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# Solutions Engineer - Media Generation

- **Company:** Artificial Analysis Inc.
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Midjourney, Data Analysis, Programming Tools, Python (Programming Language), DataOps, Scripting, Dall-E, Crowd Sourcing, Stable Diffusion, Api Design
- **Published:** June 13, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=341b62d0be6e6698

## About the Role

Do you have experience in Python?, Required:

 * 3+ years of experience in a technical operations, data operations, or solutions engineering role
 * Comfortable with Python scripting and working with APIs
 * Experience managing research studies, data collection pipelines, or crowdsourcing platforms is a strong plus
 * Detail-oriented with strong process management skills - you can run recurring workflows reliably without oversight
 * Good written and verbal English communication skills
 * Responsive, organized, and dependable

Nice to have (not required):

 * 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

## Description

We're hiring a Solutions Engineer to manage our media generation benchmarking pipeline. You'll run image and video generation evaluations, manage human preference studies, and serve as a technical point of contact for media generation model providers. This is a process-driven, operational role suited to someone who is detail-oriented, comfortable with Python, and can manage pipelines reliably day-to-day., * Generate image and video outputs across models according to standardized evaluation protocols

 * Set up and manage human preference evaluation studies, including study design, participant management, and quality control
 * Process and analyze preference vote data to produce benchmark results
 * Manage the end-to-end pipeline: from prompt execution through to published results
 * Serve as a technical point of contact for media generation model providers - communicating results, explaining methodology, and handling queries
 * Monitor data quality, flag anomalies, and ensure consistency across evaluation rounds
 * Maintain documentation of processes and configurations
 * Stay current with new image and video model releases


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