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Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details Job Title: Speech & Voice AI Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in Italian Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

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Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details Job Title: Speech & Voice Ai Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in French Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA; Austin, TX; Illinois Workplace: onsite Overview Welo Data is looking for detail-oriented and reliable individuals to join our team as Data Labeling Analysts, supporting speech and voice AI systems. This is a high-impact production role focused on building the datasets that power real-world AI systems. You’ll be working with audio, speech, and language data — helping ensure models are trained on accurate, well-structured, and representative inputs. While this role is more execution-focused than evaluation-heavy roles, it still requires strong judgment, attention to detail, and consistency. The work sits at the intersection of language, data, and AI systems — where precision and discipline matter at scale. We’re looking for people who are dependable, focused, and take pride in producing high-quality work, even across repetitive workflows. Project Details Job Title: Data Labeling Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $28/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Los Angeles, Washington DC, Boston, Chicago , Austin. Please only apply if you meet this location requirement. What You’ll Do Execute high-volume data labeling and annotation tasks across speech and voice datasets Follow detailed guidelines to ensure consistency, accuracy, and data integrity at scale Work with audio and language data, including transcription, categorization, and tagging Maintain strong throughput while meeting quality expectations Escalate unclear or ambiguous cases appropriately Adapt to evolving guidelines and workflows as systems and requirements change Support baseline data production needs for AI training pipelines Contribute to team calibrations and quality alignment sessions What We’re Looking For Native-level fluency in Portuguese (Portugal) Strong written communication skills and language fundamentals 1 year of work experience in data labeling, annotation, or content-focused work; or a Bachelor's degree or equivalent academic qualification in a related field. Ability to follow detailed instructions and apply guidelines consistently High attention to detail and ability to maintain accuracy in repetitive tasks Comfort working in structured, process-driven environments Ability to manage time effectively and maintain steady output Willingness to ask questions and escalate when needed Basic familiarity with AI, speech technology, or language data is a plus Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Onsite Perks (where applicable): Free breakfast, lunch, and dinner Stocked micro-kitchens with snacks and beverages Commuter benefits, including shuttles and bike-to-work options Unique campus features depending on location Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This role is a critical part of how modern AI systems are built. The data you produce directly impacts how speech and voice models understand and interact with real users. It’s a great entry point into AI operations, offering exposure to large-scale systems and the opportunity to build foundational experience in data, language, and AI workflows.

Location: Hybrid - London About Vercel: Vercel is the agentic infrastructure company, freeing people and agents to ship what's next. For more than a decade we've helped builders move from idea to production with speed, security, and exceptional developer experience. Now we're scaling our products for both agents and people to ship and run software, built in the open and trusted by OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. About the Role: Vercel is hiring a Head of Commercial sales, EMEA (excl. DACH) to lead and scale our Commercial sales team across EMEA (excl. DACH). This is a high-impact leadership role for someone who thrives in a fast-paced, high-velocity environment and knows how to build the systems, culture, and talent needed to consistently hit and exceed revenue targets in the mid-market and growth segment. Commercial is one of Vercel's most important growth levers in EMEA - it's where we convert developer love and self-service momentum into contracted, expanding revenue with scaling tech companies and digital-native businesses. This leader will own that motion end-to-end: hiring and developing a team of Commercial AEs, driving pipeline efficiency, and ensuring Vercel is well-positioned to win in a competitive and fast-moving market. You'll be based in London and work closely with Marketing, SDR leadership, Solutions Engineering, and Customer Success to build a repeatable, scalable commercial sales engine across the region. If you’re based within a pre-determined commuting distance of one of our offices (SF, NY, London, or Berlin), the role includes in-office anchor days on Monday, Tuesday, and Friday. If you're located beyond that distance, the role is fully remote. For location-specific details, please connect with our recruiting team. What You Will Do: Own the EMEA Commercial sales number - pipeline, forecasting, and revenue attainment across the mid-market and growth segment Hire, onboard, and develop a team of