Gartner’s New AI Roles and DATAmundi’s support to established and emerging AI roles
Gartner’s recent “New Roles for AI” chart reveals a significant evolution in AI workforce dynamics. Established technical roles like AI developers, Data scientists, ML engineers, and Data Engineers now collaborate closely with critical new roles such as prompt engineers, model validators, AI ethicists, decision engineers, and data & analytics translators. These emerging roles highlight the increasing importance of strategic, ethical, and user-oriented skills in AI development, as well as technical roles which have to adapt to new requested skills, like in the case of “prompt engineering”.
Central to the success of each role—whether established or emerging—is reliable, high-quality data. DATAmundi strategically supports all these roles by providing specialized data services aligned with every stage of the AI data lifecycle:
| Lifecycle Stage | DATAmundi Core Services | Roles Empowered |
| Data Collection & Enhancement | Multilingual data creation (audio, text, etc), synthetic data generation, rare event augmentation | AI Developers, ML Engineers, Data Scientists |
| Data Cleaning & Preprocessing | Data anonymization, regulatory compliance, preprocessing for model training | Data Engineers, Compliance Officers, Governance Specialists |
| Data Annotation & Labeling | Domain-specific annotations, relevance checking, Retriever fine-tuning for RAG systems | AI Developers, Data Scientists, Model Validators |
| Data Quality Assessment, Management & Monitoring | Human & Automated QA, data monitoring, and Drift Detection | AI Product Managers, Decision Engineers, Data Engineers |
| Benchmarking & AI Systems Evaluation | Creating gold-standard annotated test sets, model validation, human evaluation studies | Model Validators, Heads of AI, AI Ethicists, Data Scientists |
In the list of Emerging AI Roles described by Gartner, it is worth highlighting the main responsibilities of Model Validators, AI Ethicists and Prompt Engineers, what is their involvement in the AI Data Lifecycle, and how DataMundi can help to achieve their goals.
Model Validators verify the performance, accuracy, and reliability of AI models before and after deployment. DATAmundi empowers these validators with carefully constructed independent gold-standard test datasets, comprehensive evaluation reports based on continuous human feedback, and drift detection analytics. The importance of independent test sets is underscored by recent industry controversies, such as the accusations against LM Arena for inadvertently enabling top AI labs to manipulate benchmarks. DATAmundi’s independent datasets and evaluations ensure unbiased, objective testing conditions, thereby safeguarding against benchmark gaming and promoting genuine AI performance transparency and accountability.
AI Ethicists are responsible for ensuring AI technologies respect ethical standards and societal values. They require diverse datasets to identify, measure, and mitigate biases and ethical concerns. DATAmundi provides rigorously annotated benchmarking datasets that explicitly capture bias scenarios, human-evaluated feedback on model outputs, and anonymized datasets protecting user privacy—supporting ethicists in validating that AI deployments adhere to fairness, inclusivity, and responsible use.
Prompt Engineers craft precise instructions (prompts) to effectively guide AI system outputs, making their expertise crucial for ensuring that models interpret and respond accurately and contextually to user requests. DATAmundi supports prompt engineers by providing extensive human-generated, contextually rich, and diverse examples that help them optimize prompts to reduce ambiguity and enhance model comprehension, ultimately improving the accuracy, clarity, and relevance of AI-generated responses.
Regarding more Established AI Roles, we can find AI Developers & ML Engineers, Data Scientists, and Data Engineers.
AI Developers & ML Engineers are deeply involved in the core process of building AI-based and in the delivery in production of a reliable AI system. DATAmundi accelerates model training by providing enriched multilingual datasets, synthetic data, and rare event augmentation to improve AI systems reliability. For instance, developers building global language models benefit directly from DATAmundi’s extensive multilingual datasets, helping AI models perform effectively across more than 100 languages, including less common dialects.
Data Scientists heavily rely on accurate annotations and labeled datasets for training and refining models. DATAmundi offers detailed domain-specific annotation services, ensuring data scientists have high-quality inputs for complex tasks such as sentiment analysis, image recognition, and NLP applications.
Data Engineers’ effectiveness hinges on the quality and consistency of data pipelines. DATAmundi provides comprehensive data cleaning, anonymization, and preprocessing services, enabling data engineers to streamline the preparation of clean, compliant, and model-ready datasets, essential for effective AI workflows.
In the evolving AI ecosystem outlined by Gartner, DATAmundi is a critical partner, offering end-to-end data services that empower every AI professional to excel. By bridging data quality with strategic, ethical, and technical roles, DATAmundi ensures robust, ethical, and powerful AI deployments across industries.
