Вакансии

Location: United Kingdom Workplace: remote Speech Recording Participant – American English  Location: United Kingdom Contract Type: Freelance (4month commitment)  Hours: 17 hours weekly commitment required      We’re looking for British English speakers to participate in a structured voice recording project supporting next generation AI voice technology. This is a remote, flexible, part-time freelance opportunity ideal for individuals who can commit to consistent weekly participation over a 4month project period.    About the Work  Participants will record short, scripted prompts via our task delivery platform, Aurora Studio. Recordings should reflect a natural speaking style, and some scripts may ask for light emotional variation (e.g., sounding mildly surprised or concerned while maintaining a natural tone).    Requirements  British English accent required  Ability to commit 14 hours weekly for 4 months  External microphone required (no laptop or phone mics)  Quiet recording environment, no background noise  Clear, consistent, natural speaking delivery  Reliable home internet connection    Your Responsibilities  Record scripts provided within the Aurora Studios platform  Maintain required audio quality standards  Deliver weekly tasks reliably throughout the project    Why Participate?  Competitive pay Work from home on your own schedule  Contribute to the development of advanced AI speech technologies  Straightforward tasks with ongoing weekly availability

ML-команда развивает рекомендательную систему и инструменты компьютерного зрения, обработки текста и распознавания речи. Предстоит улучшать модели, участвовать в сборе данных и оптимизировать инфраструктуру запуска моделей и мониторинга.

Location: Ukraine; Moldova; Albania; Kazakhstan; Montenegro; European Union; Serbia; Bosnia; Georgia Workplace: Remote ABOUT US Ruby Labs is a leading tech company that creates and operates innovative consumer products. We offer a diverse range of opportunities across the health, education, and entertainment industries. Our innovative teams are driving the future of consumer-led products, and we're always looking for passionate individuals to join us. Learn more about our story at: https://rubylabs.com/about-us/ ABOUT THE ROLE At Ruby Labs, we are looking for a Senior Desktop Engineer to own and drive a new cross-platform desktop product from first commit to production. This is a high-ownership role with an unusually deep systems component. The application is not a wrapped web app: it captures system and microphone audio in real time, renders an always-on-top overlay across the user's workspace, registers global shortcuts, and integrates with the operating system at a level that requires native code on both macOS and Windows. Our architecture is Electron for the application and UI layer, with native modules and helper processes in Swift and C++ where the platform requires it. You will own that boundary, deciding what belongs in TypeScript, what belongs in native code, and making the two halves behave as one reliable product. You will also own everything that happens after the build: code signing, notarization, entitlements, permission onboarding, auto-update, and crash reporting. On this product, those are not an afterthought; they are a significant share of the engineering work, and getting them wrong is what stops users from ever running the app. You will operate as the senior technical voice for desktop within your team, setting the engineering standard for the platform. KEY RESPONSIBILITIES DESKTOP APPLICATION & ENGINEERING QUALITY - Own the Electron architecture end to end — main, renderer and helper processes, IPC design, context isolation, process lifecycle — and deliver major features within agreed timelines. - Build transparent, frameless, always-on-top overlay windows that behave correctly across full-screen spaces, multiple displays and mixed-DPI setups, alongside global shortcuts, tray presence and low-latency UI under continuous background load. - Design a clean platform abstraction in TypeScript so the macOS and Windows implementations stay isolated and independently testable, and write idiomatic Swift and C++ in the native layer. - Keep the product reliable: defensive handling of unstable platform APIs, tests and code reviews, performance, memory and battery budgets, and remediation of security-review and penetration-test findings within agreed severity SLAs. NATIVE PLATFORM INTEGRATION - Build and maintain the native layer: Node addons (N-API / node-addon-api) and out-of-process helpers in Swift and C++. - Implement real-time system audio capture — Core Audio process taps and ScreenCaptureKit on macOS, WASAPI loopback on Windows — including device change handling, format negotiation and graceful recovery from driver-level failures. - Integrate with the Accessibility API (AXUIElement) on macOS and UI Automation on Windows to read application context reliably. - Own the IPC protocol and lifecycle between Electron and the native helpers, and keep the application working as Apple and Microsoft change their platforms. DISTRIBUTION, PERMISSIONS & RELEASE RELIABILITY - Own code signing and notarization on macOS — hardened runtime, entitlements, nested binary signing, provisioning profiles — and Authenticode signing, SmartScreen reputation and antivirus false positives on Windows. - Design the permission onboarding flow — microphone, system audio, screen recording, accessibility — so that grant rates stay high and failure states are recoverable. - Build and maintain the release pipeline: CI matrix builds, signing from CI with HSM-backed certificates, auto-update, staged rollout and rollback. - Own crash reporting and production telemetry for the desktop client, and act on what it tells you. QUALIFICATIONS - 6+ years of software engineering experience, including production-grade TypeScript/Node.js. - 3+ years building and shipping Electron applications to real end users, not internal tools or proofs of concept. - Hands-on native macOS development in Swift and/or Objective-C, with AppKit and at least one system-level framework such as Core Audio, AVFoundation, ScreenCaptureKit, or the Accessibility API. - Practical experience writing native Node addons (N-API / node-addon-api) or bundling and communicating with out-of-process native helpers. - Demonstrated experience with macOS code signing, notarization, entitlements, and the TCC permission model — you have debugged a rejected notarization and know how to read the log. - Working knowledge of the Windows desktop platform: Win32 APIs, Authenticode signing, and the practical realities of SmartScreen and antivirus reputation. - Strong grasp of multi-process architecture, IPC, and debugging issues that only reproduce on a user's machine. NICE TO HAVE - Real-time audio pipelines — buffering, resampling, mixing multiple sources, or streaming to speech-to-text services. - Signing from CI with hardware-backed certificates (Azure Key Vault, DigiCert KeyLocker, or similar), and antivirus whitelisting or SmartScreen reputation building for a new product. - Auto-update infrastructure such as Squirrel, electron-updater or Sparkle, including staged rollouts. - Crash reporting and symbolication for native code (Crashpad, Sentry, or similar). - Prior experience shipping a consumer desktop product at meaningful scale. LOCATION Ruby Labs operates within the CET (Central European Time) zone. Applicants from any country are welcome to apply for the position as long as they are located within approximately ± 4 hours of CET. This ensures optimal collaboration and communication during working hours. BENEFITS Discover the perks of being part of our vibrant team! We offer: - Remote Work Environment: Embrace the freedom to work from anywhere, anytime, promoting a healthy work-life balance. - Unlimited PTO: Enjoy unlimited paid time off to recharge and prioritize your well-being, without counting days. - Paid National Holidays: Celebrate and relax on national holidays with paid time off to unwind and recharge. - Company-provided MacBook: Experience seamless productivity with top-notch Apple MacBooks provided to all employees who need them. - Flexible Independent Contractor Agreement: Unlock the benefits of flexibility, autonomy, and entrepreneurial opportunities. Benefit from tax advantages, networking opportunities, reduced employment obligations, and the freedom to work from anywhere. Read more about it here: https://docs.google.com/document/d/1nkrN76JlZkbKj9WSOhlT1_mni_CZeDkHdwfIjPXVwvk/preview?tab=t.0#heading=h.ndsdl4wapxtt Be part of our fast-growing team and seize this excellent opportunity for personal and professional growth! INTERVIEW PROCESS After submitting your application, we conduct a thorough review which typically takes 3 to 5 days, but may occasionally take longer due to the volume of applications received. If we see a potential fit, we proceed with the following steps: - Recruiter Screening (40 minutes) - Technical Interview (60 minutes) - Final Interview (40 minutes) LIFE AT RUBY LABS At Ruby Labs, we move fast, aim high, and expect the same from our team. We’re not here to play small—we’re here to build, grow, and win. That means we look for people who are ambitious, driven, and ready to give their best every single day. This is a place for individuals who thrive under pressure, embrace challenges, and see opportunity in every obstacle. If you’re hungry to achieve, motivated by impact, and want to grow at the speed of your own ambition, Ruby Labs offers the platform to make it happen. Here, effort is matched with reward. We recognize those who go all in and deliver results, and we create space for people who want more—more responsibility, more growth, and more success. #LI-Remote

