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Category: Data Annotation

Remote Data Annotators

March 17, 2026 admin Data Annotation, Remote, Worldwide

Natural Language (NL) Annotators will analyze and annotate user utterances by converting them into structured representations of intent.  Purpose:  These annotations enable AI systems to

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Remote Data Analyst

March 16, 2026 admin Data, Data Annotation, LATAM, Remote

Our startup (currently in Stealth) is an AI native, all-in-one data platform. Customers ingest and model all of their data, build free-form reporting, and ask

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Part-Time Admissions Tele-Recruiter

Remote Data Annotators

March 16, 2026 admin Data Annotation, Remote, Worldwide

We are urgently looking for experienced Data Annotators with hands-on expertise in image annotation, LiDAR annotation, and 2D/3D labeling to join our team within a

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Remote E-Commerce Evaluators

March 12, 2026 admin Data Annotation, Remote, Worldwide

Mercor is seeking expert evaluators to support a high-impact evaluation workflow in partnership with a leading AI research lab. This project focuses on the E-Commerce domain,

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AI Data Annotation Specialist

March 1, 2026 admin Data Annotation, Remote, Worldwide

Location: Global – Remote Working Hours: Flexible schedule, up to 10 hours/day and 40 hours/week About the Role Help shape the future of AI! We’re

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Remote Data Labeling Specialist

February 25, 2026 admin Data Annotation, Remote, Worldwide

We’re looking for Data Labeling Specialists to categorize, tag, and annotate data used to train AI systems. This is structured, task-based work that anyone with

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Entry Level Remote Contributors for IA Projects

February 23, 2026 admin Data Annotation, Entry Level, Remote, Worldwide

We are currently looking for Remote Contributors from around the world to participate in exciting Artificial Intelligence (AI) projects. If you’re detail-oriented, reliable, and looking

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Remote Sports Data Annotators

January 29, 2026 admin Data Annotation, Entry Level, Remote, Worldwide

Colossals AI builds advanced AI systems using high-quality, structured data. We work on large-scale annotation and model training projects across multiple domains, with a strong

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