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Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Turkish language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Spanish language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   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.     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   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level German language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   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.     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   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour   Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level Italian language proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks.

Location: California; Sunnyvale, CA; San Francisco, CA; Seattle, WA; Redmond, Washington; Burlingame, CA; New York City Metropolitan Area; Los Angeles, CA; Washington, D.C.; Boston, MA Workplace: onsite Overview Welo Data is looking for sharp, curious, and detail-oriented individuals to join our team as Data Labeling Associate. This is not a traditional annotation role. You’ll be working directly with cutting-edge AI systems — evaluating outputs, identifying gaps, and helping improve how these systems behave in real-world scenarios. The work sits at the intersection of data quality, model evaluation, and human judgment, where your ability to think critically matters just as much as following guidelines. We’re looking for people who are naturally curious about AI, comfortable forming opinions, and confident in contributing to conversations with teammates, leads, and stakeholders. Project Details Job Title: Data Labeling Associate Hiring in: Onsite (Bay Area, Seattle, NYC, or client-dependent)  Hours: Full-time, 40 hours per week Employment Type: W2 Full-Time Employee Work Authorization: Must be authorized to work in the U.S. (no visa sponsorship) Pay Rate: $34/hour Important: This is a 100% onsite position — remote work is not available for this role. To be considered, candidates must be located in or able to commute to one of the following cities: NYC, Seattle, Bellevue, Redmond, San Francisco, Sunnyvale, Burlingame, Austin, Los Angeles, Washington DC, Chicago, Boston, Austin. Please only apply if you meet this location requirement. What You’ll Do Evaluate AI model outputs and provide structured, high-quality feedback Perform audit-based reviews of data and model behavior — identifying patterns, edge cases, and failure modes Apply guidelines thoughtfully — and flag when they don’t reflect real-world scenarios Contribute to improving evaluation frameworks, not just executing them Identify trends in model performance and communicate insights clearly Participate in team discussions, calibrations, and stakeholder syncs Partner with leads and cross-functional teams to refine quality standards Document findings in a clear, concise, and actionable way What We’re Looking For Native-level French proficiency and a university degree (Bachelor’s or higher). B2 or superior level of English. 1–2 years of professional writing experience with strong, structured writing skills Ability to apply complex writing rules and guidelines consistently Strong understanding of safety considerations in GenAI data delivery, with 2+ years of relevant experience Strong critical thinking and attention to detail Ability to make sound judgment calls in ambiguous situations Naturally curious about AI, technology, and how systems behave Comfortable speaking up, asking questions, and contributing ideas Strong written and verbal communication skills Ability to stay consistent while working with evolving guidelines Experience in data quality, QA, annotation, or analysis is helpful — but not required Benefits Paid Vacation: 6 days Paid Company Holidays: 2 days (Memorial Day and Labor Day) Paid Sick Leave: accrued per applicable state law and company policy Medical, Dental, and Vision Insurance (eligibility applies) Health Savings Account (HSA) 401(k) Retirement Plan Employee Assistance Program Additional voluntary benefits (life, accident, critical illness, etc.) Free Gourmet Food: Free breakfast, lunch, and dinner are provided, featuring a wide variety of cuisines in multiple cafes. Micro-kitchens & Snacks: Offices are stocked with free snacks and beverages, including premium coffee and La Croix. Unique Campus Features: Some locations include roof-top nature parks Commuter Benefits: Free transport, shuttles, and sometimes bike-to-work perks. Please note that in order to verify work authorization as is required by Federal law (I-9 process), all new employees must complete a live video verification with their selected IDs and provide photos of these selected IDs within their first 3 days of employment.   To know more details (Click here)   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.     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   To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions. Why This Role This is an opportunity to move beyond traditional data work and play a direct role in how AI systems are evaluated and improved. The work is fast-moving, collaborative, and increasingly central to how modern AI systems are built and deployed.