-поддерживать и улучшать рекомендательный сервис и CV наших продуктов. -участвовать в построении пайплайнов по сбору данных для последующего моделирования.

Location: Gurgaon, India Workplace: remote About Welo Data Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment.  Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai    About the Team  Welo Data's Trust & Safety function protects the integrity of a global, distributed workforce that powers AI data and annotation work. We run a multi-layered fraud detection stack combining identity verification checks, in-house behavioral signals, and platform activity data, and are actively building out a Trust & Safety Committee spanning four core workstreams: identity verification, location verification, account integrity, and multi-accounting detection. This is a hands-on investigative role, not a policy-only seat — you'll be working live cases from day one.  About the Role  We're looking for a Trust & Safety Specialist, based in India, to join our investigations team, working active fraud cases and supporting the broader fraud strategy program. You'll come in with real T&S, fraud/risk, or identity-verification experience from another platform, marketplace, gaming company, fintech, IDV vendor, or crowdsourced-workforce environment, and be ready to run investigations, process removals, and spot fraud patterns from week one. What You Will Do Run investigations end-to-end: triage flagged accounts, review evidence (identity signals, behavioral flags, platform activity data), reach a disposition, and process removals in line with policy and SLA. Own IDV review: verify identity and location signals for flagged or high-risk accounts, distinguishing genuine edge cases from fraud. Conduct manual audits and reviews: prioritizing cases by risk and signal strength rather than intake order. Detect multi-accounting and account integrity abuse: recognize patterns across linked accounts, device/location overlap, and behavioral signals. Apply a hypothesis-driven investigation method: form a hypothesis, test it against the evidence, and reach a disposition that can be replicated and audited. Contribute to detection improvement: escalate emerging fraud vectors, false-positive/false-negative patterns, and rule gaps to the fraud strategy team. Handle sensitive data responsibly: apply GDPR-aligned data handling and deletion practices in every case. Collaborate cross-functionally: partner with Research Labs, Quality Strategy Architecture (QSA), and Forward Deployment Engineering on tooling gaps and process fixes surfaced by your casework What You Bring (Must Have-s) 4+ years in a T&S, fraud/risk, or identity-verification investigations role — from a platform/marketplace T&S team, a fintech/payments risk team, an identity-verification vendor, or a crowdsourced/gig-workforce trust function. Direct experience with identity/fraud signals — device fingerprinting, IP/geolocation checks, document verification, or behavioral fraud scoring. Multi-accounting / account integrity pattern recognition — you've dealt with linked-account abuse, farming, or account sharing before, not just single-account review. Case documentation discipline — you write clean, evidence-backed case notes that would survive an audit or an appeal. Comfort with ambiguity and volume — you can prioritize a queue by risk, not just clear it by count. Working knowledge of data privacy obligations (GDPR or equivalent) as they apply to case handling and data retention/deletion. Nice to Have Experience specifically in AI/ML data annotation, RLHF, or research operations workforce platforms. Exposure to rule-based fraud detection engines and an opinion on rule sprawl vs. signal quality. Familiarity with clustering/anomaly-detection approaches to fraud (even at a conceptual level). Case management system experience (any ticketing or knowledge-base tooling). Recommended Education Bachelor's degree in Criminology, Law, Criminal Justice, Cybersecurity, Information Security, Data/Computer Science, or a related field. Equivalent practical experience in T&S, fraud investigations, or identity verification will be considered in place of a degree. Relevant certifications are a plus: CFE (Certified Fraud Examiner), CAMS (Certified Anti-Money Laundering Specialist), or IDV/identity risk vendor certifications.

Un(e) Développeur(-euse) Expérience IA est responsable du cycle de vie complet des parcours que nos clients vivent avec l'agent IA d'Upgrade par clavardage, par téléphone et par courriel : création, optimisation, gestion des cas particuliers et augmentation du taux de résolution autonome. Création de parcours :

Location: Vladivostok Workplace: onsite ABOUT US Xsolla is a global commerce company with robust tools and services to help developers solve the inherent challenges of the video game industry. From indie to AAA, companies partner with Xsolla to help them fund, distribute, market, and monetize their games. Grounded in the belief in the future of video games, Xsolla is resolute in the mission to bring opportunities together, and continually make new resources available to creators. Headquartered and incorporated in Los Angeles, California, Xsolla operates as the merchant of record and has helped over 1,500+ game developers to reach more players and grow their businesses around the world. With more paths to profits and ways to win, developers have all the things needed to enjoy the game.   For more information, visit xsolla.com.   