Good AI starts with good data. When the labels are solid - clear, consistent, and not drifting all over the place - the rest of the system tends to hold up. That’s where outsourcing plays a role. In the Philippines, data labeling isn’t treated like a quick side task - it’s part of the infrastructure. Teams here know how to build it out, keep it steady, and get results. From bounding boxes to feedback loops, they’ve done this before.

1. NeoWork

NeoWork provides AI data labeling outsourcing for the Philippines as part of our hands-on approach to AI training support. Our teams plug into real-world workflows to label data across image, text, and audio - not just once, but as part of a repeatable system built for production. Whether it's prepping training sets or refining evaluation data with human feedback, we help teams keep pipelines clean and consistent.

Each program is staffed by full-time teammates who stay assigned to a single client. Our 91% annualized retention rate reflects that commitment - and it shows in the day-to-day quality. Only 3.2% of candidates make it through our hiring process. Once in, they operate inside client tools with detailed runbooks, QA checkpoints, and naming rules that hold steady as volume shifts. We treat data labeling as operational work - steady, measurable, and always tuned for output.

Key Highlights:

• 91% annualized teammate retention rate
• 3.2% candidate selectivity rate
• Full-time labeling staff assigned to one client
• Runs inside client tools and workflows
• QA systems, benefits, and hardware support included
• 24-hour coverage aligned to US time zones

Services:

• AI data labeling outsourcing for the Philippines
• Structured pipelines for image, text, and audio labeling
• Evaluation set setup and maintenance
• Human-in-the-loop workflows for RLHF
• Full-process ops: runbooks, reporting, task management

Contact Information:

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

2. Digital Minds BPO

Digital Minds BPO runs image annotation teams out of the Philippines, built around pixel-level accuracy. This isn’t generic labeling - they focus on detailed work like polygons, keypoints, segmentation, and 3D bounding boxes. Teams are trained for industries where precision matters, like healthcare, automotive, or retail.

The process is structured to last. Onboarding covers tools, annotation rules, and the visual categories clients want labeled. Once things are live, teams run under stable conditions with dedicated staff - not rotating freelancers. Scale-ups are planned, not rushed. The goal is to feed visual data into model training without surprises or drop-offs.

Key Highlights:

• Image annotation teams based in the Philippines
• Support for bounding boxes, polygons, keypoints, and segmentation
• Staff trained on specific tools and image types
• Built for consistent output, not quick one-offs

Services:

• Image annotation (bounding boxes, polygons, key‑points)
• Semantic segmentation for vision‑model training
• Annotation across retail, automotive, healthcare image data
• Team staffing, training and quality control for image‑centric labeling operations

Contact Information:

• Website: digitalmindsbpo.com
• E-mail: contact@digitalmindsbpo.com
• Facebook: www.facebook.com/DigitalMindsBPO
• Twitter: x.com/digitalmindsbpo
• LinkedIn: www.linkedin.com/company/digital-minds-bpo-services-inc.
• Address: 3F Greenwood Magsaysay Building, Magsaysay Avenue, Naga City, Philippines
• Phone: +1 302 204 0045

3. BUNCH

BUNCH runs AI data labeling operations with an internal team model that prioritizes accuracy and structure. Each project is built around a layered setup - labelers, team leads, QA specialists, and project managers work in sync to keep outputs consistent.

Their quality assurance setup goes beyond basic reviews. QA scorecards, custom annotation guides, and double-pass audits are part of the process. When data complexity increases, BUNCH adjusts workflows, retrains staff, and refines guidelines to reduce noise and rework.

Key Highlights:

• Dedicated AI labeling teams
• QA built around scorecards, audits, and edge-case tracking
• Internal team structure with PMs and training loops
• Flexible models for full-time or contract-style work

Services:

• Annotation for CV, NLP, audio, and hybrid pipelines
• QA-first workflows and labeling playbooks
• Complex dataset handling and retraining
• Ongoing labeling support at scale

Contact Information:

• Website: www.meetbunch.com
• E-mail: sales@meetbunch.com
• LinkedIn: www.linkedin.com/company/meetbunch

4. Remotify

Remotify makes it easier to build full-time AI data labeling teams in the Philippines without setting up a local entity. Clients don’t deal with payroll, recruiting, or paperwork - Remotify handles that through its employer-of-record (EOR) model. It’s a good fit if you’re looking to run a long-term team but don’t want to get bogged down in admin.

The day-to-day looks simple on the client side. You define the labeling work - what kind of data, what the output should look like - and Remotify gets the right people in place. The teams can handle image, audio, text, and video datasets. Time zone, local law, compliance? Already handled.

