AI Data Services: Faster Time-to-Market, Data Scaling, Reduced Risk and Bias

Get support for prompts, data collection, data labelling, data validation, and beyond.

Build, Label, and Test Data That Performs

Services powered by a diverse, global community and proven technology.

Support your data scaling initiatives with Lionbridge’s cutting-edge technology and community of more than half a million diverse, global experts.

We use our operational framework, structured workflows, standardized methodologies, and dedicated oversight to ensure consistent execution, quality control, and timely delivery across complex AI and localization programs.

Lionbridge combines expert oversight, rigorous QA processes, and human-in-the-loop review to consistently deliver data and insights that meet enterprise-grade accuracy and performance standards.

Lionbridge’s AI Data Solutions

Keys for Successful AI Model Training and Implementation

Data Annotation

Labeling or categorizing data to help an AI model better understand it. Data annotation is fundamental for ensuring AI models can make predictions based on annotated data. The quality and accuracy of data annotation significantly influence AI model training and, thus, performance. Services include:

Content Classification
Image or Video Annotation
Named Entity Recognition

Data Collection

Aggregation of relevant, high-quality data to train and test AI models. Data can be in various formats and comes from sources, including databases, social media, sensors, user interactions, text, images, audio, and video. Collecting diverse and representative data ensures your AI system understands and responds accurately to a wide range of inputs. This makes it more efficient and effective. Services include:

Audio Dataset
Video Datasets
Text Datasets
Transcription
Taxonomy Development
Intent Utterance Creation
Text-to-speech and speech-to-text

Workforce Management

Optimize your capacity and time with our workforce management solutions. Whether you need a work-from-home base or secure location, Lionbridge offers the resources, management, and data you can depend on. Services include:

AI product testing
Secure facilities
Computational linguistics
Data & ML engineering
Global community resourcing
Subject matter speculation

Output Validation

Ensures the results generated by AI models and LLMs are accurate, relevant, and culturally appropriate. We thoroughly review AI responses to validate alignment with goals and required standards. Validation enhances overall quality, and makes AI systems more reliable, effective, and trustworthy for your users. Services include:

Intent development and review
Model output validation and ranking
Diversity and inclusion testing
Output fact and relevance testing
Search, product, and ad relevance
Cultural enhancements
Geolocation validation and relevance

Development Support

Creation and refinement of an AI model’s ability to understand, generate, and manipulate language. Fine-tuning the LLM to enhance performance, inclusivity, accuracy, and relevance. It requires expertise in natural language processing and data engineering. Services include:

Multilingual prompt engineering
Retrieval-Augmented Generation (RAG) pattern support
Diversity and inclusion testing
Local market optimization
Model review and assessment
Output fact and relevance-checking

Discover Lionbridge Aurora AI Studio™

A cutting-edge platform for training data sets and enabling AI solutions and applications.

Drive unlimited global engagement with your content, apps, websites, and more. Take advantage of rich, on-demand analytics for project status, recruiting, and task-creation customizability. Effortlessly access:

Web-based project management/creation tools
Managed, end-to-end AI training solutions
An expansive, worldwide network of half a million seasoned testers, reviewers, and linguists, built over the course of Lionbridge’s 25+ years in the language services industry

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Customer Case Studies: See the Power of Lionbridge AI

AI Data Services: Smart Reply Data Collection

A smartphone manufacturer wanted to improve their suggested ‘quick-reply’ options on their device messaging apps. This project required their AI to better comprehend human conversation’s natural and most likely flow. The project necessitated large amounts of data collection of ‘real-life’ conversation examples across multiple languages.

Our platform was perfectly suited to this task, capturing over 200,000 dialogues, each up to 20 messages long with up to five participants per conversation. Tasks were staggered across eight core languages. All conversation data was collected and delivered within four weeks.

AI Data Services: Voice Emotion Data Collection

A VR company that developed safe and monitored metaverse experiences wanted to train its AI to better understand emotional cues from a variety of human voice samples across multiple languages and dialects.

