AI data labeling looks simple from the outside. Draw a box, tag an image, check a text sample, move on. In reality, it is one of those jobs where small mistakes can quietly turn into messy model performance later.

That is why many AI teams hand this work to outsourcing companies. The right partner can help clean up raw data, build consistent annotation workflows, manage large labeling teams, and keep quality under control while the product team focuses on the model itself.

This list looks at AI data labeling outsourcing companies that support machine learning teams with human review, annotation, QA, and dataset preparation. Some are built for large enterprise programs. Others are better for fast-moving teams that need flexible support without building a full labeling operation in-house.

1. NeoWork

At NeoWork, we approach AI data labeling outsourcing as part of a wider operations partnership. We support AI training work across data labeling, evaluation sets, supervised fine-tuning, and reinforcement learning from human feedback. For labeling projects, that can mean working with images, text, audio, or video, depending on what the model needs to learn and how the client’s internal team already handles data.

What matters most in this work is consistency. A dataset can look finished on paper and still be hard to use if the rules keep changing or edge cases are handled differently from one batch to another. That is why we build stable teams around the workflow, add QA checkpoints, and keep reporting close to the actual labeling process. NeoWork differentiators include our 91% annualized teammate retention rate and our 3.2% candidate selectivity rate, which are especially relevant for AI data labeling because turnover and weak attention to detail can quietly damage model quality over time.

Key Highlights:

• AI data labeling support for image, text, audio, and video datasets
• Stable team structure built around ongoing annotation workflows
• QA, workforce management, and reporting included in managed operations support
• Teams can start small and scale once the labeling process is clear

Services:

• AI data labeling outsourcing
• Image annotation
• Text labeling
• Audio and video data labeling
• Evaluation dataset preparation
• Supervised fine-tuning support
• Reinforcement learning from human feedback
• Quality assurance and batch review

Contact Information:

• Website: www.neowork.com
• Facebook: www.facebook.com/neoworkteam
• LinkedIn: www.linkedin.com/company/neoworkteam
• Instagram: www.instagram.com/neoworkteam

2. BUNCH

BUNCH works with AI teams that need outside support for large data labeling workloads, from smaller batches to recurring volumes. BUNCH builds data labeling teams for AI model development and covers several data types, including images, video, text, audio, and LiDAR. The company also works across different verticals such as self-driving, healthcare, energy, transportation, entertainment, SaaS, e-commerce, fintech, and crypto.

BUNCH also uses detailed labeling guidelines, QA scorecards, double-pass annotation, and quality audits. For teams that want a fixed group of annotators, they offer full-time data labeling teams, while one-time labeling work can be handled through per-project pricing.

Key Highlights:

• Builds data labeling teams for AI and machine learning datasets
• Handles datasets from smaller batches to very large data volumes
• Uses labelers, team leads, QA specialists, and project managers in the workflow
• Supports both full-time annotator teams and per-project labeling work

Services:

• Image annotation
• Semantic image segmentation
• Video annotation
• Audio transcription
• Text annotation
• Sentiment analysis

Contact Information:

• Website: www.meetbunch.com
• E-mail: sales@meetbunch.com
• LinkedIn: www.linkedin.com/company/meetbunch
• Address: Capital House, Room 910, 9th Avenue, BGC, Taguig, Metro Manila, Philippines

3. Label Your Data

Label Your Data provides data labeling services for computer vision, NLP, QA, model validation, LLM fine-tuning, data collection, and content moderation. They work with visual, text, audio, aerial, satellite, and 3D point cloud data. Its service range is broad, but the focus stays close to AI teams that need labeled data for model training, review, or production use.

Teams can send sample data, review the output, and then move into a larger labeling setup if the quality and budget match their needs. They cover detailed annotation methods such as bounding boxes, polygons, cuboids, keypoints, semantic segmentation, panoptic segmentation, and LiDAR or radar annotation.