Commercial AEs, building a culture of high activity, sharp qualification, and consistent execution Drive a high-velocity sales motion with shorter cycles, strong outbound discipline, and efficient deal management Coach AEs on territory planning, prospecting strategies, and how to sell to technical and business stakeholders at scaling companies Partner with Marketing and SDR leadership to build and convert pipeline across EMEA - inbound and outbound Develop and iterate on Commercial-specific messaging and positioning that resonates with engineering leaders and CTOs at growth-stage companies Accurately forecast and report on team activity and revenue to EMEA sales leadership Build scalable processes, playbooks, and onboarding frameworks that let the team ramp quickly and perform consistently Collaborate cross-functionally with CS, Product, and Legal to ensure smooth handoffs and strong retention in the commercial segment Identify expansion opportunities within the existing commercial customer base and coach AEs to grow accounts over time Represent Vercel at EMEA industry events, developer conferences, and customer-facing engagements About You: 3+ years of sales leadership experience in a SaaS or technical software environment, with a strong track record managing high-velocity commercial or mid-market teams Proven ability to hire, ramp, and develop commercial AEs in a competitive market Deep understanding of commercial sales motions - you know how to run a tight pipeline, coach on qualification, and keep deal velocity high without sacrificing quality Experience selling into engineering, product, or technical leadership at scaling or growth-stage companies Data-driven approach to running a team - you use metrics to identify coaching opportunities, forecast accurately, and iterate on process Hands-on leader who is comfortable being in deals, on calls, and in the weeds when your team needs it Fluency in English required; additional European language skills (French, German, Italian, Spanish and Arabic) are a strong plus given the EMEA scope Familiarity with developer tooling, frontend infrastructure, or cloud platforms is a significant advantage Familiarity with Vercel, Next.js, or the modern web development ecosystem is a plus Based in London Benefits & Compensation: Competitive compensation package, including equity. Inclusive Healthcare Package. Learn and Grow - we provide mentorship and send you to events that help you build your network and skills. Flexible Time Off. We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed. The London base pay range for this role is 300,000 - 330,000 OTE GBP. Actual salary will be based on job-related skills, experience, and location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process. Disclosures: Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data. Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

Location: Oakland, California, United States, AMER From Fivetran’s founding until now, our mission has remained the same: to make access to data as simple and reliable as electricity. With Fivetran, customer data arrives in their warehouses, canonical and ready to query, with no engineering or maintenance required. We’re proud that more organizations continue to leverage our technology every day to become truly data-driven. About Us Fivetran and dbt Labs are bringing together two industry-leading companies with a shared mission: helping organizations unlock the full value of their data. Together, we’re delivering the data infrastructure layer that helps organizations move, transform, and trust their data — from the moment data moves, through every transformation, to the context teams and AI systems rely on. Fivetran helps organizations automate data movement across the systems, clouds, engines, and tools they rely on. dbt Labs pioneered analytics engineering, helping teams transform data into reliable, governed insights. Together, we support thousands of organizations as they build a trusted foundation for analytics, AI, and better business decisions. As we bring our teams and technology together, we’re building on the strengths of both companies while continuing to deliver the products and experiences our customers know and trust. It’s an exciting time to join us: we’re creating a company with the scale, talent, and technology to help more organizations put their data to work with greater speed, confidence, and impact. During this transition period, you may see references to both Fivetran and dbt Labs throughout our recruiting process as we integrate our teams, systems, and career sites. About the Role Fivetran and dbt Labs are building data pipelines to power the modern data stack for thousands of companies. Fivetran is looking for a Principal Software Engineer to join our Platform Engineering Group, focused on building and evolving the core systems that power our data movement platform. In this role, you will define and drive the long-term technical vision for critical platform components that enable Fivetran to scale from thousands to tens of thousands of customers. You will operate at the intersection of architecture, execution, and organizational influence — solving deeply complex distributed systems challenges while shaping engineering direction across multiple teams. If you are passionate about building highly reliable, scalable systems and influencing engineering excellence at scale, this role is a strong fit. This is a full-time position based out of our Oakland office. Our hybrid work model offers a blend of