Данные и ML вакансии - удалённо

Location: Taiwan Workplace: remote OVERVIEW  We are seeking a Content Reviewer to evaluate and refine AI-generated summaries for locations on a maps product. These summaries are automatically generated for places such as restaurants, parks, and landmarks and require localization and adjustments to ensure accuracy, cultural relevance, and naturalness. As a Reviewer, you will leverage your expertise in writing structure, content, tone, and perspective to ensure summaries are consistent, coherent, and aligned with the required guidelines. You will also conduct research to verify information and refine content for clarity and readability. This freelance role offers flexibility, with task volumes varying based on project needs. If you have a strong language background and enjoy creating culturally accurate content, we’d love to have you on board as a language expert! Project Details Schedule: Flexible workload without a fixed work commitment This is a freelance opportunity; the workload is based on project needs. Employment Type: Freelance/Independent Contract Location: Remote Language: Traditional Chinese (Taiwan) Pay Rate: $24/hour MAIN DUTIES Review guidelines and training content to ensure adherence to the required structure, tone, and style specific to the Traditional Chinese (Taiwan) locale. Occasionally provide feedback or rephrase text to better match the terms, expressions, and cultural nuances of your locale. Edit and adjust AI-generated summaries to enhance clarity, readability, and effectiveness in capturing key points and overall sentiment. Ensure consistency across all summaries while following the provided content guidelines. QUALIFICATIONS AND SKILLS Traditional Chinese (Taiwan) proficiency (C1 or higher) in reading, writing, and comprehension, ensuring effective communication Minimum of 4 years of professional experience in a related field. Advanced writing skills and ability to synthesize and summarize complex information. University degree in a relevant subject matter specialty (e.g., Computer Science, Data Science, AI, Linguistics). Proficiency in applying complex rules related to writing structure, content, and perspective. Competence in researching, validating, and editing content for accuracy and reliability. Knowledge of safety protocols and considerations in AI data delivery. 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

Location: Paris; 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: The integration team is responsible for developing and scaling machine learning algorithms and infrastructure for LLM post-training, with a focus on large-scale, distributed RL methods. We strive for excellence in both engineering and science by meticulously designing experiments and design docs. While tasks are assigned according to everyone’s expertise, there is a global team effort to write production code and support the team research efforts, depending on individual interests and organizational needs. In particular, this role aims to enhance the global quality of the post-training codebase by implementing new tools to ease and support research, optimizing post-training algorithms, and scaling distributed RL to unprecedented levels. Please Note: We have offices in London, Paris, Toronto, San Francisco, New York but we are also remote-friendly! Applicants for this role may work anywhere between UTC−06:00 and UTC+01:00. Key Responsibilities: - Design and write high-performing and scalable software for training models. - Develop new tools to support and accelerate research and LLM training. - Coordinate with other engineering teams (Infrastructure, Efficiency, Serving) and the scientific teams (Agent, Multimodal, Multilingual, etc.) to create a strong and integrated post-training ecosystem. - Craft and implement techniques to improve performance and speed up our training cycles, both on SFT, offline preference, and the RL regime. - Research, implement, and experiment with ideas on our cluster and data infrastructure. - Collaborate, Collaborate, and Collaborate with other scientists, engineers, and teams! Qualifications: - Extremely strong software engineering skills. - Value test-driven development methods, clean code, and strive to reduce technical debts at all levels. - Proficiency in Python and related ML frameworks such as JAX, Pytorch and/or XLA/MLIR. - Experience using and debugging large-scale distributed training strategies (memory/speed profiling). - [Bonus] Experience with distributed training infrastructures (Kubernetes) and associated frameworks (Ray). - [Bonus] Hands-on experience with the post-training phase of model training, with a strong emphasis on scalability and performance. - [Bonus] Experience in ML, LLM and RL academic research. This role is perfect for you if you: - Have a deep passion for quality work. - Enjoy tuning and optimising large LLM models. - Comfortable working with people with different levels of software engineering skills, from beginner to more advanced. - Comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems. - Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions. 