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Data Annotator - Italian

Remote / Online - Candidates ideally in
Rome, Lazio, Italy
Listing for: Innodata Inc.
Part Time, Remote/Work from Home position
Listed on 2026-08-04
Job specializations:
  • IT/Tech
    Data Annotation/ AI Labeling, AI Engineer (Applied/Software), Machine Learning/ ML Engineer, AI Evaluation
Job Description & How to Apply Below
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.

Scopra di più su questo ruolo leggendo le informazioni qui sotto, quindi invii la sua candidatura per essere preso/a in considerazione.

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 Tit le:
Data Annota
tor Employment Ty pe:
Freelance / Project-Ba
sed Locati on:
Remote (Work From Ho
me)
Work Hou rs:
Flexible; minimum commitment of 4–5 hours per
day Eligibili ty:
Open to candidates with a Bachelor’s deg

ree

We are see king Data Anno tator to support a data annotation and linguistic quality project aime d at training Large Language Models ( LLMs). This  is a freelance, remote opport unity 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
language

Prior exper ience in data a nn otation, linguistic e valua tion, or AI  training

projects.
What Makes This Rol

e Exciting
Fully remote  opportunity, allowing you to work comfortably
from home.

Flexible wo rking hours (4–5 hours per day) to suit you
r schedule. xdwybme 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 c omplete the Englis h assess ment within  two (2) days from the date it is assi

gned to you.
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