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 (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 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
**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.
**Note:**
For this role, you are required to complete the
**English assessment**
within
**two (2) days**
from the date it is assigned to you.
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 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
**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.
**Note:**
For this role, you are required to complete the
**English assessment**
within
**two (2) days**
from the date it is assigned to you.