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: Toronto; San Francisco; London; New York; Paris; 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: As a Machine Learning Engineer specializing in pretraining data, you will play a pivotal role in developing the data pipeline that underpins Cohere’s advanced language models. In this role, you will conduct data ablations to evaluate data quality and construct pre-training data mixtures to enhance model performance. By combining research and engineering, you will bridge the gap between raw data and cutting-edge AI models, directly contributing to improvements in critical training metrics like throughput and accelerator utilization. Your work will be essential to Cohere’s mission of delivering efficient and reliable language understanding and generation capabilities, driving innovation in natural language processing. If you are passionate about transforming data into the foundation of AI systems, this role offers a unique opportunity to make a meaningful impact. 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 between EST and EU. Key Responsibilities: - Conduct data ablations to assess data quality and experiment with data mixtures to enhance model performance. - Develop robust data modeling techniques to ensure datasets are structured and formatted for optimal training efficiency. - Research and implement innovative data curation methods, leveraging Cohere’s infrastructure to drive advancements in natural language processing. - Collaborate with cross-functional teams, including researchers and engineers, to ensure data pipelines meet the demands of cutting-edge language models. Qualifications: - Strong software engineering skills, with proficiency in Python and experience building data pipelines. - Familiarity with curriculum learning, data mixing and data attribution. - Familiarity with data processing frameworks such as Apache Spark, Apache Beam, Pandas, or similar tools. - Experience working with large-scale datasets, including web data, code data, and multilingual corpora. - Knowledge of data quality assessment techniques and experimentation with data mixtures. - A passion for bridging research and engineering to solve complex data-related challenges in AI model training. 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: 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: 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: 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: 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: 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

Location: San Francisco; New York; Paris; 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: At Cohere, we believe in the power of multimodal AI to revolutionise the way we interact with technology. Our engineering teams push the boundaries of what's possible, and we're looking for talented individuals to join us on this exciting journey. With an exceptional ratio of compute resources to engineers, we provide an ideal environment for you to explore, innovate and shape the future of AI. On July 31st 2025, Cohere's Multimodal team Introduced Command A Vision: Multimodal AI Built for Business. At release our new flagship vision-language model: ● Consistently outperforms major models like Llama 4 Maverick, Mistral Medium/Pixtral Large, and GPT4.1 ● 83.1% average benchmark (73.5% MathVista, 90.9% ChartQA...) ● Built for the real world - 112B parameters running on just 2 GPUs ● Open weights live on HuggingFace With a focused team, breakthrough performance doesn't require breakthrough compute. Focus on the things that matter, and join the team. This role is perfect for you if you: - Have a deep passion for machine learning and its potential to impact various industries through multimodal applications. - Enjoy tuning and optimising large multimodal models, and have experience building evaluations to measure their performance. - Are comfortable diving into complex ML codebases to identify and resolve issues, ensuring the smooth operation of our systems. - Thrive in a fast-paced, technically challenging environment, where you can contribute your innovative ideas and solutions. - Have a history of delivering creative, practical solutions to real-world problems, demonstrating your ability to think outside the box. Key Responsibilities: - Design and develop cutting-edge multimodal AI systems, integrating various modalities such as text, speech, and vision. - Conduct research and experiments on our advanced compute infrastructure, exploring novel ideas in multimodal representation learning, transfer learning, and more. - Collaborate closely with our world-class teams, learning from and contributing to their expertise in the field. Qualifications: - Possess exceptional software engineering skills, with a proven track record of building robust and scalable systems. - Have a strong command of Python and are well-versed in popular deep learning frameworks like JAX, PyTorch, and TensorFlow, with an understanding of their multimodal capabilities. - Knowledge of distributed training strategies, especially for large-scale multimodal models. - Familiarity with autoregressive models, particularly their application in multimodal tasks such as image or video captioning, speech-to-text generation. - Bonus: Publications in top-tier venues demonstrating your expertise in multimodal AI research. - Bonus: Experience in writing efficient GPU kernels using CUDA, optimising performance for multimodal tasks. If you're excited about the potential of multimodal AI and want to be at the forefront of this rapidly evolving field, we want to hear from you! Join us at Cohere and be a part of a diverse, remote-friendly team that's changing the world of AI. 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; San Francisco; New York; Paris; 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! Please note that this is not a live role. We are grateful for your enthusiasm and interest in Cohere and encourage you to submit your resume for future consideration. Should a suitable position become available, we will review your application and reach out to discuss potential opportunities. Role Overview: Design and implement novel research ideas, ship state of the art models to production, and maintain deep connections to academia. 