Данные и ML вакансии

Location: London; San Francisco; New York; Paris; Toronto; Montreal Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Advance the state of the art for model post training, ship state of the art models to production, and bridge the gap between research and production. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and supporting our research effort depending on individual interest and organisational needs. We have all the compute, data, and talent available for you to do your best work. Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! Key Responsibilities: - Design and write high-performant and scalable software for training models. - Consistently post-train the models to reach SOTA level performance. - Coordinate with other specialist teams (Agentic, Code…) to produce models that have strong all encompassing performance. - Craft and implement techniques to improve the performance and results of our training cycles both on the SFT and the RL regime. - Research, implement, and experiment with ideas on our supercompute and data infrastructure. - Learn from and work with the best researchers in the field. Qualifications: - Extremely strong software engineering skills. - Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR. - Experience with distributed training infrastructures (Kubernetes, Slurm) and associated frameworks (Ray). - Experience using large-scale distributed training strategies. - Hands on experience on training large model at scale. - Hands on experience with the post training phase of model training, with a strong emphasis on performance optimisation. - Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). This is neither an exhaustive nor necessary set of attributes. Even if none of these apply to you, but you believe you will contribute to Cohere, please reach out. We have a wide variety of backgrounds at Cohere. Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Moldova Project Description We are looking for a motivated Data Engineer to join our growing data team. This is a great opportunity for someone early in their career to gain hands-on experience with modern data technologies. You will collaborate closely with senior engineers and analysts to build, maintain, and optimize scalable data pipelines and infrastructure. Technologies SQL (PostgreSQL, MySQL or similar) Python (or another scripting language) Basic knowledge of cloud platforms (AWS, GCP, or Azure) is a plus Familiarity with data visualization tools (e.g., Power BI, Tableau) is a plus What You'll Do Assist in the design, development, and maintenance of scalable data pipelines; Support data integration from various sources (databases, APIs, flat files); Help ensure data quality, consistency, and reliability; Collaborate with data analysts and data scientists to understand data requirements; Participate in code reviews and contribute to technical documentation; Monitor and troubleshoot data workflows, resolving issues as they arise; Job Requirements 1+ years of practical experience or relevant internship in a data-focused role (preferred); Bachelor’s degree in Computer Science, IT, Mathematics, or a related field (or equivalent practical experience); Basic knowledge of SQL and relational databases (e.g., PostgreSQL, MySQL, SQL Server); Familiarity with at least one programming language (preferably Python); Understanding of ETL concepts and data warehousing fundamentals; Eagerness to learn new technologies and best practices in data engineering; Strong problem-solving skills and attention to detail; Effective communication and teamwork abilities; English level: Intermediate+ or higher; What Do We Offer The global benefits package includes: Technical and non-technical training for professional and personal growth; Internal conferences and meetups to learn from industry experts; Support and mentorship from an experienced employee to help you professional grow and development; Health insurance; English courses; Sports activities to promote a healthy lifestyle; Flexible work options, including remote and hybrid opportunities; Referral program for bringing in new talent; Work anniversary program and additional vacation days.

Location: San Francisco, CA • New York, NY • United States Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us! We are looking for an experienced Data Scientist to join our growing data team. At Figma, Data Scientists are deeply embedded within cross-functional teams across the company—from Product to Finance, Marketing, and Platform. We are hiring across a number of roles in these areas. This is ideal for someone excited to own high-impact data projects, partner strategically with stakeholders, and shape the future of our products and business. Figma is uniquely positioned to harness advances in AI while keeping people at the heart of creative product development. As part of our Data Science team, you'll help address the most pressing challenges emerging from AI-driven development, shape next-generation data science workflows, and build AI-powered tools used by millions of product teams around the world. The ideal candidate will bring strong analytical and technical skills, business intuition, and a collaborative mindset to guide decision-making and unlock growth opportunities. You'll work on problems ranging from understanding user behavior to optimizing revenue strategies, improving internal tooling, and influencing product direction through experimentation and data modeling. This is a full-time role that can be held from one of our US hubs or remotely in the United States. What you'll do at Figma: Collaborate across teams to define and measure key metrics, design experiments, and uncover insights that inform strategic decisions Build models and analytical frameworks to support product, marketing, platform, or finance initiatives Develop tools, datasets, and systems that enable others to work with data more efficiently and rigorously Own complex data projects end-to-end, from framing the business question through to shipping a solution