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Location: United States, Santa Monica, CA Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. This is a hybrid/ onsite position. For nearly 40 years, Naughty Dog has been crafting best-selling, critically acclaimed games that constantly push the boundaries of narrative, gameplay, and technology. Naughty Dog recently released The Last of Us Part II Remastered as well as a current generation remake of The Last of Us Part I for the PS5. We're also proud to say that The Last of Us Parts I and II are now available for the first time on PC. Currently, we’re busy at the kennel working on Intergalactic: The Heretic Prophet, and we’d love to find talented individuals to join us. Naughty Dog games have long been lauded for their evocative, character-driven stories and attention to detail. We are committed to innovation within our games and as such have curated some of the top creative and technically innovative minds in the industry. We welcome diverse candidates and believe that a broad range of cultural and life experiences contribute to the overall well-being and success of the studio and the titles we craft together. What you will do: Prototyping, implementing, and owning gameplay scenarios, narrative sequences, interactive objects, AI behaviors, and other mechanics and systems. Communicating with animation, programming, and art departments to effectively produce the assets and code support required for the areas you’re owning. Fostering team cohesion, advising design leadership regarding communication breakdowns and personality conflicts. Working with minimal supervision while keeping lead designers and directors well-informed. What skills you will use: 5+ years of industry experience in Technical Design for games 2+ shipped games Significant programming ability (Computer Science undergraduate degree preferred) Deep understanding of narrative principles and how to convey emotion through gameplay Expertise in 3D math Fluent in C++, C#, Lua, or other text-based scripting language Ability to identify and act on opportunities for improvements to tools and workflows that can help the team be more efficient Self-starter with excellent communication and teamwork skills Bachelors degree or equivalent Bonus Skills: Experience developing third-person action games Experience with the following areas of design Behavior Trees Narrative Gameplay Sequences Encounter Design #LI-SP3 The estimated USA base pay range for this zone (Los Angeles area) is listed below. This role may be eligible for additional compensation packages that includes annual bonus and other incentive plans. $145,100 — $181,400 USD Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: Ireland, Dublin Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. Why Join Us? Be part of a team building brand new tools and platforms used by thousands of developers worldwide. We foster a diverse, inclusive culture where innovation, learning, and collaboration are at the core of everything we do. The role We are looking for a strong Software Development Manager to lead high-impact teams within the PlayStation SDK Developer Host Tools division. This role requires a balanced leader, someone who can manage a high-performing team, while also maintaining strong technical depth to guide architecture, review designs, and support engineers at a code level when needed. You will operate across both backend distributed systems and web-based and/or native frontends, helping to shape solutions that are both technically sound and highly usable for developers. What you’ll be doing Support, encourage, and help develop a team of engineers, fostering a positive and collaborative work environment Assist with technical discussions and contribute to code reviews and system design Work together with other groups and teams across different time zones Help carry out the team's goals and follow the established plans Manage daily tasks while keeping in mind the team’s long-term objectives Promote a strong developer experience by focusing on ease of use, performance, and reliability Recognize challenges, help remove obstacles, and clarify tasks in situations that are not well defined What we are looking for Must have 7–10 years of overall software engineering experience with 3–5+ years of experience managing engineering teams. Strong technical background with hands-on understanding of backend/platform fundamentals Ability to operate at code-level depth when needed (design reviews, debugging, guiding engineers) Proven experience designing and delivering complex, distributed systems Track record of building and scaling high-performing engineering teams Experience working on developer tools, internal platforms, or productivity systems Strong ability to influence and align stakeholders across teams Excellent communication skills across both technical and non-technical audiences Ability to operate effectively in fast-moving, ambiguous environments Nice to have Solid grasp of frontend systems, including JavaScript, React, and React Native Familiarity with AI/ML-driven workflows or developer tooling Background in performance profiling and developer ecosystems Skilled in C# and .NET technologies Experience with low-level languages such as Rust and C++ At SIE, we consider several factors when setting each role’s base pay range, including the competitive benchmarking data for the market and geographic location. Please note that the base pay range may vary in line with our hybrid working policy and individual base pay will be determined based on job-related factors which may include knowledge, skills, experience, and location. In addition, this role is eligible for SIE’s top-tier benefits package that includes paid time off, wellness program and coveted employee discounts for Sony products. This role also may be eligible for a bonus package. Click here to learn more. The estimated base pay range for this role is listed below. €96.900 — €145.300 EUR Please note, Sony Interactive Entertainment conducts background checks at the offer stage for all new employees (which may include criminal background checks for some roles) and will need to process personal information to support these checks. Please refer to our Candidate Privacy Notice for more information about what personal information we collect, how we use it, who we share it with, and your data protection rights. Equal Opportunity Statement: Sony is an Equal Opportunity Employer. All persons will receive consideration for employment without regard to gender (including gender identity, gender expression and gender reassignment), race (including colour, nationality, ethnic or national origin), religion or belief, marital or civil partnership status, disability, age, sexual orientation, pregnancy, maternity or parental status, trade union membership or membership in any other legally protected category. We strive to create an inclusive environment, empower employees and embrace diversity. We encourage everyone to respond. Sony Interactive Entertainment is a Fair Chance employer and qualified applicants with arrest and conviction records will be considered for employment.