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 conducting research 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 Toronto, London, Paris, 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, build and scale AI systems for serving our users. - 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 Tensorflow, TF-Serving, JAX, and XLA/MLIR. - Experience writing kernels for GPUs using CUDA. - 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). * 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: Remote Workplace: Remote We are building AI to simulate the world through merging art and science. We believe that world models are at the frontier of progress in artificial intelligence. Language models alone won’t solve the world’s hardest problems – robotics, disease, scientific discovery. Real progress requires models that experience the world and learn from their mistakes, the same way that humans do. And this kind of trial and error can be massively accelerated when done in simulation, rather than in the real world. World models offer the most clear path to general-purpose simulation, changing how stories are told, how scientific progress is made and how the next frontiers of humanity are reached. Our team consists of creative, open minded, caring and ambitious people who are determined to change the world. We aspire to continuously build impossible things and our ability to do so relies on building an incredible team. If you are driven to do the same, we'd love to hear from you. *Titles posted to our careers page are updated regularly to best advertise the role and expected seniority, but internally we have a flat titling system with two types of titles: one for individual contributors and one for people managers. ABOUT THE ROLE Building general world models — systems that understand and simulate reality across tasks, modalities, and domains — demands training data that is as rich and varied as the real world itself. We’re looking for Research Engineers to own the data behind our models: what they learn from, how well they learn it, and what new capabilities that unlocks. You will design datasets, run modeling experiments, and build the infrastructure to generate and curate data at scale — directly shaping what our models can do, with applications ranging from creative tools to robotics. WHAT YOU'LL DO - Design multimodal, multitask datasets that teach world models new capabilities — deciding what data to collect, generate, or curate and measuring its effect on model behavior - Run controlled training experiments to understand how data composition drives model performance across tasks and domains - Build and operate large-scale pipelines for synthetic data generation, filtering, and quality control - Define evaluations and benchmarks that measure whether our models are actually improving at the things that matter - Partner with product and creative teams to translate target behaviors and capabilities into concrete data strategies WHAT YOU'LL NEED - 4+ years of experience in machine learning, bonus points for data-centric approaches - Experience with large multimodal datasets and generative models (video, image, or multimodal) - Deep intuition for how data composition and quality translate to model capabilities - Comfort working across the full research stack: data analysis, dataset creation, model training, evaluation, and back again - Proficiency with at least one ML framework (e.g. PyTorch, JAX) and distributed compute tools (e.g. Ray, Kubernetes) - Excitement about building AI that simulates the world Runway strives to recruit and retain exceptional talent from diverse backgrounds while ensuring pay equity for our team. Our salary ranges are based on competitive market rates for our size, stage and industry, and salary is just one part of the overall compensation package we provide. There are many factors that go into salary determinations, including relevant experience, skill level and qualifications assessed during the interview process, and maintaining internal equity with peers on the team. The range shared below is a general expectation for the function as posted, but we are also open to considering candidates who may be more or less experienced than outlined in the job description. In this case, we will communicate any updates in the expected salary range. Lastly, the provided range is the expected salary for candidates in the U.S. Outside of those regions, there may be a change in the range, which again, will be communicated to candidates. WORKING AT RUNWAY Great things come from great teams. https://www.youtube.com/watch?v=kwmj4ato2kw&ab_channel=Runway We’d love to hear from you. We’re committed to creating a space where our employees can bring their full selves to work and have equal opportunity to succeed. So regardless of race, gender identity or expression, sexual orientation, religion, origin, ability, age, veteran status, if joining this mission speaks to you, we encourage you to apply. More about Runway - Universal World Simulator https://runwayml.com/world-simulator.html - GWM-1 https://runwayml.com/research/introducing-runway-gwm-1 - Gen-4.5 https://runwayml.com/research/introducing-runway-gen-4.5 - General World Models https://runwayml.com/research/introducing-general-world-models - Robotics SDK https://runwayml.com/research/introducing-runway-gwm-1#robotics-section - Conversational Real-time Agents https://runwayml.com/research/introducing-runway-gwm-1#avatars-section - Runway Studios https://runwayml.com/studios We're excited to be recognized as a best place to work: Crain's https://www.crainsnewyork.com/awards/best-places-work-2023 | InHerSight https://www.inhersight.com/companies/best/city/new-york-city-ny | BuiltIn NYC https://builtin.com/awards/new-york-city/2024/best-places-to-work | INC https://www.inc.com/best-workplaces/2024

