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Strategic Projects Lead for Coding Data Pipelines

80–90/hr
Remote
full-time
Posted October 9, 2026
Hot
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Listing checked September 4, 2026 · pay as published by micro1

Key details

Pay
$80–90/hr
Location
Remote
Job type
full-time
Posted
October 9, 2026

Overview

As a Strategic Projects Lead, you will own the full lifecycle of coding data pipelines used to train frontier AI models. You’ll partner with AI Lab clients, software engineers, reviewers, and internal teams to ensure scalable, high-quality delivery. You will define task specs, oversee automation of workflows, and monitor pipeline health to meet timelines and quality standards. This remote, full-time role requires hands-on leadership and a focus on measurable outcomes coding and data operations throughout the project lifecycle.

What You'll Do6

  • Own the end-to-end delivery of coding data pipelines, ensuring quality, on-time delivery, and client alignment.
  • Automate pipeline workflows from task generation to validation, QC, and reporting.
  • Coordinate across experts, reviewers, MTS, and clients to maintain consistency and top-tier quality.
  • Specify task parameters, create golden samples, and set review rubrics to define clear quality targets.
  • Monitor pipeline health using metrics like quality, average handling time, and throughput, then drive improvements.
  • Lead ongoing enhancements based on client feedback, audits, and performance data.

Requirements7

  • Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a closely related field.
  • Solid grounding in software engineering and core coding principles.
  • At least 2 years of experience leading technical projects, operational efforts, or complex data workflows.
  • Strong analytical skills with a track record of using metrics to improve processes.
  • Ability to translate client needs into precise technical specs and scalable workflows.
  • Proven stakeholder management and clear communication across technical and client-facing teams.
  • Entrepreneurial mindset with a bias toward ownership, automation, and execution.

Who Should Apply

The ideal candidate brings hands-on experience leading data-driven engineering initiatives and can map client requirements to scalable pipelines. This role suits someone comfortable working remotely with cross-functional teams and a startup-minded approach. It may not be a fit for those lacking experience in end-to-end pipeline delivery or in translating client needs into technical specs. Common fit concerns include limited experience with automation of workflows or insufficient track record in coordinating diverse stakeholders.

Salary Insight

The job posting notes a national pay range of 120,000–160,000 USD base salary for this full-time role and mentions equity and potential bonuses; exact compensation will be discussed during hiring.

Pay and demand for Data Engineering roles

Market estimates from live NearSkill listings — separate from this job's published terms.

Aggregated

This role · as published

$80–90/hr

Taken from the listing itself.

Typical pay · estimated

$75/hour

Median of 673 similar roles that publish pay · 110 publish only a top rate; those count at the rate they gave

Most Data Engineering roles pay $55–$100 per hour. This role's pay falls inside that range.

Typical rangeMedian payThis role

Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.

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Most requested skills · share of roles

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