Key Highlights:

• Covers both computer vision and NLP annotation work
• Works with image, video, text, audio, aerial, satellite, and 3D point cloud data
• Uses a pilot process before larger labeling work begins
• Supports QA and model validation alongside annotation

Services:

• Computer vision annotation
• NLP annotation
• QA and model validation
• LLM fine-tuning support
• Data collection
• Content moderation

Contact Information:

• Website: labelyourdata.com
• E-mail: sales@labelyourdata.com
• Facebook: www.facebook.com/label-your-data
• Twitter: x.com/labelyourdata
• LinkedIn: www.linkedin.com/company/label-your-data
• Instagram: www.instagram.com/labelyourdata
• Address: 1007 North Orange Street, 4th Floor, Suite 122, Wilmington, DE 19801, USA
• Phone: +1 844 935 2538

4. Velan

Velan offers outsourced data annotation and labeling services for AI and machine learning teams that need structured datasets from raw data. Velan’s work covers the full labeling process, including data cleansing, annotation, validation, and delivery. They work with text, image, video, audio, and 3D LiDAR data, so the service is not limited to one format or one type of AI model.

Velan’s data labeling process is built around project requirements, tool selection, annotation, quality checks, and final dataset delivery. The company has in-house annotators and uses quality control steps to keep labeling consistent across batches.

Key Highlights:

• Provides end-to-end dataset labeling from cleansing to validation
• Works with text, image, video, audio, and 3D LiDAR datasets
• Offers flexible team sizes for small, mid-size, and larger labeling needs
• Includes data security controls as part of its outsourcing model

Services:

• Image annotation
• Bounding box annotation
• Polygon annotation
• Semantic segmentation
• Text annotation
• Entity recognition

Contact Information:

• Website: www.velaninfo.com
• E-mail: info@velaninfo.com
• Facebook: www.facebook.com/VelanInfo
• Twitter: x.com/velan_info
• LinkedIn: www.linkedin.com/company/velan-info-services
• Address: 8 The Green, Suite 300 Dover, DE 19901, USA
• Phone: +1 516 717 2049

5. ARDEM

ARDEM provides managed data annotation services for companies training AI, machine learning, document processing, and automation systems. The work covers image, text, document, audio, and video datasets, with trained annotation teams following client-approved guidelines. Rather than only labeling files and sending them back, the company also handles validation, quality review, exception management, and production tracking.

The service fits teams that need extra capacity for pilots, backlog processing, or ongoing data labeling. ARDEM’s background in data entry, document processing, indexing, cloud workflows, and business process automation gives its annotation work a more process-heavy setup. Security is also part of the model, with SOC 2 Type 2, ISO 27001, NDA availability, and secure delivery options listed as part of its outsourcing structure.

Key Highlights:

• Managed data annotation for AI, ML, document processing, and automation workflows
• Human reviewers supported by AI-assisted tools and automation
• Multi-step quality review and dataset validation
• Support for pilot work, backlog processing, and production-level labeling

Services:

• Image annotation
• Object labeling
• Text annotation
• Document labeling
• NLP dataset preparation
• Audio annotation

Contact Information:

• Website: ardem.com
• Facebook: www.facebook.com/ARDEMIncorporated
• Twitter: x.com/ARDEMinc
• LinkedIn: www.linkedin.com/company/ardem-incorporated
• Phone: +1-908-359-2600

6. DataVLab

DataVLab focuses on data labeling outsourcing for teams building AI products, especially those working with image, video, OCR, multimodal, and sensor-based datasets. They support segmentation masks, polygons, keypoints, detection, tracking, classification, OCR regions, and domain-specific labeling. Its setup is built around long-term trained annotators, stable labeling guidelines, and reporting that can be checked as work moves from pilot to production.

DataVLab offers GDPR-aligned workflows and optional EU-only annotation teams. The company also works with more technical data types such as LiDAR, radar, depth data, point clouds, and fused sensor inputs. 