Location: San Francisco, CA | Seattle, WA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role Anthropic's production models undergo sophisticated post-training processes to enhance their capabilities, alignment, and safety. Decisions in production training depend on knowing how the model is really behaving. Our team's mission is to have the best observability into production post-training runs at Anthropic: to be the clearest, most trusted view of model quality during training. We shape what gets measured, keep the signal trustworthy and timely, and get to the bottom of surprising results to inform post-training and release decisions. In this role you will lead the science of how we evaluate production training runs. You'll work out which measurements tell us something real about the model, notice when they stop doing so, and find what we should be measuring but aren't. You'll partner with research teams across every RL domain, bringing their priorities into what we measure and setting the standard for what makes an eval trustworthy across post-training. You'll also be hands-on with the eval fleet day to day, because the best questions about measurement come from watching real results come in during a live run. Responsibilities Steer the eval strategy for production Claude models: study and optimize the eval mix so it gives the most accurate and complete assessment of model quality Run and monitor the eval fleet live to understand how each Claude model is developing as it trains Advise teams across post-training on eval methodology, and help eval authors bring new evals up to the bar for production Investigate regressions in production runs and inform training interventions when appropriate Build the dashboards, alerts, and reports that researchers and leadership use to track model quality You may be a good fit if you Have designed, run, and analyzed evaluations for ML models at scale Care deeply about measurement quality, thinking twice before trusting a number Can turn ambiguous results into clear recommendations, and are comfortable influencing direction across teams Have strong Python skills and are comfortable working with production systems Maintain clarity and rigor when debugging complex, time-sensitive issues Thrive in controlled chaos and are energized, rather than overwhelmed, when juggling multiple urgent priorities during a live training run Care about the societal impacts of your work and about shipping frontier models responsibly Strong candidates may also have Hands-on experience post-training large language models Research experience in ML evaluation or benchmarking Background in statistics and experimental design Experience developing robust evaluation metrics for ML systems The annual compensation range for this role is listed below. For sales roles, the range provided is the role’s On Target Earnings ("OTE") range, meaning that the range includes both the sales commissions/sales bonuses target and annual base salary for the role. Annual Salary: $500,000 — $850,000 USD Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.

