About Besimple AI
Besimple AI is constructing the information and benchmark infrastructure for the subsequent era of voice AI. We assist AI perceive folks from all languages and accents.
The founders are ex-Meta product and engineering leaders, from MIT and Brown College. We’re a small, high-ownership crew working immediately with frontier AI labs to push state-of-the-art on audio fashions.
We’re on the lookout for a Strategic Initiatives Lead — Audio Information to personal high-priority audio information tasks finish to finish by way of our platform.
In regards to the function
That is a particularly high-ownership function on the intersection of strategic operations, audio information, AI information supply, product, and buyer execution.
You’ll personal complicated audio assortment and annotation tasks from buyer requirement to last supply. You’ll translate ambiguous buyer wants into executable workflows inside our platform, run pilots, handle contributors and reviewers, monitor high quality and throughput, establish bottlenecks, and make sure the last dataset meets buyer expectations.
As a result of our platform continues to be evolving, this function is not only about working present workflows. Additionally, you will establish gaps within the platform, outline product necessities, and work with engineering to construct or enhance options wanted to ship tasks efficiently.
This isn’t a generic venture administration function. We’re on the lookout for somebody who has personally pushed messy, cross-functional tasks from zero to completion, ideally in AI information, information labeling, annotation, localization, or crowdsourced operations.
What you’ll do
Personal audio information assortment and annotation tasks from kickoff by way of last buyer supply.
Translate buyer necessities into venture specs, contributor workflows, annotation pointers, QA rubrics, acceptance standards, and supply plans.
Configure and function tasks by way of Besimple’s inner platform.
Design and run pilots to validate process design, contributor match, audio high quality, tooling, throughput, value, and QA course of earlier than scaling.
Handle day-to-day execution throughout contributors, annotators, reviewers, QA leads, and inner instruments.
Monitor venture well being throughout quantity, high quality, rejection price, rework price, value, margin, and timeline threat.
Establish platform gaps that stop tasks from scaling, then write clear product necessities or characteristic requests.
Associate with engineering/product to construct or enhance instruments for venture setup, contributor workflows, QA, overview, funds, reporting, and supply.
Associate with contributor development to make sure now we have the suitable provide by language, accent, demographic, machine, ability set, or process kind.
Construct dashboards, trackers, and working cadences for venture execution.
Talk venture standing, dangers, tradeoffs, and blockers clearly to founders, inner groups, and prospects.
Create repeatable playbooks for future audio assortment, transcription, annotation, and QA tasks.
Drive root-cause evaluation when tasks miss high quality, value, or timeline expectations.
What we’re on the lookout for
3–7+ years of expertise in information operations, AI information supply, annotation operations, localization venture administration, market operations, program administration, or related roles.
Confirmed expertise proudly owning tasks finish to finish, from ambiguous necessities to last supply.
Robust operator mindset: you may break down imprecise objectives, create a plan, execute shortly, and unblock your self.
Expertise managing complicated workflows involving distributed contributors, reviewers, contractors, distributors, or large-scale information operations.
Robust product sense; capable of establish when tooling or platform options are wanted and translate operational ache factors into clear product necessities.
Robust analytical capability; snug with spreadsheets, dashboards, funnel metrics, QA metrics, and operational KPIs.
Glorious written communication; capable of write clear directions, pointers, SOPs, buyer updates, and inner product specs.
Robust high quality judgment and a focus to element.
Snug balancing high quality, velocity, value, buyer necessities, contributor expertise, and platform constraints.
Snug working in ambiguity and constructing processes from scratch.
Excessive possession, low ego, and willingness to get hands-on with messy operational particulars.
Robust pluses
Expertise at a knowledge labeling, AI information, localization, or crowdsourcing firm comparable to Scale AI, Surge AI, Appen, TELUS Digital, RWS, TransPerfect DataForce, Welocalize, Lilt, Turing, DataAnnotation, Outlier, Remotasks, or related.
Expertise proudly owning end-to-end supply of information assortment, annotation, transcription, analysis, or QA tasks.
Expertise with audio, speech, voice, ASR, TTS, speech-to-speech, transcription, podcast/audio manufacturing, or linguistic information.
Expertise constructing or bettering inner instruments, workflow programs, annotation platforms, QA programs, or contributor-facing merchandise.
Expertise designing annotation pointers, QA rubrics, reviewer coaching, or calibration workflows.
Expertise with multilingual or locale-specific information tasks.
Expertise managing giant distributed groups of contributors, reviewers, contractors, or distributors.
Primary SQL, Python, Airtable, Retool, no-code automation, or workflow tooling expertise.
Instance tasks you would possibly personal
Launching a brand new audio assortment venture in a precedence language by way of our platform.
Designing the contributor workflow for voice actor auditions, recording duties, metadata assortment, and QA overview.
Accumulating 1,000+ hours of pure speech from contributors in a particular language or locale.
Constructing the working course of for detecting low-quality audio, incorrect locale, artificial voice, background noise, or incomplete metadata.
Working a transcription or annotation workflow for speech datasets.
Figuring out that our platform wants a brand new QA queue, reviewer dashboard, contributor instruction move, or reporting characteristic — then writing the necessities and dealing with engineering to ship it.
Working a pilot, diagnosing high quality points, bettering the workflow, and scaling the venture to full manufacturing.
Making a reusable playbook that permits future buyer tasks to launch quicker and with fewer handbook steps.
What success seems to be like
You can be profitable if Besimple can repeatedly ship audio datasets which can be:
Accepted by prospects
Delivered on time
Inside price range
Prime quality sufficient for mannequin coaching
Operationally repeatable by way of our platform
Bettering over time in value, high quality, throughput, and automation
Your core metrics could embody:
Accepted audio hours delivered
On-time supply price
Buyer acceptance price
Rejection / rework price
Price per accepted hour
Reviewer settlement / QA consistency
Contributor throughput
Mission margin
Platform points recognized and resolved
Variety of reusable workflows or options created
Why be part of us
It is a high-impact function at an early-stage AI firm. You’ll not simply handle tasks — you’ll assist construct the working system for a way high-quality audio information will get produced at scale.
You’ll work immediately with the founders, personal customer-critical tasks, form our inner platform, and outline the playbooks we use to ship audio information for frontier voice AI fashions.