Key Highlights:

• Data labeling support for image, video, text, audio, OCR, and multimodal datasets
• Long-term annotators assigned to the same dataset to reduce instruction drift
• GDPR-aligned workflows with optional EU-only teams
• Human-in-the-loop quality process with audits and feedback cycles

Services:

• Image labeling outsourcing
• Video labeling and tracking
• Document and OCR annotation
• Multimodal sensor data labeling
• LiDAR and radar annotation
• Point cloud annotation

Contact Information:

• Website: datavlab.ai
• E-mail: info@datavlab.fr
• Address: 5 Parvis Alan Turing, 75013 Paris, France

7. Cynergy BPO

Cynergy BPO works more like an outsourcing advisory partner than a single annotation delivery team. The company helps organizations find AI data annotation outsourcing options, depending on the mix of cost, time zone overlap, language needs, and technical capacity. Its focus is on connecting companies with annotation services for AI and machine learning datasets rather than positioning data labeling as a stand-alone back office task.

The service scope covers several common and advanced annotation needs, including object classification, LiDAR sensor fusion, semantic segmentation, video classification, NER, sentiment analysis, speech transcription, and 3D object detection. Cynergy BPO also puts a lot of attention on location strategy.

Key Highlights:

• Covers offshore and nearshore outsourcing models
• Supports annotation work for image, text, audio, video, LiDAR, and 3D data
• Focuses on matching outsourcing location with project needs
• Works across AI data annotation, content review, and broader BPO service areas

Services:

• AI data annotation outsourcing
• Labeling
• Feature extraction
• Multilayer object classification
• LiDAR sensor fusion
• Bounding box annotation

Contact Information:

• Website: cynergybpo.com
• E-mail: john@cynergybpo.com
• Phone: 866-201-3370

8. Damco

Damco provides data labeling services for AI and machine learning teams that need prepared training datasets across visual, text, and audio data. They handle tagging work for computer vision, natural language processing, and speech recognition, with a focus on helping models understand objects, categories, language elements, and transcribed audio.

Its data labeling service is built around accuracy, privacy, and the ability to scale resources when data needs change. Damco can manage the data tagging pipeline end to end, which is useful for companies that do not want to hire and train internal labelers for every dataset. The company also works with businesses across different industries, so its labeling work is not tied to one narrow use case.

Key Highlights:

• Provides data labeling for AI and machine learning datasets
• Covers computer vision, NLP, and speech recognition data
• Supports scalable data tagging when dataset volume changes
• Handles end-to-end data labeling workflows

Services:

• Data labeling for computer vision
• Image and video labeling
• Object categorization
• Data labeling for NLP
• Text tagging
• Audio transcription

Contact Information:

• Website: www.damcogroup.com
• E-mail: info@damcogroup.com
• Facebook: www.facebook.com/DamcoSolutions
• Twitter: x.com/damcosol
• LinkedIn: www.linkedin.com/company/damco-solutions
• Instagram: www.instagram.com/lifeatdamco
• Address: Office 1001, Level 10, Ibn Battuta Gate Offices, Jebel Ali Dubai, UAE
• Phone: +971 4 550 7833

9. Innowise

Innowise offers AI annotation and data labeling services as part of its wider data, AI, and software development work. The company turns raw data into structured datasets for model training, using annotation across text, images, audio, video, documents, and multimodal data. Since Innowise also works in AI development, data engineering, analytics, and data management, its annotation services sit close to the technical side of model building.

The process starts with discovery, then moves through data preparation, workflow setup, annotation, feedback, and final quality evaluation. That setup gives clients a clearer path from messy source data to a dataset that can be used for training. Innowise also includes regular checkpoints during the work, so annotation rules and output quality can be adjusted before the final delivery.

Key Highlights:

• Provides AI annotation across text, image, audio, video, document, and multimodal data
• Offers data preparation before labeling starts
• Builds custom labeling workflows based on dataset type and model goals
• Includes feedback checkpoints during the annotation process

Services:

• Image data annotation
• Text data annotation
• Audio data annotation
• Video data annotation
• Document data annotation
• Multimodal annotation

Contact Information:

• Website: innowise.com
• E-mail: contact@innowise.com
• Twitter: x.com/innowisegroup
• LinkedIn: www.linkedin.com/company/innowise-group
• Address: 405 Lexington Avenue, 26th Floor, New York, NY 10174 
• Phone: +1 (917) 267 7727

10. Sourcefit

Sourcefit supports AI and technology teams with outsourced data annotation and labeling operations. The company works with image, text, audio, video, sensor, and LiDAR data, helping teams structure and validate datasets for machine learning and automation.