Location: Bosnia and Herzegovina; Greece; Poland; Bulgaria; Finland; North Macedonia About Huzzle At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the Company This growing eCommerce email marketing agency helps Shopify and WooCommerce brands scale retention revenue through advanced email marketing strategies. The team works exclusively with product-based businesses that already have established email lists, using Klaviyo as their core platform to drive performance through campaigns, flows, and segmentation. Job Summary We are hiring a client-facing Email Account Executive with strong, hands-on experience in Klaviyo to manage multiple eCommerce accounts. This is a remote email marketing role focused on retention and lifecycle marketing—not outbound or cold outreach. You will be responsible for managing client relationships, developing strategy, overseeing campaign execution, and driving measurable results through data-driven email marketing. Key Responsibilities Manage client accounts, owning strategy and performance Lead weekly client calls, present insights, and handle feedback professionally Build, manage, and optimize campaigns and flows within Klaviyo Create campaign briefs, oversee execution, and QA emails before sending Monitor performance daily and track key KPIs (open rate, click rate, bounce rate, revenue per recipient) Identify underperforming campaigns and implement data-driven improvements Propose and execute A/B tests, segmentation strategies, and new lifecycle flows Collaborate with designers and internal teams to ensure high-quality, on-time delivery Requirements Proven, hands-on experience with Klaviyo (campaigns, flows, segmentation, reporting) Experience managing multiple eCommerce/DTC accounts simultaneously (agency experience preferred) Strong background in email marketing for product-based brands Confident leading client-facing strategy calls and driving decisions Excellent written and verbal communication skills Strong project management and ability to handle multiple deadlines Analytical mindset with the ability to translate data into actionable insights High ownership, accountability, and attention to detail Familiarity with tools like ClickUp, Notion, Slack Understanding of eCommerce metrics (AOV, LTV, CVR, retention) and lifecycle marketing Copywriting or copy-review experience for email campaigns Exposure to Omnisend, CRO, or paid traffic alignment Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

Location: North Macedonia; Romania; Albania; Poland; Bulgaria; Finland About Huzzle At Huzzle, we connect high-performing B2B sales professionals with global companies across the UK, US, Canada, Europe, and Australia. Our clients include startups, digital agencies, and tech platforms in industries like SaaS, MarTech, FinTech, and EdTech. We match top sales talent to full-time remote roles where they’re hired directly into client teams and provided ongoing support by Huzzle. Role Type: Full-time Engagement: Independent Contractor About the Company This growing eCommerce email marketing agency helps Shopify and WooCommerce brands scale retention revenue through advanced email marketing strategies. The team works exclusively with product-based businesses that already have established email lists, using Klaviyo as their core platform to drive performance through campaigns, flows, and segmentation. Job Summary We are hiring a client-facing Email Account Executive with strong, hands-on experience in Klaviyo to manage multiple eCommerce accounts. This is a remote email marketing role focused on retention and lifecycle marketing—not outbound or cold outreach. You will be responsible for managing client relationships, developing strategy, overseeing campaign execution, and driving measurable results through data-driven email marketing. Key Responsibilities Manage client accounts, owning strategy and performance Lead weekly client calls, present insights, and handle feedback professionally Build, manage, and optimize campaigns and flows within Klaviyo Create campaign briefs, oversee execution, and QA emails before sending Monitor performance daily and track key KPIs (open rate, click rate, bounce rate, revenue per recipient) Identify underperforming campaigns and implement data-driven improvements Propose and execute A/B tests, segmentation strategies, and new lifecycle flows Collaborate with designers and internal teams to ensure high-quality, on-time delivery Requirements Proven, hands-on experience with Klaviyo (campaigns, flows, segmentation, reporting) Experience managing multiple eCommerce/DTC accounts simultaneously (agency experience preferred) Strong background in email marketing for product-based brands Confident leading client-facing strategy calls and driving decisions Excellent written and verbal communication skills Strong project management and ability to handle multiple deadlines Analytical mindset with the ability to translate data into actionable insights High ownership, accountability, and attention to detail Familiarity with tools like ClickUp, Notion, Slack Understanding of eCommerce metrics (AOV, LTV, CVR, retention) and lifecycle marketing Copywriting or copy-review experience for email campaigns Exposure to Omnisend, CRO, or paid traffic alignment Benefits 💻 Fully Remote: Work from anywhere with international teams 🚀 Career Growth: Join companies in SaaS, MarTech, and B2B services 🤝 Peer Community: Connect with high-performing sales professionals in our network 🧭 Ongoing Support: Receive guidance from Huzzle before and after placement 💰 Tailored Compensation: Salaries vary by client and candidate preference — we’ll match you with options that fit your goals

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; Chicago, IL 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 Finnish 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: 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 Polish 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: 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; Illinois; Austin, TX 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 Swedish 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: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Washington, D.C.; Los Angeles, CA; Boston, MA; Chicago, IL 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 Dutch 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: 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; Chicago, IL; Massachusetts; Austin, TX 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 Danish 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: 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: 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, Chicago, Austin, 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 Spanish 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: 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) Hourly Pay Rate: 28 usd 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 German 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 Job reference: #L1-CC1 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: 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.

