Take global further
AI Language Annotator, Vietnamese
Location
Cambodia
Posted
82 days ago
Salary
$6 / hour
Seniority
Senior
Job Description
AI Language Annotator, Vietnamese
RWS Group
• Read and review both the input and output texts in their entirety, paying close attention to any differences • Determine whether the task should be rejected based on issues such as loading errors, language mismatch, or inappropriate content • Assess the output for accuracy and consistency, ensuring the meaning and key information are preserved • Identify and document any issues by referencing specific text and explaining discrepancies between input and output • Suggest minimal corrections, when possible, to improve the output while maintaining the original intent.
Job Requirements
- Strong attention to detail with the ability to identify inconsistencies and subtle differences in written content
- Excellent reading comprehension and written communication skills in the required language(s)
- Ability to follow structured guidelines and make accurate, consistent judgment calls
- Experience in content review, proofreading, translation, or similar quality-focused roles,
Benefits
- Flexible schedule
- Opportunity to earn extra income
- Timely payments
- The job is ideal for students, part-timers, or stay-at-home parents
Related Guides
Related Categories
Related Job Pages
More Artificial Intelligence Jobs
Senior AI-Enabled Software Engineer in Test
eClinical SolutionsWe bring people and data together to support tomorrow’s breakthroughs
Senior AI-Enabled Software Engineer in Test eClinical Solutions is transforming clinical development with elluminate®, our Clinical Data Cloud, helping life sciences organizations unify, analyze, and unlock the value of their data faster than ever before. By combining a modern cloud platform with expert data services, we empower smarter decisions across the clinical trial lifecycle—accelerating innovation that ultimately improves patient outcomes. Our engineering teams build enterprise-grade, revenue-generating products at the intersection of cloud, data, analytics, and emerging AI technologies. If you’re excited about building sophisticated software that makes a real-world impact in healthcare, this is the place to do it. You will make an impact: As a Senior AI-Enabled Software Engineer in Test, you will play a critical role in modernizing and scaling our quality engineering practices and shaping the quality and reliability of elluminate, our flagship SaaS Clinical Data Intelligence Platform. You will lead the evolution of our test automation strategy, from framework design through CI/CD integration, making automation a driver of engineering velocity rather than a bottleneck. Your work will enable the shift from large, infrequent releases to continuous delivery with improved quality and production stability. You will also leverage AI and agentic capabilities to reduce manual testing, accelerate test creation, expand coverage, identify gaps, and increase release confidence. This position combines traditional automated testing with modern AI-driven observability and predictive capacity modeling, ensuring validated, audit-ready systems that comply with GxP, 21 CFR Part 11, and industry regulatory requirements. The role works cross-functionally with Engineering, DevOps, Data Management, and Quality teams. Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. Your day to day: - Design, build, and maintain scalable automated test frameworks covering UI, API, integration, and performance layers across AWS-based .NET services - Expand and refactor the existing automated test suite to increase coverage, reliability, and execution speed - Leverage AI and agentic AI tools to generate, enhance, and maintain automated tests, systematically reducing manual regression testing - Integrate automated tests into CI/CD pipelines to enforce quality gates and support rapid, high-confidence releases - Analyze test results, investigate failures, and partner with engineers to diagnose and resolve defects across distributed systems - Collaborate closely with developers and DevOps engineers to ensure new features are designed with testability, observability, and automation in mind - Continuously improve test data management, environment configuration, and reproducibility of test runs - Identify automation gaps and propose improvements that increase release cadence and reduce risk - Actively participate in architectural discussions, sprint planning, backlog grooming, and milestone reviews; partner with Engineering Leads to define scope, technical approach, deliverables, and quality criteria for upcoming releases - Contribute to documentation, standards, and best practices that elevate quality engineering across the organization - Ensure audit readiness by maintaining complete, traceable documentation in alignment with SOPs and Quality Management System (QMS) - Collaborate with DevOps and Cloud teams to optimize infrastructure scalability, reliability, and performance within compliance constraints - Support defect triage, root cause analysis, CAPA processes, and continuous improvement initiatives - Other duties as assigned Take the first step towards your dream career. Here is what we are looking for in this role. Qualifications: - Bachelor’s Degree in Computer Science, Engineering, Data Science, or related discipline, or equivalent work experience preferred - 10+ years of hands-on experience in enterprise software engineering and test automation (SDET), including at least 6 years designing and scaling automated test frameworks preferred - Proven experience driving automation strategy and expanding adoption of automated testing across engineering teams - Strong experience implementing automation across all layers: database validation (SQL), API/integration (REST, HTTP), and end-to-end UI testing - Hands-on expertise with C#/.NET platform, Selenium and Playwright, TypeScript/JavaScript, HTML, and CSS - Experience with Implementing AI-enabled monitoring and anomaly detection to proactively identify system degradation or performance drift - Deep understanding of distributed systems, microservices architecture, and service-to-service communication - Experience integrating automated tests into CI/CD pipelines and implementing quality gates - Hands-on experience with containerization (Docker) and Kubernetes-based test execution environments - Ensure audit readiness by maintaining complete, traceable documentation in alignment with SOPs and Quality Management System (QMS) - Experience designing and executing performance/load testing strategies - Strong collaboration skills; experience partnering with Development Leads and Product teams in planning, grooming, and milestone definition - Demonstrated ability to influence engineering standards, mentor SDETs, and drive quality engineering best practices - Experience with generating and maintaining performance validation documentation including test plans, test cases, traceability matrices, summary reports, and deviation documentation - Programming/Scripting: Python, SQL, PowerShell, .Net - Databases: SQL Server and large-scale data platforms - Cloud Platforms: AWS - Containerization & Orchestration: Docker, Kubernetes (preferred) - Observability & Monitoring: Application Insights, Datadog, NewRelic - Experience with CI/CD tools in validated environments (TeamCity, Octopus Deploy, Git-based workflows) Accelerate your skills and career within a fast-growing company while impacting the future of healthcare. We have shared our story, now we look forward to learning yours! eClinical is a winner of the 2025 Top Workplaces USA Award for Remote Work! We have also received numerous Top Workplaces Culture Excellence Awards celebrating our exceptional company vision, values, and work-life balance. See all the details here: https://topworkplaces.com/company/eclinical-solutions/ eClinical Solutions is a people first organization. Our inclusive culture values the contribution that diversity brings to our business. We celebrate individual experiences that connect us and that inspire innovation in our community. Our team seeks out opportunities to learn, grow and continuously improve. Bring your authentic self, you are welcome here! We are proud to be an equal opportunity employer that values diversity. Our management team is committed to the principle that employment decisions are based on qualifications, merit, culture fit and business need. #LI-AB1 Pay Range US Pay Ranges $132,000—$165,000 USD
Forward Deployed Solution Architect - Applied AI FDE
ServiceNowAs the AI platform for business transformation, we're putting AI to work across organizations — freeing people for work that matters. Making old tech work with new tech. Reaching across departments, from the front office to the back office and every office in between. Our ambition? To become the AI defining enterprise software company of the 21st century (or "AI DESCO21C," as we like to call it). With more than 8,400+ customers, we serve approximately 90% of the Fortune 500®, and we're proud to be a Fortune 100 Best Companies to Work For® and World's Most Admired Companies™. Explore your future career with us, visit www.careers.servicenow.com From Fortune. ©2026 Fortune Media IP Limited. All rights reserved. Used under license.
