Remote

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., 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

• 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

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