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Location: Remote, Worldwide; Remote - Europe Workplace: remote About Welo Life Sciences  Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications.  welolifesciences.com About the Role We are looking for experienced Spanish (Spain) to English (GB or US) linguists to support a high-volume, fast-turnaround pharmacovigilance program for a leading global pharmaceutical company. Work involves translating and reviewing safety and regulatory content, including adverse event reports and related clinical documentation, with strict turnaround times and deadlines.  This is an ongoing freelance engagement with daily volumes. Key Responsibilities Translate Pharmacovigilance and/or Clinical-regulatory content from Spanish into English. Perform Machine Translation Post-Editing (MTPE) on machine-translated safety content. Perform Copy Edit review of translated/post-edited content for accuracy, tone, and consistency. Meet strict, non-extendable turnaround times on time-sensitive safety content. Requirements Degree in translation, linguistics or languages studies or an equivalent degree that includes significant  translation training. Minimum 2 years of professional experience translating medical documentation, specificially with experience and knowledge in Pharmacovigilance and/or Clinical-Regulatory content. Experience translating pharmacovigilance content preferred: SAE/AE (serious and non-serious adverse events), PSURs, SUSARs, ICSRs, DSURs, Risk Management Plans (RMP). Alternatively, experience translating regulatory or clinical documents: medical reports, protocols, synopses, ICF, discharge reports, study reports, SmPC, PIL, or medical literature. Great daily availability: this program requires consistent daily capacity and is not suited to part-time schedules. Strong Spanish proficiency; native level of English preferred but not mandatory. Experience with XTM or similar CAT tools. Reliable, deadline-driven, and flexible, able to commit to fast turnaround times with no extensions. Nice to Have Healthcare professional (HCP) background: nurse or physician preferred, especially with emergency room experience. Other HCP backgrounds also welcome. Willingness to commit to daily and/or weekend availability. Tools & Systems CAT tool: XTM, client-provided license; onboarding and connector setup provided after onboarding.   Job Reference: #LI-JC1

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Location: Myanmar; Remote, Worldwide Workplace: remote About Welo Global  Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com  The Role Welo Global is seeking experienced Burmese (Myanmar) Linguists and Copy Editors to support an exciting, long-term project with a leading multinational company. This is an ongoing freelance and remote position. Agencies are welcome to apply to this great opportunity! Project Details Location: Remote Expected Volume: 5000+ words per week Employment Type: Freelance/Independent Contract Task Type: Translation, Copy-Editing and MTPE Content Types: Marketing, UI, Product, Support, Informational and Legal CAT Tool: Client-specific CAT tool (training provided during onboarding) Requirements Native or near-native proficiency in Burmese (Myanmar) with excellent command of English 2+ years of professional translation experience with a degree in Translation, Linguistics, or a related field or 5+ years of professional translation experience without a formal translation degree Demonstrated experience translating English to Burmese across a variety of content types, including informational, marketing, UI, product, and support content Experience using CAT tools Excellent attention to detail and a proven ability to deliver high-quality translations while meeting deadlines in a fast-paced localization environment Strong communication skills, responsiveness, reliability, and openness to feedback and revisions Join a global network of linguists, benefit from ongoing support and training, collaborate on high-visibility international projects, and build a long-term partnership with Welo Global. If this opportunity sounds like a great fit, we encourage you to submit your details below. We look forward to connecting with you!   Job Reference: #LI-JC1