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: New York, United States Assistant Project Manager Luxury Residential Construction | NYC Tri-State Area Our client is a well-established General Contractor specializing in high-end residential construction and renovation in Manhattan and the surrounding Tri-State area. Their portfolio includes townhouses, condominiums, and private residences built to the highest standards of craftsmanship and finish. They are seeking an Assistant Project Manager to support a Project Manager on one or more active projects. Role Summary The Assistant Project Manager is the lead administrative partner to the Project Manager, responsible for the orderly flow of information between the GC, subcontractors, vendors, and the design team. The APM owns the project documentation, supports budget and schedule tracking, and helps drive day-to-day coordination from pre-construction through close-out. Key Responsibilities Maintain project schedules and flag potential delays to the Project Manager and Superintendent. Manage the RFI, submittal, and shop drawing process, including logs and follow-up. Prepare and track change orders, commitment documents, and subcontractor agreements. Support trade buy-out and proposal development; assist with minor scope buy-outs directly. Reconcile job costs against budget and coordinate with accounting on client invoicing. • Maintain drawing sets, specifications, and all project files in both physical and electronic form. Prepare meeting agendas, attend job site and client meetings, and produce meeting minutes. Produce daily logs and transmittals; keep documentation current and accessible. Assist with punch list development and close-out deliverables, including owner manuals. Interface with the design team, subcontractors, and suppliers to keep the project moving. Qualifications 1-3 years of experience as an Assistant Project Manager in high-end residential or comparable commercial construction. Bachelor's degree in Construction Management, Architecture, Engineering, or a related field preferred. Working knowledge of construction terminology and the ability to read and interpret drawings and specifications. Proficiency in Procore, Microsoft Project, Excel, Word, and Outlook. Familiarity with Bluebeam, AutoCAD, or similar drawing tools is a plus. Strong written and verbal communication skills; comfortable with design teams and sophisticated clients. Highly organized, detail-oriented, and able to manage multiple priorities across overlapping projects. Team-oriented with a professional presence on the job site and in the office. Salary: $75,000 – $100,000 / year

Location: Hong Kong Nex is on a mission to help families rediscover the joy of movement. Created by parents for parents, Nex combines technology and play to deliver fun, social, and interactive experiences powered by natural body motion, encouraging kids and adults to move more, play more, and have fun together. Nex Playground, the company’s award-winning active play system, is purpose-built to get families moving year-round, with safety and privacy as core considerations in its intentional design. It is certified kidSAFE+ COPPA compliant and built to support healthy, active play for all ages and abilities. Nex Playground features a growing library of 50+ experiences, including motion and dance games, fitness and educational experiences, and Nex Originals. Content includes collaborations with partners like Hasbro, Sesame Workshop, and NBCUniversal. Nex has been recognized by Fast Company’s Most Innovative Companies, TIME’s Best Inventions, and Parents’ Best Entertainment System for Families, and has earned Red Dot, IDEA, and Core77 international design awards. We encourage you to explore Have Fun and Is Motion Gaming Back? , as they offer a deeper look into our culture, values, and explain how our approach to motion gaming differs from previous generations. Nex employees may be expected to collaborate with colleagues across different time zones. Depending on the role and location, occasional travel may also be required for company events, external meetings, and other business-related activities. Important Notice: ⚠️ To protect yourself from recruitment scams, please note that Nex communicates through official company emails ending in @nex.inc . If you receive a suspicious email or message, please do not respond and report it immediately to us. Location: Hong Kong Reports to: Director, Manufacturing and Sourcing The Role At Nex, we move fast. This role upstream sourcing strategy and execution for critical ICs / memory (e.g., SoC, camera modules, memory). Partner with principals to secure design/development support, allocation, pricing, and Nex-preferred contracts . Ensure cost competitiveness, supply continuity, and resilience as we scale Playground hardware globally. At Nex, we move fast. This role upstream sourcing strategy and execution for critical ICs/memory (e.g., SoC, camera modules, memory). Partner with principals to secure design/development support, allocation, pricing, and Nex-preferred contracts . Ensure cost competitiveness, supply continuity, and resilience as we scale Playground hardware globally. What You'll Do Upstream Partnerships, Pricing & Forecasting Build and manage strategic supplier relationships for assigned commodities. Drive pricing strategy, negotiations, and locked-in commercial terms (cost models, should-cost, allocation guarantees). Establish forecasting cadence with internal stakeholders and suppliers; translate demand signals into supply plans. Drive