
Speech Recognition
Language Experts for Automotive Industry
We have provided hundreds of Natural Language Developers, Language Experts, and Native Speakers to one of the world’s largest automotive AI companies.
Scope:
- Sourced and managed 300+ global language specialists for a variety of language support tasks.
- Hired language specialists tasked with developing and improving AI algorithms by programming and testing with native speakers, verifying language patterns, performing translations, and adjusting content to align with end clients’ expectations.
Results:
- Sourced and managed 300+ global language specialists for a variety of language support tasks.
- Hired language specialists tasked with developing and improving AI algorithms by programming and testing with native speakers, verifying language patterns, performing translations, and adjusting content to align with end clients’ expectations.

Speech Recognition and Audio Collections (Mini Case Studies)
Utterance Generation
The contextual phrase development included multiple countries, each with numerous domains and sub-domains. The project collected a significant number of utterances (including annotation and transcription) within a specific timeframe.
Public Domain Data Collection and Transcription
Crawled and processed (including segmentation, time stamping, and transcription) a large amount of public domain speech data across many languages within a specific timeframe.
Secure Speech-to-Text Transcription
Provided speech-to-text transcription in multiple languages within our secure data center. Trained linguists received comprehensive security training.
Children Speech Data Collection
Collected a large amount of children’s speech within a specific timeframe in several languages and with different accents. The participants’ age ranged from 7 to 12.
Ambient Data Collection
Collected ambient background noise data across a wide variety of locations from parks, stadiums, airports, aircrafts, bars, to private homes and vehicles, to further develop and test the client’s product.

Ads Relevance Evolution
A major player in Ads Relevance made the decision at the portfolio level to migrate from a managed services approach to integrating crowd data and expert-level resources.
Scope:
- Ensured cost savings and raised quality (vs managed services).
- Helped create considerable tangible business value, as LLM development was a central part of the new approach.
- Provided expert-level human relevance teams and integrated them into the process to provide a necessary additional perspective on each data set.
- Scaled in language and markets.
Results:
- Partnered, refined, and delivered unique and growing scope over several years.
- Developed, refined, and iterated our solutions in quality, mitigation, and scalability.
Data Annotation
Expert Pool (Health, Finance & Accessibility)
For many years, we have provided hundreds of specialized resources globally for different tasks (such as Health) and have expanded initiatives to provide specialties for Finance and Accessibility. Global experts have included Doctors, Nutritionists, Fitness Experts, Medical Translators, Chartered Financial Analysts (CFA), Certified Financial Planners (CFP), and Certified Accessibility Testers answering user-generated questions, creating multimedia content (health videos), reviewing answers from generative AI (financial experts) to web and mobile application accessibility testing.
Scope:
- Sourced and managed a large number of global health professionals for a variety of health and wellness initiatives. Our hired health experts were tasked with answering a variety of user-generated health questions, creating articles, multimedia content for health and wellness, and translating English medical content across several languages on multiple platforms.
Results:
- Project was delivered on time, which helped the client improve and diversify their health and patient experience while reaching more refined accessibility features.


Localized Crowd QA
We have worked with several large US tech companies on data collection of sensitive and offensive online content. We have expanded the work to include multiple ontology classes (Threat/Profanity/Harassment/Sexual Harassment/Discrimination) across numerous languages.
Scope:
- Native speakers with linguistic training collect organic data from social media.
- Each language sample is evaluated and approved.
- Organic samples are modified to collection criteria, while the core meaning is preserved.
- Linguist-generated samples to provide greater sensitive content variety.
- Samples must pass a high level of Quality Control to ensure accuracy, relevance, and variety of sources and content represented.
- We provided skilled native linguists to collect and evaluate the data employing in-depth knowledge of cultural context and linguistic awareness. Close collaboration with client teams ensured thorough understanding of collection requirements and the highest level of quality for delivered data.
Results:
We provided skilled native linguists to collect and evaluate the data employing in-depth knowledge of cultural context and linguistic awareness. Close collaboration with client teams ensured thorough understanding of collection requirements and the highest level of quality for delivered data.
Text To Speech Voice Development
We partnered with our client to develop high-quality text-to-speech (TTS) voices for several underrepresented, niche languages.
Scope:
- Recruited and trained a team of native speakers and language experts. These specialists created comprehensive scripts and audio recordings in both onsite and remote recording studios to enable the development of accurate TTS voices for languages with limited existing data.
Generated high-quality scripts and audio recordings in the target languages. Identified cultural and language-specific nuances previously unknown to the client, thus strengthening the project approach and final outputs. The deliverables were used to train the client’s TTS models, allowing them to understand and accurately reproduce speech in these underrepresented languages.


Local Data Collection - Custom Studio Warehouse
AIDI conducted local small and large-scale continuous in-person collections using custom-designed recording studios for motion capture, audio, video, and data annotation projects. The project involved recruiting participants from niche demographics for multi-hour data collection sessions.
Scope:
- Provided participants with Prescreening and Initial Interview (PPI) filtering.
- Trained expert Research Assistants to facilitate data collections.
- Offered project management support for organizing cross-functional teams.
- Reported daily metrics.
- Implemented real-time hot-fixes and flexible study formatting.
Results:
- Successfully collected over 4000 unique datasets.
- Managed over 20 different data collection formats and prototype testing.