3D & LiDAR Data Annotation Analyst

Appen · Anywhere

  • Junior
  • Full-time
  • $30 – $32 per hour
  • Posted 2026-09-20
  • Confirmed live on 25 September 2026

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Job description

About the Role 
We’re building high-quality ground-truth datasets used to train and validate perception models for autonomous and operator-assisted machines working in complex, real-world environments. 
As a Data Annotation Analyst, you’ll work with camera imagery, video, and LiDAR point clouds to create precise labels that help perception systems understand objects, people, terrain, and surrounding environments. You’ll work in specialized annotation tools, following detailed specifications while balancing accuracy, consistency, and production volume. 
Your Impact 
Annotate 2D and 3D objects across images, video, and LiDAR point clouds, including vehicles, machinery, people, signage, and environmental features.
Create and maintain accurate segmentation, object tracking, pose, and keypoint annotations across sequences.
Apply detailed annotation guidelines, including class definitions, occlusion rules, object thresholds, and inclusion/exclusion criteria.
Review your work, respond to QA feedback, and maintain established quality and accuracy standards.
Identify and escalate ambiguous scenes, sensor artifacts, tooling issues, and gaps in specifications rather than making assumptions.
Document data quality and tooling issues with clear details and reproduction steps.
Participate in calibration sessions, guideline reviews, and team standups to maintain consistent interpretations.
Share observations that help improve annotation guidelines, taxonomies, and edge-case documentation. 
Success in this role means producing accurate, consistent annotations at the expected volume while helping maintain a reliable, high-quality dataset. 
What You Bring 

Why You’ll Love Working Here
At Appen, we foster a culture of innovation, collaboration, and excellence. We value curiosity, accountability, and a commitment to delivering the highest-quality AI solutions for frontier models.
You’ll work on complex challenges that shape the future of AI across industries and geographies, alongside talented people in a culture that values humility over ego. You’ll have the flexibility to deliver in a way that works for you and your team, supported by tools, resources and development opportunities to continue to build your capability over time.
About Appen
Appen has been a leader in AI training data for over 30 years. We specialise in human generated data to train, fine tune, and evaluate models across generative AI, large language models, computer vision, and speech recognition. Our AI assisted data annotation platform and global crowd of more than 1 million contributors in over 200 countries support model pre-training, supervised fine tuning, evaluation and benchmarking, safety and red teaming, and multilingual global expansion.

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