Statistics Expert — Python Research Problem Design

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We connect people to hands-on work that directly shapes how modern AI systems learn and behave.

Contributors on OpenTrain work remotely, often part-time and with flexible schedules, building skills that translate into long-term careers in the rapidly growing AI training industry.

About AI training work

AI training (also called data labeling or human feedback work) is the human side of building artificial intelligence. People prepare, evaluate, and document examples that models learn from — everything from writing and rating responses to creating datasets and verifying technical solutions.

This role focuses on research-style computational statistics problems: you will create original content and verify solutions that ensure models learn from high-quality, realistic, reproducible tasks.

The role

We are hiring a Statistics Expert to design and validate original, research-style computational statistics problems that require complex reasoning and cannot be solved manually in reasonable timeframes.

You will use Python and standard scientific libraries to verify solutions, then document both problem statements and fully reproducible correct solutions that reflect real-world research and applied workflows such as estimation, inference, simulation, and optimization.

What you'll do

• Design original computational-statistics problem statements that mirror research and applied workflows (estimation, inference, simulation, optimization).
• Implement and verify solutions in Python using libraries such as NumPy, SciPy, Pandas, and SymPy.
• Produce fully reproducible code and clear written solutions that reviewers and model-training pipelines can run end-to-end.
• Follow detailed annotation guidelines and incorporate QA feedback to improve problem quality and reproducibility.
• Participate in review cycles and update problems or solutions based on reviewer notes.

Requirements

You must meet all mandatory requirements below; we will verify eligibility during onboarding.

• Bachelor’s degree or higher in Statistics or a related field.
• Minimum 2 years of professional statistics experience.
• Advanced Python skills for verification and analysis; experience with NumPy, SciPy, Pandas, SymPy or similar libraries.
• Hands-on text annotation or review experience.
• Familiarity with research-style computational statistics problems and applied workflows (estimation, inference, simulation, optimization).
• Ability to follow detailed annotation guidelines and respond to QA feedback.
• Provide an English CV that includes contact details (email and phone) and indicates your level of English proficiency.

Time commitment, pay, and contract

This is a contractor, part-time role with a time expectation of 20+ hours per week.

Compensation is hourly. Posted hourly rate: $60/hr (hourly range listed: $15–$60/hr). You will be paid hourly under contract terms specified if selected.

Task types and tools

Work is text-focused: tasks include text generation, evaluation/rating, and producing materials for fine-tuning (label types: TEXT_GENERATION, EVALUATION_RATING, FINE_TUNING).

Labeling and verification can use other or custom tooling specified by the project (); you must be comfortable producing reproducible Python code and clear written documentation.

Geographic restrictions and eligibility

This role is open worldwide except for the restricted locations listed below. Applicants located in any of the restricted countries or territories cannot be contracted for this project.

• Restricted: Iran, Cuba, North Korea, Syria, Sudan, Venezuela, Myanmar, Russia, Belarus, Palestine, Switzerland, China, Taiwan, Kenya.
• Restricted US states: Alaska, Arkansas, California, Connecticut, Delaware, Georgia, Hawaii, Illinois, Indiana, Kansas, Louisiana, Maine, Maryland, Massachusetts, Nebraska, Nevada, New Hampshire, New Jersey, New Mexico, Ohio, Oregon, Tennessee, Utah, Vermont, Washington, West Virginia.
• Restricted territories: 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 Georgi

How to apply

Apply by submitting your English CV on the OpenTrain platform. Your CV must include an email address, phone number, and a brief statement of your English proficiency level.

In your application, state your weekly availability (confirm 20+ hours/week) and any relevant examples of past computational-statistics work or annotation/review experience. We will contact qualified candidates for a technical review and sample task.