Location: Brazil Workplace: remote Welo Data is an award-winning localization and data transformation company. We run one of the world’s largest Ads Rating Programs and we want you to join!    As an Ads Quality Rater, you will review and grade internet advertisements to help shape how ads are delivered to the end users. In other words, you’ll tell the AI program how good or bad its advertisement suggestions are based on the user’s keywords.   You will review ads in both English and Italian   This role is great for people who:    - Surf the internet daily  - Use major search engines frequently  - Know what people want based on a few keywords  - Enjoy researching topics online - Want a flexible and fun side job Project Details     Job Title: Ads Quality Rater Pay Rate: Based on tasks (approximately $6.5 per hour) Location: Remote/work from home - must be based in Brazil Hours: Set your schedule based on the following – Minimum commitment is 5 hours per week. You can choose to work up to 20 hours per week. Start Date: ASAP Employment Type: Independent Contractor/Freelance/Self-Employed  Project Duration: Long-term Note: - Even though the position is WFH, you must reside in the country that is noted in this description. This will be automatically checked during the hiring process. Recruitment Process   - There is no formal interview for this job! No phone calls, no waiting, and no wasting time wondering whether you got the job or not.   - Instead, you will be guided through a self-paced and automated recruitment process.   IMPORTANT NOTE: Welo Data uses numerous identity checks to ensure that everyone who makes the team is real, qualified, and ready to work. To avoid any misunderstandings, do not use IP masking programs (such as VPNs). Experience & Requirements Fluency in Italian Strong understanding of English (written and spoken) Comfortable knowledge of modern popular culture Reliable computer system and internet connection Familiar with using online search engines Sign a standard Non-Disclosure Agreement and Service Level Agreement Please note that this work is based on project needs. Due to this, weekly hours may vary and flexibility with change is expected. You must legally be able to work on freelance projects in Brazil. To know more details (Click here)

Location: Brazil Workplace: remote Welo Data is an award-winning localization and data transformation company. We run one of the world’s largest Ads Rating Programs and we want you to join!    As an Ads Quality Rater, you will review and grade internet advertisements to help shape how ads are delivered to the end users. In other words, you’ll tell the AI program how good or bad its advertisement suggestions are based on the user’s keywords.   You will review ads in both English and German   This role is great for people who:    - Surf the internet daily  - Use major search engines frequently  - Know what people want based on a few keywords  - Enjoy researching topics online - Want a flexible and fun side job Project Details     Job Title: Ads Quality Rater Pay Rate: Based on tasks (approximately $7 per hour) Location: Remote/work from home - must be based in Brazil Hours: Set your schedule based on the following – Minimum commitment is 5 hours per week. You can choose to work up to 20 hours per week. Start Date: ASAP Employment Type: Independent Contractor/Freelance/Self-Employed  Project Duration: Long-term Note: - Even though the position is WFH, you must reside in the country that is noted in this description. This will be automatically checked during the hiring process. Recruitment Process   - There is no formal interview for this job! No phone calls, no waiting, and no wasting time wondering whether you got the job or not.   - Instead, you will be guided through a self-paced and automated recruitment process.   IMPORTANT NOTE: Welo Data uses numerous identity checks to ensure that everyone who makes the team is real, qualified, and ready to work. To avoid any misunderstandings, do not use IP masking programs (such as VPNs). Fluency in German Strong understanding of English (written and spoken) Comfortable knowledge of modern popular culture Reliable computer system and internet connection Familiar with using online search engines  Sign a standard Non-Disclosure Agreement and Service Level Agreement

