Appen
A research and engineering role focused on improving large language models through designing workflows, developing benchmarks, and deploying enhanced models. The position involves hands-on work with training pipelines, evaluation systems, and model performance analysis in a remote environment.
Headquarters
Kirkland, Washington, United States
Company Size
501-1000 employees
Founded
1996
Appen provides high-quality training data and data-labeling services to help organizations build, evaluate, and improve AI and machine learning models. Their offerings include data collection, annotation, transcription, and evaluation across speech, text, image and multimodal domains, supported by a large global, multilingual crowd and tooling for scalable delivery. Appen emphasizes quality, compliance, and operational scalability so enterprises can accelerate development, improve model accuracy and robustness, and deploy AI more confidently.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Appen.
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