Artificial Analysis, Inc.

Solutions Engineer — Media Generation

San Francisco (On-site)

Sponsorship not specifiedDetected 41 days ago

PythonGitData AnalysisResearchExperimental DesignCommunication

About the role

Artificial Analysis benchmarks leading image and video generation models, providing the AI industry with independent quality and performance comparisons.
Our media generation benchmarks rely on structured human preference evaluations to assess output quality across models.

Set up and manage human preference evaluation studies, including study design, participant management, and quality control
Manage the end-to-end pipeline: from prompt execution through to published results
Maintain documentation of processes and configurations

3+ years of experience in a technical operations, data operations, or solutions engineering role
Detail-oriented with strong process management skills - you can run recurring workflows reliably without oversight

Experience with image or video generation models (Midjourney, DALL-E, Stable Diffusion, Runway, Sora, etc.)
Background in data analysis or research operations
Familiarity with human evaluation methodologies or preference-based ranking systems
Experience in B2B SaaS or developer tools
WHY ARTIFICIAL ANALYSIS?
Shape how AI gets built: The leading AI labs track our benchmarks and use them to guide their development priorities.
Your work will directly influence the direction of AI.
Become a world expert in AI: You will evaluate every major model, across every major capability, as they are released.

This listing is sourced directly from Artificial Analysis, Inc.'s careers page and normalized into a canonical job model.