Location: Remote, Worldwide Workplace: remote About Welo Life Sciences  Welo Life Sciences, a Welo Global brand, is a specialized language and technology partner serving pharmaceutical, CRO, and medical device organizations operating in regulated global markets. We deliver regulator-ready translation, linguistic validation, and localization solutions that support clinical trials, pharmacovigilance, regulatory affairs, labeling, and global commercialization. Our approach combines subject matter expertise with ISO-certified quality processes and technology-enabled workflows designed to integrate seamlessly into life sciences operations. With extensive experience supporting global product development and post-market requirements, Welo Life Sciences helps organizations accelerate timelines, protect data integrity, and maintain compliance across languages and regions. All solutions are delivered within a secure, audit-ready framework supported by seven ISO certifications.  welolifesciences.com About the Role We are looking for experienced English into Spanish (Mexico) linguists specializing in Clinical-trial, Pharmacovigilance and Regulatory document translation. Key Responsibilities Translate clinical research, regulatory and pharmacovigilance documents from English to Spanish LatAm. Perform Machine Translation Post-Editing (MTPE) on machine-translated safety content. Perform Copy Edit (translation review) of translated/post-edited content for accuracy, tone, and consistency. Meet strict, non-extendable turnaround times on time-sensitive content. Work within the client's CAT tool environment (XTM/Phrase), also Track Changes in Microsoft Word following project-specific setup instructions. Field of Expertise Clinical Research Documents (protocols and synopses, IB, ICF, Patient Sheets, Patient Diaries) Regulatory Documents (SmPC, PIL, Labels, CTD Modules) Pharmacovigilance Documents (PSUR, DSUR, RMP, SAE and AE) Must-Have Criteria Applicant must meet at least one of the following criteria: Education A degree in Translation, Linguistics, or Language Studies (or an equivalent degree) or Recognized graduate qualification in any other field, plus a minimum of two years of full-time professional experience in translation or A minimum of five years of full-time professional experience in translation Relevant translation experience At least two years of practical translation experience, specifically with life sciences (clinical trials and pharmacovigilance) and medical documents Technical Skills Familiarity with CAT tools (XTM/Phrase), License will be provided. Familiarity with Track Changes in Microsoft Word Native Language A candidate must be native in ESMX (Mexican Spanish) Nice-to-Have Degree in Medicine, Biology, Biochemistry, Clinical Research, Translation, Linguistics, Philology or similar In-house industry experience at a CRO or pharmaceutical company. Before Applying Please note there will be an assessment as part of our onboarding and quality procedure, please only apply if you're willing to complete our assessment.   Please ensure your latest English CV accurately reflects your Life Sciences and Medical translation experience, including years of experience specifically in Life Sciences, the document types you’ve translated, CAT tool you've used, and relevant details also your contact information (email AND phone number).   We look forward to receiving your application!   Job Reference: #LI-JC1