Location: VIKING OCEAN CRUISES, Worldwide ISMIRA Agency actively recruiting for position ASSOCIATE GENERAL MANAGER for VIKING OCEAN CRUISES! Purpose of position: Reporting directly to the General Manager, the Associate General Manager is overall responsible for the entire ship financial operation, including revenue and cost management, as well as guests and crew administration. Responsible to implement and enforce all necessary actions to ensure the Viking Ocean Product is de-livered smoothly and flawlessly, in line with budget and targets. Viking is a strong and dynamic company with a growing fleet of more than 80 river ships and eight ocean vessels cruising over 100 itineraries around the world. In 2022, Viking guests could enjoy the comfort and elegance of our award-winning fleet with 8 new river ships, two expedition ships built specifically to explore the world's most remote destinations, and a unique Mississippi River ship in the U.S. In 2023 Viking celebrates the inaugural season of our Ocean vessel the Viking Neptune and our 9th Ocean vessel the Viking Saturn. WHY IS IT COOL TO BECOME A VIKING? Paid flights to and from the ship Legal employment 6 months on, 2 months off based on 10-hour work day Fixed return dates at the end of your contract Free shipwide Wi-Fi Free accommodation Opportunities for growth and advancement in your career RESPONSIBILITIES Overseeing the ship financial operation, reporting and statistics and internal auditing as required, including accounting, payroll and cruise closing Ensure that all Hotel Department operations are conducted economically, in alignment with financial targets. Overseeing and accountability for ship’s funds and cash availability. Receive weekly inventory reports from all sources in the Hotel Department, ensuring that supplies are sufficient but not excessive. Responsible for the accurate submission of Cruise End financial reports. Plan all Shop/Concessionaire’s events with Department Heads. Overseeing sale of shore excursions and tour dispatches. To be familiar with the legal aspects of Crew employment, Health and Safety at work, the company’s SMS and Environmental Policies and all other company directives governing the administration of Crew and Port Operations. Active involvement and ownership in all F&B outlets including quality and service assurance by identifying flows and establishing a healthy and effective training routine. Provide visible leadership by example while interacting with guests and crew Proven skills to be confident when dealing with Guest feedback Support all teams during peak hours, be available to guests and crew for feedback and general inquiries. ETC. YOUR PROFILE Minimum 21 years old Min. 5 years Food & Beverage Manager or Assistant General manager or higher in a luxury/ premium property, with a minimum of 3 years of ships and managing experience in this position or higher Diploma from international recognized hotel school or university. Financial background and Exposure to Budgeting and financial analysis. Proven public health knowledge. Completed appropriate HR training, craft training or equivalent. Excellent English skills in both writing and speech, other languages a plus Service and detail oriented with a strong guest focus Excellent management, organizational and communication skills NOTE: Nationalities that we can process: 🇱🇹 🇱🇻 🇪🇪 🇵🇱 🇷🇺 🇧🇾 🇺🇦 🇲🇩 🇰🇿 🇺🇿 🇦🇲 🇬🇪 🇦🇿 🇹🇯 ! 🇰🇬 🇹🇲 citizens can be accepted if they know and speak Chinese language (Mandarin) You can submit your Resume here by pushing APPLY TO POSITION button below If you are not sure what position to apply for, you may instead submit a general application here and we will advise you: https://ismira.breezy.hr/p/c3fb653b09b501-general-application-for-hospitality-positions Last updated: February 3, 2025

Location: Cornell Center Animal Hospital - Beaverton, Oregon 🐾We're Hiring: Veterinarian at Cornell Center Animal Hospital !🐾 📍 Cornell Center Animal Hospital | Beaverton, Oregon Looking for a clinic that truly values collaboration, mentorship, and work life balance ? Cornell Center Animal Hospital, an AAHA accredited small animal practice in Beaverton, is excited to welcome a compassionate veterinarian to our close knit, supportive team. Whether you’re early in your career or a seasoned clinician, you’ll find an environment where your voice matters and your wellbeing comes first . About Us: Cornell Center Animal Hospital is a two-doctor practice with a strong focus on high quality, medicine first care . Our culture is built on c ommunication, trust, and teamwork , and we believe a happy, supported team delivers the best outcomes for patients and clients. We also value flexibility and are open to shaping the role and schedule around what works best for you. What We Offer: Flexible scheduling options, with full time benefits starting at just 30 hours per week Competitive compensation including a strong base salary, monthly production bonus with no negative accrual , and sign on or relocation support Excellent benefits including medical, dental, vision, HSA or FSA options, 401k with match, PTO, CE allowance, and license and membership reimbursement Mentorship and professional growth , with a generous CE allowance and opportunities to expand your skills A positive, respectful culture where collaboration and kindness are core values Life in Beaverton: Enjoy suburban comfort with quick access to Portland’s dining, arts, and culture, along with beautiful parks and endless Pacific Northwest outdoor adventures. About Lakefield Veterinary Group: As part of a family-owned organization , Cornell Center Animal Hospital maintains hospital autonomy while benefiting from the support and resources of Lakefield Veterinary Group. Let’s Connect: If you’re looking for a fulfilling role in a collaborative, growth-oriented practice, we’d love to hear from you. Please contact Jessi Wootten at jessi.wootten@lakefieldvet.com or apply directly at Lakefield Careers #LI-JW1

Location: Remote - United States Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: Remote - Canada Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. Labeling elements of a piece of content rather than the content as a whole. Assigning predefined categories or labels to items. Evaluating the perceived quality and/or appropriateness of content Generating labels to advance understanding of a concept, trend etc. Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. Ordering or ranking items based on a set of preferences or criteria. Creating prompts or questions that will be used to generate responses from a language model or other AI system. Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). Generating responses to prompts or questions using a language model or other AI system. Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. Producing concise summaries of longer pieces of text or data. Converting spoken language or audio content into written text. Converting text or spoken language from one language to another. Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $21 CAD p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process. To learn more on how to recognize job scams, please visit the Federal Trade Commission’s guide at https://consumer.ftc.gov/articles/job-scams. If you believe you’ve been targeted by a recruitment scam, please report it to Innodata at verifyjoboffer@innodata.com and consider reporting it to the FTC at ReportFraud.ftc.gov .

