Recruter un talent
Recrutez un AI Researcher
Research-focused professionals who explore cutting-edge AI techniques and develop novel algorithms for specific domains. They stay at the frontier of AI innovation and translate research into practical applications.
D\u00e8s $14-20/hrMise en relation sous 48hProfessionnels v\u00e9rifi\u00e9s
Comp\u00e9tences cl\u00e9s
Chaque AI Researcher sur la plateforme AI10 est v\u00e9rifi\u00e9 pour ces comp\u00e9tences essentielles.
Deep Learning & Neural Networks
Research Paper Analysis & Implementation
Experimentation & Hypothesis Testing
Technical Writing & Documentation
Tarification
Tarification transparente et abordable pour les meilleurs talents IA.
\u00c0 partir de
$14-20/hr
- Professionnels v\u00e9rifi\u00e9s et test\u00e9s
- Horaire flexible ou par projet
- Mise en relation sous 48 heures
- Gestion de projet d\u00e9di\u00e9e
- Garantie de remplacement
FAQ
Questions fréquemment posées
When should I hire an AI Researcher vs. an AI Engineer?
Hire a Researcher when your problem doesn't have a well-known solution — novel architectures needed, state-of-the-art performance required, or existing approaches aren't working. Hire an Engineer when you know what to build and need someone to build it well.
What research areas do your AI Researchers cover?
Deep learning architectures, transformer models, few-shot learning, reinforcement learning, multimodal AI, graph neural networks, and generative models. Our researchers stay current with top conferences (NeurIPS, ICML, CVPR) and bring latest techniques to applied problems.
Can AI Researchers work on commercial projects?
Absolutely. Our researchers apply academic rigor to business problems — systematic experimentation, reproducible results, and thorough ablation studies. They translate research breakthroughs into production-ready solutions, not just papers.
What deliverables does an AI Researcher produce?
Experiment reports with quantitative results, model architectures with training code, benchmark comparisons, technical documentation, and recommendations for production implementation. All code is clean, documented, and ready for engineering handoff.