Strategic Projects Lead — Audio Data
About the role
Besimple AI is hiring a Strategic Projects Lead — Audio Data to own high-priority audio data projects end to end, bridging strategic operations, data delivery, product, and customer execution for audio data workloads.
Responsibilities
- Own audio data collection and annotation projects from kickoff through final customer delivery.
- Translate customer requirements into project specs, contributor workflows, annotation guidelines, QA rubrics, acceptance criteria, and delivery plans.
- Configure and operate projects through Besimple’s internal platform.
- Design and run pilots to validate task design, contributor fit, audio quality, tooling, throughput, cost, and QA process before scaling.
- Manage day-to-day execution across contributors, annotators, reviewers, QA leads, and internal tools.
- Monitor project health across volume, quality, rejection rate, rework rate, cost, margin, and timeline risk.
- Identify platform gaps that prevent projects from scaling, then write clear product requirements or feature requests.
- Partner with engineering/product to build or improve tools for project setup, contributor workflows, QA, review, payments, reporting, and delivery.
- Partner with contributor growth to ensure supply by language, accent, demographic, device, skill set, or task type.
- Build dashboards, trackers, and operating cadences for project execution.
- Communicate project status, risks, tradeoffs, and blockers clearly to founders, internal teams, and customers.
- Create repeatable playbooks for future audio collection, transcription, annotation, and QA projects.
- Drive root-cause analysis when projects miss quality, cost, or timeline expectations.
Qualifications
- 3–7+ years of experience in data operations, AI data delivery, annotation operations, localization project management, marketplace operations, program management, or similar roles.
- Proven experience owning projects end to end, from ambiguous requirements to final delivery.
- Strong operator mindset: ability to break down vague goals, create a plan, execute quickly, and unblock self.
- Experience managing complex workflows involving distributed contributors, reviewers, contractors, vendors, or large-scale data operations.
- Strong product sense; ability to identify tooling or platform feature needs and translate operational pain points into product requirements.
- Strong analytical ability; comfortable with spreadsheets, dashboards, funnel metrics, QA metrics, and operational KPIs.
- Excellent written communication; ability to write clear instructions, guidelines, SOPs, customer updates, and internal product specs.
- Strong quality judgment and attention to detail.
- Comfortable balancing quality, speed, cost, customer requirements, contributor experience, and platform constraints.
- Comfortable working in ambiguity and building processes from scratch.
- High ownership, low ego, and willingness to tackle hands-on operational details.
Skills

About Besimple AI
Expert-in-the-loop eval data for AI
Besimple AI helps teams ship AI with confidence by making high-quality, human-in-the-loop data fast, flexible, and scalable. We’re not a generic annotation vendor—we’re your on-demand evaluation and safety data engine. In under a minute, you can spin up your own data-annotation workspace tailored to your workflow, so your team can move from “we think it works” to measurable, repeatable results. Modern AI changes quickly. Models evolve, prompts shift, and new edge cases appear the moment you go live. Besimple is built for that reality. Our platform generates task-specific annotation experiences aligned to your data and goals, so you can capture reliable judgment on everything from factuality and safety to preference and policy compliance. The result is an always-current evaluation loop that keeps pace with your product, rather than a one-off test that goes stale. We specialize in evaluation and expert-grade safety data—not commodity labeling. That means we recruit and train domain experts and SMEs to judge model outputs against high bars, and we design the interfaces and guidelines to make those judgments consistent, auditable, and useful for both offline evals and production monitoring. Your team shouldn’t be waiting on back-and-forth specs and custom tooling. With Besimple, you can paste or stream your data, click to generate a tailored interface, and start collecting ground truth right away. When the task changes, the UI adapts with it. We combine pragmatic product design with a human-in-the-loop operating model. Besimple helps you create clear, actionable guidelines and then enforces them with workflow guardrails, reviewer consensus, and targeted spot-checks—so you can trust the numbers you ship. Because we’re built for iterative work, teams can quickly compare prompts, models, and policies; spot regressions; and push fixes backed by fresh, expert-reviewed data. Great models don’t happen by accident—they’re the product of tight feedback loops, expert judgment, and tooling that bends to your data, not the other way around. If you’re ready to replace slow, one-size-fits-all processes with a purpose-built evaluation and safety engine, Besimple gives you the fastest path from raw data to reliable decisions—so you can iterate boldly and ship with confidence.
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