LiDAR 3D Annotation, Data Labeling Specialist

Job not on LinkedIn

🔥 0 minutes ago

🇧🇩 Bangladesh – Remote

💵 $1 - $2 / hour

⏳ Contract/Temporary

🟢 Junior

⬇️ Data Entry

🚫👨‍🎓 No degree required

👻 Ghost score 0%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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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

• Fit tight 3D cuboids around vehicles, pedestrians, cyclists, and static structures across frame sequences • Label individual points within dense point clouds for 3D semantic segmentation • Review, refine, and audit AI-generated 3D bounding boxes • Verify sensor fusion alignments between LiDAR and 2D camera feeds • Track dynamic objects across multi-frame LiDAR scenes • Ensure consistency of pitch, roll, yaw, and heading vectors • Review spatial guidelines and practice on sample 3D point cloud datasets • Complete benchmark annotation tasks within quality and speed benchmarks • Complete the onboarding and certification process • Access ongoing paid project batches after passing certification

🎯 Requirements

• Minimum 6+ months of hands-on experience in 3D LiDAR point cloud annotation, 3D segmentation, or multi-sensor data labeling • Proven expertise using 3D spatial software such as Segments.ai, BasicAI, Cognic, Scale AI, CVAT, or equivalent platforms • Ability to maintain a 95%+ accuracy rate • Ability to adhere to tight cuboid boundary rules, point-count density thresholds, and occlusion handling • Ability to segment visually verifiable 3D spatial geometry objectively without unverified assumptions • Skilled in using software shortcuts and hotkeys for 3D sequence workflows • Ability to run background screen-recording tools • Reliable, detail-oriented, and comfortable working in a structured, quality-driven environment • Stable internet connection • Capable PC/laptop for 3D rendering • Screen-recording software compatibility • Ability to work 25–40 hours per week

🏖️ Benefits

• Paid certification/onboarding process (~1 hour, paid upon entry to production tasks) • Ongoing paid project batches • Priority access to advanced, higher-paying autonomous vehicle and spatial AI projects for high-performing contributors • Payment via PayPal, Bank Transfer, or Payoneer • Long-term contract • Remote-first work environment