stakeholders act on Champion data quality, accessibility, and the democratization of data across the organization Partner with Product, Engineering, Design, Research, Sales, Marketing, or Finance to drive impact We'd love to hear from you if you have: 4+ years of experience in Analytics, Data Science, or a related field Fluency in SQL and proficiency in a scripting language like Python or R, along with experience working with distributed data systems (e.g., Redshift, Snowflake, Presto, Hive, Spark) Strong foundation in statistical methods, experimentation, and/or forecasting A track record of working cross-functionally and communicating effectively with both technical and non-technical partners Experience supporting one or more of the following: Product, Marketing, Finance, or internal Platform/Tooling teams While it's not required, it's an added plus if you also have: Comfortable defining your own priorities and adapting quickly as priorities shift At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you're excited about this role but your past experience doesn't align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. Pay Transparency Disclosure Job level and actual compensation will be decided based on factors including, but not limited to, individual qualifications objectively assessed during the interview process (including skills and prior relevant experience, potential impact, and scope of role), market demands, and specific work location. Figma offers equity to employees, as well as a competitive package of additional benefits, including health, dental, and vision coverage; retirement benefits with company contributions; parental leave and reproductive or family planning support; mental health and wellness benefits; and paid time off. Figma provides paid sick leave, holidays, and other leave benefits in compliance with applicable federal, state, and local laws, including the requirements of the Washington Minimum Wage Act and related regulations. Exempt employees are eligible for employer‑provided paid flexible PTO in addition to flexible paid sick leave. PTO is subject to manager approval. Additional benefits may include company recharge days, cell phone and home internet reimbursements, and a number of lifestyle spending accounts. Figma also offers sales incentive compensation for most sales roles and an annual bonus plan for eligible non-sales roles. All compensation and benefits are subject to applicable plan terms and may be modified by Figma at any time, consistent with applicable law. Annual Base Salary Range: $140,000 — $348,000 USD At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an equal opportunity workplace - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status , or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to accommodations-ext@figma.com . These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. Examples of accommodations include but are not limited to: Holding interviews in an accessible location Enabling closed captioning on video conferencing Ensuring all written communication be compatible with screen readers Changing the mode or format of interviews To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding. By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with Figma's Candidate Privacy Notice . Application limits: To help candidates focus on the opportunities most relevant to their skills and experience, Figma limits the number and frequency of applications. These limits apply to all roles: Candidates may submit up to 5 applications during any rolling 30-day period. Candidates may not reapply to the same role while an application is active or within 90 days of receiving a rejection. Once the applicable days has passed, candidates are welcome to apply again.

Location: Norway Workplace: remote OVERVIEW Are you passionate about language, detail-oriented, and skilled in identifying nuances in meaning and tone? Join our global network of linguistic professionals and contribute to a high-impact language project that shapes how people interact with AI-powered content worldwide. We’re looking for experienced Linguist Reviewers to help refine and elevate language data by evaluating and enhancing synonyms, word groupings, and phrasing. MAIN DUTIES - Evaluate lists of synonyms and related phrases for accuracy, appropriateness, and naturalness. - Identify linguistic errors, awkward phrasing, or incorrect usage and suggest corrections. - Generate improved or alternative synonyms that better match intended meanings. - Provide insightful linguistic feedback to improve language quality and consistency. - Collaborate with project managers and fellow linguists to meet quality standards and deadlines. PROJECT DETAILS Start Date: Immediately after completing the training process Employment Type: Freelance/Independent Contract Location: Remote Language: Norwegian Pay Rate: $35/hour By applying, you'll become part of our Freelance community, opening doors to a range of projects tailored to your skills and availability, particularly highlighting localization and linguistic expertise. Payment rates for future projects may vary, ensuring fair compensation that reflects your location, industry, and skill set. Joining us means contributing to our current project and becoming part of our dynamic network. This is a unique chance to enhance global user experiences and apply your language skills in meaningful ways. REQUIREMENTS Background in linguistics, translation, copyediting, or related fields Proficient in English Strong knowledge of synonyms, semantics, and contextual meaning Excellent attention to detail and ability to follow linguistic guidelines Previous experience with linguistic QA or content reviewing is a plus Reliable internet connection and ability to work independently When you join Welocalize, you have the opportunity to bring your career to the next level: - receive steady volume of work and a long-term partnership - professional development: work on exciting projects that will empower you keep learning and growing - work with multicultural and international team with a great variety of documents and content types - 24-hour 6 day a week support from our Community team. If this opportunity sound appealing to you, apply below. 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

