AI Post-Training Project Lead — Delivery & Quality

Digitailor; United States; Remote; USD 90,000 - 130,000; Full time

Job summary

Appen in the United States seeks a Strategic Project Lead – AI Post-Training to guide data programs shaping frontier models. You will own delivery across scope, timelines, budgets, staffing, and risk, translating AI research needs into practical data workflows and evaluation plans.

Collaborating with clients and internal teams, you will establish quality standards for preference data and model evaluations, and mentor Operations Specialists on scalable processes and SOPs.

Qualifications

• 1–2+ years in AI data operations or delivery roles.
• Experience in GenAI or frontier AI environments.
• Ability to translate evolving requirements into clear workflows, rubrics, and quality standards.
• Strong stakeholder management and client communication skills.

Responsibilities

• 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.
• Mentor Operations Specialists to improve processes and contribute to new capability development.

Skills

AI data operations

Project coordination

Client communication

Data quality

Workflow design

Multitasking

Job description

Appen in the United States seeks a Strategic Project Lead – AI Post-Training to guide data programs shaping frontier models. You will own delivery across scope, timelines, budgets, staffing, and risk, translating AI research needs into practical data workflows and evaluation plans.

Collaborating with clients and internal teams, you will establish quality standards for preference data and model evaluations, and mentor Operations Specialists on scalable processes and SOPs.