Computational Statistics Expert (Python, Degree Required)

You will create original, research-style computational statistics problems that require complex reasoning and cannot be solved manually in a reasonable amount of time. Your work will support AI training through problem creation, solution evaluation, and fine-tuning content.

You will use Python and standard scientific libraries to check your work, then clearly document each problem and its fully reproducible correct solution.

• Design problems based on estimation, inference, simulation, and optimization.
• Use NumPy, SciPy, Pandas, SymPy, and similar scientific Python libraries.
• Validate solutions computationally and confirm that the results are correct.
• Write clear problem statements and reproducible solution documentation.
• Reflect real-world research and applied statistics workflows.

This is an intermediate, part-time contractor role open worldwide. The work requires strong computational statistics ability and the capacity to explain technical solutions clearly.

• Pay: $15 to $60 per hour.
• Time: 20 or more hours per week.
• Work arrangement: Part-time contract.
• Location: Open worldwide.
• Education: A degree is required.
• Experience level: Intermediate.
• Technical skills: Python and standard scientific libraries, including NumPy, SciPy, Pandas, and SymPy.

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AI training is human work that helps improve artificial intelligence, including writing problems, checking answers, and rating model outputs. People with statistics and programming expertise are paid to create reliable examples and evaluations that help AI systems handle complex tasks.