23 may
|
Innodata
|
La Rioja
Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pwna6
About the Role
Job Title: Data Annotator
Employment Type: Freelance / Project-Based
Location: Remote (Work From Home)
Work Hours: Versátil; 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.
- Native proficiency in German language and 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.
Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pwna6
📌 Data annotator (La Rioja)
🏢 Innodata
📍 La Rioja