remote flexibility and in-person collaboration, including two days in the office each week to connect and build as a team. Technologies You’ll Use Java (JVM, JIT, GC tuning, thread management), JUnit Claude Code Docker and Kubernetes AWS, GCP Bazel, BuildKite Observability tools (Datadog, Grafana) What You’ll Do Define Technical Strategy : Set the long-term architectural vision for core platform systems, ensuring scalability, reliability, and efficiency. Lead Complex System Design: Drive the design and evolution of large-scale distributed systems that power Fivetran’s data movement platform. Drive Cross-Team Initiatives : Lead high-impact projects spanning multiple teams, align stakeholders, and ensure successful execution. Raise the Engineering Bar : Establish best practices for system design, code quality, and operational excellence across the organization. Mentor and Influence : Guide and mentor senior and staff engineers, shaping technical decision-making beyond your immediate team. Improve Platform Performance : Identify and lead efforts to optimize system performance, reliability, and cost at scale. Champion Innovation: Evaluate and introduce new technologies and approaches to improve developer experience and platform capabilities Skills We’re Looking For Extensive Experience: 12+ years of software engineering experience, with deep expertise in building and operating large-scale distributed systems. System Design Mastery: Proven ability to design and evolve complex, scalable, and reliable platform architectures. Technical Leadership: Demonstrated experience leading cross-team technical initiatives and influencing engineering direction. Strong Programming Skills: Expertise in backend development (Java preferred) with a solid foundation in data structures and system fundamentals. Performance & Reliability: Experience optimizing system performance, scalability, and cost in high-throughput systems. Communication & Influence: Strong ability to communicate complex technical ideas and influence senior stakeholders. Ownership & Ambiguity: Track record of driving ambiguous, high-impact problems from definition to execution. Bonus Skills​ Experience in data processing (ETL, ELT) and/or cloud-based platforms Experience working in startup environments. #LI-HYBRID #LI-EM1 The compensation range displayed on this job posting reflects the minimum and maximum target for new hire compensation for the target position and level, and may include sales incentives or target bonuses depending on the role.  Our compensation ranges are determined by role, level, and location. Our job titles may span more than one career level. Within the range, individual compensation is determined by additional factors, including job-related skills, experience, relevant education or training, business need, market demands. The compensation range is subject to change and may be modified in the future. Your recruiter can share more about the specific compensation range for your location during the hiring process. Oakland Pay Range $225,813 — $282,266 USD Perks and Benefits 100% employer-paid medical insurance * Generous paid time away from work, including paid vacation or flexible/unlimited vacation depending on role and country, plus paid sick time, inclusive parental leave, paid holidays, including a year-end Global Week of Rest, and volunteer days off. RSU stock grants* Professional development and training opportunities Company virtual happy hours, free food, and fun team-building activities Monthly cell phone stipend Access to an innovative mental health support platform that offers personalized care and resources in areas such as: therapy, coaching, and self-guided mindfulness exercises for all covered employees and their covered dependents. * May vary by country and worker type - please reach out to your recruiter for more information Click here to learn more about Fivetran's Benefits by Region. We’re honored to be valued at over $5.6 billion , but more importantly, we’re proud of our core values of Get Stuck In, Do the Right Thing, and One Team, One Dream . Read about us in Forbes . Fivetran brings together high-quality talent across the globe to make data access as easy and reliable as electricity for our customers. We value and recognize that our customers benefit from having innovative teams made of people from many backgrounds, experiences, and identities. Fivetran promotes diversity, equity, inclusion & belonging through attracting, recruiting, developing, and retaining a diverse workforce, not only because it is the right thing to do, but because it helps us build a world-class company to better serve our customers, our people and our communities. To learn more about Fivetran’s culture and what it’s like to be part of the team, click here and enjoy our video. To learn more about our candidate privacy policy, you can read our statement here . We are committed to ensuring that all candidates have an equal opportunity to participate in our interview process. If you require accommodations at any stage of the process due to a disability, medical condition, or any other circumstance, please don't hesitate to submit your request by filling out this form . We will work with you to provide reasonable accommodations to facilitate your participation and ensure a fair and accessible interview experience. Your request and any information provided will be kept confidential and will not impact your candidacy. We look forward to hearing from you and accommodating your needs to the best of our ability.

