Remote

The role will own projects from initial scoping through execution and delivery, translating customer requirements into actionable specifications, designing scalable data workflows, coordinating operational and domain teams, and maintaining a high standard of quality and delivery., Project Ownership & Delivery

• Own complex projects from initial framing and scoping through execution and final delivery
• Translate broad objectives into structured project plans, milestones, and deliverables
• Maintain strong execution cadence across multiple workstreams
• Identify blockers early and drive timely resolution
• Ensure projects meet agreed quality, timeline, and operational requirements

Customer Requirements & Project Scoping

• Translate customer needs into clear and actionable project specifications
• Clarify objectives, constraints, success criteria, and delivery expectations
• Convert ambiguous requirements into practical execution plans
• Maintain alignment between customer priorities and internal project teams
• Adjust project scope and execution plans as requirements evolve

Data Pipelines & Operational Design

• Design and launch data pipelines supporting AI training and evaluation workflows
• Improve pipeline usability, clarity, quality, and scalability
• Structure human-data operations for efficient and reliable execution
• Identify opportunities to strengthen workflow performance and operational consistency
• Collaborate with technical and operational teams on data-intensive project requirements

Team Leadership & Quality Execution

• Coordinate Operations, domain experts, and project leads for rapid deployment
• Manage contributors and stakeholders across complex project workflows
• Establish clear ownership, responsibilities, and quality expectations
• Monitor project performance and address delivery or quality issues
• Support high standards across human-data and expert-driven workstreams

Communication & Programme Management

• Own customer communication throughout project execution
• Provide clear updates on progress, milestones, risks, blockers, and next steps
• Maintain direct and consistent communication across internal and external stakeholders
• Drive alignment across technical, operational, and domain teams
• Support fast decision-making in dynamic and high-intensity environments, * Work will involve strategic project leadership, customer scoping, data-pipeline design, human-data operations, stakeholder coordination, and delivery management
• Strong communication, project ownership, and execution discipline are central to this role
• Responsibilities may span AI training, evaluation, data operations, and expert-driven project workflows
• Project scope, customer requirements, team composition, and operational priorities may evolve as programmes scale

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

We are sharing a full-time opportunity for an experienced Strategic Project Lead with strong expertise in project leadership, data operations, technical programme management, and human-data workflows to lead complex projects supporting advanced AI initiatives., * 2+ years of experience leading complex projects, technical programmes, or operational workflows

• Strong project management, communication, and stakeholder-management skills
• Background in data operations, engineering, computer science, or technical project management
• Demonstrated ability to turn ambiguity into structured plans and execute quickly
• Strong ownership, urgency, and attention to detail
• Experience managing cross-functional teams or expert contributors
• Familiarity with data pipelines and data-intensive operational workflows
• Startup or entrepreneurial mindset with a strong bias toward execution
• Experience with AI/ML companies, AI labs, data annotation, or evaluation projects is highly valuable
• Familiarity with AI training workflows and human-in-the-loop operations is advantageous
• Technical background in Computer Science, Engineering, or a related field is beneficial
• Comfortable operating in a fast-paced, remote environment

Engagement Details

• Full-time engagement
• Fully remote