[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 AI Summary Appen is hiring a remote US Data Annotation Analyst to create ground-truth labels for machine-perception datasets. The role involves annotating imagery, video, and LiDAR point clouds for objects, segmentation, tracking, pose, and keypoints. The analyst follows detailed specifications, meets quality and productivity targets, and documents ambiguous data or tooling issues for escalation. Strong spatial reasoning, sustained attention to detail, and comfort with specialized annotation software are central to success. Experience with 3D annotation, GIS, AutoCAD, sensor fusion, or autonomous-machine datasets is advantageous.[Apply for this job](#job-application)[View company](https://jobicy.com/company/appen.md)ShareRemote from[USA](https://jobicy.com/job-region/usa.md)SalaryUSD 30–32 / hourDepartment[Data Science & Analytics](https://jobicy.com/categories/data-science.md)EmploymentFull TimeExperienceOpen levelPublished6 Nov 2026Apply before6 Dec 2026Listing views47Application actions1Application toolkit ## Make your next move. Prepare your resume, explore your fit, and draft a cover letter for this opportunity. 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. Show more [Apply now >](https://jobicy.com/jobs/159390-3d-lidar-data-annotation-analyst-2.md) * ![Upload CV](data:image/svg+xml;base64,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) ### Upload your resume now To unlock remote work opportunities and be discovered by global employers. This job listing has been manually reviewed by the Jobicy Trust & Safety Team for compliance with our posting guidelines, including verification of the company's legitimacy, accuracy of job details, clarity of remote work policy, and absence of misleading or fraudulent content. ## 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 precise 2D/3D spatial interpretation and consistent application of detailed labeling rules across repetitive, high-volume datasets. It is moderately challenging because accuracy targets and edge-case escalation demand focus, although the work is guided by established specifications. ## Salary analysis Estimated compensation compared with the broader US market for similar roles. Estimated job median (per hour)Market rate$31US market range (per hour)$28–$380$41.80 AI insightThe hourly pay period is inferred from the job context; it was not explicitly stated by the employer. The employer compensation is $30–$32 per hour, with a midpoint of $31 per hour. The hourly period is inferred from the source employment type, as the ATS compensation record itself does not state a pay period. Estimated US market pay for comparable 3D/LiDAR data-annotation work is approximately $28–$38 per hour. ## 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 cloud analysis](https://jobicy.com/jobs?search_keywords=Point%20cloud%20analysis.md)[Semantic segmentation](https://jobicy.com/jobs?search_keywords=Semantic%20segmentation.md)[Object tracking](https://jobicy.com/jobs?search_keywords=Object%20tracking.md)[Pose estimation](https://jobicy.com/jobs?search_keywords=Pose%20estimation.md)[Keypoint annotation](https://jobicy.com/jobs?search_keywords=Keypoint%20annotation.md)[Spatial reasoning](https://jobicy.com/jobs?search_keywords=Spatial%20reasoning.md)[Quality assurance](https://jobicy.com/jobs?search_keywords=Quality%20assurance.md)[Data quality documentation](https://jobicy.com/jobs?search_keywords=Data%20quality%20documentation.md)[Annotation tools](https://jobicy.com/jobs?search_keywords=Annotation%20tools.md)[AutoCAD](https://jobicy.com/jobs?search_keywords=AutoCAD.md)[Sensor fusion](https://jobicy.com/jobs?search_keywords=Sensor%20fusion.md) Sample interview questionsHow would you handle an object that is heavily occluded in a LiDAR point cloud and camera image?I would apply the documented occlusion and inclusion rules, use all available sensor views and sequence context, and label only what the specification permits. If the evidence remains ambiguous, I would flag the case and escalate it rather than make an unsupported assumption. What practices help you maintain annotation accuracy during repetitive, high-volume work? I work in structured batches, use keyboard shortcuts carefully, perform regular self-checks, and compare difficult cases against the guidelines. I also watch for recurring errors and incorporate QA feedback immediately into my workflow. Describe how you would document a suspected annotation-tool issue. I would record the dataset or task identifier, the exact steps taken, the expected and actual behavior, relevant screenshots or examples, and the tool version if available. This allows the technical team to reproduce and prioritize the issue efficiently. How do segmentation, object tracking, and keypoint annotation differ? Segmentation identifies the pixels or points belonging to an object or class, tracking maintains the identity of an object across frames, and keypoint annotation marks defined reference points such as joints or vehicle landmarks. Each requires consistent application of the relevant taxonomy and sequence rules. How would you respond to QA feedback that conflicts with your interpretation of a guideline? I would review the feedback and the written specification, ask for clarification during calibration if needed, and adopt the agreed interpretation for future tasks. I would also note the edge case so the team can improve the guideline or example set. Next step ## Apply now. Follow the employer’s application method and review Jobicy’s safety guidance before sharing personal information. 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