Role OverviewWe are sharing a specialized 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.
What You Will Do
Selected professionals will lead the end-to-end execution of software engineering data pipelines supporting the development and evaluation of frontier AI models.
Why It Might Be a Fit
Successful candidates will translate complex technical requirements into structured delivery processes while maintaining high standards for data quality, efficiency, and project performance.
Requirements
- Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or a closely related technical discipline
- Strong understanding of software engineering principles, programming fundamentals, and coding-related technical workflows
- At least 2 years of experience leading technical projects, operational initiatives, or complex data processing workflows
- Demonstrated experience managing cross-functional technical activities involving engineering, operations, or quality assurance
- Strong understanding of data pipeline operations, task management, workflow coordination, and delivery processes
- Experience translating complex stakeholder requirements into clear technical specifications and scalable execution plans
- Familiarity with quality assurance methodologies, structured review criteria, and performance measurement frameworks
- Ability to develop, interpret, and improve operational metrics involving quality, throughput, efficiency, and delivery performance
- Strong analytical reasoning, quantitative problem-solving, and data-driven decision-making capabilities
- Experience identifying process inefficiencies and implementing workflow automation or operational improvements
- Excellent project management, organisational, and prioritisation skills
- Strong written and verbal communication skills, including the ability to collaborate with technical and non-technical stakeholders
- Demonstrated ability to take ownership of complex initiatives and manage execution across multiple workstreams
- Familiarity with AI training pipelines, human data operations, software engineering evaluation, or related research workflows is advantageous
- Experience working in fast-paced technology environments or supporting rapidly evolving technical projects is beneficial
- Ability to work independently, exercise sound judgement, and adapt to changing project requirements
- Proactive approach to technical leadership, continuous improvement, and scalable operational execution
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