Annotation & Review Specialist

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: Annotation & Review Specialist

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 High school or above degree

Language Required : Khmer (Asian Script)

We are seeking for detail-oriented and quality-focused individuals to join our team as Annotation & Review Specialists. 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 annotation tasks on images and videos as per project guidelines.
• Review annotated images and video content to ensure accuracy and quality standards are met.
• Provide clear and constructive feedback on annotations and identify areas requiring correction or improvement.
• Follow project instructions, workflows, and timelines consistently.
• Maintain high attention to detail while handling large volumes of data.
• Collaborate with the quality and project teams to improve annotation accuracy and efficiency.

Required Skills & Qualifications

• High school or Bachelor's degree in mandatory.
• Ability to understand and follow detailed annotation guidelines.
• Basic computer proficiency and familiarity with online tools/platforms.
• Prior experience in annotation, data labeling, or quality review is an added advantage.

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 Internal assessment and English assessment within two (2) days from the date it is assigned to you.