ABOUT YOU We are looking for a Junior Developer (AI Engineering) to join the Xsolla Partner Network (XPN) team, a platform that connects game studios and publishers with content creators. The position involves participation in all stages of work on an automated content generation system: from stabilising the existing vertical video pipeline for YouTube Shorts, TikTok and Instagram Reels to developing the agentic architecture, launching the virtual AI creator direction and building analytics on the results. Working with the team means applying cutting-edge generative models and agentic tools to a real production product every day, seeing the direct effect of your work in content metrics, and learning from the inside how the games industry, the creator economy and content-driven game promotion work. The developer will work with a live system that has a real audience and measurable results, make technical decisions independently, build expertise in generative AI and take on the role of the project's technical owner as it grows. Responsibilities Take over the existing vertical video generation pipeline (script → voiceover → visuals → subtitles → editing → auto-posting → tracking links) for YouTube Shorts, TikTok and Instagram Reels, understand it from the docs and code, and bring it to stable operation. Grow the pipeline: improve content quality and virality, scale up generation volume, reduce cost and turnaround time per video. Keep track of new generation models and services (video, image, voice, LLM), test them quickly and replace outdated parts of the pipeline with better or cheaper ones. Launch and develop the virtual AI creator direction: a consistent character, voice, style and content plan. Design and improve agents: write and debug prompts and sub-agent roles, validation between phases, context and cost control. Build a dashboard for running generation and tracking content analytics (views, clicks, conversions, cost per video). Automate publishing: platform integrations, posting from mobile devices, scaling channels. Write clean, testable, documented code, including unit and integration tests. Requirements Solid Python, basic bash. Hands-on experience with LLM APIs (Claude, OpenAI, etc.) and agentic pipelines: a real project, pet project or hackathon entry you can show and talk through. Experience using Claude Code, Cursor or similar tools as a working environment, not just as autocomplete. Understanding of prompt engineering basics: defining an agent's role, limiting context, getting stable structured output. Understanding of Git, team development and Docker basics. Ability to work with REST APIs and webhooks, basic understanding of databases (SQL). Understanding of vertical content: games, creators, streams, TikToks, Shorts, how video discovery works, what shadowbans are, how mobile posting farms are set up. A big plus if this is your hobby: your own channel, editing, streaming, experiments with AI generation. Ownership: the ability to take a task end to end and deliver a result without external supervision. Initiative: your own proposals on improving the pipeline, new models and automation, and the readiness to implement them yourself. Ability to figure out someone else's system from code and documentation, reconstruct the logic and ask the right questions. Independence in technical decisions and openness in communication: flag problems immediately. Product thinking: measuring results by content metrics (views, retention, clicks) and cost per video. Ability to explain the system's capabilities and limitations to non-technical colleagues. Experimental mindset: fast hypothesis testing and the willingness to drop what did not work. Desire to grow with the project: from stabilising the current pipeline to becoming its technical owner. English at the level of reading technical documentation (Intermediate+). Nice to have Experience with video and image generation via API ( fal.ai , Kling, Runway, Seedance, Nano Banana, etc.), TTS and speech recognition (Whisper and similar). ffmpeg: assembly, normalisation, subtitles, overlays. Experience building reliable calls to paid APIs: retries, idempotency, cost tracking. n8n or other workflow tools. Telegram bots, YouTube / TikTok / Instagram / Discord APIs. Android / mobile device automation. Supabase or PostgreSQL. Experience with GCP, Docker, Kubernetes. Observability and monitoring (Datadog, OpenTelemetry). Your own channel, pet projects, open-source experience or hackathon participation. Benefits   Convenient working tools: New Mac laptop and any other necessary equipment for your efficient work. Google Workspace, Atlassian, Jira, Slack   Professional growth: Exchange of experience between employees within the company Opportunity for professional growth within the company and department Obtaining expertise in various areas and products of the company   More perks Possibility of flexibility working Access to the corporate library No dress code Comfortable and new office environment The duties and responsibilities of this position may evolve over time to support the organization’s goals and individual growth. This job description is intended to outline the general nature and level of work being performed and is not intended to be an exhaustive list of all duties, responsibilities, and qualifications required. By submitting your application, you consent to Xsolla conducting background checks, where permitted by law, after the final interview stage. All checks will comply with local regulations, and your information will be handled confidentially. Xsolla takes your privacy seriously and will not sell or externally distribute any personal data received during the hiring process. In accordance with applicable data protection laws, Xsolla is committed to protecting your personal information and respecting your privacy. For any inquiries related to data privacy, please contact: careers@xsolla.com Explore more opportunities at: https://xsolla.com/careers