Location: San Francisco; Toronto; New York; Montreal; Seattle Workplace: Hybrid ABOUT BASETEN Baseten powers mission-critical inference for the world's most dynamic AI companies, like Cursor, Notion, OpenEvidence, Abridge, Clay, Gamma, and Writer. By uniting applied AI research, flexible infrastructure, and seamless developer tooling, we enable companies operating at the frontier of AI to bring cutting-edge models into production. We're growing quickly and recently raised our $1.5B Series F https://www.baseten.co/blog/announcing-our-series-f/, led by Altimeter Capital, Conviction Partners, and Spark Capital. Join us and help build the platform engineers turn to ship AI products. THE ROLE Voice is becoming the internet’s next interface, but a production-grade Voice AI system is "hard to build" https://greylock.com/greymatter/voice-agents-easy-to-use-hard-to-build/. You’ll join a small founding team of Baseten Voice AI, focused on bringing state-of-the-art open source models into production for Voice AI customers across productivity, customer service, clinical conversation, creator tools, education, and more. You’ll make a meaningful impact on people’s daily lives and help reshape these industries. This is a high-impact, high-ownership role. You will be the primary owner of Baseten Voice AI - our in-house inference stack to power Voice AI models - from product roadmap through engineering implementation. You’ll partner closely with Forward Deployed Engineers, Model Performance Engineers, and sister engineering teams to push the boundaries of Voice AI. EXAMPLE INITIATIVES - Develop world-class model serving stack for state-of-the-art open-source voice models - reduce end-to-end and tail latency (p95/p99), increase throughput, and improve GPU efficiency via profiling, runtime tuning, and server-level optimizations. - Build large-scale, real-time infrastructure for multi-model voice agents - orchestrate STT, TTS, and agent components with streaming I/O to meet customer SLOs. - Design tight training and inference iteration loops for voice model customization - enable fast evaluation, safe rollout, and rapid experimentation for custom voice model development. - Past projects: - Baseten leads Coval’s voice AI benchmark https://www.baseten.co/blog/baseten-leads-covals-voice-ai-benchmark/ - How Notion achieved 2-3x lower latency with AI Meeting Notes https://www.baseten.co/resources/customers/how-notion-acheived-2-3x-lower-latency-with-ai-meeting-notes/ - Cost-efficient, high-performance TTS with Qwen3-TTS https://www.baseten.co/blog/cost-efficient-high-performance-qwen3-tts/ - Fine-tuning Qwen3-TTS for high-quality voice cloning https://www.baseten.co/blog/fine-tuning-qwen3-tts-for-high-quality-voice-cloning/ - The fastest Whisper — with streaming and diarization https://www.baseten.co/blog/the-fastest-whisper-transcription-with-streaming-and-diarization/ - NVIDIA Nemotron 3 Diarization: real-time speaker labels at a cent per audio hour https://www.baseten.co/blog/nvidia-nemotron-3-diarization/ RESPONSIBILITIES - Own and lead Voice AI product areas end-to-end - from architecture and system design through implementation, rollout, and long-term production operations. - Design, build, and operate real-time, large-scale, high-performance model serving systems for STT, TTS, and voice agent workloads for mission-critical customer deployments - Drive cross-team collaboration with sister engineering teams to solve full-stack technical problems, align on priorities, and coordinate end-to-end delivery across the product surface area - Mentor teammates through code reviews, design docs, and technical leadership. REQUIREMENTS - Bachelor's degree or higher in Computer Science or related field - Proven track record owning production-grade real-time, large-scale systems where tail latency (p99) matters. - Proficient coding abilities in one or more popular programming or scripting languages; Python proficiency is a plus. - Good taste in product, particularly developer-oriented tools - Interest in ML/AI infrastructure and willingness to learn - Strong collaboration and communication skills - Comfortable using AI coding assistants (e.g., Claude Code, Codex, Cursor) as a daily productivity multiplier — as an AI-native company, we see this as a must-have skill. NICE TO HAVE - Experience implementing pipeline-level model runtime optimizations such as dynamic batching, async scheduling, or decode-side throughput improvements. - Experience building developer platforms: SDKs, CLIs, APIs, and self-serve workflows for ML or infrastructure products. - Experience with containerization and orchestration technologies (Docker, Kubernetes), service meshes, or distributed scheduling. - Familiarity with speech/audio ML models (STT, TTS, speech-to-speech) - Familiarity with model-serving runtimes (vLLM, TensorRT, ONNX). - Familiarity with systems-level performance profiling across host-device boundaries (e.g. PyTorch Profiler), diagnosing GPU utilization issues - Exposure to customer-facing engineering: pre-sales prototyping, technical discovery, or working directly with customers to ship solutions. BENEFITS - Competitive compensation, including meaningful equity - (U.S. only) 100% coverage of medical, dental, and vision insurance for employee and dependents - Flexible