Solutions Engineer — Media Generation

Artificial Analysis, Inc. • San Francisco, CA

1d • Hybrid

About The Position

Artificial Analysis is the leading independent AI benchmarking company. We support labs, engineers and enterprises to understand AI capabilities and make critical decisions about their AI strategies. We are the go-to authority for understanding AI, from AI labs and enterprises to media, investors, and policymakers. Our benchmarks don't just measure the cutting edge of AI, they are actively shaping the frontier.
Our benchmarks and analysis are trusted by hundreds of thousands of users and are the go-to reference for leading AI labs including OpenAI, Google, Meta, NVIDIA and Anthropic, and major publications including the Wall Street Journal, Bloomberg, the Financial Times and The Economist.
We are a team of 35+, on track to triple by year end, backed by Nat Friedman (Github, Meta), Daniel Gross (SSI), Andrew Ng (Google Brain, DeepLearning.ai, Amazon), Adam D'Angelo (Quora, Poe, OpenAI), Clem Delangue (Hugging Face) and other industry leaders.
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.
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.

Requirements

• 3+ years of experience in a technical operations, data operations, or solutions engineering role
• Comfortable with Python scripting and working with APIs
• 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 Haves

• Experience managing research studies, data collection pipelines, or crowdsourcing platforms is a strong plus
• 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

Responsibilities

• 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

Benefits

• Competitive compensation including equity

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed