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Job Summary:
Besimple AI is building the data and benchmark infrastructure for the next generation of voice AI. They are seeking a Strategic Projects Lead — Audio Data to manage high-priority audio data projects, ensuring they meet customer expectations from initiation to delivery.
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 we have the right 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:
Required:
• 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: you can break down vague goals, create a plan, execute quickly, and unblock yourself.
• Experience managing complex workflows involving distributed contributors, reviewers, contractors, vendors, or large-scale data operations.
• Strong product sense; able to identify when tooling or platform features are needed and translate operational pain points into clear product requirements.
• Strong analytical ability; comfortable with spreadsheets, dashboards, funnel metrics, QA metrics, and operational KPIs.
• Excellent written communication; able 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 get hands-on with messy operational details.
Preferred:
• Experience at a data labeling, AI data, localization, or crowdsourcing company such as Scale AI, Surge AI, Appen, TELUS Digital, RWS, TransPerfect DataForce, Welocalize, Lilt, Turing, DataAnnotation, Outlier, Remotasks, or similar.
• Experience owning end-to-end delivery of data collection, annotation, transcription, evaluation, or QA projects.
• Experience with audio, speech, voice, ASR, TTS, speech-to-speech, transcription, podcast/audio production, or linguistic data.
• Experience building or improving internal tools, workflow systems, annotation platforms, QA systems, or contributor-facing products.
• Experience designing annotation guidelines, QA rubrics, reviewer training, or calibration workflows.
• Experience with multilingual or locale-specific data projects.
• Experience managing large distributed teams of contributors, reviewers, contractors, or vendors.
• Basic SQL, Python, Airtable, Retool, no-code automation, or workflow tooling experience.
Company:
besimple AI is a software company that provides AI-based data annotation infrastructure designed for model training. Founded in 2025, the company is headquartered in Redwood City, USA, with a team of 2-10 employees. The company is currently Early Stage.