Manage a team of Strategic Project Leads in delivering high-stakes AI data projects while ensuring operational excellence and performance metrics.

The Strategic Projects Lead will manage and drive AI-related projects, optimize talent deployment, improve internal processes, and enhance customer relationships in a fast-growing environment.

The role involves managing large-scale AI projects, developing operational strategies, and collaborating with product and engineering teams to ensure high-quality outcomes.

As a Senior AI Research Engineer, you'll develop and optimize large-scale systems and data pipelines for LLM evaluation, mentor engineers, and define methodologies for data quality.

As a Staff AI Research Scientist, you'll lead high-impact research on data quality frameworks for LLMs, design systems to improve data integrity, and mentor junior team members while collaborating across functions.

Join Handshake AI as a Summer 2026 intern, focusing on LLM post-training, evaluation, and data efficiency under senior scientist mentorship, with project ownership aimed at publishable research.

The Learning Designer will create and deploy effective training solutions for Operations teams to enable high-quality AI training data delivery, analyze learning needs, and support Operators in developing coaching capabilities.

The role involves managing project execution, maintaining expert networks, tracking KPIs, and improving processes to enhance project delivery at Handshake AI.

The Head of Strategic Projects at Handshake AI will lead a team to manage high-impact AI data initiatives, ensuring quality and operational excellence while aligning cross-functionally with other teams.

The role involves managing full-cycle sales, developing relationships with executives, and exceeding sales quotas in a fast-paced, consultative selling environment.

The Mid-Market Account Executive will connect employers to students, manage full-cycle sales, exceed quota targets, and collaborate cross-functionally, all in a fast-paced environment.

Design and implement systems for model training, build infrastructure for data processing, develop benchmarks for model evaluation, and optimize performance across layers. Collaborate with cross-functional teams for validation of models and benchmarks.