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Data Annotator - Italian
Job Description & How to Apply Below
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. xpavfwm 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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