Location: Mexico Workplace: remote About Welo Data Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment.  Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai    About the Team  Welo Data's Trust & Safety function protects the integrity of a global, distributed workforce that powers AI data and annotation work. We run a multi-layered fraud detection stack combining identity verification checks, in-house behavioral signals, and platform activity data, and are actively building out a Trust & Safety Committee spanning four core workstreams: identity verification, location verification, account integrity, and multi-accounting detection. This is a hands-on investigative role, not a policy-only seat — you'll be working live cases from day one.  About the Role  We're looking for a Trust & Safety Specialist, based in Mexico, to join our investigations team, working active fraud cases and supporting the broader fraud strategy program. You'll come in with real T&S, fraud/risk, or identity-verification experience from another platform, marketplace, gaming company, fintech, IDV vendor, or crowdsourced-workforce environment, and be ready to run investigations, process removals, and spot fraud patterns from week one. What You Will Do Run investigations end-to-end: triage flagged accounts, review evidence (identity signals, behavioral flags, platform activity data), reach a disposition, and process removals in line with policy and SLA. Own IDV review: verify identity and location signals for flagged or high-risk accounts, distinguishing genuine edge cases from fraud. Conduct manual audits and reviews: prioritizing cases by risk and signal strength rather than intake order. Detect multi-accounting and account integrity abuse: recognize patterns across linked accounts, device/location overlap, and behavioral signals. Apply a hypothesis-driven investigation method: form a hypothesis, test it against the evidence, and reach a disposition that can be replicated and audited. Contribute to detection improvement: escalate emerging fraud vectors, false-positive/false-negative patterns, and rule gaps to the fraud strategy team. Handle sensitive data responsibly: apply GDPR-aligned data handling and deletion practices in every case. Collaborate cross-functionally: partner with Research Labs, Quality Strategy Architecture (QSA), and Forward Deployment Engineering on tooling gaps and process fixes surfaced by your casework What You Bring (Must Have-s) 5+ years in a T&S, fraud/risk, or identity-verification investigations role — from a platform/marketplace T&S team, a fintech/payments risk team, an identity-verification vendor, or a crowdsourced/gig-workforce trust function. Direct experience with identity/fraud signals — device fingerprinting, IP/geolocation checks, document verification, or behavioral fraud scoring. Multi-accounting / account integrity pattern recognition — you've dealt with linked-account abuse, farming, or account sharing before, not just single-account review. Case documentation discipline — you write clean, evidence-backed case notes that would survive an audit or an appeal. Comfort with ambiguity and volume — you can prioritize a queue by risk, not just clear it by count. Working knowledge of data privacy obligations (GDPR or equivalent) as they apply to case handling and data retention/deletion. Nice to Have Experience specifically in AI/ML data annotation, RLHF, or research operations workforce platforms. Exposure to rule-based fraud detection engines and an opinion on rule sprawl vs. signal quality. Familiarity with clustering/anomaly-detection approaches to fraud (even at a conceptual level). Case management system experience (any ticketing or knowledge-base tooling). Recommended Education Bachelor's degree in Criminology, Law, Criminal Justice, Cybersecurity, Information Security, Data/Computer Science, or a related field. Equivalent practical experience in T&S, fraud investigations, or identity verification will be considered in place of a degree. Relevant certifications are a plus: CFE (Certified Fraud Examiner), CAMS (Certified Anti-Money Laundering Specialist), or IDV/identity risk vendor certifications.

