Data Annotator - Italian
Pubblicato il 06-08-2026 - Innodata in Sant'Ambrogio di Torino
Innodata (NASDAQ: INOD) is a leading data engineering company. With more than 2,000 customers and operations in 13 cities around the world, we are an AI technology solutions provider-of-choice for 4 out of 5 of the world's biggest technology companies, as well as leading companies across financial services, insurance, technology, law, and medicine.
Le seguenti informazioni forniscono una panoramica delle competenze, delle qualità e delle qualifiche necessarie per questo ruolo.
By combining advanced machine learning and artificial intelligence (ML/AI) technologies, a global workforce of subject matter experts, and a high-security infrastructure, we're helping usher in the promise of AI. Innodata offers a powerful combination of both digital data solutions and easy-to-use, high-quality platforms.
Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany
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About the Ro le
Job Title: Data Annota torEmployment Type: Freelance / Project-Ba sedLocation: Remote (Work From Ho me)Work Hours: Flexible; minimum commitment of 4–5 hours per dayEligibility: Open to candidates with a Bachelor's deg ree
We are seeking Data Annotator to support a data annotation and linguistic quality project aimed at training Large Language Models (LLMs). This is a freelance, remote opportunity that offers flexible working h ours.The role involves understanding cultural and linguistic nuances, reviewing and annotating data,
and following detailed project-specific guidelines to enhance AI performance and accu racy.
Key Responsibi lities Perform data annotation, and text evaluation in accordance with project-specific guid elines.Ensure high-quality, accurate, and contextually relevant annotations to support Large Language Model (LLM) tr aining.Review, validate, and refine AI-generated content for grammatical, semantic, and contextual ac curacy.Maintain consistency and quality across all deliverables while adhering to established project standards and tim elines.Collaborate effectively with the project team to provide feedback and contribute to continuous impro vement.Maintain strict confidentiality and comply with all project deadlines and quality assurance pro tocols.
Required Skills & Qualif ications Bachelor's degree in m andatory.Native proficiency in Italian language and the English languagePrior experience in data annotation, linguistic evaluation, or AI training projects.
What Makes This Rol e Exciting Fully remote opportunity, allowing you to work comfortably from home.Flexible working hours (4–5 hours per day) to suit you r schedule. xlwpduy The chance to contribute to cutting-edge AI and Large Language Model (LLM) training initiatives, shaping the future of language techn ology.
Note:For this role, you are required to complete the English assessment within two (2) days from the date it is assi gned to you.