AI Research Strategist Intern

Centific

23h

About The Position

Centific is a frontier AI data foundry that curates diverse, high-quality data, using our purpose-built technology platforms to empower the Magnificent Seven and our enterprise clients with safe, scalable AI deployment. Our team includes more than 150 PhDs and data scientists, along with more than 4,000 AI practitioners and engineers. We harness the power of an integrated solution ecosystem—comprising industry-leading partnerships and 1.8 million vertical domain experts in more than 230 markets—to create contextual, multilingual, pre-trained datasets; fine-tuned, industry-specific LLMs; and RAG pipelines supported by vector databases. Our zero-distance innovation™ solutions for GenAI can reduce GenAI costs by up to 80% and bring solutions to market 50% faster. Our mission is to bridge the gap between AI creators and industry leaders by bringing best practices in GenAI to unicorn innovators and enterprise customers. We aim to help these organizations unlock significant business value by deploying GenAI at scale, helping to ensure they stay at the forefront of technological advancement and maintain a competitive edge in their respective markets.

Requirements

MBA, MS HCI, MS Computer Science, or related graduate candidate at a top program.
Demonstrable writing portfolio: technical blog posts, newsletters, research summaries, or equivalent artifacts.
Familiarity with AI/ML concepts—enough to read a model card or benchmark result and explain it accurately to a broad audience.
Experience with digital content tools: CMS platforms, email marketing tools (Mailchimp, Substack, or equivalent), and basic SEO analytics (Google Search Console, SEMrush, or Ahrefs).
Strong organizational skills; ability to manage multiple content streams simultaneously without sacrificing quality.

Nice To Haves

Background in UX writing, technical communication, developer relations, or product marketing.
Experience designing or contributing to website content—particularly data-rich or research-oriented microsites.
Familiarity with no-code/low-code web tools (Webflow, Framer, Notion Sites) or comfort working alongside web engineers.
Prior work at the intersection of AI research and communications (e.g., lab blog, AI newsletter, research PR).
Understanding of human-computer interaction, usability, or responsible AI principles.

Responsibilities

Own and produce a bi-weekly AI Insights Newsletter targeting researchers, enterprise leaders, and developer communities—from brief to distribution.
Curate, synthesize, and contextualize the most relevant AI research developments, Centific product updates, and industry data trends.
Design subscriber-growth experiments, track open and click-through rates, and iterate on format and content mix based on engagement data.
Partner with engineering and research teams to surface internal breakthroughs worth publishing externally.
Collaborate with design and engineering to concept, write, and launch benchmark landing pages that present Centific’s data quality and model performance results.
Translate raw evaluation metrics and leaderboard data into narrative-driven web copy that is credible to ML practitioners and accessible to executive buyers.
Maintain a living research hub—updating methodology pages, adding new benchmark runs, and ensuring SEO discoverability.
Work with UX partners to define information architecture and content hierarchy for complex, multi-persona research microsites.
Produce 2–4 high-quality technical blog posts per month spanning topics such as AI data pipelines, annotation best practices, GenAI evaluation, healthcare AI, and responsible AI.
Ghostwrite executive bylines and practitioner deep-dives; adapt content across formats (long-form, listicle, how-to tutorial, opinion piece).
Build and manage an editorial calendar aligned with company launches, conference seasons, and community moments.
Drive SEO strategy—keyword research, on-page optimization, internal linking—to grow organic reach.
Develop a comprehensive content taxonomy for Centific’s research output: white papers, arXiv summaries, dataset release notes, model cards, and case studies.
Create structured templates and style guides so research content is consistently framed for both technical and non-technical audiences.
Partner with the research team to produce dataset and benchmark release communications—press-ready abstracts, explainer posts, and social assets.
Conduct competitive analysis of how peer companies communicate AI research and identify differentiated positioning opportunities for Centific.
Orchestrate multi-channel distribution: email, LinkedIn, X/Twitter, developer forums (Hugging Face, GitHub, Reddit r/MachineLearning), and conference channels.
Define and track KPIs—newsletter subscribers, blog organic sessions, microsite bounce rate, social impressions, share of voice—and report bi-weekly to leadership.
Run A/B tests on headlines, CTAs, and content formats; document findings in a running insights library.