Location: Athens; Limassol Workplace: hybrid The Role:  The Data Science team at XM is seeking a skilled Senior Data Engineer with a strong background in data science. The ideal candidate should have extensive experience in designing, building, and maintaining data infrastructure and pipelines that support machine learning models and large-scale analytics. The role involves close collaboration with data scientists, data analysts, and other stakeholders to ensure data quality and accessibility, driving data-driven decision-making and implementing AI solutions across the organization. The main responsibilities of the position include: Design, develop, and maintain scalable data pipelines for data transformation and preparation. Prepare datasets for data analysts and data scientists for exploratory data analysis, A/B testing, model training, and validation. Ensure data quality and consistency across various sources. Deploy machine learning models and AI tools to production environments. Collaborate with data scientists to improve data models and support business intelligence tools. Build and maintain data warehousing solutions. Enforce data governance and security policies. Work with cross-functional teams to understand data requirements and provide technical solutions. Mentor junior data engineers and provide technical guidance. Main requirements: MSc or PhD in Data Science, Computer Science, Physics, Mathematics, or a related field. 4+ years of experience with a focus on data engineering and Python software development (Pandas, NumPy, Scikit-learn) Experience with AWS, Google Cloud, or Azure cloud services Extensive experience with relational and non-relational databases. Proven experience with machine learning. Demonstrated experience in big data processing and analytics. Strong analytical thinking and problem-solving abilities. Effective communication skills to convey data-driven insights. Fluency in English Language Benefit from: Attractive remuneration package Private health insurance Corporate pension fund Intellectually stimulating work environment Continuous personal development and international training opportunities The Hiring Experience: What Awaits You Let’s Connect – Intro Chat with Talent Acquisition Deep Dive – First Interview with Your Future Team Bring It to Life – Role-Specific Take-Home Task Final Connection – Final Interview All applications will be treated with strict confidentiality!   By submitting this application, I confirm that I have read and agree to the terms of the Privacy Policy and the Confidentiality Undertaking.

Location: Romania Workplace: remote Job Reference: #LI-JG1 OVERVIEW Are you tech-savvy? Have a passion for quality? We are looking for Data Raters to work on projects aimed at advancing AI technologies. Join us for a unique chance to kickstart your career in the AI field! This project is an excellent starting point for entry-level candidates. We offer comprehensive learning support, making it a great opportunity to gain experience in data annotation and data rating within the AI field—an industry currently in high demand for skilled specialists, especially those with expertise in localization and linguistic proficiency. MAIN DUTIES: *Follow guidelines to check the quality of filters and options in desktop and mobile views. *Check if filters and options help customers make decisions or suggest good alternative products. *Ensure filters and options match what customers are looking for based on their queries. *Determine if the filters and options are relevant and reflect the customer’s preferences. *Review your assessments for accuracy and consistency Project Details Start Date: Immediately after completing the qualification process. Duration: Ongoing Schedule: 5 -15 hours weekly; set your own schedule. This is a freelance opportunity; the workload is based on project needs. Weekly hours may vary. Employment Type: Freelance/Independent Contract Location: Remote Language: Swedish Pay Rate: $10/hour - Based on tasks completed By applying, you'll become part of our Freelance community, opening doors to a range of projects tailored to your skills and availability, particularly highlighting localization and linguistic expertise. Payment rates for future projects may vary, ensuring fair compensation that reflects your location, industry, and skill set. Joining us means contributing to our current project and becoming part of our dynamic network. This is a unique chance to enhance global user experiences and apply your language skills in meaningful ways. Requirements Fully Proficient in Swedish Proficient in English Web-savvy and able to work in a fast-paced environment Preferably, prior experience or familiarity with Relevance tasks and expertise in e-commerce searches/websites. Excellent online research skills Attention to detail Ability to conduct thorough research within specified time constraints and effectively managing short throughputs. Reliable computer system and internet connection Must sign a Non-Disclosure Agreement to protect client confidentiality Completion of a language assessment, learning module, and a mandatory quality test is required prior to starting work. When you join Welocalize, you have the opportunity to bring your career to the next level: ... receive steady volume of work and long-term partnership {where this applies}  ... professional development: work on exciting projects that will empower you keep learning and growing ... work with multicultural, international team with a great variety of documents and content types   ... 24-hour 6-day a week support from our Community team. If this opportunity sounds appealing to you, apply below.  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

