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Strategic Project Lead - AI Post-Training (United States)
Remote US · Remote · Full-time · Posted Oct 28, 2026
- Experience
- 1–2+ years in AI data operations, project coordination, or delivery; ideally in a GenAI or frontier AI environment.
About the job
Leads AI post-training data programs, translating model improvement goals into workflows, datasets, evaluation plans, and measurable delivery outcomes.
What you'll do
- Manage end-to-end project delivery, including scope, timelines, budgets, staffing, and risks; lead client communication and escalations.
- Translate model improvement objectives into data requirements, workflows, rubrics, evaluation plans, and quality standards.
- Monitor delivery quality, resolve ambiguous requirements, develop reusable QA guidance, and mentor Operations Specialists.
What they ask for
- 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 turn evolving requirements into clear workflows, rubrics, and measurable quality standards.
Nice to have
- Experience with RLHF, preference data, model response evaluation, rubric design, model comparison, benchmarks, or evaluation creation.
- Exposure to AI companies, frontier AI labs, or model evaluation programs; bilingual capabilities, particularly German or a Nordic language.
Tools
RLHF
AI focus
Leads AI post-training and model evaluation data programs, including preference data, model comparisons, and evaluation outputs.
Model-written summary · the original posting is authoritative