Remote Strategic Data Pipeline Lead for AI Models

Dover; United States; Teletrabalho; USD 120 000 - 160 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Equity compensation

Performance-based bonuses

Resumo da oferta

Dover is seeking a Strategic Project Lead, Coding/SWE, to own end-to-end delivery of coding data pipelines used to train frontier AI models. You will work closely with AI Lab clients, software engineers, reviewers, and internal teams to ensure high-quality, scalable execution.

You’ll drive automation of pipeline workflows, define task specifications, and track health metrics while coordinating across experts, reviewers, and clients to maintain consistency and delivery quality.

Qualificações

• Bachelor's degree in a technical field.
• Solid understanding of software engineering and coding fundamentals.
• 2+ years leading technical projects, operations, or data workflows.
• Strong analytical and problem-solving skills with metric-driven improvements.
• Ability to translate client requirements into scalable technical specifications.
• Strong stakeholder management and client-facing communication.

Responsabilidades

• Own end-to-end delivery of coding data pipelines, ensuring quality and timelines.
• Drive automation of pipeline workflows, including task generation, validation, QC, and reporting.
• Coordinate across experts, reviewers, MTS, and clients to maintain quality.
• Define task specifications, golden samples, and review rubrics for quality standards.
• Track and optimize pipeline health across quality metrics and throughput.
• Lead continuous improvement based on client feedback and performance data.

Conhecimentos

Leadership & Team Management

Data Operations

Human Data

Formação académica

Bachelor's degree in Computer Science / Software Engineering / Computer Engineering

Descrição da oferta de emprego

Dover is seeking a Strategic Project Lead, Coding/SWE, to own end-to-end delivery of coding data pipelines used to train frontier AI models. You will work closely with AI Lab clients, software engineers, reviewers, and internal teams to ensure high-quality, scalable execution.

You’ll drive automation of pipeline workflows, define task specifications, and track health metrics while coordinating across experts, reviewers, and clients to maintain consistency and delivery quality.