
Strategic Projects Lead for Coding Data Pipelines
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.
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.
Rates shown per hour. Yearly and monthly pay converted; one-time fees and non-USD pay are not included.
- Live similar roles
- 794
- Listed in last 30 days
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Hiring most right now: micro1 (270) · Mercor (115) · AfterQuery (88)
Most requested skills · share of roles
- python19%
- technical writing10%
- ai evaluation9%
- llm evaluation8%
Figures from Data Engineering roles live on NearSkill when this page loaded. A role can close before you apply, so check the listing itself.
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