Enhance accuracy with AI data annotation outsourcing
Sourcefit supports AI and technology teams with scalable data annotation and labeling operations designed for accuracy, security, and flexibility. Our experienced analysts help structure and validate image, text, and sensor data so you can accelerate model training and refinement without adding internal overhead.
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From raw data to intelligence
AI data annotation turns complex, unstructured datasets into model-ready inputs for machine learning and automation. High-quality labeling supports accuracy, speed, and reliability across every stage of model training.
Sourcefit builds scalable data operations with structured workflows, clear quality targets, and full project visibility. Our teams adapt to your platforms, taxonomies, and accuracy goals so data preparation stays consistent as volumes grow.
Reliable and transparent data annotation support
We provide flexible data annotation support that can scale from individual specialists to full project teams. Structured onboarding, clear annotation guidelines, and measurable quality checks ensure accuracy, throughput, and reliability. Client success managers and account oversight keep operations aligned and performance visible.
Our secure delivery centers and disciplined processes protect client data and intellectual property. With more than 15 years of outsourcing experience and delivery hubs in five countries, Sourcefit provides data annotation services that are scalable, cost-efficient, and trusted worldwide.
Built on a foundation of trust
Certifications and security standards
Sourcefit maintains globally recognized security and compliance frameworks to protect data integrity, privacy, and confidentiality across all client operations.
AI data annotation services we provide
Image and video annotation
Object classification, tagging, and segmentation for vision-based AI and autonomous applications
Text and NLP labeling
Entity tagging, intent recognition, and content labeling for natural language processing and LLM training
Audio and speech transcription
Audio segmentation and transcription services that support speech-to-text and conversational AI development
Sensor and LiDAR data processing
3D point cloud annotation and spatial mapping for robotics and mobility projects
Quality assurance and validation
Layered review processes that benchmark accuracy, consistency, and completeness
Workflow management and reporting
Structured reporting and performance tracking to ensure visibility and smooth communication
Recipient of Gold Stevie®
Award for HR Innovation
Recognized for excellence
Recipient of the Gold Stevie® Award for HR Innovation
Listed in the OA500 Global Outsourcing Index 2025
Named as a Philippine Daily Inquirer Growth Champion 2024
Certified™ Great Place to Work®
Why companies choose Sourcefit for data annotation
Proven operational experience
Over 15 years supporting data, technology, and customer operations for global clients.
Flexible and transparent delivery model
Cost-plus structure with no setup fees and full project visibility.
Structured quality assurance
Multi-layered QA ensures accuracy and consistency across datasets.
Secure and compliant operations
Certified facilities and strict data governance standards ensure safe handling of sensitive data.
Scalable, tool-agnostic support
Teams work across client platforms, adapting to existing tools, taxonomies, and reporting formats.
AI data annotation outsourcing pricing
Position requirement
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Entry level
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Mid level
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Expert level
Entry level
Outsourcing
*monthly
- 1,000 USD
- 1,355 USD
- 1,710 USD
Rates vary based on data type, annotation complexity, and project volume. Sourcefit’s cost-plus billing ensures transparency and predictable costs across production cycles.
FAQs
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What types of data annotation tasks can Sourcefit support?
We support image, video, text, audio, and sensor data annotation with clear guidelines and structured QA. Our teams handle classification, tagging, transcription, segmentation, and dataset validation for AI and machine learning workflows.
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Can Sourcefit work inside our existing annotation tools and pipelines?
Yes. We adapt to your labeling platforms, taxonomies, and workflow standards so annotation work remains consistent with your existing development environment. No tool migration or system overhaul is required.
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How does Sourcefit ensure accuracy for labeled datasets?
We use multi layer QA checks, defined accuracy benchmarks, and reviewer guidelines aligned with your model requirements. This approach keeps datasets consistent, traceable, and ready for training or fine tuning.
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How quickly can Sourcefit ramp up an annotation team?
Most teams can be assembled and onboarded within standard Sourcefit recruitment timelines for data operations. We align on scopes, labeling rules, and performance metrics before production begins.
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How does Sourcefit protect sensitive or proprietary training data?
Annotation and QA work is delivered through ISO 27001, ISO 27701, GDPR, PCI DSS, and SOC 2 certified facilities with strict access controls. These environments are designed to keep training data and intellectual property secure.
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Can annotation teams scale as model requirements grow?
Yes. You can add annotation specialists or QA reviewers as dataset size increases or new data types are introduced. Our cost plus model supports predictable scaling across production cycles.
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Do you support multilingual text or audio labeling projects?
Yes. With delivery teams across the Philippines, South Africa, the Dominican Republic, Madagascar, and Armenia, we support multi language text labeling, transcription, and audio QA.