Strategic Project Lead (AI Post-Training)

Location: Remote, London, United Kingdom

Company

hirify.global develops high-quality AI data solutions and programs for frontier AI models across industries and geographies.

What you will do

• Own end-to-end project delivery, including scope, timelines, budgets, staffing, and risk management.
• Lead client communication, status reporting, planning sessions, and escalations.
• Translate model improvement objectives into data requirements, workflows, rubrics, and evaluation plans.
• Define quality standards and acceptance criteria for preference data, model comparisons, and evaluation outputs.
• Monitor delivery quality, investigate inconsistencies, and resolve ambiguous requirements with clients.
• Develop reusable guidelines, SOPs, and QA frameworks; mentor Operations Specialists and contribute to project scoping, pilots, and capability development.

Requirements

• 1–2+ years of experience in AI data operations, project coordination, or delivery, ideally in a GenAI or frontier AI environment.
• Familiarity with at least one AI post-training or model evaluation workflow.
• Experience coordinating projects or workstreams, managing stakeholders, and communicating with clients.
• Understanding of data quality, annotation workflows, and quality assurance methods.
• Ability to translate evolving requirements into clear workflows, rubrics, and measurable quality standards.
• Strong troubleshooting and organizational skills, with the ability to manage multiple priorities.
• Interest in current AI developments, including frontier models and post-training approaches.

Nice to have

• Experience with reinforcement learning from human feedback (RLHF), preference data, or model response evaluation.
• Familiarity with rubric design, model comparison, benchmark development, or evaluation creation.
• Experience assessing model responses for quality, accuracy, reasoning, or instruction following.
• Exposure to AI companies, frontier AI labs, or model evaluation programs.
• Bilingual capabilities, particularly German or a Nordic language.

Culture & Benefits

• Culture focused on innovation, collaboration, excellence, curiosity, accountability, and high-quality AI solutions.
• Work on complex challenges shaping the future of AI across industries and geographies.
• Flexible ways of working supported by tools, resources, and development opportunities.
• Work environment that values humility over ego.