04 ago - Roma
Innodata
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.
L'esperienza richiesta ai candidati, così come le competenze e le qualifiche aggiuntive necessarie per questo lavoro, sono elencate di seguito.
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 Tit
le: Data Annota
torEmployment Ty
pe: Freelance / Project-Ba
sedLocati
on: Remote (Work From Ho
me)Work Hou
rs: Flexible; minimum commitment of 4–5 hours per
dayEligibili
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
languagePrior 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. xysqume 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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