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

Location: Santa Clara, CA Workplace: onsite About Welo Data Welo Data, a Welo Global brand, is the multilingual data and evaluation partner for foundation labs and enterprises deploying GenAI systems globally. They deliver the human judgment, data infrastructure, and evaluation systems that ensure AI models perform reliably across languages, cultures, and real-world contexts, at every stage from training through deployment.  Its global network of 500,000+ vetted experts spans 300+ languages and locales, enabling high-quality multilingual data creation and structured model evaluation across the full spectrum of modern AI applications — from large language models and voice and speech systems to agentic workflows and robotics and embodied AI. This breadth of linguistic, cultural, and domain expertise enables Welo Data to address critical AI development challenges, including safety, bias, inclusivity, and cross-lingual reliability. A unified global operating model, led by specialized program and quality experts and grounded in assessment-driven talent selection, localized rubrics, and continuous calibration, ensures consistent performance across languages, domains, and modalities. Underpinning all of this is NIMO™ (Network Identity Management and Operations), Welo Data's proprietary identity and fraud-prevention framework. Built to maintain data integrity and workforce trust across a global contributor base, NIMO combines advanced verification, continuous monitoring, and structured QA to ensure every dataset is accurate, traceable, and culturally grounded. welodata.ai    Role Overview We're hiring a Senior Manager, Robotics Lab Operations to run the floor. You'll own day-to-day execution across our Santa Clara robotics labs — managing the Lead layer, driving throughput and quality across a 100+ person hourly workforce operating on multiple shifts, and serving as the operational point of contact for the client. This is a hands-on production leadership role. You're on site, on the floor, and accountable for whether the work ships on time, at quality, and safely. You'll build the management structure that makes a large hourly team run well: clear shift coverage, real supervision, consistent standards, and a team that wants to stay. What You Will Do Lead the team Manage a team of Leads and Supervisors across multiple shifts; own their performance, development, and coverage model. Oversee 100+ full-time hourly data collection associates, operators, and lab technicians. Own staffing: headcount planning, scheduling, shift structure, attendance, overtime, and surge coverage. Partner with recruiting and workforce management on hiring ramps, onboarding, and time-to-productivity. Handle performance management and employee relations on the floor, partnering with HR on escalations. Build a floor culture where standards are clear, feedback is normal, and attrition stays low. Drive operations Own daily, weekly, and monthly production targets across all lab programs — throughput, quality, and utilization. Run the operating cadence: shift handoffs, daily standups, huddles, escalation paths, and a shift-to-shift continuity model that actually holds. Track and report on KPIs — output per shift, quality scores, rework, downtime, fill rate, and labor efficiency. Identify bottlenecks and lead continuous improvement across workflows, lab layout, equipment usage, and staffing models. Partner with engineering and program teams on lab setup, new program launches, and capacity planning. Ensure labs stay safe and compliant in partnership with the Robotics Safety & Compliance Lead; enforce protocols on the floor. Own the client relationship Serve as the primary operational contact for the client on-site — status, escalations, change requests, and performance reporting. Translate client requirements into clear, executable floor instructions and quality standards. Represent operations in business reviews with clear, data-backed reporting on delivery and risk. What Good Looks Like Shifts run consistently whether or not you're in the building. Hit targets without heroics — predictable throughput, stable quality, controlled labor cost. Leads those who are growing into stronger managers. Low attrition and high attendance on a large hourly team. A client who hears about issues from you first, with a plan attached. Safety and compliance treated as part of production, not a separate conversation. Basic Qualifications 7+ years in operations, production, or manufacturing management, including 3+ years managing managers or supervisors. Direct experience leading 100+ hourly employees in an onsite production, lab, warehouse, fulfillment, or manufacturing environment. Proven experience running multi-shift operations, including shift scheduling, coverage, and handoff management. Strong track record owning operational KPIs — throughput, quality, utilization, labor cost. Experience with workforce planning, performance management, and employee relations for an hourly workforce. Clear communicator who can move between floor-level direction and executive or client-facing reporting. Must be able to work onsite in Santa Clara, with flexibility to support multiple shifts as needed. Preferred Qualifications Experience in robotics, hardware, AV/AI data collection, advanced manufacturing, or technical lab environments. Experience as the operational owner of a client or customer relationship, including SLA and business review ownership. Background in a high-growth or rapidly scaling operation — standing up new sites, lines, or programs. Familiarity with Lean Six Sigma, or other continuous improvement methodologies. Comfort with operational tooling and data — WFM systems, dashboards, ticketing, or scripting/SQL to pull your own numbers. Experience managing a non-exempt workforce under California wage and hourly requirements. Bilingual (English/Spanish) a plus for floor communication. Work Environment and Physical Requirements Onsite robotics lab and warehouse environment in Santa Clara. Regular floor presence across shifts; occasional early, late, or weekend coverage during ramps and launches. Must be able to stand and walk the floor for extended periods. Must be able to occasionally lift and/or move up to 25 lbs. Fast-paced environment with evolving operational needs. Why This Role Matters Our labs are where the data actually gets made. This role makes that work predictable at scale — building the management layer, the operating rhythm, and the team that lets us take on more without losing quality, safety, or our people. Benefits Included in the Offer: - Friendly Working Environment - IT Equipment - Social Activities - Global Mobility Policy - Employee Referral Program - Employee Assistant Program - Medical, Dental, and Vision Insurance - HSA & FSA - 401(k) retirement - Short & Long Term Disability Insurance - Accident, Critical Illness, Hospital Indemnity Insurance  - Telemedicine Benefit - Annual Leave - Paid Public Holidays - Maternity/Paternity Leave   Hourly Pay: $90-$110/hr.   Job Reference: #LI-JC1