PTO policy including company wide Winter Break (our offices are closed from Christmas Eve to New Year's Day!) - Paid parental leave - Fertility and family-building stipend through Carrot - (U.S. only) Company-facilitated 401(k) - Exposure to a variety of ML startups, offering unparalleled learning and networking opportunities. Apply now to embark on a rewarding journey in shaping the future of AI! If you are a motivated individual with a passion for machine learning and a desire to be part of a collaborative and forward-thinking team, we would love to hear from you. At Baseten, we are committed to fostering a diverse and inclusive workplace. We provide equal employment opportunities to all employees and applicants without regard to race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, or veteran status. We are an Equal Opportunity Employer and will consider qualified applicants with criminal histories in a manner consistent with applicable law (by example, the requirements of the San Francisco Fair Chance Ordinance, where applicable).

Location: San Francisco, California; New York, New York Workplace: Hybrid WHO WE ARE Notion is the collaborative AI workspace where teams and agents think together https://www.youtube.com/watch?v=vkpYpWfEK5s. We're building one place where your knowledge, projects, meetings, and AI tools live side by side, so work is faster, clearer, and less fragmented. Millions of individuals, small teams, and large companies run their work on Notion. Notinos (our employees) are customer zero in bringing this future of work to life. We care about craft, building things that last, and the belief that great work is still fundamentally human. Our goal isn’t to ship the next feature. Each and every team of Notinos is working to set the standard for how humans work together in the AI era. From building a business’s system of record to making and managing AI agents to automating away the busy work, we care deeply about giving our customers more time for their life’s work. ABOUT THE ROLE Collections Experience owns the product experience for Notion’s database block and everything on top of it: properties, views, forms, permissions, and many more features. If you’ve ever typed /database in a Notion page, you’ve already used something our team built. We’re hiring an experienced software engineer to accelerate our mission to build a flexible, reliable, and intuitive primitive that gives everyone the power to model their work exactly as they imagine— from simple lists to the most complex workflows. We’re 8+ engineers, designers, and PMs across SF and NYC. You’ll work across the stack in TypeScript, ship features that touch both the data model and the UI, and help shape where the database block goes next. WHAT YOU'LL ACHIEVE - Design and ship new database properties and views that expand what people can model in Notion - Design permission models that hold up at the scale of our largest customers - Partner with the Agent team to grow what Notion Agent can do with databases, from tool development to eval-driven iteration - Collaborate closely with product and design on features that are ambiguous up front and require strong technical judgment to scope - Raise the bar on code review, testing, and technical design across the team SKILLS YOU'LL NEED TO BRING - 10+ years shipping production software, with a strong track record of owning features end-to-end - Fluency with TypeScript across both backend and frontend - Strong product instincts: you can take a vague problem, propose a solid technical approach, and know when to cut scope - Experience on systems where data model decisions have long-lived consequences (databases, permissions, collaborative editing, or similar) - You don’t need to be an AI expert, but you’re curious and willing to adopt AI tools to work smarter and deliver better results. NICE TO HAVES: - Experience building database, spreadsheet, or workflow tools - Background in permissions or authorization systems at scale - Familiarity with AI/agent tooling, evals, or LLM-driven product experiences Notion is committed to providing highly competitive cash compensation, equity, and benefits. The compensation offered for this role will be based on multiple factors such as location, the role’s scope and complexity, and the candidate’s experience and expertise, and may vary from the range provided below. For roles based in San Francisco or New York City, the estimated base salary range for this role is $213,000 - $320,000 per year. By clicking “Submit Application”, I understand and agree that Notion and its affiliates and subsidiaries will collect and process my information in accordance with Notion’s Global Recruiting Privacy Policy https://notion.notion.site/Notion-Global-Recruiting-Privacy-Policy-fc3eb4e829354a26a2bb6fd5e289b550?pvs=74 and NYLL 144 https://notion.notion.site/Ashby-AI-Bias-Audit-2b0efdeead05803bbbfae159ec86c528. #LI-Onsite A NOTE ON AI You don’t need deep AI expertise for every role, but we do expect every Notino to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement — when that’s the case, we'll say so explicitly in the qualifications. People who thrive here don’t treat AI as a novelty. They use it to think better, and make their work easier for others to build on. EQUAL OPPORTUNITY & ACCOMMODATIONS We hire talented people from a wide range of backgrounds. If you’re excited about this role but don’t meet every bullet, we still encourage you to apply. Notion is an equal opportunity employer and does not discriminate on the basis of any legally protected characteristic. Consistent with applicable law, we will consider for employment qualified applicants with arrest and conviction records. Notion provides reasonable accommodations during the application process; if you need one, please let your recruiter know. Notion is proud to be an equal opportunity employer. We do not discriminate in hiring or any employment decision based on race, color, religion, national origin, age, sex (including pregnancy, childbirth, or related medical conditions), marital status, ancestry, physical or mental disability, genetic information, veteran status, gender identity or expression, sexual orientation, or other applicable legally protected characteristic. Notion considers qualified applicants with criminal histories, consistent with applicable federal, state and local law. Notion is also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, please let your recruiter know.

Location: Foster City, CA Workplace: Hybrid Replit is the agentic software creation platform that enables anyone to build applications using natural language. With millions of users worldwide, Replit is democratizing software development by removing traditional barriers to application creation. ABOUT THIS ROLE: Accelerate engineering velocity and reduce friction in the Replit development experience by stewarding our codebases, tooling, and developer workflows. You will directly impact every engineer who ships code at Replit. By focusing on developer experience, you will act as a force multiplier across all product development teams, enabling faster feature delivery, happier developers, and reduced operational overhead. The role combines the technical depth needed to navigate a complex, polyglot codebase with the product mindset to understand how infrastructure decisions impact developer productivity and ultimately customer value delivery. You will also partner closely with the AI team on our internal AI platform — which already generates more than 60% of all merged PRs at Replit — to improve the Agent's output and help shape strategy around the Agent's default stack. This is an early hire in this area, so you will have agency and have an accelerated career path as the team undoubtedly grows. YOU WILL: - Maintain and evolve our codebase structure — a complex TypeScript monorepo, Go services, npm packages, and internal Agentic tooling. - Own the build and test pipelines and optimize them to minimize build times and improve developer iteration speed. - Drive code generation and type-safe interfaces across service boundaries (e.g., GraphQL, Protocol Buffers, gRPC, OpenAPI). - Set the standards for code quality using automation tools such as TypeScript, ESLint, Prettier, and Go linters/formatters — building custom rules and plugins to enforce Replit-specific requirements. - Streamline development setup and the onboarding experience. - Work with platform teams to improve deployment processes, infrastructure integrations, and external tooling. - Keep things fresh and modern in our codebase by adopting and leading migrations to better and faster tools. - Partner with the AI team on our internal AI platform (which generates >60% of all merged PRs at Replit) to improve the Agent's output and shape strategy around its default stack. - Help manage dependencies both internal (public and private) and external, including being the face of the company when interfacing with open-source libraries (e.g., sponsorships, upstream contributions). REQUIRED SKILLS AND EXPERIENCE: - Strong proficiency in TypeScript and/or Go and/or Nix. - Expertise in modern build systems and toolchains (e.g., Vite, webpack, esbuild, Go's build/module system). - Proficiency with linters, formatters, testing frameworks, and code generation tools. - Experience managing monorepos or large-scale codebases. NICE TO HAVE: - Experience building self-service developer platforms (CI/CD, infra, or tooling) used by many engineering teams. - Experience with AI-native development workflows — e.g., OpenCode, Claude Code, Cursor, custom agent skills. - Open-source leadership or community contributions. This is a full-time role that can be held from our Foster City, CA office. The hybrid role has an in-office requirement of Monday, Wednesday, and Friday. Full-Time Employee Benefits Include: 💰 Competitive Salary & Equity 💹 401(k) Program with a 4% match (US Only) ⚕️ Health, Dental, Vision and Life Insurance 🩼 Short Term and Long Term Disability 🚼 Paid Parental, Medical, Caregiver Leave 🏝 Flexible Time Off (FTO) + Holidays 🚗 Commuter Benefits (In-Office & US Only) 📱 Monthly Wellness Stipend 🧑‍💻 Autonomous Work Environment 🖥 In Office Set-Up Reimbursement (In-Office Only) 🚀 Quarterly Team Gatherings ☕ In Office Amenities (In-Office Only) Want to learn more about what we are up to? - Self-driving Company https://replit.com/blog/self-driving-company - Replit Agent at Scale https://replit.com/blog/evaluating-and-improving-agent-at-scale - AI Adoption https://replit.com/blog/ai-adoption - Build Open-Source Apps https://replit.com/build/open-source-app-builder   Interviewing + Culture at Replit - Operating Principles https://blog.replit.com/operating-principles - Reasons not to work at Replit https://blog.replit.com/reasons-not-to-join-replit To achieve our mission of making programming more accessible around the world, we need our team to be representative of the world. We welcome your unique perspective and experiences in shaping this product. We encourage people from all kinds of backgrounds to apply, including and especially candidates from underrepresented and non-traditional backgrounds.