Note: The job is a remote job and is open to candidates in USA. Protege is a company focused on solving the unmet need in AI by facilitating the exchange of training data. They are seeking a Solutions Engineer for their media vertical to connect media catalogs with customer AI data needs, focusing on data curation and delivery in fast-moving environments.
Responsibilities
- Own data quality and curate media datasets
- Partner with Sales and Solutions to translate customer requirements into curation strategies
- Work with imperfect partner data, including mismatched metadata, schema differences, and incomplete labeling
- Normalize and standardize datasets for reliable downstream use
- Query and analyze Protege’s media catalog using SQL, internal APIs, and metadata tools to identify relevant content
- Build validation checks and workflows to ensure dataset integrity before delivery
- Identify, debug, and resolve data quality issues across file structures, metadata, and content alignment
- Use AI tools and transcoded embeddings to surface and refine clip-level content
- Turn messy, real-world data into structured datasets that meet customer and model requirements
- Run iterative sample reviews with customers, incorporate feedback, refine selections, and ensure final packages meet spec
- Build deep expertise in Protege’s media catalog structure, metadata, and growth patterns
- Track content coverage, diversity, and modality mix, and identify gaps relative to customer demand
- Partner with Product and Partnerships to share catalog insights that inform sourcing priorities
- Work cross-functionally to ensure content packaging meets technical, ethical, and licensing requirements
- Develop methods, scripts, and internal tools that improve curation efficiency and scale
- Help shape Protege’s delivery platform, including how internal users and customers search, sample, and export data
- Work closely with embedding-based systems to iterate between algorithmic selection and human review
- Define best practices for embedding queries, relevance evaluation, and content diversity
- Maintain a high bar for operational excellence and quality assurance throughout the process
- Build a working understanding of the media catalog, delivery lifecycle, and core tools
- Establish strong cross-functional relationships and shadow live curation workflows
- Lead dataset sampling and curation for active use cases, and document reusable workflows
- Surface early insights on catalog coverage, metadata quality, and process improvements
- Create repeatable QA and delivery workflows that increase consistency and speed
- Provide actionable feedback that shapes platform, sourcing, and catalog roadmap decisions
Skills
- 4-7 years of experience in data science, media analytics, technical curation, or similarly hands-on data roles
- Strong SQL proficiency and comfort querying large, messy datasets to generate insight and action
- Experience working with media metadata, embeddings, or unstructured content
- Ability to translate nuanced customer or model requirements into concrete dataset specifications
- High standard for data quality, operational rigor, and usability of delivered outputs
- Clear communicator who can move between technical depth and customer-friendly clarity
- Thrive in ambiguous, fast-moving environments and treats teammates with kindness
- Familiarity with video/audio processing, embeddings, or multimodal AI workflows
- Prior experience curating or packaging datasets for machine learning
- Background in content analysis, recommendation systems, or information retrieval
Company Overview