Project Coordinator

The Dawn of Next-Gen AI Operations

Artificial intelligence is no longer a futuristic concept whispered about in academic baselines or science fiction novels; it is the fundamental infrastructure powering modern enterprise, creative tools, scientific breakthroughs, and daily workflows. Behind every hyper-intelligent large language model (LLM) and groundbreaking generative AI breakthrough lies an immense, highly coordinated machinery of human data operations, prompt alignment, and rigorous quality assurance.

As the artificial intelligence landscape scales exponentially, leading AI laboratories face an unprecedented operational challenge: how to translate high-level research objectives into structured, scalable, crystal-clear guidelines for distributed teams of domain experts. This exact coordination challenge has created a brand new elite tier of remote professional opportunities. At the forefront of this movement is Mercor, a pioneering platform transforming how tech talent connects with elite companies through streamlined, merit-based hiring.

Detailed Job Description & Core Responsibilities

Stepping into the Project Coordinator role means anchoring yourself right at the core of the AI revolution. You will serve as the crucial operational bridge between visionary program leadership and a rapidly expanding workforce of elite domain experts, researchers, and technical specialists.

Your day-to-day operations will span multiple dynamic domains:

• Operational Workflow Management: Act as the primary, day-to-day point of contact for complex AI data projects, ensuring that operational pipelines, annotation milestones, and evaluation cycles run with maximum efficiency.
• Translational Leadership: Take broad, high-level inputs from executive program leads, distill them into precise, actionable operational guidelines, and distribute them cleanly to expert contributor teams.
• Talent Onboarding & Support: Facilitate the seamless onboarding and ongoing enablement of new domain experts as project capacities scale to meet aggressive engineering timelines.
• Business Review Execution: Participate actively in weekly business reviews, document vital notes and strategic action items, and occasionally lead operational calls when required.
• Quality Assurance & Root Cause Analysis: Systematically spot quality bottlenecks or annotation anomalies, dive deep into root causes, and share diagnostic findings transparently across cross-functional teams.
• Deliverable Tracking: Maintain absolute clarity over project milestones and deliverables utilizing advanced data tracking tools including Google Sheets and Microsoft Excel.

Qualifications & Ideal Candidate Profile

Because this role sits at the intersection of operational project management and cutting-edge machine learning research, the qualifications demand a unique blend of structural organization, technical fluency, and leadership capacity.

Essential Requirements:

• Geographic Location: Candidates must be legally based within the United States (USA).
• Educational Background: A strong academic or practical background in STEM (Science, Technology, Engineering, Mathematics) fields is heavily preferred.
• Professional Experience: A minimum of 3+ years of hands-on experience in project coordination, technical program management (TPM), or executive project management (EPM), showcasing the proven ability to coordinate large, cross-functional teams.
• AI Ecosystem Fluency: Prior practical exposure to AI training-data pipelines or human-in-the-loop data projects—whether as an EPM, project lead, team coordinator, or expert contributor.
• Technical Stack Proficiency: Strong data management capabilities (Excel, SQL) alongside working foundational knowledge of coding concepts.
• Leadership Track Record: Demonstrated ability to lead groups effectively, manage stakeholder expectations, and steer large teams toward unified milestones.

Compensation, Employment Structure, and Perks

Compensating top-tier operational talent requires industry-leading structures. This position offers a competitive hourly pay rate ranging between $45 and $55 per hour, structured as a full-time W-2 employment position. Employment is managed via Cincinnatus LLC, an elite enterprise staffing organization that partners with prominent technology companies to source and employ specialized professionals.

Cincinnatus handles all employer-of-record responsibilities—including secure payroll processing, comprehensive benefits administration, and regulatory compliance—allowing you to focus entirely on driving high-impact initiatives directly within the client's core engineering and product teams.

Why You Should Complete Your Application Today

The race toward Artificial General Intelligence (AGI) and refined generative models moves at breakneck speed. Opportunities to embed yourself inside top-tier AI labs as an essential operational driver do not stay open indefinitely. Early applicants enjoy a distinct advantage as hiring pipelines scale up to match immediate operational demands.

By taking the next step and submitting your profile through Mercor’s streamlined one-interview process, you bypass traditional corporate red tape and position your career directly at the bleeding edge of modern technology.