Why This Role Stands Out
This remote contract Technical Recruiter role offers a competitive hourly rate and the chance to shape the future of digital and AI talent acquisition for a reputable company. You'll thrive here if you have extensive full-cycle recruiting experience in tech and enjoy navigating a dynamic talent landscape. Apply now to leverage your expertise and make a significant impact!
Quick Overview
Job Description
Contract Technical Recruiter (Digital / AI)
Location: Remote or ideally located near NYC, Windsor, CT, Atlanta, GA Minneapolis, MN, Des Moines, IA, Scottsdale/Tempe, AZ (will remain remote)
Will consider remote for strong candidates
Position Overview
W2 Rate - $52/hr NO 1099 NO THIRD PARTY NO CTC
Seeking a highly experienced Technology Recruiter (Contract) to lead full-cycle recruiting for critical AI, Data, Digital, and Technology roles.
Required Experience
- 5+ years of full-cycle recruiting experience, with significant focus on AI, Data, Digital, and Technology hiring.
- Deep expertise in the AI and digital talent landscape and demonstrated success recruiting technical talent across multiple levels, including senior and leadership roles.
- Strong network within AI, engineering, data, and digital communities.
- Experience recruiting for large financial institutions, fintech organizations, or leading technology companies.
- Ability to influence hiring leaders and drive recruiting strategies in competitive talent markets.
- Experience using modern sourcing tools, market intelligence platforms, ATS systems, and AI-enabled recruiting technologies.
- Experience recruiting and closing digital and AI talent from top-tier technology companies, leading AI research labs, and major global financial institutions with sophisticated tech organizations and brings a strong network of AI, machine learning, data, engineering, and digital talent.
Day to Day
- Lead full-cycle recruiting from intake through offer acceptance.
- Recruit for high-demand talent areas including:
- Artificial Intelligence (AI) & Generative AI
- Machine Learning
- Data Science & Data Engineering
- Digital Product Management
- Software Engineering
- Cloud & Platform Engineering
- Cybersecurity
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