Senior Researcher

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🧬 Research Scientist

👻 Ghost score 12%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Troveo AI

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2024

🤖 Artificial Intelligence

📱 Media

🤝 B2B

Artificial Intelligence • Media • B2B

Troveo AI is a company that curates, licenses, and delivers large-scale, rights-cleared video datasets engineered for training computer vision and multimodal AI models. They work directly with content creators and global licensors to produce annotated, training-ready clips with custom metadata and legal compliance, serving enterprise AI labs and platforms that need high-quality video for model development (e. g. , avatars, action recognition, and camera-motion-aware models). Troveo operates as a B2B data provider and platform focused on media-originated training data.

📋 Description

• Monitor and synthesize trends across AI, machine learning research, foundation models, agents, evaluation techniques, and data enrichment methods • Experiment with emerging models, tools, datasets, and techniques • Build lightweight prototypes and run experiments to evaluate ideas • Identify opportunities to enrich or restructure multimodal, audiovisual, and other data assets • Explore approaches for generating high-quality training corpora • Translate research into opportunity briefs, experiment proposals, success criteria, and recommendations • Own and advance research programs around priority data opportunity areas • Design and run experiments and proofs of concept to validate hypotheses and reduce risk • Partner with product, prototyping, and engineering teams as a research advisor • Maintain living knowledge bases and team briefings • Evaluate emerging techniques and research papers for relevance • Contribute research perspectives to prioritization and longer-term opportunity discussions • Support business operations through ad hoc requests

🎯 Requirements

• 5+ years of relevant experience in applied research or machine learning research • Strong hands-on experimentation mindset with models, APIs, datasets, tools, and techniques • Deep familiarity with large language models, multimodal models, retrieval-augmented generation, agent architectures, fine-tuning, model distillation, and evaluation frameworks • Clear communication of research findings to technical and non-technical audiences • Master’s degree in Applied Sciences, Statistics, or a related field required • Track record centered on opportunity discovery and problem definition • Experience with synthetic data generation, active learning, weak supervision, and knowledge graph construction • Ability to stay current across research and industry sources while separating signal from noise • Experience collaborating with prototyping or applied teams is a plus • Domain familiarity with the company’s business area or ability to ramp quickly is valuable • Legally authorized to work in the United States • Willingness to undergo a background check in accordance with local law/regulations

🏖️ Benefits

• Medical, dental, and vision coverage (100% employer-paid for employees) • Unlimited PTO with encouragement to use it • Paid holidays • Remote-first work from anywhere in the US • Annual learning stipend • Access to top conferences • Direct mentorship from experienced founders • Competitive equity package with clear growth potential • Budget for equipment and software • High-trust, low-ego culture focused on impact, transparency, and work-life balance