Location: United States Workplace: remote OVERVIEW Welo Data is looking for English speakers to join a remote project as a Search Quality Rater. In this role, you will help improve how search engines understand and deliver useful results to users. What you’ll do: Review search results and evaluate how helpful and relevant they are to the user’s query Answer simple true/false questions about the quality of content Rate whether search results meet the user’s needs using clear guidelines Complete straightforward online tasks that contribute to improving AI systems No specialized technical experience is required - we provide the guidelines and support you need to succeed! Please click here for a short demo of these types of tasks: What Does a Search Quality Rater Do? (youtube.com)   Why this work matters: Your feedback helps train and improve AI technology, making search engines smarter and more useful for people around the world. Schedule & Support: Fully remote position Set your own schedule and complete tasks when it’s convenient for you Support is available from the project management team during business hours (Monday–Friday, 9:00 AM – 5:30 PM Pacific) Project Details Job Title: Search Quality Rater Location: Remote, US-based Hours: Minimum 10 hours per week, up to 29 hours per week; set your own schedule Start date: ASAP Employment Type: W2 Part-Time Employee, payment every 2 weeks Longevity of project: 12 months with possibility of extension. This work is based on project needs. Weekly hours may vary. Benefits: Paid Sick Time Employee Assistance Program  Following eligibility requirements:  Medical Insurance Dental Insurance Vision Insurance HSA Voluntary Life Insurance Accident, Critical Illness,Hospital Indemnity Insurance 401(k) Retirement Plan Currently hiring in: Alabama, Florida, Georgia, Indiana, Kansas, Kentucky, Montana, New Hampshire, North Carolina, Ohio, Oklahoma, Pennsylvania ,South Carolina, Tennessee, Texas, Utah, Virginia, West Virginia, Wisconsin. Applicants must be of at least 18 years of age to apply. Requirements Fluency in English Strong understanding of popular culture in the United States Must be dedicated only to "Search Quality rating program" and NOT other search or ads rating programs Must not have current or previous experience with "Ads quality rating" Web-savvy and able to work in a fast-paced environment Excellent online research skills Reliable computer system and internet connection Reliable anti-virus software (as you will be surfing the web as part of the work) Ability to follow instructions in English and comply with the project conventions and rules expected by the client Must sign a Non-Disclosure Agreement to protect client confidentiality Must pass learning modules and a required quality test designed by our client before starting work Recruitment process Application & Initial Screening: Submit your interest through our Careers Page and answer a few brief project-related questions. Candidate Portal Registration: Keep an eye on your inbox! You’ll receive an invite to create your profile on our internal platform , where you will complete your final application steps. Skill & Language Evaluation: Take a quick assessment to showcase your linguistic expertise. Project Guidance: Access our exclusive "Know-How" guides and project documentation to set you up for success. Client Exam: Complete a client entrance exam to ensure you're ready for the live project. Onboarding & Launch: Once verified (ID & Tax only), you’ll be officially onboarded. Set your own schedule and start working! In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification form upon hire.  In addition, we employ anti-fraud checks to ensure all candidates meet the requirements of the program. If you are currently working or have previous experience as an "Ads Quality Rater", unfortunately, you will not be able to work on our Search Quality Rating project. However, we often have an open Ads Rating job posting. Please check our careers page here to apply: https://jobs.lever.co/welocalize

Location: France Workplace: remote Welo Data is an award-winning localization and data transformation company. We run one of the world’s largest Ads Rating Programs and we want you to join!    As an Ads Quality Rater, you will review and grade internet advertisements to help shape how ads are delivered to the end users. In other words, you’ll tell the AI program how good or bad its advertisement suggestions are based on the user’s keywords.   You will review ads in both English and Dutch   This role is great for people who:    - Surf the internet daily  - Use major search engines frequently  - Know what people want based on a few keywords  - Enjoy researching topics online - Want a flexible and fun side job   Project Details     Job Title: Ads Quality Rater - Dutch (France) Pay Rate: Based on tasks (approximately $14 per hour) Location: Remote/work from home - must be based in France Hours: Set your schedule based on the following – Minimum commitment is 5 hours per week. You can choose to work up to 20 hours per week. Start Date: ASAP Employment Type: Independent Contractor/Freelance/Self-Employed  Project Duration: Long-term   Note: - Even though the position is WFH, you must reside in the country that is noted in this description. This will be automatically checked during the hiring process.   Recruitment Process   - There is no formal interview for this job! No phone calls, no waiting, and no wasting time wondering whether you got the job or not.   - Instead, you will be guided through a self-paced and automated recruitment process.   IMPORTANT NOTE: Welo Data uses numerous identity checks to ensure that everyone who makes the team is real, qualified, and ready to work. To avoid any misunderstandings, do not use IP masking programs (such as VPNs). Job Requirements Fluency in Dutch Strong understanding of English (written and spoken) Comfortable knowledge of modern popular culture Reliable computer system and internet connection Familiar with using online search engines Sign a standard Non-Disclosure Agreement and Service Level Agreement Please note that this work is based on project needs. Due to this, weekly hours may vary and flexibility with change is expected. You must legally be able to work on freelance projects in the France.   To know more details (Click here)