and improves AI models by testing outputs and providing feedback on mathematics-related tasks for leading tech companies.

Physics expert trains AI models and provides feedback on physics-related outputs using Python expertise.

Reviews and evaluates AI-generated outputs, annotates/labels data, and collaborates with research teams to refine evaluation frameworks for insurance AI applications.

Evaluates AI model performance in geography and earth sciences, creates problem sets, and collaborates with AI research teams to improve model outputs.

Evaluate and improve AI systems through testing and feedback as part of project-based AI training work for tech companies.

Evaluates and improves AI systems through testing and feedback on procurement and supply chain scenarios for tech companies.

Rates and evaluates AI-generated search results and prompts in Arabic to improve model performance and output quality.

Design computational physics problems and Python programming exercises for AI model training and evaluation.

Design computational physics problems and Python programming exercises to train AI models on physics-related tasks.

Label and annotate data to train and improve AI models, providing feedback on model outputs.