Company Description It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone. Job Description Team Bio: ServiceNow's Applied AI Forward Deployed Engineering (FDE) team is where bold ideas meet transformative action. We partner with our most strategic customers to shape the future of enterprise AI. Together, we identify high-value opportunities, accelerate business outcomes, and build reusable AI-native solutions that advance the Now AI Platform. Our mission: We partner deeply with our customers to build intelligent, scalable AI solutions that solve their most mission-critical challenges. By embedding in real-world complexity, we deliver fast, iterate with purpose, and transform every success into reusable patterns that accelerate transformation across the Now Platform and the broader enterprise. Why This Role Matters: Enterprise leaders aren't just experimenting with AI-they're demanding outcomes. The next wave of adoption will be led by those who can move fast, deliver measurable value, and transform 1-off wins into repeatable success. As a Forward Deployed Solution Architect (FDSA), you operate on the frontlines of that transformation. You embed with customers to uncover opportunities, architect AI-powered systems that drive ROI, and guide how those solutions scale across the Now Platform. This is a rare opportunity to serve as a Field Product Architect at the forefront of applied AI, helping define what great looks like for scalable enterprise innovation. Who You Are: You are a dynamic and innovative problem-solver who thrives in complex, fast-paced environments. With a strong analytical mindset and a passion for AI, you excel at transforming ambiguity into clarity. Your ability to synthesize data, workflows, and user motivations allows you to identify impactful solutions that align with customer needs and business objectives. You work seamlessly with software engineers, product designers, and stakeholders to deliver intelligent systems that address mission-critical challenges. You dive deep into complex environments to explore workflows, understand user friction, and surface the right inflection points for intelligent automation. You embody ServiceNow's values: - Customer First: You prioritize delivering value through business outcomes. - Bold Innovation: You challenge convention and seek simplicity through design. - One Team: You collaborate deeply across functions and build through shared ownership. - Integrity and Belonging: You build trust, foster inclusion, and lead with empathy. What You'll Do: - Lead Strategic Discovery: Identify high-impact AI opportunities by running hands-on workshops and aligning stakeholders. - Architect AI-Native Solutions: Design systems using LLMs, RAG pipelines, retrieval logic, and workflow orchestration. - Accelerate Delivery with Engineers: Collaborate closely with FDSEs to build, test, and iterate functional solutions quickly. - Codify Best Practices: Create repeatable frameworks, reusable templates, and modular components. - Drive Alignment: Influence customer and executive buy-in through clear storytelling and solution framing. - Advocate Field Insights: Capture feedback from deployments to shape product strategy and prioritize platform needs. - Enable Scale: Equip internal teams and customers to expand success through documentation and technical onboarding assets. What Success Looks Like: - Solution-Ready Build Delivered: You deliver a validated AI solution-ready build within 8-12 weeks that directly addresses a business-critical problem. - Widespread Reuse: Your assets-from prompts to orchestration logic-are leveraged by other teams and codified for scale. - Platform Evolution: Your work contributes to shaping the Now Platform through structured product feedback and architectural influence. - Business Transformation: The AI solution you've led results in measurable gains in efficiency, automation, adoption, or satisfaction. - Production Trajectory: Your delivered solution becomes the foundation for scaled production deployment across customer environments. - Trusted Field Partner: Customers and internal stakeholders see you as a strategic, dependable, and technically credible partner. Qualifications What You Bring: - Experience: In leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI's potential impact on the function or industry. - Enterprise Experience: 15+ years of overall experience, with 5-7+ years in enterprise AI/ML architecture, field engineering, or solution consulting. Proven ability to lead initiatives from conception to delivery over at least 3+ years. - Technical Mastery: Strong grasp of LLM-based systems and GenAI pipelines including prompt engineering, retrieval-augmented generation (RAG), orchestration, and data modeling. Experience designing full-stack intelligent workflows. - Cloud & Infrastructure Fluency: Deep hands-on experience with AWS, Azure, or GCP, including use of containers, infrastructure-as-code (Terraform, CloudFormation), and enterprise integration patterns. - Engineering Depth: Proficient in Python and SQL, with working knowledge of GenAI tooling frameworks like LangChain, Semantic Kernel, or similar. Ability to contribute to engineering discussions and code-level decisions. - Customer & Delivery Leadership: Comfortable operating in ambiguous, high-stakes environments. Experienced in guiding cross-functional technical teams, influencing executive stakeholders, and ensuring clarity from ideation to implementation. - Field Readiness: Willingness and ability to travel up to 30% to embed onsite with customers, lead workshops, unblock teams, and drive tangible solution outcomes. - Platform