Location: Philippines; India Workplace: remote About the Role:   Review pre-segmented audio recordings, verify word-level segment accuracy, and correct timestamp or transcription errors to support training data for speech-to-speech AI models  Location: India/ Philippines (Remote)  Engagement Type: Freelance (Pilot)  Rate: USD 4.55/hour  Estimated Hours: 30 hours/week Key Responsibilities Listen to short audio clips and review automatically generated word-level segments (start timestamp, end timestamp, transcription) Verify segment boundaries align with actual speech onset and offset Review start/end timestamps when boundaries are inaccurate Identify and flag tasks for discard per defined criteria (unintelligible audio, non-target language, sensitive content, no voice activity, etc.) Maintain consistency and accuracy across a detailed, evolving style guide Requirements English fluency, including strong command of spoken/colloquial forms (contractions, filler words, informal speech) Prior experience with audio transcription, data annotation, or speech/NLP data labeling preferred Comfortable using annotation/labeling tools Ability to reference and apply a detailed style guide consistently Ability to work independently and adapt to periodic guideline updates #L1-CC1

Location: Philippines; India Workplace: remote About the Role:   We are looking for experienced Adjudicators to review and resolve discrepancies in word level transcription and timestamp annotations for an English (US) speech data project. This role requires strong judgment to make final calls on flagged or disputed segments, ensuring quality and consistency across the annotation pipeline.    Project Details: Andromeda Delta Location: Philippines & India (Remote)  Engagement Type: Contract / Freelance   Rate: USD 7.00/hour  Estimated Hours: 15–20 hours/week Key Responsibilities Review annotations flagged by first-pass Annotators for disagreement or ambiguity Listen to audio clips and make final determinations on word-level segment boundaries and transcriptions Apply the project style guide consistently to resolve edge cases Provide clear rationale for adjudication decisions Identify patterns in annotator errors and feedback quality observations where needed Requirements US cultural expertise in English; excellent listening comprehension Prior experience in transcription/annotation QA, adjudication, or linguistic review preferred Strong ability to apply detailed guidelines consistently and make sound judgment calls High attention to detail and comfort working with ambiguity Reliable internet connection and quiet working environment with good headphones #L1-CC1

to join our Research team, developing and improving the systems behind large-scale distributed training, data processing, and inference. Raise the team's experimental velocity — make it faster to launch an experiment job, get a number back you can trust, and know what to try next.