alignment on lead times, MOQs, allocation strategy, and upside planning. Supply Resilience & AVL Management Build and maintain an Approved Vendor List (AVL) for critical components. Plan and execute dual-sourcing / second-source qualification, including risk assessments and readiness gates. Identify critical point-of-failure risks and implement mitigation plans (supply, capacity, geopolitical, and quality risks). Core Component Strategy (SoC / Camera / Memory) Shape commodity strategy and supplier selection recommendations for core technologies (e.g., SoC, camera, memory). Collaborate with engineering and quality on supplier capability assessment, qualification planning, and change control. Track roadmaps and ensure sourcing decisions support product performance, cost, and schedule. Allocation & Execution Secure priority allocation during shortages; manage lead times and supply ramps. Track supplier KPIs (OTD, yield, quality); drive continuous cost/efficiency improvements. What You Bring Bachelor's in Supply Chain, Engineering, or Business (Master's preferred). 5–10+ years sourcing / supplier management in consumer electronics / hardware; IC / memory / SoC experience essential. Proven commercial negotiation, cost analysis, and multi-sourcing track record. Cross-functional collaboration with engineering/operations in fast-paced settings. We Offer Competitive compensation package. Flexible working hours and vacation policy. Product-driven culture that treasures talents and individual growth. Front-row seat and hands-on experience with cutting edge technologies in the evolving gaming field Nex is located in San Jose, California, USA and Hong Kong . Learn more about us at https://www.nexplayground.com/about . We encourage applications even if you don’t meet more than 50% of the requirements — we believe that experience comes in many forms! Nex is an equal opportunity employer and does not discriminate on the basis of race, color, religion, sex (including pregnancy, childbirth, gender identity, and sexual orientation), national origin, ancestry, age, physical or mental disability, medical condition, genetic information, marital status, military or veteran status, or any other characteristic protected by applicable law. This policy applies to all individuals at every stage of the employment relationship, including all current and prospective employees, and covers all employment decisions including recruitment, hiring, job assignment, promotion, compensation, benefits, training, discipline and termination. We are committed to providing a workplace free from discrimination and harassment and to fostering an inclusive environment for all employees.

Location: North America; Europe Workplace: Remote At Linear, we're building the product development system for teams and agents. AI is fundamentally changing how software gets built, and we’re shaping the tools this new era requires. Founded in 2019, Linear has become the platform of choice for more than 40,000 companies (including OpenAI, Coinbase, and Ramp) to plan, build, and ship their products. Today, our team is distributed across North America, Europe, and Australia, and we’re continuing to grow internationally. What unites us is relentless focus, fast execution, and a deep care for software craftsmanship. Linear is becoming a much broader product than people realize. With agents, mobile workflows, and new modalities, there’s a growing gap between what Linear can do and what people think it can do. This role exists to close that gap. We’re looking for someone who will live inside the product, discover what’s possible, and show the world. That means figuring out the most compelling use cases for Linear’s AI agent, demonstrating real workflows that teams can adopt, and getting those stories out through whatever format works best, whether that’s a tweet, a video, a blog post, or a live demo at a conference. The goal is to help people understand what they can actually do with Linear and make that feel concrete and exciting. Think of it as a product-obsessed marketer who is genuinely technical and knows how to communicate with depth. Location & work mode Linear is a remote-first company, with optional co-working offices in San Francisco, New York, and London. This role is open to candidates based in the US and Europe. You can work from anywhere within those regions. We value deep focus and async collaboration, with intentional moments to connect in person through team off-sites, optional co-working, and occasional travel. What you’ll do - Deeply understand Linear’s product, especially our AI agent and newer capabilities, and continuously discover productive, real-world use cases that teams would care about - Create content that demonstrates those use cases, whether that’s short-form social, blog posts, video walkthroughs, or live demos. Format follows the story, not the other way around - Build relationships with engineering and product-focused creators and collaborate on content that feels authentic rather than sponsored - Work with our video team to produce technical product content that comes across with genuine depth - Partner with support, sales, and product on developer-facing documentation and educational content - Stay plugged into the conversations happening on X, in newsletters, and at events, and make sure Linear has a voice in the ones that matter What we’re looking for - Someone technical. You get code, understand how software gets built, and can talk about it credibly - Deep product intuition. You’re the kind of person who picks