Computer Science Expert (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Computer Science Expert (AI): Evaluating and improving AI systems through complex problem design and validation with an accent on Python-based numerical analysis. Focus on ensuring scientific integrity, validating AI logic against professional standards, and applying structured scoring criteria to multi-step technical challenges.
Salary: Up to $80 per hour
Company
connects specialized experts with project-based opportunities to evaluate and improve AI models for leading global technology companies.
What you will do
- Design rigorous Computer Science problems that reflect real-world professional practices.
- Evaluate and score AI-generated solutions for correctness, logical assumptions, and constraints.
- Validate complex calculations and simulations using Python, NumPy, Pandas, or SciPy.
- Improve AI reasoning capabilities to align with industry-standard logic and quality metrics.
- Collaborate with an international community of experts to maintain high scientific integrity.
Requirements
- Degree in Computer Science or a highly related technical field.
- 2+ years of professional experience in applied research, software development, or teaching.
- Proficiency in Python for numerical validation and technical problem-solving.
- Strong written English (C1+) is mandatory.
- Ability to commit to 10–20 hours per week during project active phases.
Nice to have
- Professional certifications such as CMME, SAS, or CAP.
- Experience with MATLAB, R, C, or SQL.
- Prior experience in international or applied research projects.
Culture & Benefits
- Flexible, project-based work model allowing for independent contribution.
- Competitive hourly compensation based on expertise and complexity of tasks.
- Opportunity to contribute to cutting-edge AI evaluation for major tech companies.
- Fully remote collaboration with a global network of subject matter experts.
Hiring process
- Application submission with English resume and proficiency level indication.
- Completion of project-specific qualification tasks.
- Project onboarding and task assignment.
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