דרושים » אבטחת איכות QA » Knowledge & Quality Specialist

we are looking for a Annotation Specialist.
This position offers the opportunity to support cutting-edge technology work.
Responsibilities:
Responsible for analyzing and labeling data as part of our product manufacturing processes.
Responsible for ensuring the accuracy, completeness, and overall quality of the data at the customer site
provides fast, precise, and professional responses to special requests from the customer.
Take part in product improvement and work optimization.
Be at the center of the company's endeavors.
Be a crucial part of the companys product quality.
Takes a proactive part in the configuration of projects

We are looking for a native French speaker with a high level of proficiency in English to join our Annotation and Analysis team at the as a Data Annotator and Analyst. In this role, you will work with large volumes of data in both French and English, annotating and analyzing datasets used to evaluate and train machine learning models, including large language models (LLMs). Your work will involve reviewing model outputs and preparing high-quality training data that supports the development and continuous improvement of AI-driven products. In addition, as part of the job, you will conduct complex analysis on the annotated data and provide insights to the other stakeholders. This position is ideal for someone passionate about linguistics and data, and who enjoys working on detail-oriented tasks that directly impact model quality. As part of a collaborative, cross-functional team, you will work closely with Data Scientists and Product Managers to ensure that datasets are accurately labeled and annotation standards support the development of reliable machine learning systems.

Responsibilities

Evaluate the quality of machine-translated text, with a focus on French language accuracy and fluency.
Annotate and assess AI model responses to support systematic evaluation and improvement of model performance.
Create high-quality annotated datasets used to train and evaluate LLMs and other NLP models.
Write and refine LLM prompts that support scalable human annotation workflows.
Collaborate with cross-functional teams, including Data Scientists and Product Managers, to communicate linguistic nuances and implications of French translations on model behavior and user experience.
Analyze annotated data and evaluation results to identify patterns, assess model quality, and surface insights for model improvement.

We are seeking a talented QA engineer to design testing procedures for our software applications. In this role, you will be responsible for analyzing the functionality of applications and designing tests to validate their performance. You will also be required to identify bugs and collaborate with the software design team.

Responsibilities
Plan, execute, and oversee product inspection and testing for quality and conformance to specifications and deliverables
Collaborate with cross-functional teams to understand product requirements and specifications.
Design, develop, and execute test cases, scenarios, and scripts for both manual and automated testing.
Conduct thorough regression testing to identify software defects and verify bug fixes.
Work closely with developers to reproduce, isolate, and debug issues.
Contribute to the design and implementation of automated testing frameworks and tools.
Document test procedures, results, and defects clearly and concisely.
Participate in regular team meetings and provide feedback on product quality and testing strategies.
Provide training and support to quality assurance team members that covers systems, policies, procedures, and core processes.

we arelooking for a Senior QA Lead to act as a Quality Owner, driving scalable, consistent, and measurable quality across multiple development teams.
quality is owned by development teams. The QA Lead ensures this ownership is effective, aligned, and continuously improving - by defining standards, enabling teams, and providing system-level visibility and risk assessment.
The QA Lead engages at key points in the development lifecycle, focusing on high-impact areas such as complex features, cross-team flows, and potential risk zones.
This role focuses on strategy, enablement, and system thinking, rather than hands-on execution of tests.
In this role, you will be responsible for:
Leading quality strategy across teams, including defining testing approaches across different testing layers
Defining and driving quality standards, including Definition of Done and CI expectations
Prioritizing involvement based on impact and risk, focusing on high-impact areas such as complex features, cross-team flows, and potential risk zones
Establishing and monitoring quality metrics, and providing clear visibility into quality health
Leading cross-team quality efforts, especially around integrations, shared flows, and areas with unclear ownership
Building and maintaining a system-level understanding that enables early identification of gaps beyond individual team boundaries
Guiding development teams in test design and coverage decisions, promoting strong quality ownership within teams
Promoting effective and responsible use of AI in testing and quality processes
Driving continuous improvement in quality practices, while acting as a knowledge center for quality and system behavior within your domain

Are you an AI Analyst ready to translate raw model output into a reliable, high-quality production system? Do you excel at the craft of Prompt Engineering and thrive on the challenge of ensuring Generative AI output meets rigorous quality standards in mission-critical applications? Join our R&D Operations Team. You will be the AI analyst responsible for the end-to-end quality, performance, and operational tuning of our Generative AI-driven support system (Co-Pilot). Your mission is to actively shape the model's intelligence, govern the data it uses, and implement the mechanisms that guarantee its accuracy, directly accelerating our customer support engineering velocity.
Key Responsibilities
Support & Customer Advocacy: Champion the Support Journey in Engineering. Develop in-product support instructions that reflect and address real incoming cases, enhancing the quality and effectiveness of AI feature solutions.
Model Quality Validation: Use existing evaluation platforms and methodologies to validate production models. Monitor quality metrics to continuously assess and rank AI answers for accuracy and reliability.
Prompt Engineering & CT Loop: Drive the Continuous Training loop through systematic prompt engineering (refining and versioning inputs). Analyze failures to define R&D actions or features needed to close model performance gaps.
AI Knowledge Governance: Act as AI Content Governor, implementing controls to verify and ingest compliant knowledge base content, ensuring a quality data source.
Cross-Functional SME: Serve as the AI Support Co-pilot Subject Matter Expert, partnering with R&D and Support Enablement to translate quality issues into core model logic improvements and feature development.

