Role description
FlikforgeAdvisor — Data Science Products (Multimodal Video AI)
Equity + Hourly Rate | Remote | Flexible Commitment
About Flikforge
Flikforge is building the rights-native DataOps platform for multimodal AI — end-to-end infrastructure that sources, prepares, licenses, delivers, and benchmarks video and audio datasets for training next-generation models. We serve teams across generative video, robotics, autonomous vehicles, healthcare, and industrial AI, with provenance and rights compliance built into every step of the pipeline.
We have real revenue, active customers, and production datasets already delivered. Our mission is to productize the best end-to-end practices currently being implemented as custom, bespoke solutions across the industry — and turn them into a flexible platform that makes the lives of data scientists meaningfully easier.
The Role
We are building an advisory board of experienced practitioners who want to help shape the future of multimodal data infrastructure — without leaving their current roles.
As an Advisor, you will weigh in on product roadmap decisions and feature prioritization related to AI model evaluation, data labeling, and video and audio training pipelines. Your real-world experience will directly influence how Flikforge evolves as a platform. We are not looking for generalists — we want people who have lived the problems we are solving and have strong opinions about how to fix them.
This is an ideal role for someone who is fully employed but wants to help an early-stage company grow, contribute meaningfully to the AI data ecosystem, and benefit from the upside of doing so.
We will always respect NDAs and are committed to ensuring this engagement creates no conflicts of interest with your current employer.
What We're Looking For
You must have deep, hands-on experience with multimodal video in a research or applied setting, including a strong understanding of the real-world challenges of video labeling, dataset preparation, and the use of video data in model training.
We are looking for advisors who are:
- Deeply experienced with video and multimodal data pipelines in production environments
- Familiar with the labeling challenges specific to video — temporal consistency, scene segmentation, annotation at scale
- Knowledgeable about how data quality and structure directly affect model performance and training efficiency
- Able to identify gaps between current platform capabilities and what practitioners actually need
Preferred experience in one or more of the following:
- LLM or foundation model training workflows involving video or multimodal data
- Industry-specific applications: robotics, autonomous vehicles, healthcare imaging, industrial safety, or surveillance
- Model evaluation and benchmarking frameworks for video understanding or generation
- Large-scale dataset preparation and delivery pipelines
Compensation
Hourly compensation plus early-stage equity. Commitment is flexible and designed to work around your existing role.