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

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

Location: Scottsdale, Arizona Workplace: onsite Park IP, a Welo Global brand, is a global IP solutions partner built for modern intellectual property work. The company enables legal teams to protect intellectual assets with accuracy, clarity, and confidence across jurisdictions. Trusted by Am Law 200 firms and Fortune 500 corporate legal departments, Park IP combines deep IP expertise with AI-powered workflows that reduce risk, improve predictability, and deliver greater visibility and control across the IP lifecycle, from prosecution to litigation and compliance. Its Legal Studio platform strengthens portfolio management through jurisdiction-specific coordination and real-time oversight, while experienced IP professionals remain accountable for quality and judgment. Operating under ISO-aligned quality and security standards, Park IP advances a disciplined and transparent approach to managing intellectual property worldwide. parkip.com  ROLE OVERVIEW The Regional Sales Manager is responsible for leading the commercial strategy and sales performance across an assigned region, driving sustainable revenue growth through both new business acquisition and expansion of existing client relationships. As a member of the global Park IP Commercial organization, this role combines people leadership, sales management, and strategic business development to achieve regional revenue objectives. The RSM leads, coaches, and develops a high-performing sales team while maintaining executive relationships with key customers and supporting complex commercial opportunities. Working closely with Marketing, Operations, Solutions, and Executive Leadership, the role ensures consistent execution of the sales strategy and delivers an exceptional customer experience. Travel will be required to support client meetings, industry events, and business development activities.   MAIN RESPONSIBILITIES  Lead, coach, and develop a high-performing regional sales team, fostering a culture of accountability, collaboration, and continuous improvement. Establish clear sales objectives, monitor performance against KPIs, and support team members in achieving or exceeding individual and regional revenue targets. Conduct regular pipeline reviews, sales coaching sessions, and performance discussions to maximize team effectiveness. Support recruitment, onboarding, and ongoing development of sales talent. Develop and execute the regional sales strategy aligned with global commercial objectives. Drive new business acquisition while identifying opportunities to expand existing customer relationships. Support the team in managing complex enterprise opportunities and participate directly in strategic sales engagements when required. Ensure consistent achievement of regional sales quotas, pipeline generation, and revenue growth objectives. Build executive-level relationships with strategic clients, partners, and key decision-makers. Support the team in developing tailored commercial solutions that address customer business challenges. Oversee the successful execution of major proposals, contract negotiations, and commercial agreements. Act as an executive sponsor for key customer relationships where appropriate. Partner with Operations, Solutions, Program Management, Marketing, and Executive Leadership to deliver integrated customer solutions. Collaborate with global commercial leadership to define regional priorities, value propositions, and go-to-market strategies. Share market intelligence, competitive insights, and customer feedback to support business planning and product development. Ensure accurate pipeline management, forecasting, and opportunity tracking through Salesforce. Monitor regional sales performance and provide regular reporting on forecasts, pipeline health, and commercial activity. Drive data-driven decision-making through sales analytics and performance metrics. Represent Park IP at customer meetings, executive briefings, conferences, and industry events. Strengthen Park IP's market presence and identify new commercial opportunities through industry engagement. REQUIREMENTS   Experience Bachelor's degree or equivalent professional experience. 7+ years of enterprise B2B sales experience within Legal Services, Intellectual Property, Legal SaaS, and/or Legal Localization Services. Previous experience leading and developing high-performing sales teams. Proven track record of consistently exceeding regional sales targets through both personal contribution and team performance. Experience managing complex enterprise sales cycles and strategic customer relationships. Strong experience developing regional sales strategies and executing go-to-market initiatives. Experience working within multinational or global organizations is preferred. Technical Skills  Strong experience using Salesforce or another enterprise CRM platform. Experience managing sales forecasting, pipeline reporting, and performance analytics. Experience developing commercial proposals, pricing strategies, Statements of Work (SOWs), and enterprise contracts. Competencies