up a tool and immediately starts exploring what’s possible. You think in workflows and use cases rather than features - Comfortable on camera and on stage. You can demo a product, record a walkthrough, or speak at a conference without it feeling forced. - Twitter/X smart. You know how to use the platform, you understand what’s interesting to the people we’re trying to reach, and you can participate in the conversation with credibility - Curious and self-directed. You’re already finding the next interesting thing to talk about on your own, already following the right people and noticing the opportunities - Able to create video content end to end. You should be able to script, record, and edit a product walkthrough or demo without needing to hand it off to someone else What we offer We're a small, focused team that cares deeply about the quality of our work and the people we do it with. Here's what you can expect: - Competitive salary and equity - Employee-friendly equity terms including early exercise in the US and extended exercise windows - Daily meal and coffee stipend on every workday - Paid co-working space or desk - Health coverage (based on country requirements) - 5 weeks paid vacation, plus local statutory holidays - 4 months paid parental leave - Paid month off after 4 years & every 2 years thereafter - Regular team events and off-sites - Remote-first with no required commute Learn how we think and work - A story about our mission: Read Me https://linear.app/readme - Our hiring process: How we hire at Linear https://linear.app/now/how-we-hire-at-linear - How we work: Designing remote work at Linear https://linear.app/now/designing-remote-work-at-linear - Our CEO and co-founder, Karri at 20VC: How to Grow Capital Efficiently in a World of BS Growth https://www.youtube.com/watch?v=4vqDYkuzbSM - Make an Org Chart You Want to Ship — Advice from Linear on How Heirloom Tomatoes Should Inspire Team Design https://review.firstround.com/make-an-org-chart-you-want-to-ship-advice-from-linear-on-how-heirloom-tomatoes-should-inspire-team-design/ - Building our teams: Why and how we do work trials at Linear https://linear.app/blog/why-and-how-we-do-work-trials-at-linear - A video series: Conversations on Quality https://linear.app/quality - Our recent tender offer: Sharing Linear’s growth with the people building it https://linear.app/now/sharing-growth-with-the-people-building-linear Linear is an equal opportunity employer. We do not discriminate based on race, color, religion, gender identity or expression, sexual orientation, national origin, age, disability, veteran status, or any other protected characteristic under applicable law. A note on recruitment fraud: all official Linear hiring communication comes from an @linear.app http://linear.app email address, and all open roles are listed at linear.app/careers http://linear.app/careers. We never ask candidates for payment or financial information. Suspicious messages can be reported to security@linear.app.

Location: London, UK; Ontario, CAN; Remote-Friendly, United States; San Francisco, CA About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. Anthropic Fellows Program overview The Anthropic Fellows Program is designed to foster AI research and engineering talent. We provide funding and mentorship to promising technical talent - regardless of previous experience. Fellows will primarily use external infrastructure (e.g. open-source models, public APIs) to work on project aligned with our research priorities, with the goal of producing a public output (e.g. a paper submission). In one of our earlier cohorts, over 80% of fellows produced papers. We run multiple cohorts of Fellows each year and review applications on a rolling basis. Submit your application to the Economics & Policy workstream at the bottom of this page. We are accepting applications on a rolling basis for the next cohort expected to start in January 2027. In some circumstances, we can accommodate fellows starting outside the usual cohort timelines — please note in your application if the January 2027 start date doesn't work for you. What to expect 4 months of full-time research Direct mentorship from Anthropic researchers Weekly stipend of 3,850 USD / 2,310 GBP / 4,300 CAD + benefits (these vary by country) Substantial funding for compute and other research expenses Interview process The interview process will include an initial application, assessments, and interviews. We may ask for references later in the process as well. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed. Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Compensation The expected base stipend for this role is 3,850 USD / 2,310 GBP / 4,300 CAD per week, with an expectation of 40 hours per week for 4 months (with possible extension). The Anthropic Institute Fellows (Economics & Policy) Mentors, research areas, & past projects Fellows will undergo a project selection & mentor matching process. Potential research areas and mentors include: Economics Maxim Massenkoff Peter McCrory Policy, Security, and Society Jack Clark Marina Favaro Jim Baker Projects in this workstream may include: Designing and conducting empirical research on AI's economic effects, drawing on external data sources Developing new methodological approaches for studying AI's impact on labor markets, the future of work, and society Analysing the offense–defense balance for AI-enabled cyber and bio capabilities as models scale Measuring the extent to which model performance increases with custom harnesses Identifying market driven