Location: Santa Clara, CA Workplace: onsite About Welo Data Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment.  Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai    Role Overview You own a shift. Not a zone of it, not a function within it — the whole thing. Roughly 140 operators, 13 Cell Leads, and 3 Operations Supervisors collecting robot demonstration data, and you are the single person accountable for what that shift produces, how good it is, and whether everyone goes home safe. The shift you own runs whether or not the Production Manager is in the building. That's the job: your shift should be indistinguishable in output and quality from the one before it and the one after it. What You Will Do Own your shift's production plan end to end — accepted episodes, first-pass acceptance, utilization, and labor efficiency against target. Manage 2–3 Operations Supervisors; own their performance, their development, and the quality of the Cell Lead bench underneath them. Run shift start-up, mid-shift review, and a documented handoff — you receive the shift before yours and hand off cleanly to the shift after. Make the real-time calls: redeploying staff when a cell goes down, resequencing work when a task type stalls, flexing coverage when attendance comes in short. Own safety on your shift — daily walks, protocol enforcement, incident response, and the expectation that your supervisors use: their stop-work authority. Partner with Data Quality on your shift's acceptance rate; drive root cause into retraining and process rather than into a rework queue. Escalate equipment and rig issues to Lab Engineering and keep staffed-but-idle hours visible. Handle performance management and employee relations escalations from your supervisors, partnering with HR. Hold California meal, rest, and overtime compliance across every non-exempt employee on your shift. Report your shift's performance and variance daily, with the explanation and the fix, not just the number. What Good Looks Like Your shift hits plan without overtime surprises or last-minute heroics. Handoffs are clean enough that the next shift starts producing immediately. Your supervisors make decisions without calling you, and your Cell Leads are being prepared for supervision. Quality on your shift doesn't vary from the other shifts — consistency is the whole point of this layer. Problems reach the Production Manager as "here's what happened and here's what I did," not as an open question. Basic Qualifications 5+ years in production, manufacturing, warehouse, or lab operations, including 2+ years managing supervisors or team leads. Experience with full accountability for a shift or a production area of 75+ hourly employees. Track record owning daily output and quality targets, and explaining variance credibly. Experience with performance management, attendance, and employee relations for a non-exempt workforce. Working knowledge of California wage and hourly requirements for non-exempt employees. Available to own an assigned shift (day, swing, or night) onsite in Santa Clara. Preferred Qualifications Robotics, hardware, AI data collection, advanced manufacturing, or technical lab background. Experience in a quality-gated operation where output is inspected before it counts. Promoted from a supervisor role, or has promoted supervisors from their own team. Comfort pulling and interpreting your own shift data from dashboards or spreadsheets. Continuous improvement background — Lean Six Sigma, or equivalent practical experience. Bilingual (English/Spanish). Work Environment and Physical Requirements Onsite robotics lab and warehouse environment; the majority of your shift is spent on the floor. Assigned shift, with occasional cross-shift coverage during ramps, launches, and handoff issues. Must be able to stand and walk the floor for extended periods. Must be able to occasionally lift and/or move up to 25 lbs. Why This Role Matters Consistency across shifts is what turns a lab into an operation. This role is the reason the third shift produces like the first one, and the reason problems get solved on the floor instead of escalating. Benefits Included in the Offer: - Friendly Working Environment - IT Equipment - Social Activities - Global Mobility Policy - Employee Referral Program - Employee Assistant Program - Medical, Dental, and Vision Insurance - HSA & FSA - 401(k) retirement - Short & Long Term Disability Insurance - Accident, Critical Illness, Hospital Indemnity Insurance  - Telemedicine Benefit - Annual Leave - Paid Public Holidays - Maternity/Paternity Leave   Hourly Pay: $71-$81/hour.   Job Reference: #LI-JC1

разрабатывать и доводить до продакшена модели компьютерного зрения. решать задачи речевой аналитики: транскрибация звонков, диаризация спикеров, извлечение сущностей и интентов, оценка качества коммуникаций и построение аналитических витрин по разговорам;

человека с опытом Python и/или JS/TS, backend + API-интеграций; опытом работы с генерацией изображений/видео (Kling, Runway, Veo, Gemini, Flux, Seedance или аналоги);

Location: South Africa Workplace: remote About the Project  Project Hydrus is a scripted and conversational audio data collection project. We're looking for native-level speakers who can deliver natural, everyday-sounding speech — recordings that hold up whether you're reading a script or speaking spontaneously.  Please note: the recordings you produce may be used to create synthesized, AI-generated voices for conversational AI products. Full details on how your data is collected, used, shared, and retained are set out in a Consent Form, which you'll review and sign before any paid session recording begins.  What You'll Do If Selected:      - Two supervised sessions of approximately 4 hours each, guided in real time by a Session Director on a separate recording platform.      - Record scripted material in a natural, conversational tone — faithfully, without a polished, performed, or “announcer” delivery.      - Record unscripted, spontaneous speech on a given topic, matching the same warmth and pace as your scripted takes.      - Set up and manage your own recording space and equipment for session recording.      - Deliver all recordings entirely in the required language (with specific dialect), without code-switching into other languages or dialects.  What We're Looking For  Required      - Experience as a voice actor, actor, or theater performer, or a comparable performance background.      - Native or native-equivalent fluency in the required language (with specific dialect).      - Access to a quiet recording space, free of echo and background noise (acoustically treated for session recording, if selected).      - Owns or will acquire a dedicated, professional-grade microphone for the audition (e.g. RODE NT-USB Mini, Blue Yeti), upgrading to a qualifying USB condenser or XLR mic + audio interface for session recording if selected. Built-in laptop mics, AirPods, earbuds, and headsets are not accepted at any stage.      - Owns closed-back monitoring headphones (required for session recording if selected).  Comfortable both self-directing for the audition and taking live direction from a Session Director in guided sessions.  Preferred (nice to have, not required)      - Professional voice-over experience (dubbing/ADR, audiobook, podcasting) in a conversational rather than commercial/announcer register.      - Baseline audio hygiene: comfortable setting mic distance and catching noise, clipping, or distortion yourself.      - An existing home recording setup already treated for sound.  Commitment & Compensation      - Estimated time: Approximately 8 hours calibration, plus supervision across two recording sessions of ~4 hours each per participant      - Work Type - Freelance Remote     - Rate: $20.00 USD per hour   Your Data & Privacy  Before any session recording, you'll be asked to review and sign a Consent Form covering how your voice recordings are collected, used (including to train synthesized/AI voice models), shared with approved partners, retained, and how to exercise your data rights (access, correction, deletion, and more, depending on where you live). If you'd like to review these terms before applying, contact us and we'll share a copy in advance.  #L1-CC1 Why Join Welo Data?   ✨ Limitless Flexibility   Project-based opportunities that fit your availability. Choose when and how much you want to contribute—fully remote, with complete autonomy.    🌱 Limitless Growth   Optional access to AI and Large Language Model workshops designed specifically for professionals like you. No coding required—just your expertise.    🌍 Limitless Support   Be part of a global contributor community with responsive guidance and support.    💡 Real Impact   Apply your expertise in the Legal field to influence the AI systems shaping the future of your industry—while collaborating with data professionals and expanding your skills.   How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.  About Welo Data  Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.   At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

