Strategic Project Lead – AI Post-Training

This is a fully remote position, open to applicants in United Kingdom.

📋 Description

• Lead AI companies in the development and enhancement of cutting-edge models through high-quality data initiatives.

• Take ownership of project delivery from start to finish, encompassing scope, timelines, budgets, staffing, and risk management.

• Facilitate client communication, provide status updates, conduct planning sessions, and manage escalations.

• Convert model improvement goals into data requirements, workflows, rubrics, and evaluation plans.

• Establish quality benchmarks and acceptance criteria for preference data, model comparisons, and evaluation outputs.

• Oversee delivery quality, examine inconsistencies, and clarify ambiguous requirements in collaboration with clients.

• Provide guidance on data design, evaluation methodologies, and project feasibility.

• Create reusable guidelines, standard operating procedures (SOPs), and quality assurance (QA) frameworks.

• Mentor Operations Specialists and assist in project scoping, pilots, and the development of new capabilities.

• Collaborate closely with clients and internal teams to convert AI research requirements into dependable datasets and measurable outcomes.

⛳️ Requirements

• 1–2+ years of experience in AI data operations, project coordination, or delivery, preferably within a GenAI or frontier AI context.

• Familiarity with at least one AI post-training or model evaluation workflow.

• Proven experience in coordinating projects or workstreams, managing stakeholder relationships, and engaging with clients.

• Understanding of data quality, annotation workflows, and quality assurance practices.

• Capability to translate evolving requirements into clear workflows, rubrics, and measurable quality standards.

• Strong troubleshooting and organizational skills, with the capacity to manage multiple priorities effectively.

• Interest in the latest advancements in AI, particularly frontier models and post-training techniques.

• 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 in assessing model responses for quality, accuracy, reasoning, or adherence to instructions.

• Exposure to AI companies, frontier AI laboratories, or model evaluation initiatives.

• Bilingual abilities, especially in German or a Nordic language, would be a valuable addition.

🏝️ Benefits

• Permanent - Regular Full-time employment.

• Remote work arrangement.

• Flexibility to deliver results in a manner that suits you and your team.

• Access to tools, resources, and development opportunities for long-term capability building.

• Engage with complex AI challenges across various industries and regions.

• A collaborative culture that values innovation, curiosity, accountability, excellence, and humility.