Data Annotator - Italian

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7ak2rn

pInnodata (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. /ppBy 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. /ppbr / /ppbr /Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel and Germany /ppbr / /ppstrong.br /About the Ro /strong /ppbr / /ppstronglebr /Job Tit /strongle: Data Annota /ppstrongtorEmployment Ty /strongpe: Freelance / Project-Ba /ppstrongsedLocati /strongon: Remote (Work From Ho /ppstrongme)Work Hou /strongrs: Flexible; minimum commitment of 4–5 hours per /ppstrongdayEligibili /strongty: Open to candidates with a Bachelor’s deg /ppbr / /ppbr / /ppreebr /br /We are seestrongking Data Anno /strongtator to support a data annotation and linguistic quality project aimestrongd at training Large Language Models ( /strongLLMs). This strongis a freelance, remote opport /strongunity that offers flexible working h /ppours.The role involves understanding cultural and linguistic nuances, reviewing and annotating data,



and following detailed project-specific guidelines to enhance AI performance and accu /ppbr / /ppstrongracy.br /Key Responsibi /strong /ppbr / /pullilitiesbr /Perform data annotation, and text evaluation in accordance with project-specific guid /lilielines.Ensure high-quality, accurate, and contextually relevant annotations to support Large Language Model (LLM) tr /liliaining.Review, validate, and refine AI-generated content for grammatical, semantic, and contextual ac /lilicuracy.Maintain consistency and quality across all deliverables while adhering to established project standards and tim /lilielines.Collaborate effectively with the project team to provide feedback and contribute to continuous impro /lilivement.Maintain strict confidentiality and comply with all project deadlines and quality assurance pro /li /ulpbr / /ppstrongtocols.br /Required Skills Qualif /strong /ppbr / /pullistrongicationsbr /Bachelor /strong’s degree in m /liliandatory.Native proficiency in Italian language and the English /lili languagePrior experstrongience in data a /strongnnstrongotation, linguistic e /strongvaluastrongtion, or AI /strong training /li /ulpbr / /ppstrongprojects.br /What Makes This Rol /strong /ppbr / /pullistronge Excitingbr /Fully remote /strongopportunity, allowing you to work comfortably /lilistrong from home.Flexible wo /strongrking hours (4–5 hours per day) to suit you /lilir schedule.Thestrong chance to contribute to cutting-edge AI and Large Language Model (LLM) training /stronginitiatives, shaping the future of language /li /ulpbr / /ppstrongtechn /strong /ppology.br /Note:For this role, you are required to cstrongomplete the Englis /strongh assessstrongment within /strongtwo (2) days from the date it is assi /ppbr / /pgned to you.

Vedi l’offerta su Go Lavoro: golavoro.it/annuncio-lavoro/7ak2rn