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Generalist - Greek Speaker

Job in Phoenix, Maricopa County, Arizona, 85001, USA
Listing for: Frontier AI Lab
Part Time position Listed on 2026-11-11
Job specializations:
Salary/Wage Range or Industry Benchmark: 21000 - 39000 USD Yearly USD 21000.00 39000.00 YEAR

Job Description & How to Apply Below

Role

Title:

Generalist
- Greek Speaker

Role Type:
Contractor

Location:

Remote

Our team is engaging Generalist
- Greek Speakers to contribute to a dynamic customer project involving language data annotation and critical assessment. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.

Scope of Work
  • Annotate and categorize linguistic data in Greek to support AI model development.
  • Carefully read, comprehend, and compare long, multi-turn conversations and extended responses side by side for accuracy and intent.
  • Provide critical analysis and feedback on written Greek content, ensuring clarity, coherence, and context alignment.
  • Identify, flag, and document inconsistencies, ambiguities, or errors in Greek texts.
  • Engage with annotation tools and project platforms to submit deliverables efficiently and accurately.
  • Collaborate with project coordinators and follow detailed guidelines to meet project requirements.
  • Contribute insights that enhance the contextual understanding of Greek language nuances in AI applications.
Preferred Qualifications
  • Native or near-native fluency in both written and spoken Greek.
  • Strong proficiency in written and spoken English, with ability to interpret complex texts.
  • Demonstrated experience in data annotation, linguistic analysis, or language-related projects.
  • Bachelor’s degree in any field or equivalent practical experience.
  • Exceptional critical thinking abilities and meticulous attention to detail in reviewing lengthy content.
  • Previous participation in annotation projects or similar language data assignments is highly valued.
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