3D Object Detection Labeler
Claru • Remote
Education
Not stated
Type
Hourly
Pay Rate
$55–$100/hr
Listed
13d ago
About this role
From the Claru listing
You'll annotate 3D point cloud data captured by LiDAR sensors, placing tight cuboid bounding boxes around objects like vehicles, pedestrians, cyclists, and static obstacles. Data originates from autonomous vehicle test drives and robotics platforms. Each scene requires correctly classifying object type, estimating orientation/heading, and flagging occluded or truncated objects. You'll work in tools like Scale AI's Lidar annotator, Segments.ai, or a custom internal web app — all browser-based with no local install needed.
Precision matters more than speed here. A misaligned cuboid or incorrect heading estimate on a vehicle directly degrades downstream perception model performance. You'll follow per-project annotation specs that define minimum point density thresholds for labeling, handling rules for partially visible objects, and class hierarchies. Disagreements with QA reviewers are resolved through an async comment thread, and you're expected to respond and correct within 24 hours.
This role suits people with spatial reasoning skills and experience in CAD, 3D modeling, GIS, or prior autonomous vehicle dataset work. Compensation is at the Expert tier given the technical precision involved. High-volume contributors with strong QA scores are eligible for senior labeler status, which includes project lead responsibilities and a pay bump.
Requirements
- Must be eligible to work in Remote
- Fluent proficiency in English (Written & Verbal)
- Reliable high-speed internet connection
- Bachelor's degree or equivalent professional experience
- Demonstrated expertise in Generalist
Why this role
At $55–$100/hr, this remote 3D Object Detection Labeler role pays competitively without asking you to relocate, interview in person, or keep fixed hours in Generalist.
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Common questions
What makes this one of Claru's higher-paying roles?
Claru bands its desk-based work by how much judgement a task needs. This listing sits in the top band at $55-$100/hr, alongside its RLHF evaluation, medical and 3D vision annotation and red-teaming roles, all of which expect graduate-level or professional depth in the subject and the ability to justify a score in writing. Its entry-tier text labeling sits at $20-$35/hr for comparison.
Is Claru desk work a steady queue or does it arrive in batches?
Batches. Claru describes this work as asynchronous with no scheduled hours and no meetings: you claim a batch, complete it and submit. There is no guarantee a new batch is waiting when you finish one, so treat it as recurring project income rather than a fixed weekly wage.
Can I work on Claru from outside the United States?
For the desk-based annotation and evaluation roles, yes: they are listed as remote with no country gate. The country restrictions on Claru apply to its video capture listings, which are limited to the specific markets named on each one.
Do I need to install anything to do the work?
No. Claru's annotation and evaluation work runs in browser-based tools, including third-party platforms such as Segments.ai for 3D work and DICOM viewers for medical imaging, so there is no local install to maintain.
Do task-based AI training roles require an interview?
Most skip a live interview entirely and gate access through an automated assessment or qualification task instead. Where we've confirmed the specific requirement for this listing, it's called out above in What We Know About This Role.
What does task-based AI training work look like?
Practical, hands-on data work: recording short videos, categorizing images, rating text responses, or analyzing data. Tasks are designed to be short and distinct, typically 5 to 60 minutes each.
What does Generalist work look like for a 3D Object Detection Labeler?
Tasks here are scoped to Generalist, not generic labeling. As a 3D Object Detection Labeler, expect to draw on real domain judgment (evaluating outputs, correcting errors, or providing expert reasoning specific to Generalist) rather than following a one-size-fits-all rubric. If you don't have hands-on Generalist background, this is likely not the right listing to start with.
What specific skills does this listing call for?
Data Annotation, Entry Level, and Expert are named directly in the listing. If you don't have hands-on experience with these, expect the screening process to test for them directly rather than accepting adjacent experience as a substitute.
How much does this specific role pay?
This listing is posted at $55–$100/hr, an hourly rate. The range reflects experience level and negotiated terms, not a placeholder, so where you land in it depends on your background and the assessment. Pay can change between when we last checked the listing and when you apply, so confirm the current number on the platform's own application page before committing time.
What happens when I click Apply on this listing?
You'll be taken to Claru's external site to complete your application there. This listing links through a referral, but the process is identical to applying directly; the link just routes you correctly. Create an account on their site and follow their onboarding steps.
Who is behind Claru?
Claru is the contributor-facing brand of Reka AI, which collects human data for frontier AI labs across text, vision, video and robotics. Its board splits into regional video capture work and desk-based annotation and evaluation, and the apply link on this page is an affiliate link that does not change your pay or what you are offered.