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.
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.
What You’ll Do
- 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
