Data Entry Work (REMOTE JOB)

Innodata Inc.; Madrid; A distancia; EUR 30.000 - 50.000; A tiempo parcial

Descripción de la vacante

A leading data engineering company is seeking a Data Annotator to support a data annotation and linguistic quality project for training Large Language Models (LLMs). This fully remote, freelance opportunity offers flexible working hours (4–5 hours per day) and requires a Bachelor's degree and proficiency in English. The role involves reviewing and annotating data to enhance AI performance and accuracy.

Servicios

Flexible working hours

Fully remote opportunity

Formación

• Bachelor’s degree mandatory.
• Good proficiency in English.
• Prior experience in data annotation, linguistic evaluation, or AI training projects.

Responsabilidades

• Perform data annotation and evaluation according to project guidelines.
• Ensure accurate and contextually relevant annotations for LLM training.
• Review and refine AI-generated content for accuracy.
• Maintain consistency across deliverables while meeting project standards.
• Collaborate with the team for feedback and improvements.
• Comply with confidentiality and quality assurance protocols.

Conocimientos

Proficiency in English

Data annotation experience

Educación

Bachelor's degree

Descripción del empleo

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.

Job Title

Data Annotator

Employment Type

Freelance / Project-Based

Location

Remote (Work From Home)

Eligibility

Open to candidates with a Bachelor’s degree

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 hours.

The role involves understanding cultural and linguistic nuances, reviewing and annotating data, and following detailed project-specific guidelines to enhance AI performance and accuracy.

Responsibilities

• Perform data annotation, and text evaluation in accordance with project-specific guidelines.
• Ensure high-quality, accurate, and contextually relevant annotations to support Large Language Model (LLM) training.
• Review, validate, and refine AI-generated content for grammatical, semantic, and contextual accuracy.
• Maintain consistency and quality across all deliverables while adhering to established project standards and timelines.
• Collaborate effectively with the project team to provide feedback and contribute to continuous improvement.
• Maintain strict confidentiality and comply with all project deadlines and quality assurance protocols.

Qualifications

• Bachelor’s degree mandatory.
• Good proficiency in the English language.
• Prior experience in data annotation, linguistic evaluation, or AI training projects.

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

Flexible working hours (4–5 hours per day) to suit your schedule.

The chance to contribute to cutting‑edge AI and Large Language Model (LLM) training initiatives, shaping the future of language technology.

For this role, you are required to complete the English assessment within a day from the date it is assigned to you.