[All remote jobs](https://jobicy.com/jobs.md)[![Appen logo](https://jobicy.com/data/server-nyc0409/galaxy/mercury/2021/12/3abd71f80f2049f65dc4444a9df0ccee.png)](https://jobicy.com/company/appen.md)[Appen](https://jobicy.com/company/appen.md) # 3D & LiDAR Data Annotation Analyst Review the role, location requirements, compensation details, and application process before deciding whether this opportunity fits your next career move. [Apply for this job](#job-application)[View company](https://jobicy.com/company/appen.md)ShareRemote from🌐 AnywhereSalaryUSD 30–32 / hourDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceOpen levelPublished4 Oct 2026Apply before3 Nov 2026Listing views40Application actions3Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. AI Summary ## The role, at a glance. This role produces high-quality ground-truth data for machine-perception models by annotating imagery, video, and LiDAR point clouds. The analyst labels 2D and 3D objects, segmentation, tracking, poses, and keypoints while following detailed specifications. Success depends on sustained visual accuracy, spatial reasoning, consistent throughput, and effective use of specialized annotation software. The position also requires documenting ambiguous scenes, sensor artifacts, tooling problems, and specification gaps for QA and process improvement. Familiarity with point clouds, sensor fusion, GIS, surveying, AutoCAD, robotics, or autonomous-vehicle datasets is beneficial. ## Role DNA A quick view of the complexity, pace, ownership and collaboration implied by the job description. ### Job Complexity 3/5EasyHard ### Pace & Pressure 4/5RelaxedFast-paced ### Autonomy Level 3/5GuidedFull ownership ### Communication Load 3/5IndependentCollaborative AI insightThe work requires careful 3D spatial interpretation and prolonged concentration while meeting defined production and accuracy targets. It is moderately complex because detailed guidelines and QA processes provide structure, but edge cases and LiDAR data demand sound judgment. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job medianMarket rate$31US market range$25–$380$42 AI insightThe disclosed pay is $30–$32 USD per hour, with a midpoint of $31 per hour. The estimated US market range for a 3D/LiDAR data annotation analyst is approximately $25–$38 per hour, varying with annotation complexity, production expectations, and prior point-cloud or autonomous-systems experience. ## Core skills Skills and capabilities most closely associated with this opportunity. [LiDAR annotation](https://jobicy.com/jobs?search_keywords=LiDAR%20annotation.md)[3D data annotation](https://jobicy.com/jobs?search_keywords=3D%20data%20annotation.md)[image annotation](https://jobicy.com/jobs?search_keywords=image%20annotation.md)[video annotation](https://jobicy.com/jobs?search_keywords=video%20annotation.md)[point clouds](https://jobicy.com/jobs?search_keywords=point%20clouds.md)[computer vision](https://jobicy.com/jobs?search_keywords=computer%20vision.md)[data quality](https://jobicy.com/jobs?search_keywords=data%20quality.md)[object tracking](https://jobicy.com/jobs?search_keywords=object%20tracking.md)[semantic segmentation](https://jobicy.com/jobs?search_keywords=semantic%20segmentation.md)[spatial reasoning](https://jobicy.com/jobs?search_keywords=spatial%20reasoning.md) Sample interview questionsHow would you handle an object that is partially occluded in a LiDAR point cloud?I would apply the documented occlusion and inclusion rules, label only the supported visible geometry, and preserve the object identity where the guidelines allow it. If the scene remains ambiguous, I would flag it with clear evidence rather than make an unsupported assumption. How do you maintain accuracy during repetitive, high-volume annotation work? I use a consistent review routine, verify labels against the specification before submission, and use shortcuts and tool features to work efficiently without bypassing checks. I also monitor recurring errors and adjust my workflow early. What information would you include when reporting a tooling or data-quality issue? I would document the affected task or frame, describe the observed behavior and expected behavior, provide reproducible steps, note the data type or sensor involved, and attach screenshots or examples when permitted. What is important when tracking an object across a sequence of images or video frames? I would maintain a consistent identity across frames, account for motion and temporary occlusion, verify the object’s position and boundaries frame by frame, and follow the defined rules for entries, exits, and lost tracks. How would you respond to QA feedback that conflicts with your interpretation of a guideline? I would review the feedback and the relevant guideline carefully, ask for clarification through the established process if needed, and apply the confirmed interpretation consistently in future tasks. I would also suggest an example or clarification for the edge-case documentation. Opportunity details ## About this role. ### 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 * Strong attention to detail and the ability to maintain accuracy while performing repetitive, visually intensive work for extended periods. * Strong spatial reasoning skills, including the ability to interpret 3D environments and understand object size, position, and orientation. * Ability to learn and navigate complex, purpose-built software and become productive with keyboard shortcuts and other tooling features. * Experience working in a fast-paced, scaled environment with defined productivity, quality, or accuracy targets. * Experience with image annotation GenAI workflows * Reliable high-speed internet, a distraction-free workspace, and the ability to work on a company-provisioned machine within a controlled environment. ### Nice to Haves * Associate or bachelor’s degree. * Experience with image, video, LiDAR, or 3D annotation tools. * Experience with subsurface utility engineering (SUE), construction surveying, surveying, GIS, or other work involving spatial interpretation of physical environments. * Experience with AutoCAD or similar type tools * Experience in construction, mining, agriculture, industrial operations, or heavy equipment environments. * Familiarity with point cloud data, sensor fusion, or camera-LiDAR calibration. * Experience working with autonomous vehicles, robotics, or machine perception datasets. ### Compensation ### Additional Information ### 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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