Security and visibility are a major part of Sourcefit’s service structure. The company operates delivery environments with ISO 27001 and GDPR controls, along with other compliance measures listed across its operations. Annotation teams can work inside client tools and follow existing taxonomies.

Key Highlights:

• Provides outsourced AI data annotation and labeling operations
• Supports individual specialists and full project teams
• Works across client tools, taxonomies, and reporting formats
• Uses structured onboarding, annotation guidelines, and measurable quality checks
• Offers workflow management and regular performance reporting
• Operates delivery hubs across several countries

Services:

• Image and video annotation
• Object classification
• Tagging and segmentation
• Text and NLP labeling
• Entity tagging
• Intent recognition
• Content labeling

Contact Information:

• Website: sourcefit.com
• E-mail: contact@sourcefit.com
• Facebook: www.facebook.com/SourcefitPH
• Twitter: x.com/SourcefitPH
• LinkedIn: www.linkedin.com/company/sourcefitph
• Address: 19th Floor Exxa Tower, Bridgetowne IT Park, Ugong Norte, C5 Road Quezon City, Metro Manila 1110, Philippines
• Phone: +63 2 8470 2484

11. Data Entry Outsourced

Data Entry Outsourced provides data labeling services for AI and machine learning teams that need structured datasets across text, image, audio, video, LLM, RLHF, and sensor data. They work with enterprise AI programs that need labeling guidelines, pilot batches, validation layers, and reporting around the full dataset preparation process.

They use calibrated workflows, inter-annotator agreement scoring, multi-layer validation, and SLA-based delivery. Data Entry Outsourced also supports more advanced labeling needs such as point cloud labeling, LiDAR segmentation, prompt classification, response ranking, safety labeling, and conversational dataset preparation. For teams handling sensitive or regulated data, the company includes NDAs, role-based access, encrypted data transfer, secure environments, GDPR awareness, and controlled data retention policies.

Key Highlights:

• Covers text, image, audio, video, and spatial datasets
• Uses calibrated labeling guidelines and pilot batches
• Includes inter-annotator agreement scoring and multi-layer validation
• Supports enterprise dataset preparation with reporting and dashboards

Services:

• Text data labeling
• Named entity recognition
• Sentiment analysis
• Intent classification
• Image data labeling
• Segmentation

Contact Information:

• Website: www.dataentryoutsourced.com
• E-mail: info1@dataentryoutsourced.com
• Facebook: www.facebook.com/dataentryoutsourced
• Twitter: x.com/easydataentry
• LinkedIn: www.linkedin.com/company/data-entry-outsourced
• Address: 116 Village Blvd, Suite 220, Princeton, NJ 08540
• Phone: 866-405-2607

12. Infosearch

Infosearch delivers data labelling and annotation services for machine learning and AI training. The company handles image, text, audio, and video labelling, with annotators trained for specific tasks before the work begins. Its service also connects with wider BPO, data management, call centre, and annotation operations, so data labelling sits inside a larger outsourcing setup.

Infosearch works through the usual preparation stages: data collection, cleaning, labelling, splitting, model training support, evaluation, and deployment support. They covers detailed annotation services such as bounding boxes, polygon annotation, 3D cuboid annotation, semantic segmentation, image masking, keypoints, geospatial annotation, LiDAR, point cloud work, audio annotation, text annotation, and video annotation.

