Strategic Project Lead, Coding/SWE
micro1· Core team
Remote$120k - $160kFull-timePosted 1w ago
About the role
Strategic Projects Lead responsible for end-to-end delivery of coding data pipelines to train frontier AI models, coordinating with AI Lab clients, software engineers, reviewers, and internal teams to ensure high-quality, scalable execution.
Responsibilities
- Own end-to-end delivery of coding data pipelines, ensuring quality, timelines, and client alignment.
- Drive automation of pipeline workflows, including task generation, validation, QC, and reporting.
- Coordinate across experts, reviewers, MTS, and clients to maintain execution consistency and quality.
- Define task specifications, golden samples, and review rubrics to establish clear 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.
Qualifications
- Bachelor’s degree in Computer Science, Software Engineering, Computer Engineering, or a related technical 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 experience using metrics to drive improvements.
- Ability to translate client requirements into clear technical specifications and scalable workflows.
- Strong stakeholder management and communication skills across technical and client-facing teams.
- Startup mindset with a bias toward ownership, automation, and execution.
Skills
Required:Leadership & Team ManagementData OperationsHuman Data
Benefits
- up to 100% reimbursement for health-insurance premiums
- paid time off
- a 401(K) plan with a company match
- additional benefits designed to support a high-performing, remote-first workforce
Last updated Oct 18, 2026. Interested? Apply on the company site.
About micro1
Data lab to train frontier models & evaluate agents
We’re building the infrastructure for advancing intelligence through expert human data, real-world training environments, and contextual evaluations.
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