Innodata Inc.
Entry-Level AI Data Labeler – Flexible Remote Work (UK Students Welcome)
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Innodata
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.
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Our global workforce includes over 5,000 employees in the United States, Canada, United Kingdom, the Philippines, India, Sri Lanka, Israel, and Germany.
Job Opportunity
We’re hiring UK-based freelancers for a fast-turnaround Data Annotation Project with Innodata – and we want you on the team!
- Role: Data Annotation Specialist
- Location: United Kingdom (Remote)
- Duration: 1 month (flexible start)
- Rate: $19/hour
- Work Type: Freelance, fully remote
- Experience: Prior annotation helpful but not mandatory – full guidelines provided!
This is a straightforward, task-based project perfect for students, career-changers, or anyone looking to earn extra income with flexible hours. You’ll complete simple annotation tasks following clear instructions – no complex tools or prior expertise needed.
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Why Apply?
- Get paid weekly
- Work from anywhere in the UK
- Build experience in AI/data projects
- Potential for future projects
Please note that the organization follows a strict no-fee recruitment policy and does not request any payment from candidates at any stage of the hiring process, including through third-party agencies or consultants. Candidates are advised to immediately report any such payment requests in connection with employment opportunities, as they are unauthorized and fraudulent.
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