Location: India Workplace: remote Overview   We are looking for a Senior SDET to test the resilience and correctness of distributed backend systems supporting a high-stakes account provisioning and onboarding workflow. This role is focused on the execution of pre-approved, benign tracer/replay scenarios against staging endpoints, analysis of request/response behavior, and documentation of observable account/CID lifecycle and downstream state behavior. The ideal candidate has strong distributed-systems and API-testing experience and maintains disciplined technical evidence capture and traceability. This role is not intended to perform unrestricted adversarial testing. Testing activities will be limited to approved staging environments and pre-approved benign scenarios.   Project Details   • Title: Senior SDET • Rate: $13.5/hr • Start Date: 26 October • Duration: 5 Weeks • Commitment: 33 Hours per Week • Location: India (Remote) • Job Type: Freelance (with the possibility of full-time employment based on performance and project needs) Responsibilities • Analyze distributed system APIs to validate correctness, consistency, and failure handling across services involved in account creation, data persistence, and related record-linking • Execute pre-approved request variations and boundary-validation scenarios using sanitized tracer payloads against designated staging endpoints • Investigate system behavior under malformed, malicious, or unexpected inputs and document findings clearly • Capture complete request/response evidence, including HTTP status codes, latency, headers, and payload bodies, subject to approved data-handling requirements • Validate behavior of near-real-time inline checks (evaluated within milliseconds at the gateway) as distinct from longer-running background verification/risk pipelines (evaluated over minutes to hours), confirming each layer of defense behaves as expected • Verify data persistence, referential integrity, and correct linkage of related records/relationships written by backend services during processing • Execute controlled replay suites and compare expected versus observed API behavior • Correlate replay results with the API schemas and network evidence produced by the Middleware SDET • Document observable account/CID lifecycle behavior and downstream state changes for handoff • Capture and archive test logs and evidence in a structured, retrievable format to support audits and post-incident reviews • Collaborate with backend engineering teams to reproduce, isolate, and validate fixes for distributed-system defects • Contribute to test strategy for backend/middleware reliability, including failure-mode and chaos-style testing • Maintain traceability between test evidence, defects, and system requirements • Reconcile backend observations with the frontend FSM and middleware/API evidence produced by earlier workstreams Required Qualifications • Strong experience of 5-8+ years in testing distributed systems and analyzing inter-service API behavior • Hands-on experience with request payload tampering, fuzzing, or adversarial API testing techniques • Understanding of layered defense architectures, including the distinction between synchronous/inline validation and asynchronous/background verification processes • Familiarity with testing data persistence and relational/hierarchical integrity in backend data stores • Demonstrated discipline in test log archival, evidence capture, and structured documentation practices • Solid understanding of backend/middleware architecture, failure modes, and system boundaries • Familiarity with API testing tools and scripting for building custom fuzzing/tampering test cases • Strong analytical and investigative skills for root-causing complex, systemic defects • Experience executing controlled API replay or staging validation is strongly preferred • Experience correlating API responses with observable application/account lifecycle states is preferred • Experience supporting audit, compliance, or evidence-based reporting requirements is a plus #L1-CC1 Why join Welo Data?   ✨ Limitless Flexibility: Work on projects that fit your schedule while collaborating with a global leader in AI data services and localization.   🌱 Limitless Growth: Apply your skills, access diverse content types, develop through structured learning, and explore career paths that can lead to permanent roles.   🌍 Limitless Support: Be part of a global community with real-time assistance from our Community Experience team.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.     We can’t wait to meet you!     About Welo Data   Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.    At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: India Workplace: remote Job Overview  Welo Global is hiring an SDET (Software Development Engineer in Test) to bring deep technical rigor to middleware-layer testing. This role requires strong technical expertise across gRPC-Web, Proto3, HTTP/2, JSON-RPC/REST, proxy-based traffic inspection, and API scripting. The primary responsibility is to observe and reconstruct the network interactions generated by the onboarding UI, including request/response structures, schemas, headers, identifiers, Enums, and client-injected parameters. This is primarily an API/network analysis and evidence-generation role rather than a conventional UI automation or regression-testing role. The resource will produce sanitized network evidence and controlled, benign tracer replay scripts for downstream backend validation. Project Details Title: SDET - API/Middleware Rate: $9.50/hr Start Date: 26th October Duration: 5 Weeks Commitment: 35 Hours per Week Location: India (Remote) Job Type:Freelance (with the possibility of full time employment based on performance and project needs in all opportunity) Responsibilities • Design, build, and maintain automated API test suites covering gRPC-Web, Proto3, HTTP/2, and JSON-RPC/REST-based services • Export clean, sanitized HAR/network evidence while maintaining traceability between UI actions and corresponding network requests • Map relevant schemas, headers, identifiers, routing information, and client-injected parameters • Use proxy tools such as Mitmproxy, Charles Proxy, and browser DevTools to inspect, intercept, and validate network traffic between client and server • Develop and maintain API automation scripts using Python, Postman, and cURL for functional and regression testing • Analyze protocol-level request/response behavior to identify defects related to serialization, encoding, and transport • Inspect and validate request payload structure, including system-level headers (e.g., auth tokens, routing identifiers) and internal/hidden parameters, ensuring correct handling under both valid and malformed conditions • Collaborate with backend and middleware engineers to define testable contracts and edge-case scenarios • Continuously improve test automation frameworks for reliability, speed, and maintainability • Document technical findings, automation coverage, and known protocol-level limitations Required Qualifications • Strong hands-on expertise of 3-5+ years with gRPC-Web, Proto3, HTTP/2, and JSON-RPC/REST protocols • Proficiency with proxy/traffic inspection tools including Mitmproxy, Charles Proxy, and browser DevTools • Solid scripting/programming skills in Python, with practical use of Postman and cURL for API automation • Experience designing and maintaining automated test suites for middleware or API-layer services • Working understanding of API request structure, including headers, auth tokens, and internal/system parameters, and how to test for their correct handling • Understanding of software engineering practices as applied to test automation (version control, CI integration, code review) • Strong debugging skills at the network/protocol level • Experience analysing browser-generated network traffic and reconstructing API behaviour is strongly preferred • Experience with HAR analysis, API schema reconstruction, or controlled API replay is strongly preferred • Ability to work within approved staging/test environments and follow defined data-handling and test-authorization requirements is required #L1-CC1 Why join Welo Data?   ✨ Limitless Flexibility: Work on projects that fit your schedule while collaborating with a global leader in AI data services and localization.   🌱 Limitless Growth: Apply your skills, access diverse content types, develop through structured learning, and explore career paths that can lead to permanent roles.   🌍 Limitless Support: Be part of a global community with real-time assistance from our Community Experience team.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.     We can’t wait to meet you!     About Welo Data   Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.    At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

