Remote AI Data Pipeline Strategy Lead

Zekai; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Equity compensation

Bonuses

Health insurance reimbursement

Paid time off

401(k) plan with company match

Remote-first workforce

Job summary

Zekai is seeking a Strategic Project Lead, Coding/SWE, to own end-to-end delivery of coding data pipelines for training frontier AI models. This remote, full-time role collaborates with AI Lab clients, software engineers, reviewers, and internal teams to ensure scalable, high-quality results.

You’ll drive automation, define task specs and quality rubrics, track pipeline health, and push continuous improvement based on client feedback and performance data.

Qualifications

• Bachelor’s degree in CS/Software Eng/CE or related field.
• Strong understanding of software engineering and coding fundamentals.
• 2+ years leading technical projects, operations, or complex data workflows.
• Strong analytical and problem-solving skills with metrics-driven improvements.
• Ability to translate client requirements into scalable technical specs.

Responsibilities

• 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 execution quality.
• Define task specifications, golden samples, and review rubrics for quality standards.
• Track and optimize pipeline health across quality, AHT, throughput, and delivery metrics.
• Lead continuous improvement based on client feedback and performance data.

Skills

Software engineering fundamentals

Data pipelines

Metrics-driven decision making

Stakeholder management

Client communication

Automation

Education

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

Job description

Zekai is seeking a Strategic Project Lead, Coding/SWE, to own end-to-end delivery of coding data pipelines for training frontier AI models. This remote, full-time role collaborates with AI Lab clients, software engineers, reviewers, and internal teams to ensure scalable, high-quality results.

You’ll drive automation, define task specs and quality rubrics, track pipeline health, and push continuous improvement based on client feedback and performance data.