Speakers recorded over 600,000 sentences in specific emotions (angry, sad, happy, etc.). Speakers were selected based on their fluency in each required language. All recordings were captured and delivered on our platform. Bulk export options were available to instantly and easily access audio files immediately upon submission by each speaker.

AI Data Services: Prompt Response Review

Our platform launched an LLM training project to review high volumes of prompts with a multiple-choice selection of possible responses. Human reviewers selected the best response to the prompt, then rated that response on several factors, including:

Accuracy
Formatting
Grammar
Linguistics

The reviewers recommended corrections or improvements as required. We utilized over 5,000 human reviewers for this project, providing the LLM with extensive learning data required across multiple languages.

Content Generation: Video Translation & Review

An online video service provider required large-scale, fast video translations from multiple languages to English. This expedited translation would enable their content moderators to better understand content and make better-informed decisions about potential policy violations. Additionally, translators flagged content containing vulgar, offensive, hateful, racist, or abusive material.

Most videos were fully translated and reviewed within 2-3 days of submission. The quick turnaround helped the customer successfully and quickly moderate their platform’s content.

Content Review: Subtitle Transcription QA

An eLearning solutions provider used the platform to review over 300 machine-transcribed videos. They checked and flagged quality issues, such as:

Subtitle sentence structure
Spelling/grammar issues
Overall translation accuracy

Reviewers amended AI-transcribed subtitles where necessary, flagging any missing or seriously incorrect content. This project was completed five days after submission, providing the customer with highly accurate video transcriptions.

Responsible AI

Lionbridge is dedicated to using artificial intelligence ethically, fairly, and respectfully. We’re committed to ensuring our AI-powered solutions benefit society and never cause or promote harm and discrimination.

Here’s how Lionbridge can help you use AI responsibly.

Via Diversity

LLM performance is a direct reflection of its AI training data. With our exceptionally diverse community of testers and experts, Lionbridge helps ensure your AI output reflects a rich, global, and inclusive perspective. Beyond linguistic and subject matter expertise, they also bring a deep understanding of cultural nuances.

Via Localization

LLMs often perform less effectively for non-English content. Our localization service examines the performance of your AI tools before they are launched in other countries to enhance the quality of your content and improve its effectiveness and accessibility for your global customers.

We offer basic prompt engineering services, including source analysis, localization, and editing prompts and conversations for local language testing, response evaluation and validation, back translation, and contextual information.

We promote responsible AI by identifying profanity, incorporating inclusive terminology, and adhering to gender-neutral and inclusive style guides that align with the sentiments and standards accepted by the target regions.

Via Content Creation

Cultures differ significantly in what’s considered sensitive. It may be acceptable to poke fun at something in one region, while it’s off-limits in another. AI applications’ behavior must reflect local sensibilities. Our content creation service provides general local market guidelines and creates locally specific datasets for engine testing and fine-tuning.

We conduct research and cultural consultancy on sensitive topics and local values, prompt creation for a specified subject, conversational authoring, and data collection.

We promote responsible AI by addressing sensitive topics, laws, and regulations, modeling responses related to Personally Identifiable Information (PII), providing advice, opinions, and inclusivity, and mitigating stereotypes and views about identity groups.

Via Crowdsourced Evaluations

We use our global community to gather insight, annotate, and classify text, prompts, audio, video, and images, primarily through our crowd tester platform. Crowdsourcing is highly scalable and efficient, ideal for assessing large volumes of content.

We gather feedback on local topics, evaluate responses, and classify responses appropriately.

We promote responsible AI by leveraging diverse perspectives that mitigate bias in our evaluation as the community assesses fairness, classifies intent/sentiment, and detects hallucinations (any material the AI made up).

Via Testing in a Live Environment

In some cases, where the test environment is available and already set up, it makes sense to use a more traditional, live environment testing method.

Spontaneous testing services involve real-time, unscripted iterations with the AI systems, mimicking user engagement.