Key Highlights:

• Full-time AI data labeling teams based in the Philippines
• EOR model covers hiring, payroll, onboarding, and legal stuff
• Clients manage the work without setting up local operations
• Designed for stable, ongoing annotation programs

Services:

• Hiring and setup of offshore data labeling teams
• Compliance with Philippine labor regulations
• Workforce onboarding, payroll, and benefits handling
• Support for client-managed labeling operations

Contact Information:

• Website: remotify.ph
• E-mail: hello@remotify.ph
• Facebook: www.facebook.com/remotify.ph
• LinkedIn: www.linkedin.com/company/remotifyph
• Instagram: www.instagram.com/Remotify.ph
• Address: Common Ground Level 10, IBP Tower, Jade Drive, Ortigas Center, Pasig City Metro Manila, Philippines 1605
• Phone: +63 919 004 5784

5. Innovature BPO

Innovature BPO runs data labeling programs out of the Philippines with a mix of manual work and automation. Their teams handle structured annotation across all the usual formats - images, audio, video, text - and use tools like bounding boxes, keypoint tagging, and segmentation depending on the job. On the NLP side, they’ve worked on things like sentiment labeling, named entity recognition, and multilingual speech datasets.

Quality control is baked into the workflow. Some checks are manual, some automated, but they’re always tracking for consistency. On top of that, they also handle basic data operations like enrichment, cleanup, or filtering out noisy inputs. It’s one setup that covers both annotation and the data prep that goes with it.

Key Highlights:

• Data labeling outsourcing from teams based in the Philippines
• Handles both manual and AI-assisted workflows
• Supports image, video, text, and multilingual audio tasks
• Built-in QA and structured annotation reviews

Services:

• Image and video annotation for computer vision models
• Text and sentiment labeling for NLP pipelines
• Audio tagging, transcription, and speech dataset preparation
• Data cleanup, validation, and enrichment
• Document entry, indexing, and database support

Contact Information:

• Website: innovatureinc.com
• E-mail: info@innovatureinc.com
• Facebook: www.facebook.com/innovaturevn
• Twitter: x.com/innovaturebpo
• LinkedIn: www.linkedin.com/company/innovature-consulting
• Address: 15R, Avenir Building, Archbishop Reyes Ave Lahug, Cebu City, Philippines
• Phone: +84 28 2221 5580

6. iSuporta

iSuporta runs AI data labeling projects using in-house teams based in the Philippines. Each team is set up with built-in QA processes, retraining cycles, and updates to labeling rules as the work evolves. The goal is to stay flexible while keeping quality locked in - even as task volume or complexity changes.

The labelers work across different inputs - video frames, product shelves, long text, sensor feeds. Tooling depends on the project. They use platforms like Labelbox, Deepen, or AWS depending on the use case. Clients get full visibility into how work moves, and teams can flex up or down as needed without losing grip on accuracy.

Key Highlights:

• Dedicated AI labeling teams located in the Philippines
• Tool-agnostic setup using platforms like AWS, Labelbox, Deepen
• QA, retraining, and logging built into the workflow
• Structured for volume shifts and project-specific needs

Services:

• Image, video, and text annotation for ML pipelines
• Audio transcription and document tagging
• Content categorization, intent tagging, and sentiment analysis
• Lidar, bounding box, polygon, and segmentation annotation
• Data cleanup, deduplication, and enrichment support

Contact Information:

• Website: www.isuporta.com
• E-mail: support@isuporta.com
• Facebook: www.facebook.com/iSuporta
• LinkedIn: www.linkedin.com/company/isuporta
• Address: Unit 901 The Insular Life Cebu Business Center, Mindanao Ave. corner Biliran Rd Cebu City 6000, Philippines
• Phone: +63 936-953-4952

7. YPC Virtual Team

YPC runs AI data labeling through remote team setups based out of the Philippines. Projects are staffed with annotators who focus on video, text, image, or audio depending on the task. Teams work inside the client’s systems, and there’s usually a success manager making sure things don’t drift off course.

It’s a structured flow. First, scope the work. Then, get the team onboarded, trained, and labeling. QA happens mid-stream, not just at the end. Some teams stick around for long-term work, others are built for short sprints. Either way, YPC handles the ops - hiring, managing, and keeping things on track - so clients can stay focused on the “what,” not the “how.”

