Ai Technical Consultant, Llm Safety Evaluation, Digital Impact Division, Digital Guardrails, Home-Ba

AI Technical Consultant, LLM Safety Evaluation, Digital Impact Division, Digital Guardrails, Home-based, Valencia, Spain, 6 Months and 20 days #596213Job no: 596213Contract type: ConsultantDuty Station: ValenciaLevel: ConsultancyLocation: SpainCategories: Information Communication TechnologyUNICEF works in over 190 countries and territories to save children’s lives, defend their rights, and help them fulfill their potential, from early childhood through adolescence.
At UNICEF, we are committed, passionate, and proud of what we do for as long as we are needed. Promoting the rights of every child is not just a job – it is a calling.
UNICEF is a place where careers are built.

We offer
our staff diverse opportunities for professional and personal development that will help them reinforce a sense of purpose while serving children and communities across the world. We welcome everyone who wants to belong and grow in a diverse and passionate culture., coupled with an attractive compensation and benefits package.
Visit our website to learn more about what we do at UNICEF.
For every child, the right to FutureHow can you make a difference?Prepare, clean and structure the agreed test prompt set.
Conduct extensive testing of agreed prompts across multiple LLM providers and configurations, and curate the most informative model responses for expert review.
Run evaluations under different approved safety/content-filter configurations and document how these settings affect model behaviour.
Capture model responses and relevant test metadata.
Troubleshoot API, model, safety-filter or platform issues.
Develop and maintain code to call commercial LLM APIs and, where required, deploy and interact with open-source models for evaluation.
Conduct targeted reviews of state-of-the-art child-safety and AI-safety research to identify relevant prompts, failure modes and emerging risks.
Organise outputs into a simple format for expert review.
Support simple rating, ranking and reviewer comments.
Capture review results in a structured, exportable format.
Iterate the prototype based on expert feedback.
Participate in communication with reviewers, collect feedback on both model behaviour and the review process, and refine the testing/review infrastructure accordingly.
Support re-testing when experts identify new failure modes, ambiguities or edge cases.
Help translate expert feedback into new or refined test cases.
Maintain a clean, versioned prompt-response dataset.
To qualify as an advocate for every child you will have…

Education:
Advanced university degree (Master’s or equivalent) in computer science, artificial intelligence,data science, machine learning, information security, human-computer interaction or a related technicalfield. A first university degree combined with additional relevant professional experience may be acceptedin lieu of an advanced degree, subject to UNICEF requirements.
Computer Science, Artificial Intelligence, Data Science, Machine Learning, Information Security or related field.
Work

Experience:
Minimum five years of relevant professional experience in AI/ML, software engineering,data science, model evaluation or a closely related technical field.

Skills:
Demonstrated hands‑on experience evaluating LLM outputs, including qualitative assessment across multiple models, versions or configurations.
Practical experience with prompt testing, AI safety testing and/or AI red teaming.
Strong Python skills and experience working with LLM APIs andAbility to design and execute structured, repeatable tests and capture sufficient metadata for reproducibility.
Understanding of system prompts, content filters, moderation layers, refusal behaviour and other safety controls that may affect evaluation results.
Proficiency working with CSV, JSON and JSONL and preparing clear prompt-response datasets for expert review.
Experience troubleshooting model, API, filtering or evaluation-platform issues.
Experience deploying and running open‑source LLMs in cloud environments, including model serving and inference workflows.
Ability to communicate technical findings clearly and work iteratively with non‑technical subject‑matter experts.
Language

Requirements:
Fluency in English is requiredDesirables: Azure AI Foundry or comparable evaluation-platform experience; experience in child safety,online harms, safeguarding or responsible AI; experience prototyping lightweight review interfaces.
UNICEF promotes and advocates for the protection of the rights of every child, everywhere, in everything it does and is mandated to support the realization of the rights of every child, including those most disadvantaged, and our global workforce must reflect the diversity of those children. The UNICEF family is committed to include everyone, irrespective of their race/ethnicity, disability, gender identity, sexual orientation, religion, nationality, socio-economic background, minority, or any other status.
UNICEF encourages applications from all qualified candidates, regardless of gender,