We are seeking a talented QA engineer to design testing procedures for our software applications. In this role, you will be responsible for analyzing the functionality of applications and designing tests to validate their performance. You will also be required to identify bugs and collaborate with the software design team.

Responsibilities
Plan, execute, and oversee product inspection and testing for quality, conformance to specifications, and acceptance criteria.
Collaborate with cross-functional teams to deeply understand product requirements and translate them into test coverage.
Design, develop, and execute test cases, scenarios, and scripts for both manual and automated testing workflows.
Conduct thorough regression testing to identify defects, verify bug fixes, and protect against regressions.
Work closely with developers to reproduce, isolate, and debug issues - bridging the gap between QA and engineering.
Contribute to the design and implementation of automated testing frameworks and internal tooling.
Document test procedures, results, and defects clearly - keeping the team informed and the record clean.
Participate in regular team meetings and provide actionable feedback on product quality and testing strategies.
Provide training, guidance, and mentorship to QA team members on systems, policies, and core processes.

We are building an automation team. In your role as a Test Automation Engineer, you will design and implement robust automated testing frameworks to enhance our product quality. A unique opportunity to shape and develop the automation framework from the ground up, ensuring seamless integration of the automation infrastructure into the overall development process. Build and maintain scalable automation frameworks for efficient testing across multiple product lines.

Your Opportunity:
Automation Framework Development: Build and maintain an automation framework to support efficient and scalable testing across multiple product lines.
Test Design and Execution: Develop, execute, and manage automated tests to ensure product quality, focusing on key areas like functional validation, performance testing, and operational resilience.
Collaboration with Engineering Teams: Work closely with developers and QA engineers to identify testing requirements, integrate automation into CI/CD pipelines, and troubleshoot test failures.
Data-Driven Insights: Analyze and report test results, using data to refine testing approaches and to drive continuous improvements in the automation process.
Technical Growth: Deepen your technical expertise with a focus on automation for complex systems, SaaS, and cloud environments.
Project Ownership: Lead projects to implement and scale automation frameworks, developing a strong foundation for future product testing.
Strategic Testing Initiatives: Identify and implement innovative testing methodologies and automation strategies.
Cross-Functional Collaboration: Partner with product and engineering teams to enhance quality processes through data-driven testing and continuous improvement.

we are looking for a Quality CI Enigneer to join our growing team!
This is a great opportunity to be part of one of the fastest-growing infrastructure companies in history, an organization that is in the center of the hurricane being created by the revolution in artificial intelligence.
"our company's data management vision is the future of the market."- Forbes
we are the data platform company for the AI era. We are building the enterprise software infrastructure to capture, catalog, refine, enrich, and protect massive datasets and make them available for real-time data analysis and AI training and inference. Designed from the ground up to make AI simple to deploy and manage, our company takes the cost and complexity out of deploying enterprise and AI infrastructure across data center, edge, and cloud.
Our success has been built through intense innovation, a customer-first mentality and a team of fearless workers who leverage their skills & experiences to make real market impact. This is an opportunity to be a key contributor at a pivotal time in our companys growth and at a pivotal point in computing history.

Were looking for a sharp and driven Data Analyst to join our fast - paced Data Labs team. As part of a high-performing group of analysts, youll handle complex, custom requests from some of the biggest names in the market, turning raw data into strategic, ad hoc insights. The work is intense and constantly evolving - it requires strong analytical skills and the ability to work independently under pressure. Youll need to be curious, adaptable, and willing to dive deep to find answers where others might stop. If you thrive in a demanding environment and are excited by the opportunity to make a real impact, we want you on our team.
What does the day to day of a Big Data Analyst Customer Facing (Data Labs) look like:
Building custom-made reports end to end - from meeting with the client and understanding their needs, to writing the code and setting up the report for ongoing delivery.
Apply your expertise in quantitative analysis and data mining to turn data into insights.
Conduct research and develop tools which will help answer client's business. questions by using our raw data sets and algorithms.
Partner with Engineering teams to establish an infrastructure to scale solutions.
Partner with Advisory Services team of Consultants to answer strategic business questions and deliver custom data products seamlessly.

We are looking for an experienced NLP Data Science Team Leader to lead a team of talented NLP Data Scientists and drive the development of cutting-edge NLP solutions at scale. This role combines hands-on technical leadership, people management, and strategic influence over product and research directions.



Responsibilities

Lead and grow a team of NLP Data Scientists
Manage, mentor, and support team members professional development
Foster a culture of excellence, ownership, and continuous learning
Own end-to-end delivery of NLP solutions
Oversee algorithmic features from ideation through research, development, and production
Ensure high-quality, scalable, and maintainable solutions
Drive technical direction and innovation
Guide research efforts and evaluate new NLP/ML technologies
Translate business needs into impactful NLP solutions
Collaborate cross-functionally
Work closely with Product, Engineering, and Business stakeholders
Align team priorities with company goals and product roadmap
Maintain hands-on involvement
Contribute to architecture, modeling, and critical algorithmic challenges
Review code, experiments, and methodologies
Scale impact
Improve processes, workflows, and best practices for research and production
Ensure efficient use of large-scale data and infrastructure