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Talent Acquisition Specialist - Remote

Posted 5 days ago
Human Resources
Full Time
USA
$75,000 - $85,000/year

Overview

Innodata is seeking a results-driven Talent Acquisition Specialist to help identify, attract, and hire top talent across various roles. This position is crucial for building pipelines and managing full-cycle recruiting while leveraging data to inform hiring strategies.

In Short

  • Manage the full recruitment lifecycle across departments.
  • Partner with hiring managers to understand staffing needs.
  • Source candidates using various methods including LinkedIn and job boards.
  • Maintain a strong pipeline of qualified candidates.
  • Coordinate interviews and manage candidate communications.
  • Track and report recruitment metrics using advanced Excel functions.
  • Create Excel dashboards for data-driven hiring decisions.
  • Maintain accurate data in the ATS and Excel trackers.
  • Stay updated on talent market trends.

Requirements

  • 1-3 years of talent acquisition or recruiting experience.
  • Proficient in Microsoft Excel, including pivot tables and formulas.
  • Experience sourcing and hiring for corporate and technical roles.
  • Strong organizational and attention to detail skills.
  • Excellent communication skills.
  • Able to work in a fast-paced environment.
  • Experience with ATS is a plus.

Benefits

  • Competitive salary range.
  • Opportunity to work remotely.
  • Inclusive and diverse workplace culture.
  • Professional growth and development opportunities.
  • Access to advanced tools and technologies.

Innodata

Innodata

Innodata is a leading data engineering company, publicly traded on NASDAQ (INOD), with a global presence in 13 cities and over 3,000 employees. The company serves more than 2,000 clients, including 4 out of 5 of the world's largest technology firms, as well as major players in financial services, insurance, law, and medicine. By leveraging advanced machine learning and artificial intelligence technologies, Innodata is committed to delivering optimized digital data solutions across various industries. The company is currently focused on the next generation of Large Language Models, seeking innovative Language Specialists to enhance AI capabilities and contribute to the evolution of generative AI.

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