Location: India Workplace: remote Overview   We are seeking a Lead SDET (Software Development Engineer in Test) to provide end-to-end technical governance across all QA layers - frontend, middleware, and backend - for a complex, multi-layered onboarding platform. This role owns the architecture of API contract testing and the data modeling of complex entity relationships (e.g., hierarchical/parent-child style structures), while ensuring that quality assumptions made at one layer (such as client-side validation) are independently verified at every downstream layer rather than trusted at face value. The ideal candidate combines strong technical leadership with the ability to set and enforce delivery governance across cross-functional teams.   Main Responsibilities   • Provide technical governance across frontend, middleware, and backend testing layers   • Establish and enforce QA delivery standards, evidence requirements, review processes, and quality gates   • Review frontend constraint dictionaries and FSM/state-model outputs for completeness and consistency   • Review API schema reconstructions, network evidence, and tracer replay outputs for technical quality and traceability   • Coordinate with QA Analysts, SDETs, and Test Operations Associates to align technical execution with delivery timelines   • Review test architecture decisions, validation approaches, and coverage strategies   • Coordinate dependency resolution, evidence rework, and cross-layer reconciliation throughout the engagement   • Act as the escalation point for cross-layer technical discrepancies and evidence-quality issues   • Compile and quality-check the raw technical evidence dossiers produced by the workstreams   • Identify evidence gaps, inconsistencies, or areas requiring rework before handoff to client stakeholders   • Report on delivery health, technical risks, evidence quality, dependencies, and unresolved gaps   • Prepare the technical evidence package for handoff to the client team responsible for final modelling and logic-gap assessment   • Support technical readout preparation by ensuring that findings are traceable to empirical evidence   Project Details   • Title: Lead SDET • Start Date: 26th October • Duration: 4 Months • Location: India (Remote) • Job Type: Contractual (with the possibility of a Full-time employment extension based on performance and project needs)   Qualifications   • Proven experience of 8+ years in a QA leadership role spanning multiple testing layers (frontend, middleware, backend)   • Demonstrated expertise in API contract testing architecture and governance   • Practical experience with knowledge graph or entity-relationship data modeling and its application to test/data traceability   • Strong understanding of layered system architectures and the importance of independently verifying quality at each layer rather than relying on upstream assumptions   • Strong track record of technical delivery governance, including setting standards and quality gates   • Excellent cross-functional leadership and stakeholder communication skills   • Deep technical grounding across QA disciplines (manual, automation, systems-level testing) to credibly guide teams at every layer   • Experience mentoring or managing SDETs and QA Analysts   • Experience leading complex multi-week technical QA, API validation, or security-assessment engagements is strongly preferred   • Experience establishing evidence/traceability models across complex technical workflows is preferred   • Familiarity with knowledge graphs, entity-relationship models, or structured technical dependency/evidence modeling is preferred; deep knowledge-graph engineering expertise is not required   • Ability to synthesize technical evidence into concise stakeholder-ready findings and handoff materials   #L1-CC1 Why join Welo Data?   ✨ Limitless Flexibility: Work on projects that fit your schedule while collaborating with a global leader in AI data services and localization.   🌱 Limitless Growth: Apply your skills, access diverse content types, develop through structured learning, and explore career paths that can lead to permanent roles.   🌍 Limitless Support: Be part of a global community with real-time assistance from our Community Experience team.     How to Apply?  Apply now by answering a few quick questions to join our database and become part of our growing community.     We can’t wait to meet you!     About Welo Data   Welo Data, part of Welocalize, is a global AI data company with 500,000+ contributors delivering high-quality, ethical data to train the world’s most advanced AI systems. We’re building smarter, more human AI with a diverse community in 100+ countries.    At Welo Data, Limitless AI. Limitless You. isn’t just a slogan—it’s our promise. We build smarter AI through the power of human contribution, offering limitless opportunities for our global community to grow, contribute, and work on their terms.

