Director of AI Data Engineering

Blue Signal Search; United States; Remote; USD 180,000 - 260,000; Full time

Benefits offered by this job

Remote-friendly

Job summary

Blue Signal Search seeks a Director of AI Data Engineering to lead the data infrastructure powering speech recognition, NLP, and TTS initiatives. You will shape scalable data platforms, multilingual training data strategies, and end-to-end pipelines for speech and language AI research.

The role combines technical leadership with strategic governance, guiding data collection, annotation, and collaboration with researchers to accelerate model development and production readiness.

Qualifications

• 10+ years of experience developing or leading data infrastructure for ML research or large-scale training environments.
• Proven experience leading engineering teams including managers or senior individual contributors.
• Direct experience with speech/audio datasets, corpus design, annotation workflows, and dataset evaluation.

Responsibilities

• Lead the architecture and evolution of scalable data engineering platforms for NLP, speech recognition, and TTS applications.
• Direct development of data pipelines for collecting, processing, transforming, and delivering large volumes of speech and language data.
• Oversee multilingual dataset sourcing, annotation operations, and external data partnerships.
• Collaborate with AI researchers to optimize audio data preparation and model training workflows.
• Establish standards for multilingual speech datasets including coverage and transcription accuracy.
• Mentor engineering managers and senior contributors responsible for data infrastructure and methods.
• Implement dataset versioning, lineage, and governance for reproducibility and production readiness.

Skills

Data architecture

AI/ML data pipelines

Leadership

Strategic planning

Cross-functional collaboration

Multilingual datasets

Dataset governance

Job description

Location: Remote, Nationwide (United States)

Our client, an innovative organization advancing the next generation of artificial intelligence and intelligent voice technologies, is seeking a Director of AI Data Engineering to lead the development of sophisticated data ecosystems powering speech recognition, natural language processing (NLP), and text-to-speech technologies. This is an exciting opportunity to shape the infrastructure behind next-generation voice AI, building the data pipelines, multilingual training datasets, and scalable engineering capabilities that enable AI models to understand and generate natural human speech. The ideal candidate will combine deep technical expertise in speech and audio data with strategic engineering leadership to accelerate AI research and innovation.

This Role Offers:

• Opportunity to lead high-impact engineering initiatives at the intersection of AI, speech recognition, and natural language technologies.
• Strategic ownership of data infrastructure supporting sophisticated voice AI and machine learning research.
• Meaningful influence over technical architecture, training data strategies, and engineering investments.
• Exposure to complex challenges involving multilingual speech processing, audio data quality, and large-scale AI model development.

Focus:

• Lead the architecture and evolution of scalable data engineering platforms supporting NLP, speech recognition, text-to-speech applications, and AI model training.
• Direct the development of sophisticated data pipelines for collecting, processing, transforming, and delivering large volumes of speech, audio, and language training data.
• Oversee training data acquisition strategies, including speech corpus development, multilingual dataset sourcing, annotation operations, and external data partnerships.
• Collaborate with AI researchers and speech technology specialists to optimize audio data preparation, speech synthesis training datasets, and model training effectiveness.
• Establish standards for multilingual speech datasets, including language coverage, transcription accuracy, annotation consistency, and data quality measurement.
• Lead and mentor engineering managers and senior technical contributors responsible for research data infrastructure, pipeline development, and data operations.
• Implement scalable frameworks for dataset versioning, lineage, reproducibility, and governance to support reliable model experimentation and production readiness.
• Partner with machine learning and NLP research teams to anticipate evolving training data requirements, improve data accessibility, and accelerate model development.

Skill Set:

• 10+ years of experience developing or leading data infrastructure supporting machine learning research, AI model development, or large-scale training environments.
• Proven experience leading technical engineering organizations, including managers or senior individual contributors supporting AI research and data platform initiatives.
• Direct experience with speech and audio datasets, including corpus design, annotation workflows, transcription quality, and quantitative dataset evaluation.
• Strong understanding of NLP, speech-to-text technologies, automatic speech recognition (ASR), and text-to-speech (TTS) technologies as they relate to AI training data.
• Demonstrated experience designing and scaling data pipelines for audio processing, multilingual datasets, training data ingestion, and machine learning workflows.
• Experience directing training data acquisition, multilingual speech collection, external annotation partners, and data quality improvement initiatives.
• Production experience owning dataset versioning, reproducibility, lineage, or governance processes supporting machine learning experimentation.
• Strong technical leadership, communication, and strategic planning skills, with the ability to align engineering teams and research stakeholders around complex AI development priorities.