Location: Riga, Latvia Workplace: remote OVERVIEW Are you tech-savvy? Have a passion for quality? We are looking for Data Raters to work on projects aimed at advancing AI technologies. Join us for a unique chance to kickstart your career in the AI field! This project is an excellent starting point for entry-level candidates. We offer comprehensive learning support, making it a great opportunity to gain experience in data annotation and data rating within the AI field—an industry currently in high demand for skilled specialists, especially those with expertise in localization and linguistic proficiency. MAIN DUTIES: *Follow guidelines to check the quality of filters and options in desktop and mobile views. *Check if filters and options help customers make decisions or suggest good alternative products. *Ensure filters and options match what customers are looking for based on their queries. *Determine if the filters and options are relevant and reflect the customer’s preferences. *Review your assessments for accuracy and consistency Project Details Start Date: Immediately after completing the qualification process. Duration: Ongoing Schedule: 5 -15 hours weekly; set your own schedule. This is a freelance opportunity; the workload is based on project needs. Weekly hours may vary. Employment Type: Freelance/Independent Contract Location: Remote Language: Swedish Pay Rate: $10/hour - Based on tasks completed By applying, you'll become part of our Freelance community, opening doors to a range of projects tailored to your skills and availability, particularly highlighting localization and linguistic expertise. Payment rates for future projects may vary, ensuring fair compensation that reflects your location, industry, and skill set. Joining us means contributing to our current project and becoming part of our dynamic network. This is a unique chance to enhance global user experiences and apply your language skills in meaningful ways. Requirements Fully Proficient in Swedish Proficient in English Web-savvy and able to work in a fast-paced environment Preferably, prior experience or familiarity with Relevance tasks and expertise in e-commerce searches/websites. Excellent online research skills Attention to detail Ability to conduct thorough research within specified time constraints and effectively managing short throughputs. Reliable computer system and internet connection Must sign a Non-Disclosure Agreement to protect client confidentiality Completion of a language assessment, training, and a mandatory quality test is required prior to starting work. When you join Welocalize, you have the opportunity to bring your career to the next level: ... receive steady volume of work and long-term partnership {where this applies}  ... professional development: work on exciting projects that will empower you keep learning and growing ... work with multicultural, international team with a great variety of documents and content types   ... 24-hour 6-day a week support from our Community team. If this opportunity sounds appealing to you, apply below.  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

Location: Estonia Workplace: remote OVERVIEW Are you tech-savvy? Have a passion for quality? We are looking for Data Raters to work on projects aimed at advancing AI technologies. Join us for a unique chance to kickstart your career in the AI field! This project is an excellent starting point for entry-level candidates. We offer comprehensive learning support, making it a great opportunity to gain experience in data annotation and data rating within the AI field—an industry currently in high demand for skilled specialists, especially those with expertise in localization and linguistic proficiency. MAIN DUTIES: *Follow guidelines to check the quality of filters and options in desktop and mobile views. *Check if filters and options help customers make decisions or suggest good alternative products. *Ensure filters and options match what customers are looking for based on their queries. *Determine if the filters and options are relevant and reflect the customer’s preferences. *Review your assessments for accuracy and consistency Project Details Start Date: Immediately after completing the qualification process. Duration: Ongoing Schedule: 5 -15 hours weekly; set your own schedule. This is a freelance opportunity; the workload is based on project needs. Weekly hours may vary. Employment Type: Freelance/Independent Contract Location: Remote Language: Swedish Pay Rate: $10/hour - Based on tasks completed By applying, you'll become part of our Freelance community, opening doors to a range of projects tailored to your skills and availability, particularly highlighting localization and linguistic expertise. Payment rates for future projects may vary, ensuring fair compensation that reflects your location, industry, and skill set. Joining us means contributing to our current project and becoming part of our dynamic network. This is a unique chance to enhance global user experiences and apply your language skills in meaningful ways. Requirements Fully Proficient in Swedish Proficient in English Web-savvy and able to work in a fast-paced environment Preferably, prior experience or familiarity with Relevance tasks and expertise in e-commerce searches/websites. Excellent online research skills Attention to detail Ability to conduct thorough research within specified time constraints and effectively managing short throughputs. Reliable computer system and internet connection Must sign a Non-Disclosure Agreement to protect client confidentiality Completion of a language assessment, training, and a mandatory quality test is required prior to starting work. When you join Welocalize, you have the opportunity to bring your career to the next level: ... receive steady volume of work and long-term partnership {where this applies}  ... professional development: work on exciting projects that will empower you keep learning and growing ... work with multicultural, international team with a great variety of documents and content types   ... 24-hour 6-day a week support from our Community team. If this opportunity sounds appealing to you, apply below.  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

