AI Data Training Outsourcing Services

Scale high-quality labeled data for Computer Vision, NLP, and LLM applications with a secure, human-in-the-loop workflow. From guideline design to QA and delivery, we help you ship reliable datasets faster—without sacrificing accuracy or compliance.

01. Dataset Strategy & Labeling Guidelines
02. Scalable Annotation Workforce + Multi-layer QA
03. Secure Delivery, Compliance, and Continuous Improvement

Dealing with obstacles

In the insurance industry, there are several significant barriers and challenges that impact the development and performance of insurance companies. Simplifying and streamlining workflow processes is how Innotech move forward to eliminate barriers and challenges in the insurance industry

Over Complexity

Insurance companies often focus too much on the details of serving policyholders, leading to an overly complex image in the eyes of customers. Insurance brands may lose sight of the goal of creating a positive impression on potential new customers.

Outdated Experiences

Digital tools used by insurance companies need to be designed to help brokers, agents, and policyholders efficiently complete tasks. If these tools are outdated or not aligned with the brand and business, they can cause frustration for users.

Disconnected Content

An insurance company's website should provide relevant and helpful information to brokers, potential customers, and policyholders. If the website's content is disconnected or fails to answer their questions, it can lead to dissatisfaction.

Stakeholder Inertia

Insurance companies may be limited by software development or design resources, and their brightest employees may be frustrated by their inability to leverage user feedback, pursue ideas, or enhance customer experiences.

Take a Step Towards Reliable, Scalable AI

Many AI initiatives fail not because of weak models, but due to poor-quality training data. By investing in structured AI data training and annotation processes, enterprises can significantly improve model performance and accelerate AI adoption. Innotech helps you build a solid data foundation to:

- Train more accurate and reliable AI models

- Reduce development time and operational costs

- Scale AI systems confidently from PoC to production

Moving forward

With Innotech, you acquire a trusted AI outsourcing partner well-versed in the complexities of AI data training and annotation. We understand your AI initiatives, champion your business objectives, and streamline data workflows. You are the authority in your domain, and we help enhance your AI model performance with high-quality, human-validated training data.
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AI Data Annotation for Machine Learning

At Innotech, our dedicated teams specialize in understanding the unique challenges of large-scale AI data annotation. We support machine learning projects by delivering accurate, consistent, and model-ready datasets across text, image, audio, and video formats.

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NLP & Language Data Training

We provide structured language data training services, including text classification, intent labeling, sentiment analysis, and named entity recognition. Our workflows ensure linguistic accuracy and domain relevance for NLP models and LLM fine-tuning.

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Computer Vision Data Labeling

Our computer vision annotation services cover object detection, image segmentation, and video labeling. We apply clear guidelines and multi-layer quality checks to deliver reliable training data for visual AI systems.

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Human-in-the-Loop Quality Assurance

We integrate human-in-the-loop validation into every stage of the data training lifecycle. This approach helps reduce noise, bias, and inconsistencies, resulting in higher-quality datasets and improved AI performance.

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Scalable AI Data Operations

Our outsourcing model enables flexible scaling of data annotation teams as your AI initiatives grow. We support projects from proof-of-concept to full production with consistent quality and delivery.

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Ongoing Data Support & Model Improvement

Beyond initial delivery, we provide continuous data support for dataset expansion, re-labeling, and retraining. This ensures your AI models remain accurate, adaptive, and aligned with evolving business needs.

Join forces with Innotech

Make an intelligent investment

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Collaborating with Innotech represents an investment in innovation. We assist you in comprehending the balance between risk and reward while crafting a digital strategy that provides genuine value to potential borrowers, financial advisor partners, and internal teams. Successful engagements include:

- Direct access to an empowered project champion and any of your development resources

- Tailored engagements across our Discover, Envision, Build services

- Investments of $200k to $1M, starting with a Discover phase of 10 to 20% of total budget

Our journey thus far

And our clients rely on us to continue delivering for them.

200+ project

completed

150+ employee

around the globe

4 offices

in USA & Vietnam

12 years

of establish

Client Success Stories

MANULIFE - InsurTech Solutions Case Study

Learn more

Let’s Innovate Together







 

FAQs about AI data training outsourcing

  • We apply strict data security measures throughout the entire data training lifecycle, including NDA enforcement, controlled access environments, and role-based permissions. All data is handled according to agreed security policies to ensure confidentiality, integrity, and compliance with client requirements.

  • Our offshore delivery model is designed to work efficiently across time zones. We establish clear communication windows, dedicated project managers, and transparent reporting to ensure smooth collaboration and on-time delivery for global clients.

  • We combine trained annotation teams, structured workflows, and multi-layer quality assurance. Our human-in-the-loop approach ensures high annotation accuracy, domain understanding, and data consistency—resulting in better-performing AI models.

  • We work closely with your AI and product teams to understand model goals, use cases, and success metrics. Annotation guidelines, validation rules, and review processes are tailored to ensure the delivered datasets directly support your business and AI objectives.

  • Yes. We provide long-term data training support, including dataset expansion, re-labeling, quality improvement, and continuous human-in-the-loop feedback to support model retraining and optimization.

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