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Remote | Strategic Project Lead, Coding​/SWE

Remote / Online - Candidates ideally in
Mount Vernon, Westchester County, New York, 10550, USA
Listing for: 24-Mag Llc
Full Time, Remote/Work from Home position
Listed on 2026-10-30
Job specializations:
  • Software Development
    Data Engineering
Salary/Wage Range or Industry Benchmark: 300000 USD Yearly USD 300000.00 YEAR
Job Description & How to Apply Below
Position: Remote | Strategic Project Lead, Coding/SWE — $300,000–$500,000/year

We are sharing a specialised full-time remote opportunity for experienced Technical Project Leads with strong expertise in software engineering, coding data operations, technical programme management, and scalable workflow automation to contribute to advanced AI training and research initiatives.

Selected professionals will lead the end-to-end execution of software engineering data pipelines supporting the development and evaluation of frontier AI models. The role combines technical project leadership with operational execution, workflow automation, quality assurance, and cross-functional collaboration. Successful candidates will translate complex technical requirements into structured delivery processes while maintaining high standards for data quality, efficiency, and project performance.

Key Responsibilities

Technical Project Leadership & Pipeline Delivery

  • Lead end-to-end delivery of coding and software engineering data pipelines supporting advanced AI development
  • Coordinate technical project activities across engineering experts, reviewers, and operational stakeholders
  • Translate project objectives into clear execution plans, deliverables, and quality requirements
  • Establish consistent delivery processes that support scalability, reliability, and operational efficiency
  • Maintain alignment between technical specifications, project timelines, and expected quality standards

Coding Data Operations & Workflow Automation

  • Design and improve operational workflows involving coding tasks, data generation, validation, and quality control
  • Identify opportunities to automate repetitive processes and improve technical pipeline efficiency
  • Develop scalable approaches to task allocation, workflow coordination, and operational reporting
  • Evaluate process performance and implement improvements across software engineering data operations
  • Support the integration of automation into established delivery and quality assurance workflows

Task Specification & Quality Framework Development

  • Define clear technical task specifications, evaluation criteria, and review methodologies for coding-related assignments
  • Develop representative reference examples, golden samples, and structured quality assessment rubrics
  • Establish consistent standards for evaluating technical accuracy, completeness, and task compliance
  • Collaborate with technical contributors to clarify requirements and resolve ambiguities in task interpretation
  • Refine evaluation processes to improve consistency, reliability, and overall data quality

Pipeline Performance & Operational Optimisation

  • Monitor operational metrics involving quality, average handling time (AHT), throughput, and delivery performance
  • Analyse workflow data to identify operational bottlenecks and opportunities for improvement
  • Develop reporting approaches that provide clear visibility into technical pipeline performance
  • Apply quantitative analysis and operational insights to improve resource allocation and execution efficiency
  • Lead continuous improvement initiatives informed by review findings, stakeholder feedback, and performance metrics

Cross-Functional Coordination & Continuous Improvement

  • Collaborate with software engineering professionals, technical reviewers, researchers, and project stakeholders
  • Communicate complex technical requirements and operational priorities clearly across multidisciplinary teams
  • Coordinate feedback cycles to improve task design, review processes, and project deliverables
  • Support the development of standardised operational procedures and effective knowledge-sharing practices
  • Promote a culture of technical ownership, analytical problem-solving, automation, and consistent execution

Ideal Profile

  • Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a closely…
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