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Chicago, IL; Boston, MA; Washington, D.C. Workplace: onsite Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title: Data Quality Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs — answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We’re Looking For Native-level Portuguese (Portugal) language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 2–4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA Workplace: onsite Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title: Data Quality Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs — answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We’re Looking For Native-level Spanish language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 2–4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA Workplace: onsite Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title: Data Quality Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs — answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We’re Looking For Native-level German language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 2–4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA Workplace: onsite Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title: Data Quality Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs — answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We’re Looking For Native-level Italian language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 2–4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA Workplace: onsite Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title: Data Quality Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs — answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We’re Looking For Native-level Turkish language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 2–4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Austin, TX; Los Angeles, CA; Washington, D.C.; Chicago, IL; Boston, MA Workplace: onsite Welo Data is looking for experienced, detail-oriented professionals to join our team as Data Quality Analysts. This role sits at the center of execution and quality — bridging Data Labeling Associates (DLAs) and Team Leads to ensure work is not only completed, but done right. You'll work closely with both people and AI systems — auditing outputs, supporting day-to-day execution, and helping teams apply guidelines correctly in fast-moving, real-world scenarios. The work combines data quality, light project coordination, and hands-on training, where your ability to guide others and think critically is just as important as your own output. Project Details Job Title: Data Quality Analyst Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $38/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Support quality and execution across DLA teams, ensuring work meets defined standards at scale Audit DLA outputs and provide structured, actionable feedback to improve accuracy and consistency Act as the first line of support for DLAs — answering questions and helping interpret guidelines Help DLAs navigate ambiguity and apply evolving instructions effectively Support onboarding and training of new DLAs through hands-on guidance and coaching Monitor workflows, queues, and blockers — escalating risks and gaps to Team Leads Identify patterns, recurring issues, and edge cases in both human and model outputs Participate in calibrations, team discussions, and stakeholder syncs Contribute to improving guidelines, processes, and overall team performance Document findings and feedback in a clear, concise, and actionable way What We’re Looking For Native-level language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 2–4 years of experience in data annotation, content quality, QA, or related fields Strong ability to interpret and apply complex guidelines with consistency Excellent attention to detail with a high bar for quality Ability to stay consistent while working with evolving guidelines and priorities Experience in AI/ML data workflows or human-in-the-loop evaluation environments Prior experience auditing or reviewing the work of others Familiarity with safety, compliance, or policy-driven content evaluation Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Portuguese (Brazil) proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Portuguese (Portugal) language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Turkish language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Spanish language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program.     As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them. www.welocalize.com   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.