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

Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Marathi speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Marathi speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Marathi, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Marathi and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

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Location: Barcelona, Spain; Tokyo, Japan; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Kannada speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Kannada speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Kannada, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Kannada and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

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Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Telugu speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Telugu speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Telugu, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Telugu and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

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Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Tamil speaker to join a confidential, large-scale AI and consumer technology programme for a major global technology and communications client.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how the product actually performs on a client-supplied device — a smartphone and a next-generation smart glass. If you enjoy noticing the detail other people miss, this is work you'll find satisfying.  Welocalize is looking for a native-level Tamil speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Tamil , and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Tamil and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

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Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW  Welocalize is looking for a native-level Traditional Chinese speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Traditional Chinese, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Traditional Chinese and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

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Location: Tokyo, Japan; Barcelona, Spain; Portland, OR Workplace: onsite About Welocalize  Welocalize, a Welo Global brand, serves localization teams through AI-enabled multilingual content solutions that enable enterprises to operate and scale globally. Welocalize combines AI, automation, and human expertise to support enterprises in more than 300 languages, enabling accurate, culturally aligned, and compliant multilingual content at scale.   Welocalize’s Opal Platform comprises patented technology designed to automate multilingual content and improve workflow performance for enterprises. Opal functions as an agentic system that orchestrates AI, automation, and human expertise to coordinate content workflows across the lifecycle, improving speed, scalability, and operational control for global enterprises. These solutions operate within a secure and compliant environment supported by seven ISO certifications. Welocalize is headquartered in New York with offices worldwide. welocalize.com  ROLE OVERVIEW    Welocalize is looking for a native-level Mandarin Chinese speaker to join a large-scale AI and consumer technology programme.  It's a hands-on, on-site role that combines two things: evaluating a pre-release AI model in your language, and testing how it performs on a real device. You'll be among the first people to see this technology in Mandarin Chinese, and your judgement shapes how well it works before anyone else uses it.  If you enjoy noticing the detail other people miss, this is work you'll find satisfying.    MAIN RESPONSIBILITIES  Review pre-release AI model output in Mandarin Chinese and judge it on accuracy, naturalness, appropriateness, and overall quality — would a native speaker really say it this way? This includes fact-checking each response against the source material.

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