Key Highlights:

• Provides data labelling and annotation services for AI training
• Works with image, text, audio, and video datasets
• Trains annotators on task-specific labelling requirements

Services:

• Image labelling
• Text labelling
• Audio labelling
• Video labelling
• Bounding box annotation
• Polygon annotation
• 3D cuboid annotation

Contact Information:

• Website: www.infosearchbpo.com
• E-mail: enquiries@infosearchbpo.com
• Facebook: www.facebook.com/infosearchbpo
• Twitter: x.com/ibposervice
• LinkedIn: www.linkedin.com/company/infosearchbpo
• Instagram: www.instagram.com/infosearchbpo
• Address: No. 237, Peters Road, Gopalapuram, Chennai - 600 086, Tamilnadu, India
• Phone: +91 44 42925000

13. Sama

Sama provides human-verified annotation, validation, and model evaluation services for AI teams building production systems. They work across computer vision, NLP, multimodal AI, and sensor data, combining automation with human review. Its services are shaped around data workflows that match model architecture, quality targets, and production requirements.

Sama’s work includes annotation strategy, labeling guide creation, and ongoing calibration as datasets change. They also provide data validation to catch errors before they affect model training, plus model evaluation to check real-world performance. Its service areas include ADAS and autonomous vehicles, retail and e-commerce, agriculture and food, consumer tech and media, robotics, and manufacturing.

Key Highlights:

• Provides human-verified annotation, validation, and model evaluation
• Supports computer vision, NLP, multimodal AI, and sensor data
• Builds annotation guides around each dataset and model goal
• Uses ongoing calibration to keep labeling instructions consistent
• Operates as a Certified B Corporation with an impact sourcing model

Services:

• Data annotation
• Data validation
• Model evaluation
• Professional data services
• Computer vision annotation
• Multimodal annotation
• Sensor data annotation

Contact Information:

• Website: www.sama.com
• E-mail: contact@sama.com
• Facebook: www.facebook.com/samaartificialintelligence
• Twitter: x.com/SamaAI
• LinkedIn: www.linkedin.com/company/sama-ai
• Instagram: www.instagram.com/sama_ai_
• Address: 7236 Waverly St #306, Montreal, Quebec H2R 0C2 Canada

14. Mindy Support

Mindy Support offers data annotation services for AI and machine learning teams across image, text, audio, video, and 3D point cloud data. They build annotation teams for computer vision, LLM training, AI training data, data processing, data collection, quality assurance, and related support work. Its service range is fairly wide, covering everything from 2D bounding boxes and semantic segmentation to text categorization and speech recognition support.

For more technical datasets, Mindy Support handles video annotation, 3D cuboids, LiDAR-related work, and point cloud processing. The company also supports multilingual work in many languages, which fits its broader BPO and customer support background. Mindy Support serves industries such as automotive, robotics, agriculture, telecom, retail, e-commerce, SaaS, IT, sports annotation, medical data annotation, veterinary AI, geospatial data, and defense-related drone AI workflows.

Key Highlights:

• Provides data annotation teams for AI and ML workflows
• Covers image, text, audio, video, and 3D point cloud annotation
• Supports LLM training, AI training data, and quality assurance

Services:

• Image annotation
• 2D bounding boxes
• Polygon annotation
• Semantic segmentation
• Point and landmark annotation
• Text annotation

Contact Information:

• Website: mindy-support.com
• E-mail: hello@mindy-support.com
• Twitter: x.com/mindysupport
• LinkedIn: www.linkedin.com/company/mindy-support
• Instagram: www.instagram.com/mindy_support
• Address: Gr. Xenopoulou 17, 3106 Limassol, Cyprus
• Phone: +35799911691

15. AIPersonic

AIPersonic offers AI data labeling outsourcing services for teams working with machine learning datasets and LLM training models. The company works with several data formats, including text files, databases, spreadsheets, and mixed datasets. Its labeling work is built around keeping labels readable, consistent, and ready for use in AI training.

They also support prompt and response pair review, RLHF, and human validation for LLM work. AIPersonic uses automated quality control and machine learning-assisted labeling tools alongside human trainers. Its service can cover both smaller labeling needs and larger operations with high data volumes, including datasets connected to product records or structured business data.

