Data Annotator

Innodata Inc.; À distance; EUR 40 000 - 60 000; Temps partiel

Résumé du poste

A leading data engineering company is seeking a remote Data Annotator to support data annotation for training Large Language Models (LLMs). This role offers flexibility of 4–5 hours per day and requires a Bachelor’s degree, alongside good English proficiency and prior experience in data annotation or AI projects. Key responsibilities include ensuring accurate and relevant annotations and collaborating with the project team. This position allows for significant contribution to AI advancements while working from home.

Prestations

Flexible working hours

Work from home

Qualifications

• Required to have a Bachelor’s degree.
• Good proficiency in the English language.
• Prior experience in data annotation or AI training projects.

Responsabilités

• Perform data annotation and text evaluation in accordance with project guidelines.
• Ensure high-quality, accurate annotations for LLM training.
• Review AI-generated content for linguistic and contextual accuracy.
• Maintain quality across deliverables adhering to project standards.
• Collaborate with the project team for feedback and improvement.
• Comply with project deadlines and quality assurance protocols.

Connaissances

Good proficiency in English

Experience in data annotation

Formation

Bachelor’s degree

Description du poste

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 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 Role

Job Title: Data Annotator
Employment Type: Freelance / Project-Based
Location: Remote (Work From Home)
Work Hours: Flexible; minimum commitment of 4–5 hours per day
Eligibility: Open to candidates with a Bachelor’s degree

We are seeking a 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.

Key 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.

Required Skills & Qualifications

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

What Makes This Role Exciting

• 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.

Note

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