Affinity (Nice to Have): Familiarity with the ServiceNow platform, low-code tooling, or other enterprise SaaS ecosystems. Preferred Qualifications: - Prior work delivering AI or intelligent workflow solutions at scale. - Familiarity with LangChain, Semantic Kernel, vector DBs, and Python. - Experience with SaaS platforms, enterprise data integration, and low-code environments. - History of converting field delivery into reusable product patterns. - Proven success in deploying AI solutions that delivered tangible customer impact. - Hands-on experience integrating AI into enterprise SaaS platforms. - Skill translating real-world constraints into reusable internal tools or product enhancements. - Familiarity with AI governance, compliance, and enterprise security practices. This is your opportunity to architect real-world AI, partner with the world's leading enterprises, and turn every solution into a smarter Now Platform. For positions in this location, we offer a base pay of $236,000 - $413,000, plus equity (when applicable), variable/incentive compensation and benefits. Sales positions generally offer a competitive On Target Earnings (OTE) incentive compensation structure. Please note that the base pay shown is a guideline, and individual total compensation will vary based on factors such as qualifications, skill level, competencies, and work location. We also offer health plans, including flexible spending accounts, a 401(k) Plan with company match, ESPP, matching donations, a flexible time away plan and family leave programs. Compensation is based on the geographic location in which the role is located and is subject to change based on work location. Additional Information Work Personas We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service. Equal Opportunity Employer ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements. Accommodations We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact globaltalentss@servicenow.com for assistance. Export Control Regulations For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities. From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
Lead Product Manager, AI - ThousandEyes
Cisco ThousandEyesCisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network – even the ones they don’t own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues – before they impact end- user experiences. ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco’s leading Networking, Security, Collaboration, and Observability portfolios.
The application window is expected to close on: 03/31/2026 Job posting may be removed earlier if the position is filled or if a sufficient number of applications are received . Who We Are Cisco ThousandEyes is a Digital Experience Assurance platform that empowers organizations to deliver flawless digital experiences across every network - even the ones they don't own. Powered by AI and an unmatched set of cloud, internet and enterprise network telemetry data, ThousandEyes enables IT teams to proactively detect, diagnose, and remediate issues - before they impact end- user experiences. ThousandEyes is deeply integrated across the entire Cisco technology portfolio and beyond, helping customers deploy at scale while also delivering AI-powered assurance insights within Cisco's leading Networking, Security, Collaboration, and Observability portfolios. About the Role We're looking for a Lead Product Manager who is a great product manager first-and happens to have real depth in modern AI/ML. You'll own product strategy for key AI/ML feature areas, working closely with engineering and research to ship capabilities that make our customers' lives easier. This isn't a traditional enterprise PM role. We want someone who has built AI-native products and understands how they actually work under the hood. Ideally, you've spent time at companies like Cursor, Windsurf, Replit , or similar places where AI isn't a feature; it's the product. You'll bring that perspective to ThousandEyes as we build the next generation of intelligent, agentic capabilities on top of one of the richest network telemetry datasets in the world. What You'll Do - Be the connective tissue between product and ML - you'll sit at the intersection of customer problems and technical possibilities, translating between what users need and what models can do. - Get your hands dirty with the technology - you're comfortable digging into how a model behaves, why it's making certain predictions, and what trade-offs come with different approaches. - Rethink the user experience from first principles -instead of bolting AI onto existing workflows, you'll help design interactions where intelligent automation is the default. - Make hard calls on ambiguous problems -AI product development is messy; you'll need to decide when something is good enough to ship and when it needs more iteration. - Bridge the gap between research and production -help the team move from promising experiments to features that work reliably at scale. Qualifications - 8+ years in product management, with experience shipping AI-native or ML-powered products - Strong product fundamentals-you know how to discover what matters, prioritize ruthlessly, and get things out the door - Genuine technical depth in ML-you understand how modern models work (especially transformers), and can engage meaningfully with engineers on architecture and trade-offs - Experience at companies building agentic AI products (Cursor, Windsurf, Replit , Cognition, etc.) is a strong plus - Excellent communicator-can distill complex topics for different audiences and influence across teams and levels - Bias for