Data Annotation Analyst

Job not on LinkedIn

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $30 - $32 / hour

⏱ Part Time

🟡 Mid-level

🟠 Senior

⬇️ Data Entry

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👻 Ghost score 0%

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Appen

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1996

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

Appen is a company that specializes in providing high-quality, scalable datasets for AI models and applications. With over 25 years of experience, Appen supports the complete AI lifecycle by collecting, curating, fine-tuning, and monitoring data. Their platform is known for its flexibility, allowing enterprises to unlock the potential of their enterprise data through human-AI collaboration. Appen's global reach and expertise make them a trusted partner in accelerating the development and implementation of AI technologies across various industries.

📋 Description

• Annotate 2D and 3D objects across images, video, and LiDAR point clouds, including vehicles, machinery, people, signage, and environmental features • Create and maintain segmentation, object tracking, pose, and keypoint annotations across sequences • Apply annotation guidelines covering class definitions, occlusion rules, object thresholds, and inclusion/exclusion criteria • Review work, respond to QA feedback, and maintain quality and accuracy standards • Identify and escalate ambiguous scenes, sensor artifacts, tooling issues, and specification gaps • Document data quality and tooling issues with clear details and reproduction steps • Participate in calibration sessions, guideline reviews, and team standups • Share observations to improve annotation guidelines, taxonomies, and edge-case documentation • Produce accurate, consistent annotations at the expected volume while maintaining reliable datasets

🎯 Requirements

• Strong attention to detail and ability to maintain accuracy during repetitive, visually intensive work • Strong spatial reasoning skills, including interpreting 3D environments and understanding object size, position, and orientation • Ability to learn and navigate complex purpose-built software, keyboard shortcuts, and 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 • Distraction-free workspace • Ability to work on a company-provisioned machine within a controlled environment • Experience with image, video, LiDAR, or 3D annotation tools • Experience with subsurface utility engineering, construction surveying, surveying, GIS, or spatial interpretation of physical environments • Experience with AutoCAD or similar tools • Experience in construction, mining, agriculture, industrial operations, or heavy equipment environments • Familiarity with point cloud data, sensor fusion, or camera-LiDAR calibration • Experience with autonomous vehicles, robotics, or machine perception datasets

🏖️ Benefits

• Flexible work arrangements • Tools, resources and development opportunities • Reliable high-speed internet requirement • Company-provisioned machine • Controlled work environment