We are sharing a full-time opportunity for an experienced Strategic Project Lead with strong expertise in software engineering, technical project leadership, data operations, human data pipelines, quality assurance, and scalable execution to lead coding-data programmes supporting advanced AI model training.
The role will own end-to-end delivery of coding and software-engineering data pipelines, working across technical experts, reviewers, engineering stakeholders, and client-facing teams. The successful candidate will combine strong software-engineering fluency with operational leadership, data-driven decision-making, automation, and disciplined execution across complex technical programmes.
Key Responsibilities
Coding Data Pipeline Ownership
-
Own end-to-end delivery of coding and software-engineering data pipelines
-
Manage programmes from initial requirements through production execution and delivery
-
Ensure alignment across quality, timelines, technical specifications, and stakeholder expectations
-
Identify operational risks and resolve delivery bottlenecks
-
Maintain clear ownership across complex and rapidly evolving workflows
Workflow Automation & Scalable Operations
-
Drive automation across task generation, validation, quality control, and reporting
-
Identify repetitive operational processes suitable for automation
-
Design scalable workflows that reduce manual overhead and improve consistency
-
Improve reliability and throughput across technical data operations
-
Support systems and processes that can scale alongside programme growth
Technical Quality & Evaluation Standards
-
Define clear task specifications for coding and software-engineering work
-
Develop golden samples and reference outputs that establish quality expectations
-
Create and refine review rubrics for consistent technical evaluation
-
Ensure reviewers and contributors apply standards accurately
-
Maintain a high quality bar across human-generated technical data
Pipeline Performance & Analytics
-
Track pipeline health across quality, average handling time, throughput, and delivery metrics
-
Analyse operational data to identify performance gaps and improvement opportunities
-
Develop clear reporting around pipeline efficiency and quality
-
Use quantitative evidence to prioritise operational improvements
-
Evaluate the impact of process changes through measurable performance outcomes
Cross-Functional Leadership
-
Coordinate across software-engineering experts, reviewers, technical staff, and client-facing teams
-
Translate stakeholder requirements into clear technical specifications and workflows
-
Maintain alignment across contributors with different technical and operational responsibilities
-
Communicate programme status, risks, and priorities clearly
-
Resolve ambiguity and drive decisions in fast-moving environments
Continuous Improvement
-
Incorporate client feedback, audit findings, and performance data into programme improvements
-
Identify recurring failure patterns and develop systemic solutions
-
Improve quality-control processes as project requirements evolve
-
Refine operational standards based on real-world pipeline performance
-
Build repeatable practices that strengthen future technical-data programmes
Ideal Profile
-
Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a related technical discipline
-
Strong understanding of software-engineering and coding fundamentals
-
2+ years of experience leading technical projects, data operations, or complex technical workflows
-
Demonstrated leadership and team-management capability
-
Strong analytical and problem-solving skills
-
Experience using operational and quality metrics to drive improvements
-
Ability to translate client requirements into clear technical specifications
-
Strong understanding of scalable workflow and process design
-
Excellent stakeholder-management and written communication skills
-
Comfortable collaborating across technical, operational, and client-facing teams
-
Strong ownership mindset and ability to operate effectively under ambiguity
-
Experience with automation, technical data pipelines, human data, or AI-training operations is highly relevant
Engagement Details
-
Full-time engagement
-
Fully remote
-
Base compensation: $300,000–$500,000/year
-
Work will involve coding-data pipeline leadership, technical operations, workflow automation, quality assurance, rubric development, and programme analytics
-
Strong software-engineering fluency and operational leadership are central to this role
-
Responsibilities will include coordination across technical experts, reviewers, internal teams, and external stakeholders
-
Pipeline priorities, delivery requirements, and technical specifications may evolve based on programme and client needs
About the Platform
This opportunity is available through 24-MAG LLC. We connect experienced professionals with remote consulting opportunities across technical, evaluation, and project-based workstreams.
By submitting this application, you acknowledge that your information may be processed by 24-MAG LLC for recruitment and opportunity matching in accordance with our Privacy Policy: https://www.24-mag.com/privacy-policy