דרושים » תוכנה » Annotation Specialist

we are looking for a Reference Data Analyst (Spanish speaking).
The primary purpose of this position is to research, analyze and interpret, client queries within the Reference Data Challenge Resolutions team. The Challenge Resolution team is responsible for handling external client queries, internal stakeholder (account management, sales, product, pricing and production teams) queries and reporting and analyzing trends based off the results of these queries. The focus will be to deal with more complex queries from various external and internal sources; to update and maintain that data in various internal database and to add value through increased analysis of the queries.
Responsibilities:
Provide customer support for users of ICE products by resolving inquiries in a timely manner
Craft external facing responses for those clients that submitted customer inquiries containing a meaningful, well-thought out, well-constructed answer that includes a restatement of the challenge or question, the analysis completed to satisfy the request and where appropriate, the methodology used to determine the solution
Support our customers by resolving problems by understanding their cause, gathering the relevant information and formulating and implementing a solution with the guidance of the Manager.
Confidently participate in client calls and meetings.
Contribute to the implementation of change in services and systems, and suggest and implement improvements with the guidance of the Manager
To provide support and become an escalation point for queries in the absence of the manager.
Become a subject matter expert on more than one of our internal database/applications.
Compile team statistics and evaluate results
Liaise with other departments such as pricing, product, data collection and account management.
Identify potential new and enhanced reliable sources that can be used to gather data (i.e. a new data vendor provider)
Identify different/more effective/productive ways to use the existing sources with a view to decrease idle time/ increase speed
Provide support on continued development of the SPER query system, including suggesting enhancements and participating in testing.

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.

A part of the POC GROWING TEAM- This role will have a substantial impact on the company's future. It will involve managing the integration process with the data warehouses of some of the world's largest brands. This includes:

Mapping the different data sources to connect to (based on dozens of data sources Loops connects to).
Modelling the data in platform, based on the business context and the customers KPIs.
Building a deep understanding of Loops models and analyses to analyze them and debug problems.
Building and defining tools to automate and improve the integration process (scripts to automated data discovery, data pipeline, validation scripts, etc)
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Responsibilities
This is not a classic product analyst role:

Data is the underlying asset of our vision. You will directly impact the core value of the product, which is already used by major brands.
Youll be prioritizing and designing product features (not dashboards), yet you will also work closely with our customers to understand how data is leveraged to make decisions, learn which insights are valued, etc. This wide perspective will put you in a key position to shape the strategy of the growing product, and define its KPIs.
Model data within the platform based on business context and customer KPIs to deliver growth insights. This includes building and defining tools to automate and enhance the integration process, such as scripts for automated data discovery, data pipelines, and validation.
As part of the pre-sales department, you'll lead PoCs with top global companies. This diverse, fast-paced role offers exciting opportunities to work with various industries and make a significant impact. You play a key role in bridging customer needs to our solutions.
If youre interested, you will also have the opportunity of diving into the world of ML led by our excellent Data Science team, taking an active part in structuring the models which run behind our products engine.

We are looking for a Data Analyst who will be part of our Growth team and have a significant ability to impact our business.
Whats the job?
Develop predictive models and perform advanced data analysis to generate key insights and actionable recommendations for high-level management.
Conduct deep analytical investigations, including hypothesis-driven analysis, data exploration, and anomaly detection, to uncover trends, root causes, and business opportunities.
Work closely with Customer Success, Product, and Business teams to analyze partner performance, identify optimization opportunities, and translate data insights into scalable operational improvements.
Build and maintain machine learning pipelines, data analytics automation tools, and scalable processes to improve company revenue, partner performance, and Customer Success operations.
Collaborate with the team to design experiments (A/B testing) and continuously improve the analytical and reporting processes through streamlined and scalable approaches.
Contribute to the development and maintenance of advanced data dashboards, reports, and visualizations that track business performance, model performance, and overall data health, and ensure robust data quality and tracking mechanisms.

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 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 seeking a highly motivated and experienced Senior Product Analyst to join our team. This position is part of our Voice Group, reporting to the Data Team Lead. You'll be the analytical backbone of the team, working side-by-side with PMs and engineers to find what's working, what can be improved, and what to build next.

We are looking for someone with a relentless curiosity for both user behavior and AI/ML mechanics; someone who understands how models function and possesses a natural drive to dig into data anomalies until they make sense. Your work will directly shape how our voice agents perform, from surfacing patterns in conversation data to providing the inputs that improve our models.

