Strategic AI Data Pipelines Lead (Remote)

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

Benefits offered by this job

Health insurance reimbursement

Paid time off

401K with company match

Remote-first workforce

Job summary

micro1 is seeking a Strategic Projects Lead to own end-to-end delivery of coding data pipelines used to train frontier AI models. You’ll collaborate with AI Lab clients, software engineers, reviewers, and internal teams to ensure scalable, high-quality execution.

Responsibilities include driving automation, defining task specs, tracking pipeline health, and coordinating across experts, reviewers, and clients to maintain quality.

Qualifications

• Bachelor’s degree in CS/Software/Engineering or related field.
• 2+ years leading technical projects, operations or data workflows.
• Strong analytical and problem-solving skills with metrics-driven approach.
• Ability to translate client requirements into scalable technical specifications.
• Strong stakeholder management and client-facing communication.
• Startup mindset with ownership, automation and execution focus.

Responsibilities

• Own end-to-end delivery of coding data pipelines for training frontier AI models.
• 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 rubrics to set quality standards.
• Track and optimize pipeline health across quality, AHT, throughput and delivery metrics.
• Lead continuous improvement based on client feedback, audits and performance data.

Skills

Software engineering fundamentals

Analytical thinking

Problem solving with metrics

Stakeholder management

Translate requirements into tech specs

Ownership and automation mindset

Education

Bachelor’s degree in Computer Science or related field

Job description

micro1 is seeking a Strategic Projects Lead to own end-to-end delivery of coding data pipelines used to train frontier AI models. You’ll collaborate with AI Lab clients, software engineers, reviewers, and internal teams to ensure scalable, high-quality execution.

Responsibilities include driving automation, defining task specs, tracking pipeline health, and coordinating across experts, reviewers, and clients to maintain quality.