Top Tech Jobs & Startup Jobs in Charlotte, NC

Build scalable data pipelines and processing systems for AI model training. Responsibilities include discovering audio data sources, improving dataset quality and processing efficiency, operating production systems, and collaborating with AI scientists. The role requires strong backend software engineering skills, Python and Bash proficiency, and the ability to independently own projects from discovery through continuous improvement.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering audio data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, optimizing data-processing systems for quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build and operate large-scale data pipelines for AI training datasets, including discovering audio sources, processing data efficiently, optimizing quality and cost, and collaborating with AI scientists. Own engineering projects from discovery through implementation and continuous improvement. The role requires strong backend software engineering, production systems experience, Python and Bash proficiency, and independent problem-solving in ambiguous environments.

Build and operate large-scale pipelines for audio training data, discovering new data sources and optimizing processing for quality, throughput, and cost. Collaborate with AI scientists to improve datasets and support next-generation models. Own engineering projects from discovery through implementation and continuous improvement. The role requires strong backend software engineering, production systems experience, Python, Bash, and Linux proficiency, with cloud, Terraform, web crawling, and audio-processing experience beneficial.

Build and operate large-scale data pipelines for AI model training, including discovering audio data sources, optimizing data processing for quality, throughput, and cost, and collaborating with AI scientists. The role owns engineering projects from discovery through continuous improvement and requires strong backend software engineering, production systems, and independent problem-solving skills.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, developing reliable data-processing systems, optimizing data quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement.

Build scalable, reliable pipelines for acquiring and processing large-scale audio datasets used to train AI models. Improve data quality, throughput, and cost; collaborate with AI scientists; explore new data sources; and own engineering projects from discovery through continuous improvement.

Build and operate large-scale audio data pipelines for AI model training. Responsibilities include discovering data sources, developing reliable ingestion and processing systems, optimizing data quality, throughput, and cost, and collaborating with AI scientists. The role requires ownership of engineering projects from discovery through continuous improvement in a distributed environment.

Build scalable data pipelines and processing systems for AI model training. The role involves discovering audio data sources, optimizing data quality, throughput, and cost, collaborating with AI scientists, and owning engineering projects from discovery through continuous improvement. Candidates should have strong backend software engineering experience, production systems expertise, and proficiency in Python, Bash, and Linux. Experience with web crawlers, distributed processing, cloud infrastructure, Terraform, ML datasets, or audio processing is advantageous.