Scenario-based testing services use predefined scripts and scenarios to evaluate AI responses under controlled conditions. It is typically aligned with technical concerns rather than ethical or fairness concerns.

We ask testers to enter specific prompts or create prompts knowing the goal, or we ask them to break the product.

We promote responsible AI during spontaneous testing through scenarios that challenge ethical decision-making, the participation of different demographics, and the collection of user experience feedback, including feelings of exclusion, threat, or objectification.

Via Diversity
Via Localization
Via Content Creation
Via Crowdsourced Evaluations
Via Testing in a Live Environment

Lionbridge’s AI Data Services Thought Leadership

Responsible AI via Crowdsourcing and Equitable AI Training Data Services

Understand why crowdsourcing is crucial for fair, equitable AI training and, ultimately, socially responsible AI usage.

3 Risks of Skipping AI Training and AI Data Services

Uncover the three main risks of skipping AI data services. These are the problems you may encounter if you train your own LLM without AI expertise.

3 Key Reasons Companies Need AI Training and Data Services

Discover the three key benefits of AI data services to help any business in any vertical gain a competitive advantage.

AI Data Services and Responsible AI

Uncover the risks of not ensuring responsible AI usage with your LLM and discover steps to prevent biased and intolerant content.

Critical AI Data Services: Search Relevance

Discover why your brand needs to prioritize search relevance among its AI data services to attract and keep customers worldwide.

AI Data Services by Lionbridge

Discover how Lionbridge’s AI data services assist with big AI development and AI training challenges, including scaling, user trust, etc.

AI Data Services FAQs

These are the answers to questions our customers frequently ask.

The prevalence of LLMs makes our AI data services appropriate for any enterprise that desires to leverage LLM technology but needs help conducting training. For more than 20+ years, some of the world’s technology leaders have outsourced their training data initiatives to us. In addition to working with these global giants, we help smaller AI companies that are building AI end-user applications, those requiring AI fine-tuning to adapt the model to a specific task or domain, or those needing evaluation through human feedback.

You’ll gain increased accuracy, relevance of your LLM output, and confidence that the output will be responsible.

—Chatbot training to ensure the AI doesn’t respond with offensive content.

—Multilingual output evaluation to learn whether your app works in a multilingual context.

—Model performance testing to determine which model to use, including for localization work.

Yes. We offer multimodal training services (text, audio, images, and videos).

Yes, it’s critical to continuously incorporate human feedback from users and testers into the LLM to ensure high-quality output of generated content. Ongoing training will help your AI adapt to language trends and cultural nuances, ensuring output remains effective and relevant over time.

These services mitigate business risks by ensuring your AI consistently produces output reflecting your company’s brand voice and values without costly post-editing. In addition to enhancing cost efficiency, quality output from a properly trained AI can engender customer trust and loyalty, further securing your business.

Lionbridge uniquely combines AI expertise, a human-in-the-loop, and a global presence to provide training data services at scale. Our crowdsourcing platform enables us to reach any demographic in virtually any region. Our linguists and subject matter experts are well-suited to conduct language-based annotation for text and images. Further, localization QA processes are comparable to AI training QA procedures.

Lionbridge offers a rare combination of AI experience, linguistic experience, and global presence. Not all Language Service Providers (LSPs) have the AI expertise to provide best practices for AI testing, even if they provide these services. AI companies that offer testing services do not typically have the linguistic knowledge or global presence we have, which can be especially problematic for companies seeking to use AI for lower-resourced languages. Furthermore, we are an AI-powered organization, fully embracing AI solutions internally. We have the latest version of AI in the GPT family, which we securely maintain behind a firewall. With a directive to incorporate AI into our workflow, we’re changing how we work to deliver value for our customers.

We recognize that prolonged exposure to sensitive or harmful content can result in elevated stress, anxiety, and other mental health concerns. As such, we have developed a comprehensive wellness program specifically for these individuals. The program provides 24/7 confidential psychological support and other measures to promote well-being.

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