AI delivery
Data annotation and labelling
Corpshore Emirates delivers text, image, video, audio and multimodal annotation from Dubai and Abu Dhabi, with field data collection behind it and a layered quality pipeline throughout. Corpshore AI runs more than 15,000 AI seats across twelve or more countries, so a UAE client gets onshore judgement for Arabic and regulated data and network scale for volume.
Annotation is where most AI programmes quietly succeed or fail. A model is only as good as the labels it learns from, and labels are only as good as the guidelines, the annotators and the checks behind them. Corpshore runs annotation as a production discipline with measured quality, not as a crowd task where accuracy is hoped for. Inter-annotator agreement is tracked, guidelines are versioned and an independent quality lead samples every batch.
The work spans every modality a model needs, from text and images to video, audio and multimodal data, and reaches back into field collection where the data does not yet exist. Arabic and dialect work and regulated data stay onshore in Dubai and Abu Dhabi, while high-volume labelling runs through the wider network. One contract, one guideline set and one acceptance standard cover the whole pipeline.
What this service covers
Text annotation
Entity, intent, sentiment, classification, relationship and span labelling across languages, including Arabic and dialects, to guidelines with worked examples and edge-case rules.
Image annotation
Bounding boxes, polygons, keypoints, segmentation and classification for computer vision, with pixel-level work where the task needs it.
Video annotation
Frame and object tracking, event and action labelling and temporal segmentation for models that reason over motion and time.
Audio annotation
Transcription, speaker and event labelling, segmentation and sound classification across languages and dialects.
Multimodal annotation
Labelling that spans text, image, audio and video together, for models that combine signals, with guidelines that keep judgement consistent across the modalities.
Field data collection
Structured collection of images, video, speech, sensor and location data to a defined schema, including rare-language and underserved-locale collection where public data does not exist.
Quality pipeline
Layered review with consensus, adjudication and independent audit, inter-annotator agreement measured per task and rework routed back with targeted retraining.
Guideline development
Building and versioning the annotation guidelines with the client, including edge-case rules and calibration, so the same instruction produces the same label across a large team.
How it is delivered from the UAE
Delivered from Dubai and Abu Dhabi for Arabic, dialect and regulated data, with the wider Corpshore AI network of more than 15,000 seats behind it for high-volume and multi-language work. Projects run as managed batches or dedicated annotation teams, across every modality, to one guideline set and one acceptance standard.
Small
5 to 15 annotatorsA single-modality pod with a project lead and a quality lead, suited to a pilot dataset or a first labelled batch.
Mid-market
15 to 60 annotatorsDedicated teams by modality and language, each with a team lead, senior annotators for adjudication, a dedicated quality lead running agreement metrics and an ML-ops engineer on tooling and throughput.
Enterprise
60 annotators and aboveA multi-modality, multi-language operation with a delivery manager, a quality and calibration layer, ML-ops and tooling engineers and an account director, blended across the UAE and the wider network.
Compliance and data handling
- Personal data within annotation sets handled under UAE Federal Decree-Law No. 45 of 2021 (PDPL), with DIFC Data Protection Law 2020 or ADGM Data Protection Regulations 2021 applied where the client or the processing sits there.
- Cross-border transfer of data for labelling governed by a documented basis and data-handling agreement, with EU GDPR applied where data subjects fall under it, so data that leaves the UAE for annotation moves defensibly.
- Provenance, licensing and consent recorded for collected and sourced data, including subject consent for images and audio, so permitted use is evidenced per dataset.
- De-identification, secure workspaces and role-based access on sensitive data, so annotators see only what the task requires and nothing leaves the controlled environment.
Technology
- The client's own annotation and data platforms, operated by our teams
- Annotation tooling across text, image, video, audio and multimodal work
- Consensus, adjudication and inter-annotator agreement tooling
- Field-collection and quality-audit tooling
KPIs and reporting
- Annotation throughput. By modality and language, per shift and per project, against forecast.
- Inter-annotator agreement. Per task and per guideline version, with disagreement analysis feeding guideline updates.
- Quality and acceptance rate. Against the client's acceptance criteria, sampled by an independent quality lead.
- Rework rate. Share of items returned for correction, trended to show guideline and training effect.
- Turnaround time. From batch release to accepted delivery, per batch, against the agreed service level.
Governance cadence
Daily production stand-ups, a weekly delivery review covering throughput, agreement and acceptance, a monthly business review against the service level agreement and calibration sessions whenever a guideline changes. Guideline versions are tracked so a quality shift can be traced to the change that caused it.
Industry applications
Logistics and trade
Image and video annotation for computer vision on documents, vehicles, warehouses and yards, with field collection where the data does not yet exist.
Healthcare
Clinical text and image annotation under strict de-identification, secure workspaces and human oversight.
Retail and ecommerce
Product, catalogue and multimodal annotation for search, recommendation and visual models, in Arabic and English.
Government and public sector
Arabic-first text, image and field data annotation with data residency, consent and provenance built into the work.
Pricing and engagement models
Frequently asked questions
Which data types can Corpshore annotate?
Text, image, video, audio and multimodal data, in Arabic, English and the wider language mix a model needs. The work reaches back into field collection where the data does not yet exist, so a client can commission both the collection and the labelling under one contract and one quality standard.
How is annotation quality measured?
Quality is measured, not hoped for. Inter-annotator agreement is tracked per task and guideline version, review runs in layers with consensus and adjudication, and an independent quality lead samples every batch against the client's acceptance criteria. Rework is routed back with targeted retraining rather than silently corrected.
Can you annotate Arabic and dialect data accurately?
Yes. Arabic and dialect annotation is delivered from Dubai and Abu Dhabi with native speakers, to guidelines written with dialect and diacritisation rules. Where judgement varies, agreement is tracked and a native-speaker quality lead adjudicates, so labels stay consistent across a large team.
Do you use our annotation platform or your own?
Either. Teams work in the client's annotation and data platforms where those are set, and bring category-standard tooling where they are not. We do not claim named vendor partnerships. The choice follows your stack and security position rather than a fixed template we impose.
How do you keep labels consistent across a large team?
Through guidelines with worked examples and edge-case rules, versioned and calibrated with the client before they take effect. Calibration sessions align annotators on the harder cases, agreement metrics surface drift, and a change in the guideline is tracked so its effect on quality can be seen.
Is our data secure during annotation?
Yes. Sensitive data is de-identified, held in secure workspaces and access-controlled so annotators see only what the task requires. Data is handled under the UAE PDPL and, where relevant, DIFC or ADGM law and GDPR, and cross-border movement runs on a documented basis and data-handling agreement.
Can you collect data we do not have yet?
Yes. Field data collection gathers images, video, speech, sensor and location data to a defined schema, including rare-language and underserved-locale collection where public data does not exist. Subject consent and licensing are recorded, so the collected data arrives with its provenance and permitted use evidenced.
How fast can annotation start and scale?
A pilot batch can start within weeks of a signed contract and security review. Scaling runs through guideline calibration, a pilot with quality sign-off and then a controlled ramp, so agreement and acceptance hold as volume grows rather than degrading when the team gets larger.
Related services
Related industries
Annotation, data collection and quality-lead roles across the UAE and the wider network are on the jobs board.
Scope this for your operation
All UAE enquiries answered within six hours.
Or explore roles on this team