Location: Poland Workplace: remote OVERVIEW Are you tech-savvy? Have a passion for quality? We are looking for Data Raters to work on projects aimed at advancing AI technologies. Join us for a unique chance to kickstart your career in the AI field! This project is an excellent starting point for entry-level candidates. We offer comprehensive learning support, making it a great opportunity to gain experience in data annotation and data rating within the AI field—an industry currently in high demand for skilled specialists, especially those with expertise in localization and linguistic proficiency. MAIN DUTIES: *Follow guidelines to check the quality of filters and options in desktop and mobile views. *Check if filters and options help customers make decisions or suggest good alternative products. *Ensure filters and options match what customers are looking for based on their queries. *Determine if the filters and options are relevant and reflect the customer’s preferences. *Review your assessments for accuracy and consistency Project Details Start Date: Immediately after completing the qualification process. Duration: Ongoing Schedule: 5 -15 hours weekly; set your own schedule. This is a freelance opportunity; the workload is based on project needs. Weekly hours may vary. Employment Type: Freelance/Independent Contract Location: Remote Language: Swedish Pay Rate: $10/hour - Based on tasks completed By applying, you'll become part of our Freelance community, opening doors to a range of projects tailored to your skills and availability, particularly highlighting localization and linguistic expertise. Payment rates for future projects may vary, ensuring fair compensation that reflects your location, industry, and skill set. Joining us means contributing to our current project and becoming part of our dynamic network. This is a unique chance to enhance global user experiences and apply your language skills in meaningful ways. Requirements Fully Proficient in Swedish Proficient in English Web-savvy and able to work in a fast-paced environment Preferably, prior experience or familiarity with Relevance tasks and expertise in e-commerce searches/websites. Excellent online research skills Attention to detail Ability to conduct thorough research within specified time constraints and effectively managing short throughputs. Reliable computer system and internet connection Must sign a Non-Disclosure Agreement to protect client confidentiality Completion of a language assessment, learning module, and a mandatory quality test is required prior to starting work. When you join Welocalize, you have the opportunity to bring your career to the next level: ... receive steady volume of work and long-term partnership {where this applies}  ... professional development: work on exciting projects that will empower you keep learning and growing ... work with multicultural, international team with a great variety of documents and content types   ... 24-hour 6-day a week support from our Community team. If this opportunity sounds appealing to you, apply below.  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

Location: Ramat Gan WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies Job Responsibilities (include, but not limited to the following) Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures Lead, manage and grow quantitative investment portfolio Contribute to broader firm research and strategic initiatives What You’ll Bring: 2+ years’ experience in developing systematic strategies including a verifiable track record with positive PnL and Sharpe or equivalent research experience Strong programming skills in mainstream quant programming languages, such as Python and C++ Quantitative background - includes degrees in Mathematics, Statistics, Econometrics, Financial Engineering, Operations Research, Computer Science and Physics. The Specialized Portfolio Manager Opportunity: Transparent and formula-based compensation Opportunities to contribute to other research and strategy initiatives Access to *WorldQuant’s alpha pool, portfolio management tools and innovative technology platforms Access to a deep and broad menu of datasets supported by a dedicated data team Cross-asset execution led by a multi-regional trading team Participation in internal research conferences and forums Autonomy to build your own strategies along with several opportunities for collaboration and mentorship Access to AI and Machine Learning opportunities applied to financial markets *WorldQuant, a division of Millennium Capital Management EMEA Israel Ltd #LI-JB1 By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Paris; San Francisco; London; New York; Toronto; Montreal Workplace: Remote WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: Contribute in and provide strong support for model training pipelines, ship state of the art models to production, and bridge the gap between research and production. We have one of the highest ratio of compute to engineers in the world. We do not delineate strongly between engineering and research. Everyone will contribute to writing production code and supporting our research effort depending on individual interest and organizational needs. We have all the compute, data, and talent available for you to do your best work. Please Note: We have offices in London, Paris, Toronto, San Francisco and New York but also embrace being remote-friendly! There are no restrictions on where you can be located for this role. Key Responsibilities: - Design and write high-performant and scalable software for training.  - Improve our training setup from an infrastructure and codebase performance standpoint. - Craft and implement tools to speed up our training cycles and improve the overall efficacy of our training infrastructure - Research, implement, and experiment with ideas on our supercompute and data infrastructure. - Learn from and work with the best researchers in the field. Qualifications: - Extremely strong software engineering skills. - Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR. - Experience with distributed training infrastructures (Kubernetes, Slurm) and associated frameworks (Ray) - Experience using large-scale distributed training strategies. - Hands on experience on training large model at scale and having contributed to the tooling and/or setup of the training infrastructure - Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). Working Location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: London; New York; Paris; Toronto; Montreal Workplace: Hybrid WHO ARE WE? Cohere is the leading security-first enterprise AI company. We build cutting-edge foundation AI models and end-to-end products that are designed to solve real-world business problems. We’re training and deploying frontier models for enterprises who are building AI systems. We believe that our work is instrumental to the widespread adoption of AI and we are looking for folks that want to be part of that. We obsess over what we build. Each one of us is responsible for contributing to increasing the capabilities of our models and the value they drive for our customers. Cohere is a team of researchers, engineers, designers, and more, who are all passionate about their craft. We are a global technology company headquartered in Toronto with key offices in London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul. Join us! Role Overview: As a Performance Engineer in the Pre-Training team you will be responsible for optimizing the performance of our advanced language models and systems. Their primary focus is on improving key model training metrics, such as training throughput, ensuring high accelerator utilization. The team combines expertise in software engineering, machine learning, and low-level kernel design and development to design robust systems and enhance model performance. You will work on identifying and removing performance bottlenecks, develop cutting-edge training and profiling tools to help Cohere's mission of providing efficient and reliable language understanding and generation capabilities and drive innovation in the field of natural language processing. Note: We have offices in London, Toronto, New York and San Francisco, but we’re also remote-friendly! This team operates primarily between ET to CET time zones, so we’re seeking candidates in locations that align with these hours for effective collaboration. Key Responsibilities: - Design and write high-performant and scalable software for training.  - Understand architectural modifications and design choices and their effects on training throughput and quality. - Write low-level CUDA, triton kernels to squeeze every last bit of performance from our accelerators. - Research, implement, and experiment with ideas on our supercompute and data infrastructure. - Learn from and work with the best researchers in the field. Qualifications: - Extremely strong software engineering skills. - Proficiency in Python and related ML frameworks such as JAX, Pytorch and XLA/MLIR. - Experience writing kernels for GPUs using CUDA, triton, etc - Experience using large-scale distributed training strategies. - Familiarity with autoregressive sequence models, such as Transformers. Bonus: paper at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). Working location: This role can be based remotely or from one of our office locations listed on the job description - there is no minimum in-office qualification requirement. We care most about hiring exceptional people regardless of locations, though please check the location listed on the posting for guidance around the core time zone or working hours alignment expected for the role. FULL-TIME EMPLOYEES AT COHERE ENJOY THESE PERKS: - A weekly lunch stipend of $75/£75 or equivalent in your local currency for lunch. - Full health and dental benefits, including a separate budget for mental health. - RRSP matching, 401K, Pension Scheme. - 100% Parental Leave top-up for up to 6 months, for either parent. - Annual enrichment benefits: Arts & culture, fitness/wellness, quality time, and a workspace improvement credit. Education & learning stipend for conferences, courses, and coaching. - 6 weeks of paid vacation (30 working days!) - Budget for traveling to other offices if you are remote, plus an annual company offsite. HOW AND WHERE WE WORK: - Cohere is remote-friendly, but we also have offices in Toronto, London, New York City, San Francisco, Montreal, Paris, Berlin and Seoul with more opening soon. - For those in the office: a daily lunch program, plenty of snacks, and regular community and social events. - For those not near an office: a co-working benefit so you can work alongside others in your city. - Everyone receives a $500 home office stipend to set up your workspace properly. If any of the above doesn’t line up exactly with your experience, we still encourage you to apply. We strive to create an inclusive work environment for all; we welcome applicants from all backgrounds and are committed to providing equal opportunities. Should you require any accommodations during the recruitment process, please submit an Accommodations Request Form https://docs.google.com/forms/d/12a6IrLdF3kI2nonKSr4tiFuz18rLQbaeYV-JM9L4o9Q/edit, and we will work together to meet your needs. We may use AI-enabled tools to screen and assess applicants against the criteria for this position. This helps our recruiters identify potentially qualified candidates, but it doesn't limit the applications our recruiters may review or consider. Beware of Scams: Cohere will never ask for payment or third-party services (e.g., CV writing) as part of our hiring process. All legitimate roles are listed on the Cohere careers page and LinkedIn only, with all communications from Cohere employees coming from an @cohere.com or @cw.cohere email alias. If jobs are viewed on other sites then please verify these through our official careers https://cohere.com/careers page.

