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1 день назад

Computer Science Expert (AI)

12 800$
Формат работы
remote (только USA)
Тип работы
project
Грейд
middle
Английский
c1
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR

Computer Science Expert (AI): Designing and evaluating complex computer science problems and AI-generated solutions with an accent on numerical validation and reasoning alignment. Focus on improving AI logic through Python-based validation and structured scoring.

Location: Remote (Must be based in Texas, USA)

Compensation: Up to $80 per hour

Company

hirify.global connects specialists with project-based AI opportunities for leading tech companies, focusing on testing, evaluating, and improving AI systems.

What you will do

  • Design rigorous Computer Science problems reflecting professional practice.
  • Evaluate AI solutions for correctness, assumptions, and constraints.
  • Validate calculations or simulations using Python (NumPy, Pandas, SciPy).
  • Improve AI reasoning to align with industry-standard logic.
  • Apply structured scoring criteria to multi-step problems.
  • Collaborate with a global community of PhDs to ensure scientific integrity.

Requirements

  • Degree in Computer Science or related fields.
  • Proficiency in Python for numerical validation (or equivalent knowledge of MATLAB, R, C, SQL).
  • 2+ years of professional experience in applied, research, or teaching roles.
  • Strong written English (C1+).
  • Must be based in the United States (Texas).

Nice to have

  • Professional certifications (e.g., CMME, SAS Certifications, CAP).
  • Experience in international or applied projects.

Culture & Benefits

  • Flexible project-based, non-permanent engagement.
  • Estimated workload of 10–20 hours per week during active phases.
  • Opportunity to contribute to the development of leading AI systems.
  • Engagement with a high-level global expert community.

Hiring process

  • Application and CV submission.
  • Qualification assessment.
  • Project onboarding and task execution.

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