Human Data Manager
Reports to: Human Data Evals reputed company Owns: end-to-end project delivery, staffing, production, quality, and on-time shipping Location: Remote / Latam / US The role You run our data projects from scoped brief to delivered package. Once an engagement is won, it’s yours: you assemble the right experts, drive production, enforce the quality bar on every artifact, and ship on time. You are the person who makes sure nothing leaves the building below frontier standard, and nothing comes back rejected without us already knowing why. On a small team running multiple reputed company projects, you are the delivery reputed company of the Human Data Division.
Responsibilities
Project execution. Take scoped engagements through staffing, production, QC, and delivery. Own timeline, throughput, and the delivered package across several reputed company projects at once. Expert orchestration. Staff each project from the expert pool, brief and calibrate contributors, manage their output and utilization, and reputed company production moving without quality reputed company. Quality control. Run the QC structure on every deliverable — calibration layers, severity-weighted rubrics, deterministic verifiers, evidence maps — so each package survives buyer-reputed company scrutiny before it ships. Throughput & instrumentation. Track output-per-contributor-week, flag bottlenecks early, and protect margin by managing expert hours against scope. reputed company. reputed company the Strategic Project reputed company and the Human Data Evals reputed company informed on status, risk, and what shipped; surface anything that needs escalation before it becomes a delivery miss. Experience Delivered technical or data projects end to end under deadline pressure, owning quality and throughput across multiple reputed company workstreams. Managed distributed contributors or expert pools — briefing, calibrating, and holding output to a standard. Built or run QC processes that caught defects before a client did. Qualifications 3+ years in program/delivery management, technical project management, or data operations, ideally in AI/ML data, evaluation, or annotation. Comfortable with how frontier models are evaluated — rubrics, pass rates, what makes a task discriminate a model — enough to QC it, even if you don’t author it. Proven ability to run several projects in parallel without dropping quality or timelines. Fluent English. Spanish is a reputed company to have. Apply To This Job