Strategic Projects Lead -- Audio Data
$53 - $71.75/hr
... from scaling, then write clear product requirements or feature requests. • Partner with ... DataAnnotation, Outlier, Remotasks, or similar. • Experience owning end-to-end delivery of data ...
1 Dataannotation Speech Writer Jobs Hiring Near You
Strategic Projects Lead -- Audio Data
$53 - $71.75/hr
... from scaling, then write clear product requirements or feature requests. • Partner with ... DataAnnotation, Outlier, Remotasks, or similar. • Experience owning end-to-end delivery of data ...
DataAnnotation Jobs Information
Do workers at Data Annotation get paid breaks?
No. Most people don’t get paid breaks.
83% of people say they don’t get paid breaks.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and May 2026.
83% of people say they don’t get paid breaks.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and May 2026.
Does Data Annotation pay people when they’re sick?
No. Most people don’t get paid when they’re sick.
83% of people say they wouldn’t get paid if they were sick but scheduled to work.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and May 2026.
83% of people say they wouldn’t get paid if they were sick but scheduled to work.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and May 2026.
Do workers at Data Annotation worry about hours?
Some people worry about getting enough hours.
40% of people report they worry about getting enough hours.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and September 2025.
40% of people report they worry about getting enough hours.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and September 2025.
How easy is it to get time off at Data Annotation?
Most people find it easy to get time off.
83% of people report it’s easy to get time off.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and May 2026.
83% of people report it’s easy to get time off.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and May 2026.
Do Data Annotation managers change schedules at the last minute?
Most managers don’t change people’s schedules at the last minute.
80% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and September 2025.
80% of people say their manager doesn’t change their shift schedule at the last minute.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and September 2025.
Do jobs at Data Annotation spill into time workers aren’t paid for?
Rarely. The job doesn't usually spill into unpaid time.
20% of people report that their job takes up time that they don’t get paid for.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and September 2025.
20% of people report that their job takes up time that they don’t get paid for.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and September 2025.
How easy is it to take sick days at Data Annotation?
Most people find it easy to take sick days.
83% of people report that it’s easy to take time off if they are sick.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and May 2026.
83% of people report that it’s easy to take time off if they are sick.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and May 2026.
Do people at Data Annotation get to take their breaks without interruption?
Most people get breaks without interruption.
83% of people report that they get to take their breaks without interruption.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and May 2026.
83% of people report that they get to take their breaks without interruption.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and May 2026.
Is it stressful to work at Data Annotation?
Most people don’t feel stressed out here.
33% of people say they often feel stressed out at work.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and May 2026.
33% of people say they often feel stressed out at work.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and May 2026.
Do people at Data Annotation enjoy their jobs?
Most people enjoy their job.
83% of people report they enjoy their job.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and May 2026.
83% of people report they enjoy their job.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and May 2026.
Do people at Data Annotation recommend working with their team?
Most people recommend working with their team.
100% of people report that they would recommend working with their immediate team to a friend.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and May 2026.
100% of people report that they would recommend working with their immediate team to a friend.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and May 2026.
Do people get enough training when they start at Data Annotation?
Some people didn’t get enough training when they started.
67% of people report they didn’t get enough training when they started working here.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and May 2026.
67% of people report they didn’t get enough training when they started working here.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and May 2026.
Do people get support to advance at Data Annotation?
Only some people are given support to advance their career here.
In the last year, 40% of people report not being given support to advance their career here.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and May 2026.
In the last year, 40% of people report not being given support to advance their career here.
Based on data from 5 people who took the Breakroom Quiz between December 2024 and May 2026.
Do workers feel well informed about how Data Annotation is doing?
Only some people feel well informed about how the company is doing.
67% of people feel that they aren’t kept well informed about how the company is doing as a whole.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and May 2026.
67% of people feel that they aren’t kept well informed about how the company is doing as a whole.
Based on data from 6 people who took the Breakroom Quiz between December 2024 and May 2026.
What are the most popular jobs at Dataannotation?
What are the most popular categories at Dataannotation?
$53 - $71.75/hr
Full-time
Posted 3 days ago
Job description
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.
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.