Responsibilities
Analyze conversational data at scale to uncover opportunities for improving resolution rates, success rates, conversation depth, and growth.
Partner closely with Voice PMs to translate data findings into product priorities and roadmap inputs.
Provide the analytical insights and requirements that drive model improvements while collaborating with ML and engineering teams to define and own end-to-end success metrics.
Build and maintain dashboards and metrics that give the Voice group a shared, reliable view of performance.
Design and analyze experiments and A/B tests to validate hypotheses about agent behavior, conversation flows, and user outcomes.
Develop a deep understanding of our conversational data, taking full ownership of the analytical infrastructure to ensure the highest standards of data integrity and becoming the primary storyteller for your domain.
Proactively investigate data anomalies or gaps to identify root causes and propose solutions without waiting for external direction.

we are looking for a Business Data Analyst.
Responsibilities:
Plan, organize, facilitate, and lead reviews of business requirements with users and developers to ensure accuracy, completeness, and mutual understanding.
Collaborate with vendors to design, develop, and implement Automation solutions using RPA tools such as Automation Anywhere, SQLs, Python and VBA.
Utilize expertise in programming languages such as SQL and Python to perform data analysis and recommend various solutions to improve data accuracy, timeliness, and completeness.
Create data visualizations utilizing tools such as Tableau\Power BI to present and recommend alternative solutions as well as drive data-driven decision-making.
Conduct feasibility studies to determine the technical and economic feasibility of the proposed solution.
Understand and document well-organized, detailed, and concise business requirements by converting the results of data from interviews and conducting own analysis.
Identify opportunities in current processes, conduct GAP analysis to quantify issues, and recommend alternative solutions that will optimize process and/or improve the completeness, timeliness, and quality of the data set.
Coordinate and collaborate effectively with the project team, including but not limited to end-users, product management, evaluations, index, portfolio analytics, quality assurance, project management, and development teams to mitigate and assess project risks, eliminate ambiguities, and meet project deadlines.
Examine current business functions and system capabilities. Identify trends and causations of inaccurate and/or incomplete data sets by conducting in-depth root cause analysis.
Determine efficiencies, accuracy, timeliness, completeness gained from recommended solutions.
Monitor project progress by tracking activity, resolving problems, and publishing progress reports. Prepare production release notes and organize review sessions with RDO and DSG groups to ensure a full understanding of release scope.
Apply problem-solving skills to create innovative workflow resulting in increased productivity.
Write complete and concise test scripts for user acceptance testing. Plan, coordinate, and execute created test cases.
Identify any potential data gaps resulting from the creation of new fields and/or rules. Work with related groups to confirm completion of data backfills required after a production release.
Coordinate closely with the RDO training team to ensure all training documentation is adjusted, and all training sessions are completed before the release rollout.
Mentor junior team members on Automation tools and best practices.
Create working relationships with Data Vendors to understand content and escalate issues.

We are Looking for a production analyst to join our Technical Support team.
As a Production analyst in the Support team, you'll collaborate with the business team, R&D team, and BI team and dive into the heart of our platform, analyzing large data sets to address technical production incidents.
What you'll be doing
Conduct in-depth analysis of vast and intricate data sets, reflecting the behaviors of millions of users, to swiftly address technical production incidents.
Take charge of the resolution process for cases, collaborating seamlessly with internal teams, and maintaining transparent communication with stakeholders throughout.
Develop internal data tools for the Technical Support team to improve the investigation capabilities of the team.
Proactively contribute to internal documentation and promote knowledge sharing within the team.
Effectively manage and prioritize multiple customer issues across our range of products and platform.

Artlist is a leading creative technology company on a mission to empower creators and brands to bring their vision to life with video. Offering cutting-edge AI tools and models for image, video, and voiceover creation, alongside high-quality creative assets and powerful editing tools, Artlist enables creators to stay on trend and achieve their creative goals. Trusted by over 50 million creators worldwide and top brands including Google, Amazon, Microsoft, and Versace, Artlist provides a seamless, subscription-based platform with a global license, giving creators everything they need to produce professional video content efficiently. We're looking for a Sales Data Analyst to join our Sales Operations Team. You'll play a crucial role in supporting our revenue operations, guiding strategic processes, and providing essential direction. The ideal candidate will have strong storytelling skills, attention to detail, and excellent communication. As a Sales Operations Analyst, you'll manage sales and partnership data, crafting dashboards, SQL queries, and delivering actionable insights to stakeholders.
About the Role:
* Craft dashboards & reports to monitor business and operational processes.
* Own business performance analysis, focusing on metrics like retention and conversion.
* Develop comprehensive analyses and models to optimize resource allocation and drive efficiency.
* Define business KPIs, proxies, and targets for performance measurement.
* Collaborate with cross-department stakeholders to spot trends and seize opportunities.
* Calculate and validate sales commission payments, ensuring accuracy, and alignment with company compensation plans and performance metrics.
* Quick-thinking, adaptable, and ready to tackle any challenge.

We are looking for a Data Analyst to join our community!

We are a fast-growing startup in the software-as-a-service and AI Security industry.

As a Data Analyst, you will work with multiple stakeholders - Product Managers, Data Engineers, Software Engineers, Data Scientists and more, to help us make more from our data.

Our mission is to empower security teams to safeguard their SaaS-Identity risk landscape. Grip discovers and classifies risk across SaaS and web apps, uncovering risk prone identities and accounts to close security gaps, prioritize access controls, and achieve continuous SaaS and identity compliance.

Responsibilities:
Take part in our features development process - building warehouse models and writing our data catalog.
Leading long term research to provide innovative insights for our product.
Define and implement data processing and operative workflows.
Work with relevant Grip stakeholders to define how our system should be monitored and how root causes of underperformance can be identified.
Contribute to a culture of learning and knowledge-sharing within the team.