AI Data Annotation

About Centific

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.

Role Overview

We are looking for a senior engineering leader to own and optimize
production AI data annotation and labeling workflows
, with a strong focus on
automation and operational efficiency
.

You will lead a distributed engineering team supporting large-scale AI data delivery projects across multiple modalities, while identifying and implementing automation and AI-assisted solutions to streamline production workflows for PMs, QMs, and delivery teams.

Key Responsibilities

• Own end-to-end
  AI data annotation and labeling workflows
  in production
• Ensure
  reliability, scalability, and quality
  of annotation delivery pipelines
• Support annotation projects across
  text, image, audio, and video
• Identify workflow inefficiencies and
  propose scalable improvements
• Design and implement
  automation solutions
  for production, QA, and delivery processes
• Apply
  AI and LLM-based tools
  for triage, summarization, and operational decision support
• Ensure workflows follow
  human-in-the-loop
  best practices
• Establish automation-first practices across annotation delivery workflows
• Lead and mentor a
  globally distributed engineering team
• Collaborate closely with PMs, QMs, and stakeholders to design effective workflow solutions

Required Experience

• Strong experience with
  production AI data annotation and labeling workflows
• Proven ability to automate and scale delivery operations
• Solid software engineering background (Python, APIs, cloud-native systems)
• Experience leading teams across multiple time zones
• Strong stakeholder management and communication skills

Preferred Experience

• Experience with AI/LLM-enabled workflow automation
• Familiarity with human-in-the-loop systems
• Experience working on enterprise AI data delivery programs

What we offer:

• Attractive remuneration package
• Private Health Care Insurance
• Growth and learning opportunities
• Work in a well-established multinational company
• Hybrid work setup

Centific is an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, ancestry, citizenship status, age, mental or physical disability, medical condition, sex (including pregnancy), gender identity or expression, sexual orientation, marital status, familial status, veteran status, or any other characteristic protected by applicable law. We consider qualified applicants regardless of criminal histories, consistent with legal requirements.