Computer Science Expert Python Validation

About OpenTrain

OpenTrain AI is the hiring and contracting organization for this role and the #1 platform for finding and building careers in AI training and data labeling. OpenTrain connects qualified contributors with opportunities to help shape how modern AI systems learn, reason, and respond.

  • Create a free OpenTrain account and apply in minutes.
  • Work remotely with a global community of AI-training contributors.

About AI Training Work

AI training is the human side of building artificial intelligence. Experts design examples, review model outputs, write improved responses, and evaluate reasoning so AI systems become more accurate, useful, and reliable.

This role focuses on advanced text-based evaluation and programming work. Your computer science judgment will help assess whether AI-generated solutions are logically sound and aligned with professional standards.

  • Contribute to cutting-edge AI evaluation and model improvement.
  • Use specialized expertise rather than performing general-purpose data entry.
  • Choose flexible work around your availability during active project phases.

The Role

OpenTrain is seeking a Computer Science Expert for Python validation and AI evaluation. You will design rigorous computer science problems, review AI-generated solutions, and assess multi-step reasoning for correctness, assumptions, constraints, edge cases, and overall quality.

The work includes evaluation and rating, question answering, text generation, prompt and response writing for supervised fine-tuning, computer programming and coding, and red teaming. The dataset is text-based, with no pre-labeled data, and uses an unspecified labeling tool.

  • Role type: Project-based contractor and part-time contributor.
  • Experience level: Expert.
  • Pay range: $15 to $40 per hour, with the listed hourly rate of $40.
  • Required English: Fluent, with written English at C1+ or equivalent.
  • Required location: Global, any location, with a screening note listing the USA as a restricted location. Confirm eligibility before applying.

What You'll Do

You will combine technical problem-solving with careful written evaluation. Python may be used to validate calculations, simulations, and solution behavior, including work with tools such as NumPy, Pandas, SciPy, or equivalent libraries.

You may collaborate with a global community of advanced experts to support scientific integrity and consistent evaluation standards.

  • Design computer science problems aligned with real professional practice.
  • Evaluate AI-generated solutions for correctness and logical soundness.
  • Validate calculations or simulations using Python.
  • Assess assumptions, constraints, edge cases, and solution quality.
  • Apply structured scoring criteria to complex, multi-step reasoning tasks.
  • Improve AI reasoning and explanations to reflect industry-standard logic.
  • Participate in red teaming and other quality-focused evaluation activities.

Requirements

This opportunity is intended for experienced computer science contributors who can make precise technical judgments and communicate feedback clearly. A computer science degree or equivalent demonstrated expertise is expected, along with at least two years of applied, 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, and edge cases.
  • Clear technical writing and feedback in English at C1+ or equivalent.
  • Familiarity with MATLAB, R, C/C++, SQL, or domain-specific libraries is preferred.
  • Professional certifications such as SAS, CAP, or similar are a plus.
  • International or applied project experience is a plus.

Schedule And Application

The work is project-based rather than permanent. The role description requests approximately 10 to 20 hours per week during active project phases, while the structured listing indicates a 20-plus-hour weekly time requirement. Review the current project expectations before committing.

Apply through OpenTrain to share your background and demonstrate your fit for expert computer science evaluation work. OpenTrain accounts are free, and qualified contributors can build an ongoing profile for AI-training opportunities.

  • Employment types: Contractor and part time.
  • Availability is needed during active project phases.
  • Apply online through OpenTrain.
  • Confirm location eligibility because the listing includes both global availability and a USA restriction note.
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