Statistics Expert (Python, Degree Required)

About OpenTrain

OpenTrain is a centralized job board for AI-training and data-labeling work. We aggregate opportunities from many AI companies and labeling platforms so contributors can find relevant projects in one place, create a free account, and apply in minutes.

About AI training and this work

AI training (also called data labeling, annotation, or human feedback) is the human work that teaches models to be accurate, safe, and useful. Tasks range from annotating images and transcribing audio to writing and evaluating model responses; this role focuses on creating high-quality text-based training material for generative and research workflows.

The role

You will design original, research-style computational statistics problems that require complex reasoning and cannot be solved manually in reasonable timeframes. For each problem you create you will verify correctness with code, produce fully reproducible solutions, and clearly document both problem statements and solutions.

• Engagement: Contractor, part-time.
• Time: 20+ hours per week.
• Pay: Paid hourly; range shown in the posting is $15–$60 USD per hour with top rates up to $60/hr.
• Data type and label tasks: Text generation, evaluation/rating, and fine-tuning preparation.
• Platform: Work will be submitted via a custom/other labeling platform or delivery workflow.

What you'll do

Create problems grounded in realistic research and applied workflows (estimation, inference, simulation, optimization), then implement verification code and produce reproducible solutions. Your work must be suitable for use in model training, evaluation, and fine-tuning.

• Design novel computational-statistics problem statements that require nontrivial computation and reasoning.
• Verify and validate solutions in Python using standard scientific libraries (NumPy, SciPy, Pandas, SymPy, etc.).
• Deliver fully reproducible solution code, example inputs/outputs, and step-by-step written explanations.
• Document assumptions, edge cases, numerical stability considerations, and expected runtimes.
• Accept and incorporate QA feedback; follow detailed annotation and documentation guidelines supplied by the project.

Requirements

Candidates must meet every substantive requirement listed below. We will ask for an English CV with contact details and a statement of your English proficiency when you apply.

• Education: Bachelor’s degree or higher in Statistics or a closely related field.
• Experience: Minimum 2 years of professional statistics experience.
• Technical: Advanced Python skills for verification and analysis with scientific libraries (NumPy, SciPy, Pandas, SymPy, or similar).
• Annotation: Hands-on text annotation or review experience is required.
• Subject matter: Familiarity with research-style computational statistics problems (estimation, inference, simulation, optimization).
• Process: Ability to follow detailed annotation guidelines and respond constructively to QA feedback.
• Application materials: Provide an English CV that includes your level of English proficiency, an email address, and a phone number.

Who should apply

Apply if you are an intermediate-level statistics professional who enjoys designing reproducible, research-level problems and validating solutions with code. Ideal applicants are comfortable writing clear problem statements, producing robust Python notebooks or scripts, and iterating on work after QA.

• This role suits statisticians, quantitative researchers, data scientists, and others with strong computational statistics experience and advanced Python skills.
• Project-style, contractor-minded people who prefer flexible, part-time hours and remote work will fit well.

How it works and location restrictions

OpenTrain aggregates and lists this contract opportunity; applying requires uploading your English CV with contact details. If selected, you will receive tasks, submit problem statements and reproducible solutions, and receive QA and feedback cycles. Work is remote and flexible but subject to restricted-location constraints listed below.

• Restricted locations: Iran, Cuba, North Korea, Syria, Sudan, Venezuela, Myanmar, Russia, Belarus, Palestine, Switzerland, China, Taiwan, Kenya, and the following US states: Alaska, Arkansas, California, Connecticut, Delaware, Georgia, Hawaii, Illinois, Indiana, Kansas, Louisiana, Maine, Maryland, Ma
• Also restricted: Antarctica, Aruba, Åland Islands, Saint Barthélemy, Bonaire, Sint Eustatius and Saba, Bouvet Island, Cocos (Keeling) Islands, Democratic Republic of the Congo, Cook Islands, Christmas Island, Western Sahara, Falkland Islands (Malvinas), French Guiana, Guadeloupe, South Georgia and t
• Employment type: Contractor, part-time. Tasks will be assigned and compensated hourly as stated above.