action; comfortable operating with ambiguity and making calls without perfect information Why Cisco? At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era - and beyond. We've been innovating fearlessly for 40 years to create solutions that power how humans and technology work together across the physical and digital worlds. These solutions provide customers with unparalleled security, visibility, and insights across the entire digital footprint. Fueled by the depth and breadth of our technology, we experiment and create meaningful solutions. Add to that our worldwide network of doers and experts, and you'll see that the opportunities to grow and build are limitless. We work as a team, collaborating with empathy to make really big things happen on a global scale. Because our solutions are everywhere, our impact is everywhere. We are Cisco, and our power starts with you. Message to applicants applying to work in the U.S. and/or Canada: The starting salary range posted for this position is $135,800.00 to $198,800.00 and reflects the projected salary range for new hires in this position in U.S. and/or Canada locations, not including incentive compensation*, equity, or benefits. Individual pay is determined by the candidate's hiring location, market conditions, job-related skillset, experience, qualifications, education, certifications, and/or training. The full salary range for certain locations is listed below. For locations not listed below, the recruiter can share more details about compensation for the role in your location during the hiring process. U.S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical, dental and vision insurance, a 401(k) plan with a Cisco matching contribution, paid parental leave, short and long-term disability coverage, and basic life insurance. Please see the Cisco careers site to discover more benefits and perks. Employees may be eligible to receive grants of Cisco restricted stock units, which vest following continued employment with Cisco for defined periods of time. U.S. employees are eligible for paid time away as described below, subject to Cisco's policies: - 10 paid holidays per full calendar year, plus 1 floating holiday for non-exempt employees - 1 paid day off for employee's birthday, paid year-end holiday shutdown, and 4 paid days off for personal wellness determined by Cisco - Non-exempt employees** receive 16 days of paid vacation time per full calendar year, accrued at rate of 4.92 hours per pay period for full-time employees - Exempt employees participate in Cisco's flexible vacation time off program, which has no defined limit on how much vacation time eligible employees may use (subject to availability and some business limitations) - 80 hours of sick time off provided on hire date and each January 1st thereafter, and up to 80 hours of unused sick time carried forward from one calendar year to the next - Additional paid time away may be requested to deal with critical or emergency issues for family members - Optional 10 paid days per full calendar year to volunteer For non-sales roles, employees are also eligible to earn annual bonuses subject to Cisco's policies. Employees on sales plans earn performance-based incentive pay on top of their base salary, which is split between quota and non-quota components, subject to the applicable Cisco plan. For quota-based incentive pay, Cisco typically pays as follows: - .75% of incentive target for each 1% of revenue attainment up to 50% of quota; - 1.5% of incentive target for each 1% of attainment between 50% and 75%; - 1% of incentive target for each 1% of attainment between 75% and 100%; and - Once performance exceeds 100% attainment, incentive rates are at or above 1% for each 1% of attainment with no cap on incentive compensation. For non-quota-based sales performance elements such as strategic sales objectives, Cisco may pay 0% up to 125% of target. Cisco sales plans do not have a minimum threshold of performance for sales incentive compensation to be paid. The applicable full salary ranges for this position, by specific state, are listed below: New York City Metro Area: $168,800.00 - $277,400.00 Non-Metro New York state & Washington state: $148,800.00 - $248,200.00 * For quota-based sales roles on Cisco's sales plan, the ranges provided in this posting include base pay and sales target incentive compensation combined. ** Employees in Illinois, whether exempt or non-exempt, will participate in a unique time off program to meet local requirements.
AI Product Solution Owner
Prime TherapeuticsEstablished in 1988, Prime Therapeutics helps people get the medicine they need to manage their health. This company manages pharmacy coverage for patients thro
• Lead the delivery of complex solution products that deliver meaningful value to our customers • Collaborate closely with engineering and business stakeholders to understand customer needs, define product direction, and translate business problems into actionable requirements • Refine and prioritize the product backlog, develop user stories, and guide Product Discovery and Product Definition efforts • Validate solutions and ensure alignment throughout the delivery process • Champion product quality by providing input on test strategy, test cases, and ensuring solutions meet or exceed customer expectations • Maintain strong cross‑functional relationships with engineering, product management, customer service, go‑to‑market teams, technology partners, and commercial customers • Monitor product performance and usage, serving as the point of contact for questions, enhancements, and issue resolution across the product lifecycle