Location: Home based - EMEA Canonical is a leading provider of open-source software and operating systems for global enterprise and technology markets. Our platform, Ubuntu, is very widely used in breakthrough enterprise initiatives such as public cloud, data science, AI, engineering innovation and IoT. Our customers include the world's leading public cloud and silicon providers, and industry leaders in many sectors. The company is a pioneer of global distributed collaboration, with 1200+ colleagues in more than 80 countries and very few office-based roles. Teams meet two to four times yearly in person, in interesting locations around the world, to align on strategy and execution. The company is founder led, profitable and growing. We are hiring a Lead Data Governance Engineer with focus on data governance policies, processes, standards, and monitoring in compliance with internal policies and applicable regulatory frameworks, e.g., GDPR, DPA, ISO, etc. A successful candidate will develop Python-based tooling to automate the operations of an internal data mesh solution such as data labeling and quality metrics in a data, access management and data security best practices. The Data Governance team in the Commercial Systems unit has a mission to enable a secure and well-governed access to comprehensive data sets originating at many internal and external data sources formed in a data mesh. The team works with well-known open-source data governance tools such as Trino and Ranger, defines and executes data governance processes, and democratizes the data at Canonical. Location : This role will be based remotely in the EMEA region. The role entails Define, monitor, and execute data governance policies Design, implement, and maintain tooling for automated data mesh operations Deploy and operate services developed by the team Depending on your seniority, coach, mentor, and offer career development feedback Develop and evangelize great engineering and organizational practices What we are looking for in you Exceptional academic track record from both high school and university Undergraduate degree in a technical subject or a compelling narrative about your alternative chosen path Track record of going above-and-beyond expectations to achieve outstanding results Experience with data quality, governance, and security processes and tools Experience with software development in Python and SQL Professional written and spoken English with excellent presentation skills Result-oriented, with a personal drive to meet commitments Ability to travel internationally twice a year, for company events up to two weeks long Nice-to-have skills Performance engineering and security experience Experience with Airbyte, Ranger, Superset, Temporal, or Trino What we offer colleagues We consider geographical location, experience, and performance in shaping compensation worldwide. We revisit compensation annually (and more often for graduates and associates) to ensure we recognize outstanding performance. In addition to base pay, we offer a performance-driven annual bonus or commission. We provide all team members with additional benefits, which reflect our values and ideals. We balance our programs to meet local needs and ensure fairness globally. Distributed work environment with twice-yearly team sprints in person Personal learning and development budget of USD 2,000 per year Annual compensation review Recognition rewards Annual holiday leave Maternity and paternity leave Employee Assistance Program Opportunity to travel to new locations to meet colleagues Priority Pass, and travel upgrades for long haul company events About Canonical Canonical is a pioneering tech firm at the forefront of the global move to open source. As the company that publishes Ubuntu, one of the most important open source projects and the platform for AI, IoT and the cloud, we are changing the world of software. We recruit on a global basis and set a very high standard for people joining the company. We expect excellence - in order to succeed, we need to be the best at what we do. Most colleagues at Canonical have worked from home since its inception in 2004.​ Working here is a step into the future, and will challenge you to think differently, work smarter, learn new skills, and raise your game. Canonical is an equal opportunity employer We are proud to foster a workplace free from discrimination. Diversity of experience, perspectives, and background create a better work environment and better products. Whatever your identity, we will give your application fair consideration. #LI-remote

Location: Yerevan WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role : This is a highly unique opportunity for a Quantitative Researcher to join a new and rapidly growing team. In this role you will partner with a close-knit team of data scientists, data engineers, technologists and data sourcing colleagues to identify and research new sector or broad Alphas based on a deep understanding of fundamentals. Develop a structured and methodical research agenda combining fundamental knowledge, data exploration and quantitative analysis. Become a domain expert on each fundamental topic you cover, identify key information drivers to target your research. Conduct detailed data exploration to acquire a comprehensive understanding of the data used to generate Alphas; enrich a wide range of structured and unstructured data into datasets to enable your quantitative research. Take a process orientated approach to understand the value drivers of your Alphas What You’ll Bring: At least 2 years of relevant financial research experience Proven experience of extracting insights from large and complex datasets using SQL and Python. Experience with alternative datasets a plus. Demonstrable financial knowledge - passed at least Level I of the CFA program, or similar financial qualification (i.e., MBA or accountancy background). Thorough understanding about various valuation approaches and methods. Expertise in time series analysis and models. Proficient in coding in C/C++ and Python. Excellent communications skills (both written and oral English). Strong analytical and conceptual skills encompassing finance and related areas of financial investment. Familiarity with various research/database platforms (Bloomberg, Reuters etc.) would be preferred. What We Offer: Dynamic work without routine in a leading international company; Competitive compensation package, which may include annual bonuses and salary increases; Healthy work-life balance support (flexible start time, parental leave, sabbatical after 5 years of service etc); Possibility for business trips to the US and other countries; Regular team building, competitions and corporate events; Monthly team lunches; Medical insurance; Life insurance; Support program for employees and their relatives on psychological, legal, and financial issues; Parental leave program for secondary care givers; Culture of continuous learning: certification, online and offline training in Armenia and abroad, English classes, mentoring in professional development; Modern office in the city center with coffee, fruits & snacks! Relocation package in certain cases Position based in Yerevan, Armenia. