Strategic Project Lead – AI Post-Training

🕒 Yesterday

🇺🇸 United States – Remote

⏰ Full Time

🟠 Senior

🤖 AI Engineer

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Appen

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 1996

💼 Consulting

📣 Marketing

🤖 Artificial Intelligence

Consulting • Marketing • Artificial Intelligence

Appen is a company that specializes in providing high-quality, scalable datasets for AI models and applications. With over 25 years of experience, Appen supports the complete AI lifecycle by collecting, curating, fine-tuning, and monitoring data. Their platform is known for its flexibility, allowing enterprises to unlock the potential of their enterprise data through human-AI collaboration. Appen's global reach and expertise make them a trusted partner in accelerating the development and implementation of AI technologies across various industries.

📋 Description

• Lead 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 • Advise on data design, evaluation approaches, and project feasibility based on domain expertise • Develop reusable guidelines, SOPs, and QA frameworks to improve consistency across programs • Mentor Operations Specialists and contribute to project scoping, pilots, and new capability development • Help AI companies develop and improve frontier models through high-quality data programs • Work closely with clients and internal teams to translate AI research needs into clear workflows, reliable datasets, and measurable outcomes

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

🏖️ Benefits

• Permanent - Regular Full-time • Remote work arrangement • Flexibility to deliver in a way that works for you and your team • Tools, resources, and development opportunities to build capability • Opportunity to work on complex AI challenges across industries and geographies • Collaborative culture valuing innovation, curiosity, accountability, excellence, and humility

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