3D Data Annotation Specialist

🔥 17 minutes ago

🇮🇳 India – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

⬇️ Data Entry

🚫👨‍🎓 No degree required

👻 Ghost score 10%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.Why this score:

• Just posted.
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• No salary listed.

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Mindy Support

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2013

🤖 Artificial Intelligence

🏪 Marketplace

🤝 B2B

Artificial Intelligence • Marketplace • B2B

Mindy Support is a global platform that connects remote contributors and professionals with AI projects, offering flexible paid work such as data annotation, video and image labeling, and AI data collection. Operating under brands like Mindy Teams and backed by an organization active since 2013, the company serves Fortune 500 firms and startups with a distributed workforce across hubs in Cyprus, Poland, Romania, the Netherlands, India, and Ukraine. Mindy Support emphasizes flexible remote opportunities for a wide range of skill levels, secure payments, and information security compliance (ISO 27001, GDPR). It reports 1,250+ projects delivered and a network of 250k+ talents worldwide.

📋 Description

• Perform accurate 3D data annotation and labeling in the Cognic platform following project guidelines • Complete the onboarding program and pass internal certification before moving to live production • Maintain high quality and productivity standards across assigned tasks • Complete a short internal test • Sign the agreement • Start in production

🎯 Requirements

• At least 2 years of proven experience in 3D data annotation • Mandatory hands-on experience working with the Cognic tool • English Level: Upper-Intermediate or higher • High attention to detail and accuracy • A reliable PC/laptop capable of smoothly running 3D annotation tools • A stable internet connection • Must complete the onboarding program and pass internal certification before moving to live production

🏖️ Benefits

• Training (paid upon successful certification) • Flexible schedule (08:00–23:00) • Remote work format

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