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Taipei WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. The Role: Research is at the core of WorldQuant. Through rigorous exploration and unconstrained thinking about how to apply data to the financial markets, our researchers are in constant search of new alphas. Researchers at WorldQuant employ tested processes seeking to identify high-quality predictive signals that we believe are undiscovered by the wider market. These signals are mathematical expressions of data that are used as inputs in our quantitative models. WorldQuant is seeking an exceptional individual to join the firm as a Quantitative Researcher focusing on Quant Macro signals research. The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets, specialized in futures contracts or Macro asset classes – Commodities, FX, Interest Rates, or Equity Indices. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep thinker who is motivated by unsolved challenges. What You’ll Bring: Degree (BEng, MSc and PhD) from a top university in a field, such as: Mathematics, Computer Science, Physics, Electrical engineering, Financial Engineering that is highly analytical or equivalent Expertise in the typical quantitative research toolkit: data processing, modeling, and visualization in python, R, or C++ Experience with futures contracts or Macro asset classes – Commodities, FX, Interest Rates, or Equity Indices–is not required, but is a significant plus. High GPA and academic grades Research mentality: deep thinker, creative, strong work ethic, persevering, smart & a self-starter Strong interest in learning about worldwide financial markets Strong communication skills in English As a Plus: Strong record of research achievement – examples include scientific publications, conference presentations, grants or industry awards By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Yerevan WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role We are seeking an exceptional Lead Engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization. A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable. What You'll Bring Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 7+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems. Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). Expertise in version control systems (Git), CI/CD practices, and agile methodologies. Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Proven track record of mentoring junior engineers and fostering a collaborative team environment. Experience in the finance industry is a plus but not required. Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus. By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Budapest WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform. WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement. Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it. Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people. The Role We are seeking an exceptional senior-level Python engineer to join a small team working on complex data pipelines, AI/ML systems, and cutting-edge software solutions. This role will be responsible for managing technical objectives, providing technical leadership, and maintaining a hands-on approach to development. The ideal candidate will work closely across teams within WorldQuant as part of our business-facing technology organization. A successful candidate will possess deep expertise in Python development, data engineering, software architecture, and design principles. They should be able to mentor junior team members, conduct code reviews, and drive architectural decisions. Experience with AI and large language models (LLMs) is highly desirable. What You'll Bring Master's degree or higher in Computer Science, Engineering, or a related technical field from a top-tier institution. 5+ years of experience as a Python developer, with a strong focus on data engineering and AI/ML systems. Expert-level knowledge of Python and its ecosystem, including experience with data processing libraries like Pandas, NumPy, and PySpark. Proficiency in designing and implementing scalable, maintainable, and efficient data pipelines. Experience with cloud platforms (AWS, GCP, or Azure) and containerization technologies (Docker, Kubernetes). Expertise in version control systems (Git), CI/CD practices, and agile methodologies. Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical stakeholders. Experience in the finance industry is a plus but not required. Experience with AI/ML frameworks such as PyTorch, or scikit-learn, LLM, agents or systems of agents is a significant plus. What We Offer: Competitive compensation package Core benefits include: premium private health insurance and life insurance with savings plan Support for every aspect of life through Employee Assistance Program and fully covered sick leave Strong culture of learning and development: training courses, library, guest speakers, share and learn events, global conferences Regular offsite team buildings, annual conferences and occasional global summits – opportunity to travel and connect with our local and global teams By submitting this application, you acknowledge and consent to terms of the WorldQuant Privacy Policy. The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction. Copyright © 2025 WorldQuant, LLC. All Rights Reserved. WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.

Location: Canada Workplace: remote OVERVIEW We are seeking skilled and detail-oriented individuals to join our team as AI Data Annotators. In this role, you will be responsible for performing rating and annotation work that is essential to our AI development process. If you are meticulous and passionate about contributing to the advancement of AI technology, we invite you to apply and become a valuable member of our team. This is a temporary, part-time position, offering flexibility and the potential for contract extension based on performance and project needs. MAIN DUTIES - Accurately perform rating and annotation tasks as per project guidelines - Maintain high levels of accuracy and attention to detail in all work - Meet project deadlines and contribute to team objectives - Effectively communicate in both French-Canadian and English Project Details Duration: 2 months (with possibility of extension) Schedule: Minimum of 15 to 20 hours per week This is a freelance opportunity; the workload is based on project needs. Weekly hours may vary. Employment Type: Freelance/Independent Contract Location: Remote Language: French-Canadian By applying, you'll become part of our Freelance community, opening doors to a range of projects tailored to your skills and availability. Joining us means contributing to our current project and becoming part of our dynamic network. This is a unique chance to enhance global user experiences and apply your language skills in meaningful ways. Qualifications Full proficiency in French-Canadian Linguistic competency in the target language equivalent to ILR Level 5 or CEF C2 Advanced competency in English to follow instructions and communicate with our team Ability to dedicate a minimum of 15-20 hours per week to the project Strong attention to detail and accuracy Capability to perform sufficient research within allocated time, working within short throughputs Reliable computer system and internet connection Must sign a Non-Disclosure Agreement to protect client confidentiality When you join Welocalize, you have the opportunity to bring your career to the next level: ... receive a steady volume of work and long-term partnership {where this applies}  ... professional development: work on exciting projects that will empower you to keep learning and growing ... work with multicultural, international teams with a great variety of documents and content types   ... 24-hour 6-day-a-week support from our Community team. If this opportunity sounds appealing to you, apply below.  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 #LI-AD1