Scientific Computing Benchmark Template Specialist

About OpenTrain

OpenTrain is the #1 platform for finding and building careers in AI training and data labeling. We help specialists discover projects, create a unified AI training profile, and apply in minutes. Creating an OpenTrain account is free.

• Build a track record of AI training and evaluation work.
• Turn specialized scientific computing knowledge into practical experience shaping AI systems.
• Apply for remote contractor opportunities through OpenTrain.

About AI Training Work

AI training is the human side of building artificial intelligence. People with technical expertise review model outputs, prepare structured examples, and provide clear feedback that helps AI systems become more accurate and reliable. Scientific computing benchmarks are one way expert judgment can guide models working with algorithms, datasets, proofs, worksheets, and matrix outputs.

• Evaluate AI-generated technical work against detailed project rubrics.
• Support models that learn from structured human expertise and evidence-based review.
• Work remotely on flexible projects that connect specialist knowledge with cutting-edge AI development.

The Role

OpenTrain is recruiting a Scientific Computing Benchmark Template Specialist for AI training focused on Scientific Computing AI Benchmarking. You will work with scientific computing scripts, worksheets, datasets, proofs, and matrix outputs while reviewing model performance and preparing internally consistent technical materials.

Prior AI training experience is not required unless stated elsewhere in the listing. The key qualification is strong real-world knowledge of scientific computing, applied mathematics, or statistical modeling, along with the ability to communicate technical judgments clearly.

• Role type: Remote contractor and part-time opportunity.
• Experience level: Listed as entry level, with specialized scientific computing requirements.
• Language: Fluent English required.
• Work location: Worldwide remote.

What You'll Do

You will review source materials and model outputs, apply project guidelines, and explain your decisions in writing. Consistency matters: your evidence-based judgments and technical feedback will help improve model behavior across repeated review tasks.

• Evaluate model outputs using project rubrics.
• Review scientific computing source materials and generated outputs against project guidelines.
• Document evidence-based judgments and explain numerical or mathematical issues clearly.
• Explain numerical convergence and mathematical correctness.
• Maintain consistent quality across repeated evaluation tasks.
• Produce clear, internally consistent technical materials.

Requirements

This role requires professional, academic, or language expertise in Scientific Computing AI Benchmarking, together with hands-on experience authoring computational algorithms. Candidates should be comfortable applying detailed instructions independently in a remote contractor setting.

• Professional experience authoring computational algorithms in scientific computing, applied mathematics, or statistical modeling.
• Hands-on GNU Octave or GeoGebra experience.
• Knowledge of numerical linear algebra, ODE solvers, regression modeling, and statistical hypothesis testing.
• Ability to explain numerical convergence and mathematical correctness.
• Strong written English and clear technical communication.
• Careful attention to detail and consistent application of project rubrics.
• Ability to work independently on remote contractor tasks.

Schedule and Compensation

The role describes a 40-hour-per-week schedule with at least four hours of Pacific Time overlap. The structured listing also identifies the time requirement as 20+ hours per week. Compensation is handled through the OpenTrain project budget fields shown on the job page; no specific rate is provided here.

• Schedule: 40 hours per week described, with at least 4 hours of Pacific Time overlap.
• Time requirement: 20+ hours per week in the structured listing.
• Payment currency: USD.
• Compensation details: See the OpenTrain project budget fields on this job page.

How to Apply

Create a free OpenTrain account and apply in minutes. Your profile and work history can help you build a durable career in AI training, where scientific computing expertise supports the development and evaluation of advanced AI systems.

• Highlight your scientific computing, applied mathematics, or statistical modeling background.
• Include your GNU Octave or GeoGebra experience and relevant algorithm-authoring work.
• Show that you can explain technical judgments clearly and follow detailed evaluation instructions.