About the Client Our client is involved in an innovative data-collection project, which focuses on creating video datasets for training AI models. These AI models are designed to learn from first-person (POV) video footage. The captured videos depict real people involved in hands-on tasks with a mounted phone on their head or chest, paired with spoken narration. The purpose is to enable the model to connect visual inputs (objects, hands, actions) with audio descriptions. About the Role The Recorder role requires individuals who can master a specific hands-on activity from a selection of verticals. You will need to film yourself performing these tasks from a first-person perspective using your smartphone while ensuring the tasks are clearly visible. If fluent in English, you may narrate live; otherwise, ambient audio will suffice, and a separate narrator will cover the task later. Tasks & Deliverables — Select a mastered sub-area activity and record a complete end-to-end process. — Ensure hands and the procedure are constantly in focus. — Provide live narration if fluent in English or ambient audio for post-recording narration. — Deliver videos in MP4 format with accompanying JSON metadata. — Maintain narration density at 25 words per minute; ensure 90%+ of speech describes the setting or task steps. Required Skills — Mastery of at least one specific sub-area activity from the provided list (e.g., cleaning, laundry, organizing, pet care, repairs, gardening, sewing, woodworking, automotive repair, art, technology use, personal care, medical procedures, culinary skills, lab protocols). — Capability to record stable, clear POV videos with a smartphone. — Ability to work in a real setting without third parties in frame. — Competent in following a prepare → execute → finish script for filming tasks. Nice-to-have Skills — Experience recording tutorials or classes. — Access to various settings for diverse video backgrounds. — Owns equipment like a head/chest mount, image stabilization tools, or a good microphone. Rules — No personal data on video — no third-party faces, screens, documents, plates, addresses, mirror reflections. — 100% human narration — no TTS or synthetic voice. Engagement Details — Compensation model: Hourly paid, considering the total number of hours for approved videos. — Commitment Type: Flexible hours based on video submissions. — Duration: Ongoing, with earnings based on the number of approved videos. — Location: Remote, with flexible overlap with client's timezone. — Start Date: Immediate start upon approval of test video.

