Data Annotator - Italian
Pubblicato il 04-08-2026 - Innodata in Pordenone
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.
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
.
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
- 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.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.