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.

About Job

Position Summary

As a Norwegian QA Content Analyst, you will play a key role in ensuring the quality, consistency, and accuracy of data used to train and evaluate Large Language Models (LLMs) and multimodal AI systems.

Your primary focus will be on reviewing annotations, gradings, and AI-generated outputs. You will assess whether annotations follow project guidelines, meet quality standards, and accurately reflect expected model behavior across different modalities.

This role requires strong attention to detail, analytical thinking, and the ability to apply complex guidelines consistently.

Responsibilities

Review and quality-check annotations, gradings, and evaluations produced for LLM and multimodal projects (text, image, audio, and/or video).
Validate that annotations and ratings adhere to project guidelines, rubrics, and quality standards.
Identify errors, inconsistencies, ambiguities, and potential biases in annotated data and AI-generated outputs.
Provide clear, actionable feedback to annotators to improve accuracy and consistency.
Flag systematic issues and contribute insights to improve guidelines, workflows, and QA processes.
Collaborate closely with the Quality Management (QM) and project teams to implement QA strategies and calibration efforts.
Support quality audits, spot checks, and escalation of complex edge cases when required.
Conduct production support as required and perform final data corrections to ensure data quality.
Support Quality Management (QM) initiatives, including the development, refinement, and maintenance of project guidelines and processes.

Qualifications

Experience in quality assurance, content review, or data annotation for AI/ML projects.
Familiarity with LLMs and multimodal AI systems (text, image, audio, video) is a strong plus.
Experience reviewing gradings, ratings, or structured annotations is highly desirable.
Strong analytical skills and ability to apply detailed guidelines consistently.
Excellent written communication skills for providing clear, constructive feedback.
High attention to detail and commitment to quality.
Ability to work independently while collaborating effectively within a distributed team.
Ability to manage multiple projects simultaneously, each with distinct guidelines, workflows, and quality standards.
Demonstrated flexibility in taking on different tasks as the role and organizational needs evolve.
Ability to remain composed and effective in fast-paced environments, including adapting to last-minute changes in daily priorities.
Ability to prioritize pilot projects, effectively managing the unique challenges, ambiguity, and frequent changes inherent to pilot initiatives.

Nice to have:

Background in linguistics, content analysis, digital moderation, or AI evaluation.
Previous experience working with annotation platforms or QA tools.
Content writing or prompt authoring experience (helpful, but not required).

Why Join Us?

If you are a detail-oriented QA professional interested in contributing to the development of cutting-edge AI systems, this role offers the opportunity to work on real-world LLM and multimodal projects, directly impacting model quality and reliability.

About Centific

Centific is a global digital technology services company with solutions across various industries. Led by a people-first, intelligence-driven approach, Centific enables experiences that help brands thrive in a sustainable and meaningful way, working to create long-term value and loyal customers for our clients – now and in the future. With clarity of vision, technological expertise, and operational excellence, Centific is the partner of choice for those who want to run smarter - and those who want to change the race.

Your Authentic Self at Centific

Centific is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, age, veteran status, or other characteristics. Centific is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

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.

AI QA Content Specialist - nb_NO

Job Description