Key Highlights:

• Data labeling teams run virtually out of the Philippines
• Easy to plug into existing client QA processes
• Covers image, audio, video, and NLP projects
• Scales up or down depending on project timelines

Services:

• Annotation services for computer vision, NLP, and healthcare AI
• Team setup, training, and platform onboarding
• Ongoing project coordination and success management
• Real-time labeling support and weekly feedback loops

Contact Information:

• Website: ypcvirtualteam.com
• E-mail: info@ypcvirtualteam.com

8. Outsource2India

Outsource2India handles AI data labeling as part of Flatworld Solutions, with work distributed across delivery centers including the Philippines. Teams support labeling for vision, NLP, and audio workflows. Tools like CVAT, SuperAnnotate, and SageMaker are in play, depending on what the client prefers. The goal is to make sure output stays consistent across edge cases and scale.

They’re set up to manage more complex labeling flows - classification, segmentation, entity tagging, object tracking - all structured into clean pipelines. Clients don’t have to handle setup or daily supervision. The Philippines delivery model brings time zone alignment and operational flexibility without needing to start from scratch.

Key Highlights:

• AI data labeling operations run in the Philippines under Flatworld
• Teams use tools like SageMaker, SuperAnnotate, and CVAT
• Focus on quality control and workflow repeatability
• Supports high-volume labeling across modalities

Services:

• Computer vision labeling (image, object, and segmentation)
• NLP support: sentiment tagging, named entities, classification
• Video and audio annotation for training multimodal models
• Team setup and annotation staffing

Contact Information:

• Website: www.outsource2india.com
• E-mail: info6@outsource2india.com
• Twitter: x.com/outsource2india
• LinkedIn: www.linkedin.com/company/outsource2india
• Address: 116 Village Blvd, Suite 200, Princeton, NJ 08540.
• Phone: 800-594-9501

9. Outsourced Staff

Outsourced Staff builds managed data labeling teams out of the Philippines so companies don’t have to juggle freelancers or spin up ops on their own. They take care of recruiting, contracts, payroll, and daily admin. Clients still call the shots on the work itself - what needs to be labeled, which tools to use, and how often feedback cycles should run.

Teams are split into specialized tracks - some handle CV pipelines like image tagging and tracking, others focus on text classification, speaker labels, or emotion detection. Most of the toolsets are familiar: Labelbox, Doccano, LightTag. Whatever the task, labeling runs like a team sport here, not a one-off gig.

Key Highlights:

• Managed AI data labeling teams based in the Philippines
• Full support for HR, payroll, and team coordination
• Clear functional roles across audio, visual, and text tasks
• Familiar with CV/NLP tools used in production pipelines

Services:

• Labeling teams for computer vision tasks
• Text classification and sentiment tagging
• Speaker diarization, audio transcription, emotion annotation
• On-demand team scaling and flexible contracts

Contact Information:

• Website: outsourcedstaff.com.au
• E-mail: info@outsourcedstaff.com.au
• Facebook: www.facebook.com/OutsourcedStaff.au
• LinkedIn: www.linkedin.com/company/outsourced-staff
• Instagram: www.instagram.com/outsourcedstaff.au
• Address: unit 13 161/163 S Creek Rd, Cromer NSW 2099
• Phone: 1300 455 600

10. Cynergy BPO

Cynergy BPO facilitates AI data labeling outsourcing in the Philippines by connecting enterprise clients with annotation providers. The focus is on helping companies find reliable partners who can support complex workflows across image, video, text, and audio data. Instead of managing labeling operations in-house, clients work through Cynergy’s advisory layer to scope requirements, align on data quality expectations, and deploy teams equipped for the task. 

The setup emphasizes domain familiarity, with annotation teams selected to match the context of each dataset. Cynergy supports this process by bridging operational gaps - especially in sectors where compliance, security, or high-volume turnaround matters. This model allows clients to maintain control over training pipelines while offloading the labor-heavy parts to specialists.

Key Highlights:

• Acts as a bridge for AI data labeling outsourcing in the Philippines
• Helps scope work and match clients to right-fit providers
• Focus on domains where context matters (like finance or healthcare)
• Support structure for longer-term, complex labeling projects

Services:

• Provider matchmaking for AI data annotation
• Guidance for labeling scope and output QA
• Workflow setup across multiple data types
• Ongoing advisory during project execution

Contact Information:

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

Conclusion

Outsourcing data labeling to the Philippines isn’t just about cutting costs or shifting work offsite. It’s about setting up a system that runs steady - where annotation becomes part of the training loop, not a one-and-done job.

The human layer still plays a big role. Someone has to make judgment calls, spot weird edge cases, keep labels from drifting. And when that work sits inside a clear workflow - with naming rules, QA checkpoints, and feedback loops - it sticks. You get data that’s not just labeled, but labeled right.

So yeah, the talent’s there. But the value shows up when you treat annotation like infrastructure. Not an afterthought. Not a patch. Just part of the machine that keeps your models useful.