Train AI systems from anywhere in approved countries by solving quantitative problems, reviewing analytical code, and setting your own schedule. Remote contract work.
DataAnnotation seeks an experienced quantitative researcher for AI training tasks. You will work with state-of-the-art models on technical problems involving data, models, and scientific reasoning. The work can complement a full time role or serve as a primary focus, with projects selected through the platform after assessment.
Key Responsibilities: Solve quantitative problems used to train AI systems
Benchmark models across forecasting and optimization tasks
Evaluate real-world validity of generated scientific analysis
Explain analytical findings clearly in writing
Document code used for quantitative evaluations
Requirements: Two-plus years in research or quantitative work
Coding experience with end-to-end analytical code
Statistical inference and predictive modeling experience
Time-series forecasting or classification experience
Native or bilingual English fluency and strong writing
Use quantitative research, statistical inference, forecasting, and coding skills to train and benchmark AI models remotely.

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📌 Remote AI Training Quantitative Researcher (Quebec City)
🏢 DataAnnotation
📍 Quebec City