Data Scientist | $14/hr Remote

At Crossing Hurdles, we work as a referral partner. We refer candidates to Mercor that collaborates with the world’s leading AI research labs to build and train cutting-edge AI models.

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Role Responsibilities:

• Develop data collection and preprocessing pipelines for structured and unstructured data from multiple agent simulations.
• Build and iterate on machine learning models for performance prediction, behavior clustering, and outcome optimization.
• Design and maintain dashboards and visualization tools for monitoring agent performance, benchmarks, and trends.
• Conduct statistical analyses to evaluate the efficacy of AI systems under various environments and constraints.
• Collaborate with engineers to design evaluation frameworks that measure reasoning quality, adaptability, and efficiency.
• Prototype data-driven tools and feedback loops to automatically improve model accuracy and agent behavior over time.
• Work closely with AI research teams to translate experimental results into scalable, production-grade insights.

Ideal Qualifications:

• Strong background in data science, machine learning, or applied statistics.
• Proficiency in Python, SQL, and familiarity with libraries such as Pandas, NumPy, Scikit-learn, and PyTorch/TensorFlow.
• Understanding of probabilistic modeling, statistical inference, and experimentation frameworks (A/B testing, causal inference).
• Experience designing and evaluating predictive models, using metrics like precision, recall, F1-score, and ROC-AUC.
• Comfortable working with large-scale data systems (Snowflake, BigQuery, or similar).
• Curiosity about AI agents, and how data can shape the reasoning, adaptability, and behavior of intelligent systems.
• Enjoy collaborating with cross-functional teams — from engineers to research scientists — to define meaningful KPIs and experiment setups.

Application Process (Takes 20 min):

• Upload resume
• AI interview based on your resume (15 min)
• Submit form