Head of Research
Alldus
New York · Posted July 16, 2026
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How AI is used in this kind of work
AI use among social scientists and related workers, all other is little observed so far. Measured exposure for social scientists and related workers, all other: 3% (little observed).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
Our client, an innovative AI and Data company, is hiring a Head of Research to join the team in New York. The successful candidate will transform unique consumer-generated data streams into a gold standard for AI training and evaluation by shaping the company’s research strategy, collaborating directly with leading AI labs, and establishing the organization as a recognised authority in audio data research and evaluation science.
Responsibilities
Define and drive the company’s AI research strategy, focusing on data evaluation, AI oversight and generative AI innovation.
Develop strategic partnerships with leading AI research labs, academic institutions and industry experts.
Build AI-assisted evaluation frameworks to measure, validate, and enhance audio and multimodal datasets.
Translate emerging AI research advancements into scalable data solutions and production-ready capabilities.
Position the organization as a recognized leader in audio AI, speech intelligence and AI evaluation science.
Design and execute rigorous machine learning experiments, benchmarks and evaluation methodologies to support next-generation AI models.
Represent the company across the global AI research ecosystem, building relationships with researchers, partners and technical communities.
Collaborate with product and engineering teams to define AI data strategies, research priorities and innovation roadmaps.
Skillset
Proven track record of impactful AI/ML research focused on data evaluation, generative AI or AI oversight.
Deep expertise in audio, speech or multimodal AI systems, with strong understanding of emerging research trends.
Experience working with frontier AI models, training pipelines and evaluation frameworks.
Strong knowledge of AI evaluation methodologies, benchmarking and AI-assisted evaluation approaches.
Experience designing and executing rigorous machine learning experiments using Python and PyTorch.
Ability to translate complex AI research concepts into scalable, production-ready data solutions.
Strong understanding of data quality, dataset development and evaluation strategies for AI model improvement.
Proven ability to build relationships with leading AI researchers, technical partners and industry stakeholders.
Strong communication skills with the ability to represent research concepts and technical insights to diverse audiences.
Founder mindset with the ability to operate independently, drive innovation and deliver impact in a fast-moving environment.
Benefits
Salary: $250k - $300k
Comprehensive benefits package.