Location: Bogotá; Mexico; San José; Panama; Montevideo; Asunción; Lima; Santiago; Sucre; Quito Workplace: remote We are looking for an experienced Senior QA Engineer to own quality for our AI voice virtual agent. This role is for someone who is equally comfortable reasoning about a large language model's behavior and reading a SIP trace. You should be interested in testing non-deterministic systems. A voice agent takes a live phone call, transcribes speech that may be accented or noisy, interprets intent, reasons over an LLM, generates a spoken reply, and decides whether to resolve the request or hand it to a human—all within a latency budget callers will notice. Nothing in that chain can be validated with a simple assertion of equality, so you will design the evaluation approach that makes it testable anyway. You should also be interested in the underlying telephony. Testing this agent means placing real calls: provisioning SIP endpoints and softphones, driving calls programmatically, controlling media conditions, and distinguishing a model failure from a codec, jitter, or call-routing issue.   PLEASE SUBMIT CV IN ENGLISH. ONLY ACCEPTING CANDIDATES FROM LATAM. ADVANCED SPOKEN ENGLISH IS REQUIRED. Responsibilities Embed fully within a Scrum team , participating in all ceremonies and maintaining associated artifacts. Own the end-to-end test strategy for the AI voice virtual agent across the LLM, speech, and telephony layers. Design test scenarios for complex conversational behavior , including multi-turn dialogues, interruptions and barge-in, ambiguous or incomplete input, out-of-scope requests, human escalation/transfer, and failure recovery. Build and maintain an evaluation framework for non-deterministic output , leveraging golden datasets, semantic/rubric-based assertions, and automated regression detection for prompt, model, or retrieval changes. Adversarially test the agent against hallucinations, incorrect grounding, guardrail bypasses, prompt injections, and unauthorized disclosure of customer data. Prepare and provision SIP devices , endpoints, and call scenarios to automate call origination end-to-end. Diagnose failures across the entire stack , isolating issues down to the LLM, ASR (speech recognition), TTS (text-to-speech), media path, or call routing layer. Extend automated coverage and integrate test suites into the CI/CD pipeline to serve as release gates. Define and track core quality metrics , including task completion, containment, intent accuracy, transcription accuracy, response latency, and escalation correctness. Maintain documented test coverage in the TMS with full traceability to business requirements. Communicate and escalate quality risks to stakeholders backed by data and evidence. Requirements: 5+ years in QA , with recent hands-on ownership of a complex, integrated product. Practical experience testing SIP/VoIP systems , including call flows, SIP signaling, media handling, softphones, or SIP trunking, with the ability to troubleshoot using SIP traces or packet captures. Demonstrated creativity in test design (live scenario design will be a core part of the interview process and heavily weighted). Proficiency in Python , sufficient to independently build and maintain automation frameworks. Experience testing non-deterministic or probabilistic systems , with a clear approach to designing assertions for variable outputs. Strong analytical skills , including the ability to define quality metrics, justify their calculation, and use data to back release decisions. Hands-on experience with formal TMS tools and Jira . Professional fluency in English (spoken and written), with reliable overlap with US Eastern business hours. We use the following technologies: Python with pytest for test automation. Playwright for browser and WebRTC-based call driving. JsSIP / WebRTC for programmatic call origination and media control. SIP softphones and devices for manual and exploratory testing. Allure TestOps as our TMS, linking automated runs to documented test cases. Jira for project management and issue tracking. Jenkins & GitHub Actions for CI/CD pipelines. Grafana for quality and delivery metrics. LLM APIs and evaluation tooling — currently in active development, and we are open to any effective approach. Pluses: Direct experience testing LLM-based or conversational AI products , including evaluation frameworks and LLM-as-a-judge approaches. Familiarity with speech technologies , including ASR/transcription accuracy measurement (WER), TTS quality assessment, endpointing, and silence detection. Experience with RAG or retrieval-grounded systems , specifically in evaluating grounding correctness and context retrieval. WebRTC and media-layer testing experience , including codec behavior and performance degradation under jitter or packet loss. Background in testing IVR, contact center, or conversational IVR platforms. Multilingual testing capabilities , with emphasis on Spanish/English code-switching. Literacy in prompt engineering , sufficient to analyze system prompts and identify potential failure modes We are pleased to offer: Remote work opportunity! B2B Employment ($, gross). Stable job with long-term growth perspective. Competitive salary with annual performance review. Really good hardware. An exciting and challenging job with talented people around. Continuous learning and career growth opportunities. Compensation for professional training, seminars, and conferences. Referral program: get rewarded for helping us grow the team with talented people. Company-supported English classes to enhance your professional growth. Creativity is a core requirement for this role, not a nice-to-have. The defects that matter here are found by someone who imagines the caller who interrupts mid-sentence, switches languages halfway through, gives a partial account number, answers a different question, or deliberately tries to jailbreak the agent. Scenario design is the primary skill we are hiring for. Current State: We have automated call testing built on JsSIP/WebRTC with Python and Playwright, alongside a growing body of test scenarios. The evaluation layer—how we score responses consistently, catch regressions when a prompt or model changes, and report quality metrics leadership can act on—is where this role will have the most impact.   About us:   IDT Technologies is a part of IDT Corporation—an American telecommunications company founded in 1990 and headquartered in New Jersey. It is an industry leader in prepaid communication and payment services and one of the world's largest international voice carriers. We are listed on the NYSE, employ over 1,500 people across 20+ countries, and have revenues in excess of $1.5 billion. Net2Phone (https://www.net2phone.com/) is a global provider of unified cloud communications solutions. It offers an integrated communications suite featuring powerful collaboration tools, including voice, messaging, chat, and unlimited domestic and international calling to 23+ countries.   PLEASE SUBMIT CV IN ENGLISH

Задачи: — рекомендовать AI-решения Sonar Systems компаниям из своего окружения или находить новых потенциальных клиентов — передавать контакт и короткий контекст заинтересованных клиентов команде Sonar Systems, которая занимается демо, техническими вопросами, коммерческими предложениями, договорами и внедрением Требования: — опыт ведения переговоров и продаж — умение находить бизнес-возможности и развивать деловой нетворк — понимание бизнеса и умение общаться с руководителями (собственниками, директорами, руководителями продаж или сервиса) — роль подходит для РОПов, BDM, коммерческих директоров, предпринимателей, консультантов, маркетологов, digital/IT/CRM-специалистов Условия: — неполный рабочий день, можно совмещать с основной деятельностью — удалённый формат работы — партнёрский формат без фиксированного оклада, вознаграждение в виде комиссии после оплаты сделки клиентом — работа оформляется по договору — техническим специалистом быть не нужно, самостоятельное внедрение продукта и закрытие сложных продаж не требуется О компании и продуктах: — Sonar Systems помогает компаниям увеличивать отдачу от заявок, звонков и клиентских коммуникаций — продукты: Sonar Speech (анализ звонков и контроль качества продаж), Sonar Agent (AI-агент для сайта, мессенджеров и обращений), Sonar Lead (работа с лидами и входящими обращениями), кастомная разработка AI-решений под процессы клиента Как начать: — откликнуться на вакансию — пройти короткий созвон для знакомства с продуктами и партнёрской моделью — получить материалы для первого касания и рекомендации по поиску клиентов — рекомендовать Sonar Systems и получать комиссию с оплаченных сделок