Computational Statistics Expert

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this remote AI training role. OpenTrain is the leading platform for finding and building careers in AI training and data labeling, helping contributors discover specialized projects, build a credible profile, and grow their experience in a fast-moving industry.

Creating an OpenTrain account is free, and your profile can help you present relevant expertise as you pursue future AI training opportunities.

• Remote contract work with a global, worldwide-eligible opportunity
• Part-time structure with a default commitment of 40 hours per week
• Compensation of $70-$90 per hour

About AI Training Work

AI training is the human work behind modern artificial intelligence. Specialists create examples, evaluate model behavior, and design rigorous tests that help advanced systems reason more accurately and reliably.

In this role, your statistical and mathematical expertise will shape benchmark tasks that assess whether AI systems can handle authentic scientific and engineering workflows, including difficult edge cases and reproducibility concerns.

• Work on cutting-edge AI evaluation and benchmark development
• Apply specialized quantitative expertise to challenging model assessments
• Contribute remotely with flexible availability around your schedule

The Role

OpenTrain is seeking a Computational Statistics and Applied Mathematics Expert to design and evaluate challenging problems for a large-scale benchmark of advanced AI systems. You will translate authentic scientific and engineering workflows into graduate-level computational challenges involving specialized software, reproducible numerical reasoning, simulation, experimental planning, and interpretation of results.

The strongest problems will test strategic reasoning and awareness of edge cases rather than routine calculations. You will work independently while refining task difficulty, clarity, and reproducibility through testing against advanced AI models.

• Remote contractor position
• Part-time engagement requiring at least 15-20 hours per week
• Default schedule of 40 hours per week
• $70-$90 per hour in USD

What You'll Do

You will create original computational problems grounded in statistical, mathematical, or scientific workflows. Each task should provide a meaningful test of advanced reasoning and be sufficiently clear and reproducible for rigorous evaluation.

You will build the supporting Python infrastructure and review model performance, refining tasks when results reveal ambiguity, insufficient difficulty, or important computational edge cases.

• Write problem setups, oracle functions, and solution validators in Python
• Develop simulations, multi-step numerical computations, model-fitting tasks, and experimental-design problems
• Design problems where carefully chosen queries or measurements reveal information hidden in data
• Test tasks against advanced AI models
• Improve problem difficulty, clarity, and reproducibility
• Work across areas such as Bayesian statistics, psychometrics, latent-variable modeling, differential equations, time series, survival analysis, spatial statistics, optimization, numerical linear algebra, and computational geometry

Required Qualifications

You should bring graduate-level expertise in statistics, applied mathematics, a relevant quantitative STEM field, or equivalent research experience. An MS or PhD is required; a PhD is preferred, while an MS should be paired with substantial relevant experience.

You must be able to combine deep quantitative judgment with practical programming and computational skills. Independent work and comfort using remote technical environments are important for completing and validating benchmark problems.

• Graduate-level training in statistics, applied mathematics, or a related quantitative STEM field
• An MS or PhD, with a PhD preferred or an MS plus substantial relevant experience
• Strong Python skills for problem setups, oracle functions, and solution validators
• Hands-on proficiency with at least one specialized statistical, mathematical, or scientific software package
• Judgment about computational edge cases, reproducibility, and genuine problem difficulty
• Comfort working independently in Linux or terminal-based remote compute environments

Helpful Background

Experience in several computational domains or with multiple specialized software packages can be valuable. Deep expertise with one suitable package is more important than familiarity with an entire toolset.

Related experience may come from benchmark or evaluation design, scientific teaching, exam or problem-set development, computational reproducibility, or containerized environments.

• Specialized R or Python packages
• Matlab or Scilab
• statsmodels or PyMC
• Benchmark or AI evaluation design
• Scientific teaching or assessment development
• Computational reproducibility or containerized environments

Who Should Apply

This opportunity is suited to a quantitative researcher, computational statistician, applied mathematician, or related STEM expert who enjoys turning complex real-world reasoning into precise, testable computational problems.

It may be a strong fit if you want to apply advanced technical knowledge to AI development while working remotely and maintaining a flexible contractor schedule.

• Quantitative experts who can reason beyond routine calculations
• Researchers who care about edge cases and reproducible results
• Python-capable specialists comfortable translating theory into executable evaluations
• Independent contributors available for at least 20 hours per week

How to Work With OpenTrain

Apply through OpenTrain to be considered for this contract opportunity. If selected, you will contribute to specialized AI training and evaluation work while building experience that can support a longer-term portfolio in the field.

AI training is a rapidly growing area of technology work, and contributors with advanced domain expertise help shape how state-of-the-art systems perform on demanding scientific and technical problems.

• Create or update your free OpenTrain profile
• Submit your application through OpenTrain
• Showcase your quantitative, software, and research experience
• Complete approved benchmark development and evaluation work remotely