Key Highlights:

• Provides AI data labeling outsourcing for machine learning and LLM training
• Works with text files, databases, spreadsheets, and mixed data
• Uses human validation with automated quality control
• Uses machine learning tools to support label consistency

Services:

• AI data labeling
• Machine learning data labeling
• LLM training data support
• Prompt and response pair validation
• RLHF support
• Text data sorting and labeling
• Database labeling

Contact Information:

• Website: aipersonic.com
• E-mail: info@aipersonic.com
• Facebook: www.facebook.com/people/Aipersonic/61575541671081
• Twitter: x.com/personic2098553
• LinkedIn: www.linkedin.com/company/aipersonic
• Instagram: www.instagram.com/aipersonic
• Phone: 507-564-4414 

16. Vivetic Group

Vivetic Group offers data labeling as part of its wider business process outsourcing, back-office, document digitization, and customer relationship services. They work with data processing needs connected to digitization and artificial intelligence, including object recognition, image classification, segmentation, annotation, and transcription.

Vivetic Group uses both human teams and automated solutions to process different types of business data. Vivetic Group can support image and video tagging, remote sensing image classification, image clipping, bounding boxes, handwritten document recognition, and document transcription.

Key Highlights:

• Provides data labeling through a BPO and document processing model
• Uses human teams alongside automated processing tools
• Works with image, video, document, and transcription data

Services:

• Data labeling
• Image classification
• Image segmentation
• Image and video tagging
• Object recognition
• Person recognition
• Action recognition

Contact Information:

• Website: www.vivetic-group.com
• E-mail: contact@vivetic-group.com 
• Facebook: www.facebook.com/ViveticGroup
• LinkedIn: www.linkedin.com/company/vivetic-group
• Address: 127 Rue Charles, Tillon 93300, Aubervilliers 

17. Clickworker

Clickworker provides data labeling services through a crowdsourcing model, using distributed workers to handle AI training data tasks across image, text, audio, and video. The company’s work covers common machine learning needs such as image classification, object detection, sentiment analysis, speech recognition, and content categorization.

The service includes image-focused labeling such as bounding boxes, image segmentation, tagging image elements, and marking facial points. Clickworker also supports text categorization, sentiment analysis, audio transcription, and video classification. Quality is handled through methods such as sample review, gold standard tasks, consensus checks, and comparison between human-labeled data and algorithm outputs.

Key Highlights:

• Provides data labeling through a global crowdsourcing model
• Uses microjobs for smaller labeling and tagging tasks
• Covers image, text, audio, and video datasets
• Matches workers to tasks based on language, region, or required knowledge

Services:

• Data labeling
• Image classification
• Object detection
• Bounding box annotation
• Image segmentation
• Image element tagging
• Face marking with points

Contact Information:

• Website: www.clickworker.com
• E-mail: info@clickworker.com
• LinkedIn: www.linkedin.com/company/clickworker
• Address: Büropark Bredeney, Theodor-Althoff-Str. 41, 45133 Essen, Germany
• Phone: +49 201 95971830 

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Conclusion

AI data labeling outsourcing companies can look similar at first glance, but the real difference usually shows up in the details. Some companies are built around large annotation teams. Others focus more on managed workflows, QA, niche data types, or human review for complex AI training tasks.

For teams comparing providers, it is worth looking beyond the service list. Image annotation, text labeling, audio transcription, video tagging, LiDAR work, and RLHF support all sound straightforward until the guidelines change, edge cases pile up, or the dataset gets much larger than expected. A good outsourcing partner should be able to handle that mess without turning every batch into a long correction cycle.

The right choice depends on the type of data, the level of review needed, security requirements, and how closely the labeling team needs to work with internal AI or product teams. For some companies, a flexible crowdsourcing model may be enough. For others, a dedicated team with clear QA, reporting, and long-term context will make more sense.

In the end, data labeling is not just a support task. It shapes how well an AI model learns, how often it needs rework, and how reliable the final system becomes. Choosing an outsourcing company carefully can save time later, especially when the goal is not just to label data, but to build datasets that can actually hold up in model training.

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