Computer Science Expert Python Validation

About OpenTrain

OpenTrain AI is hiring expert contributors for flexible, remote work in AI training and data labeling. OpenTrain helps people build careers teaching AI by connecting them with projects where human expertise shapes how advanced models perform.

• Contractor and part-time opportunity
• Remote project work available globally, subject to project restrictions
• Apply through OpenTrain with a free account

About AI Training Work

AI systems learn from carefully designed examples, expert-written answers, and structured evaluations. In this field, computer science specialists help models reason more accurately by creating challenging problems, reviewing generated solutions, and identifying flaws in logic, assumptions, constraints, and edge cases.

• Work directly with text-based AI training data
• Contribute to evaluation, question answering, coding, text generation, and red teaming
• Help improve the quality and reliability of modern AI systems

The Role

As a Computer Science Expert focused on Python validation, you will design rigorous computer science problems aligned with real professional practice and evaluate AI-generated solutions for correctness and logical soundness. The work includes computer science reasoning and AI evaluation using unlabeled text data.

You will use Python to validate calculations and simulations, with tools such as NumPy, Pandas, and SciPy or equivalent libraries. You may also collaborate with a global community of advanced experts to support scientific integrity and consistent evaluation standards.

• Expert-level computer science role
• Text data with no pre-labeling
• Project-based work rather than a permanent assignment
• Pay range: $15-$40 per hour

What You'll Do

• Design rigorous computer science problems and reasoning tasks
• Evaluate AI-generated solutions for correctness and logical soundness
• Check calculations, simulations, assumptions, constraints, and edge cases using Python
• Apply structured scoring criteria to complex, multi-step reasoning problems
• Write questions, prompts, responses, and explanations for supervised fine-tuning and related evaluation tasks
• Improve AI reasoning so it better reflects industry-standard logic
• Perform computer programming and coding evaluation
• Participate in red teaming and quality review of model outputs
• Maintain consistent evaluation standards when working with other advanced contributors

Requirements

This role is intended for computer science experts who can combine strong technical judgment with clear written communication. A computer science degree or equivalent demonstrated expertise is expected, along with at least two years of professional, research, or teaching experience in computer science or an adjacent technical discipline.

• Degree in Computer Science or a closely related field, or equivalent demonstrated expertise
• At least 2 years of professional, research, or teaching experience in computer science or a related field
• Strong Python proficiency for numerical validation and simulation
• Experience with structured evaluation or scoring of multi-step reasoning
• Ability to assess correctness, assumptions, constraints, solution quality, and edge cases
• Written English at C1+ level or equivalent, with clear technical feedback
• Fluent English proficiency
• Availability to contribute approximately 10-20 hours per week during active project phases; screening information also indicates 20+ hours per week may be expected

Preferred Experience and Eligibility

Additional technical breadth can be valuable when evaluating diverse computer science problems. Professional certifications and international or applied project experience are welcome but are not stated as required.

• Familiarity with MATLAB, R, C, C++, SQL, or domain-specific libraries
• Professional certifications such as SAS, CAP, or similar
• International or applied project experience
• Required location is listed as global, any location; screening information also identifies the USA as a restricted location, so eligibility may depend on the active project

How This Work Builds AI

Human experts are essential to AI training because models need reliable examples and thoughtful feedback to improve. By testing solutions with Python, designing demanding computer science problems, and applying consistent scoring, you will help shape models that reason more clearly and handle technical work more reliably.

• Choose flexible project work around your schedule
• Work remotely with a computer and internet connection
• Build experience in a fast-growing AI training industry
• Apply through OpenTrain to explore this contractor opportunity