mechanisms that could improve societal resilience to anticipated threats from AI systems Identifying which metrics relating to AI R&D could serve as early warning signals for recursive self-improvement For past project examples, see: How AI Impacts Skill Formation : Judy Shen and Alex Tamkin Stress-Testing Model Specs Reveals Character Differences among Language Models : Jifan Zhang, Henry Sleight, Andi Peng, John Schulman, and Esin Durmus Unique candidate criteria You might be a particularly great fit for this workstream if you: Have an interest in economics or policy research; prior experience in this area is a plus but not required Are adaptable and collaborative, able to take direction and contribute to team priorities rather than needing to pursue a predetermined research agenda Are skilled at writing up and communicating your results, even when they're null or unexpected Are passionate about translating research insights into actionable recommendations for improving AI systems and informing policy You may be a good fit if you: Are motivated by making sure AI is safe and beneficial for society as a whole Are excited to transition into AI research and would be interested in a full-time role at Anthropic Strong track record of empirical research Thrive in fast-paced, collaborative environments Can implement ideas quickly and communicate clearly Candidates must be: Fluent in Python programming Available to work full-time on the Fellows program Logistics - Fellows Program Submit your application to the Anthropic Institute Fellows at the bottom of this page. Logistics Requirements: To participate in the Fellows program, you must have work authorization in the US, UK, or Canada and be located in that country during the program. Workspace Locations: We have designated shared workspaces in SF. We are also open to remote fellows in the UK, US, or Canada . Visa Sponsorship: We are not currently able to sponsor visas for fellows. To participate in the Fellows program, you need to have or independently obtain full-time work authorization in the UK, the US, or Canada. Program Duration: The program runs for 4 months, full-time. If you can't commit to the full duration, please still apply and note your constraints in the application. We review these requests on a case-by-case basis. The below are Anthropic's policies for full time roles. These do NOT apply to the Fellows Program. Logistics Minimum education: Bachelor’s degree or an equivalent combination of education, training, and/or experience Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position Location-based hybrid policy: Currently, we expect all staff to be in one of our offices at least 25% of the time. However, some roles may require more time in our offices. Visa sponsorship: We do sponsor visas! However, we aren't able to successfully sponsor visas for every role and every candidate. But if we make you an offer, we will make every reasonable effort to get you a visa, and we retain an immigration lawyer to help with this. We encourage you to apply even if you do not believe you meet every single qualification. Not all strong candidates will meet every single qualification as listed.  Research shows that people who identify as being from underrepresented groups are more prone to experiencing imposter syndrome and doubting the strength of their candidacy, so we urge you not to exclude yourself prematurely and to submit an application if you're interested in this work. We think AI systems like the ones we're building have enormous social and ethical implications. We think this makes representation even more important, and we strive to include a range of diverse perspectives on our team. Your safety matters to us. To protect yourself from potential scams, remember that Anthropic recruiters only contact you from @anthropic.com email addresses. In some cases, we may partner with vetted recruiting agencies who will identify themselves as working on behalf of Anthropic. Be cautious of emails from other domains. Legitimate Anthropic recruiters will never ask for money, fees, or banking information before your first day. If you're ever unsure about a communication, don't click any links—visit anthropic.com/careers directly for confirmed position openings. How we're different We believe that the highest-impact AI research will be big science. At Anthropic we work as a single cohesive team on just a few large-scale research efforts. And we value impact — advancing our long-term goals of steerable, trustworthy AI — rather than work on smaller and more specific puzzles. We view AI research as an empirical science, which has as much in common with physics and biology as with traditional efforts in computer science. We're an extremely collaborative group, and we host frequent research discussions to ensure that we are pursuing the highest-impact work at any given time. As such, we greatly value communication skills. The easiest way to understand our research directions is to read our recent research. This research continues many of the directions our team worked on prior to Anthropic, including: GPT-3, Circuit-Based Interpretability, Multimodal Neurons, Scaling Laws, AI & Compute, Concrete Problems in AI Safety, and Learning from Human Preferences. Come work with us! Anthropic is a public benefit corporation headquartered in San Francisco. We offer competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space in which to collaborate with colleagues. Guidance on Candidates' AI Usage: Learn about our policy for using AI in our application process.