Role: AI Data Architect & Pod Manager (Tier 3)
Location: 100% Remote (Philippines)
Compensation: PHP 102,000 / Month
About Taskmaster Virtual Ally: Taskmaster Virtual Ally is an elite Enterprise AI Operations Firm. We build the human-in-the-loop infrastructure that allows high-growth US tech companies and Fortune 500s to scale their Artificial Intelligence frameworks securely.
By deploying our proprietary Apex Alliance 2-2-1 Tiered Data Pods directly into our clients secure VDI environments, we eliminate the AI Engineering Bottleneck. We handle the complex Enterprise Data Readiness, data sanitization, and RLHF anomaly resolution so highly compensated ML engineers can stay in their genius zone.
But our operational excellence is driven by a much deeper, uncompromising mission. Taskmaster is anchored in our core philosophy: Success is what you do for yourself. Significance is what you do for others.
We aren't just building a company; we are building a legacy. Our Divine Purpose is to employ 1,000 elite Filipino professionals to permanently alleviate poverty in the Philippines, and to build a non-profit foundation for abused and abandoned children so they can have a better future. We operate on the Triangle of Wealth—Love, Faith, and Hope—and we demand Extreme Ownership, Radical Integrity, and relentless execution from every member of our team.
If you are a world-class technical architect looking to do the best work of your life while making a massive, generational impact, you belong at Taskmaster.
1. Role Mission The L3 Pod Architect is the technical heart of the Taskmaster 2-2-1 Pod. You are the bridge between high-level US AI Engineering teams and ground-level data execution.
Your mission is to eliminate the AI Engineering Bottleneck by architecting high-fidelity data pipelines that guarantee 99%+ accuracy, ensuring the client's ML engineers never have to manually clean data again.
2. Key Responsibilities
A. Operational Architecture & SOP Development
- Protocol Engineering: Audit messy, unstructured datasets (Medical, Retail, FinTech) and design rigorous Standard Operating Procedures (SOPs).
- Workflow Design: Build end-to-end data pipelines within the client's secure environment (VDI/VPN) to ensure a Zero-Data-Retention posture.
- Iterative Logic Refinement: Constantly update labeling rules based on Edge Case discoveries to prevent model hallucinations.
B. Technical Leadership & Quality Governance
- The QA Shield: Act as the final Human-in-the-Loop (HITL) checkpoint, performing forensic audits on data before it is delivered to the client.
- Pod Management: Lead a 5-seat tiered team (2x L1 Labelers, 2x L2 QA Specialists), resolving technical escalations and maintaining high-velocity throughput.
- Consensus Monitoring: Measure and report on Inter-Annotator Agreement (IAA) and Fidelity Scores to ensure statistical reliability.
C. Strategic Client Liaison
- Engineering Partner: Act as the primary technical point of contact for US-based Chief Data Officers (CDOs) and VPs of AI.
- Compliance Oversight: Ensure all data handling aligns with global standards, including the EU AI Act, HIPAA, and ISO/IEC 42001.
3. Technical Skill Requirements
A. Deep Tooling Expertise (Hands-on Experience Required) Must have advanced experience configuring workflows in at least two of the following:
- Labeling Platforms: Labelbox (Workflow/Batch management), V7 Darwin (Model-Assisted Labeling/SAM), Encord, or SuperAnnotate.
- Computer Vision Tools: Mastery of Bounding Boxes, Polygons, Keypoints, and Temporal Interpolation for video.
- NLP & RLHF: Experience in ranking/evaluating model outputs and building Ontologies for LLM fine-tuning.
B. Infrastructure & Security Mastery
- VDI Environments: Proficiency in operating within Azure Virtual Desktop, AWS WorkSpaces, or similar secure remote environments.
- Security Protocols: Deep understanding of data privacy and Zero-Retention workflows.
4. Core Competencies
- Extreme Ownership: A mindset that embraces total accountability for the pod's output (It's always my fault).
- Technical Writing: The ability to turn complex engineering requirements into simple, executable instructions for L1/L2 tiers.
- Agile Management: Experience running Calibration Pilots and transitioning them into recurring high-volume sprints.
- Communication: Elite English proficiency; ability to lead high-stakes strategy meetings with US technical leads.
5. Why Taskmaster At Taskmaster, we don't sell hours—we sell Significance. You are not a manager of people; you are an Architect of AI Infrastructure. We offer:
- Upmarket Growth: Work directly with cutting-edge AI startups and Fortune 500 enterprises.
- High-Stakes Impact: Be a part of a mission to impact 10,000 families by 2028 through high-level KPO work.
- Innovation-First Culture: We prioritize Integrity over Rhetoric and Execution over Activity.
6. Compensation & Elite Expectations At Taskmaster, we believe in the Jim Rohn philosophy: Wages make you a living, but profits can make you a fortune. We do not pay for hours tracked; we invest in elite outcomes and flawless execution.
- Base Compensation: PHP 102,000 / Month (Clear, transparent, and top-of-market for elite AI operational talent).
- The SLA Mandate: Your primary metric of success is maintaining the 99%+ accuracy SLA for your 5-seat pod. You protect the perimeter, and we protect you.
- The Growth Trajectory: You are coming in at the ground floor of a massive pivot. As we scale to our Definite Chief Aim of 1,000 Filipino professionals, our foundational L3 Architects will be positioned for unparalleled vertical mobility and leadership expansion.
- The Ultimate Benefit: You will be doing the best, most complex work of your career, while directly contributing to a mission that funds foundations for abused and abandoned children. You will build a legacy.
