Robotics data annotation services
Turn Raw Footage into Trainable Physical AI Data
Oworkers provides managed, high-scale robotics data annotation services. Working from footage and data supplied by your team or collection partner, our annotators create the time-aligned action labels, categories, descriptions, quality outcomes, and reviewed datasets that make raw recordings trainable.
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Robotics data annotation services
What Oworkers Does
Oworkers transforms raw human-demonstration footage and robot-execution video into structured, quality-controlled, model-ready datasets. We use scalable teams of trained in-house annotators to timestamp, segment, categorize, describe, review, redact, validate, curate, and adjudicate data at production scale.
What Oworkers Does Not Claim to Do
The following activities remain the responsibility of the robotics company or its specialist partners: recording human demonstrations in the field, supplying cameras or wearable hardware, teleoperating robots, calibrating sensors, designing robot-control policies, training models, and deploying robots. Oworkers can annotate the footage and data produced at those stages.
Where Oworkers Fits in the Robotics Training Lifecycle
Robotics Training Step | Typical Owner | Oworkers Role |
|---|---|---|
1. Define robot task, environment and
success criteria | Robotics company | REFERENCE ONLY |
2. Record human work, teleoperation or robot-execution footage | Robotics company / collection partner | REFERENCE ONLY — Oworkers receives supplied data |
3. Prepare and ingest raw footage | Robotics company / data platform | REFERENCE ONLY — Oworkers performs agreed data QA |
4. Timestamp, segment, classify and describe actions | Oworkers | CORE OWORKERS SERVICE |
5. Validate, redact, curate and adjudicate labels | Oworkers | CORE OWORKERS SERVICE |
6. Train perception, VLA or control models | Robotics company / AI lab | REFERENCE ONLY |
7. Test and deploy the robot | Robotics company / integrator | REFERENCE ONLY |
8. Analyze rollout errors and improve later datasets | Shared workflow | OWORKERS ANNOTATES FAILURES / RECOVERY DATA |
1. Define robot task, environment and success criteria
2. Record human work, teleoperation or robot-execution footage
3. Prepare and ingest raw footage
4. Timestamp, segment, classify and describe actions
5. Validate, redact, curate and adjudicate labels
6. Train perception, VLA or control models
7. Test and deploy the robot
8. Analyze rollout errors and improve later datasets
Our Core Robotics DATA Annotation Services
The twelve services below are the actual Oworkers offer.
They are not robot engineering, data collection, or AI-model training services.
They are managed human annotation and quality services that transform the footage your team supplies into usable training data.
Temporal Action Segmentation
Our annotators divide continuous human demonstration or robot execution footage into discrete, time-bounded task steps.
We mark clear start and end timestamps for actions such as reach, grasp, lift, fold, align, place, inspect, and assemble.
Action Classification & Categorization
We apply your approved ontology to categorize each human or robot action consistently across large video volumes.
Your team defines the taxonomy; Oworkers operationalizes it through trained annotators, executable guidelines, and quality control.
Dense Action Description & Video Captioning
We write precise, time-aligned natural language descriptions of what a human or robot is doing.
These action captions connect visual observations with physical behavior, for example: “The operator grips the fabric edge with the right hand and aligns it under the needle.”
Object, Tool & Material Labeling
We annotate the items that appear in the work scene, including objects, tools, components, materials, and relevant attributes.
Depending on your specification, labels can include boxes, polygons, segmentation masks, identities, or state tags.
Hand-Object Interaction Annotation
We annotate how hands, tools, and objects interact in human demonstrations.
Labels can capture contact events, grasp type, hand roles, bimanual steps, object movement, and occlusion according to your project
ontology.
State, Outcome & Quality Labeling
We label before-and-after states, task completion, success or failure, defects, and rework requirements.
These labels give your engineering team structured evidence of whether the filmed action produced the intended result.
Human Demonstration Footage QA
Safety & Privacy Annotation / Redaction Support
We identify or mark faces, ID badges, screens, restricted zones, proprietary operational information, and safety-context elements in workplace footage.
Your compliance team defines the policy; Oworkers performs the agreed review, labeling, and redaction-support work.
Robot Execution Video Annotation
When you supply video of a robot performing a task, we annotate the action sequence, task phase, success state, hesitation, deviation, human intervention, and other agreed evaluation labels.
This is data annotation of robot generated footage not robot operation.
Failure Mode & Recovery Annotation
We review supplied robot rollout footage to identify the failure moment, classify the failure type using your taxonomy, and annotate the recovery or intervention step.
These labeled examples can then be used by your team to improve later datasets or model evaluation.
Preference Ranking & Human Adjudication
We conduct structured human comparisons of supplied robot trajectories, task attempts, or generated action descriptions using your acceptance criteria.
Our reviewers rank, validate, and adjudicate examples; your AI team determines how to use the resulting labels in its model workflow.
Dataset Curation & Quality Assurance
Why Oworkers for Robotics Data Annotation SERVICES?
- Dedicated in-house annotation teams rather than anonymous crowdsourcing, enabling training consistency and controlled delivery.
- Scalable managed operations across Oworkers delivery centers, designed for high-volume continuous video and action-description work.
- Secure work-from-office delivery and Oworkers’ established ISO 27001, ISO 27701, and GDPR compliance posture.
- Custom project ontologies, written annotation guidance, reviewer QA, and senior adjudication to translate your research specification into repeatable human work.
- Human-in-the-loop execution for the edge cases, context, and physical-action nuance that generic automation alone may not reliably resolve.
FAQ
Do you collect human demonstrations or operate robots?
What is the main Oworkers service on this page?
Can you annotate both human and robot actions?
Can you support Vision-Language-Action datasets?
How do you ensure consistency across hundreds of annotators?
No. Oworkers is a managed data-annotation and processing partner.
Your team or a collection partner records the human demonstrations, teleoperation data, or robot rollouts.
Oworkers then annotates, timestamps, segments, classifies, describes, reviews, and curates the supplied data.
Robotics Data Annotation Services
Outsource your robotics data annotation projects and receive insights with the KPI we achieve for our biggest clients.