Location: New York, New York Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally. As a Consumer Growth Marketing Associate at Via, you will design the programs, campaigns, and outreach strategies that connect riders to our transportation services across the United States and beyond. You will oversee a variety of strategic marketing tactics, from paid social and out-of-home to lifecycle communications. You will have the opportunity to shape initiatives from initial ideation to execution and measurement, meaningfully improving transportation outcomes for our partners and the local communities we serve. About the Role: Build end-to-end lifecycle programs based on quantitative and qualitative market research, tailoring strategies to specific customer segments and key use cases. Launch and optimize multi-channel marketing initiatives, collaborating across internal and partner teams to monitor performance and refine engagement strategies. Drive rider growth through experimentation, consistently identifying and testing new initiatives to supplement our existing acquisition and retention playbooks. Conduct rigorous funnel analysis to pinpoint opportunities for improvement across the rider journey, from signup conversion to long-term loyalty. Scale community-specific programs by identifying winning local tactics and developing the replicable processes and playbooks needed to deploy them in similar markets. Manage data reporting and dashboards, tracking key metrics to communicate clear strategies and actionable insights to both internal and external stakeholders. About You: Minimum of 0–2 years of experience with a strong interest in growth marketing and a demonstrated ability to turn data into actionable insights. Customer-centric storyteller with exceptional written and interpersonal communication skills, particularly in explaining complex ideas to diverse audiences. Resourceful, a problem solver who is motivated by high levels of ownership and the opportunity to have a measurable impact. Proactive, a critical thinker with a no-task-too-small attitude while navigating a fast-paced environment. Analytical and data-oriented, excited to develop your quantitative skills and turn data into insights Compensation and Benefits: Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable. Salary Range: $65,000-$85,000 We are proud to offer a generous and comprehensive benefits package, including free medical plans, 401K matching, catered lunch on Wednesdays, and many other perks. There has never been a more exciting time to be on the cutting edge of public mobility. Ready to join the ride? Via is an equal opportunity employer.

Location: MARGARITAVILLE, Worldwide We are hiring a Shorex Associate position for cruise company Margaritaville at Sea! At Margaritaville at Sea our core purpose is to create and deliver fun and escapism. This drives all we do and is the heart of our decision making. As a valued member of our team, you'll contribute to providing an incredible guest experience every day of each cruise and in every way. You’ll also have opportunities to advance your career as we continue to grow. Your career path with us starts here. As a Shorex Associate , you will support the Shore Excursion Manager in delivering exceptional guest service and efficient sales operations related to all tours and experiences offered on and off the ship. This role involves assisting guests with booking excursions, providing detailed information, handling issues or complaints, promoting onboard activities and premium experiences, and consistently working toward revenue targets while maintaining professional standards. The ideal candidate is enthusiastic, organized, guest-focused, sales-driven, and a strong team player 🚢 Benefits to work on board Margaritaville at Sea: Cruise Line founded by former crew member Embrace the Margaritaville lifestyle and deliver the FUN Free joining tickets, accommodation, food and Wi-Fi for crew Industry leading Salaries and Benefits + excellent tips Focused on Crew Career Progression Great Crew Recognition Programs and friendly atmosphere Make Memories combining Work and Travel ⚓ RESPONSIBILITIES: Promote and sell all available shore excursions to maximize revenue. Provide accurate and detailed information to guests regarding tour offerings. Proactively upsell and upgrade tours during guest interactions. Ensure consistently high levels of guest satisfaction through exceptional service and support. Handle and resolve guest complaints and refund requests professionally. Dispatch excursions shoreside in conjunction with local tour operators. Maintain clear communication with tour operators regarding guest counts and service requirements. Assign escorts and guides for excursions, and serve as a translator or representative when needed, etc. ⚓ REQUIREMENTS: Minimum 21 years old Relevant ship experience is preferred Good level of English language Ship experience is preferred Ability to communicate tactfully and effectively with guests, department heads and crewmembers to foresee and resolve problems and negotiate resolutions. NOTE: Nationalities that we can process: 🇪🇺 🇷🇺 🇧🇾 🇺🇦 🇲🇩 🇰🇿 🇰🇬 🇺🇿 🇦🇲 🇬🇪 🇦🇿 🇹🇯 🇹🇲 You can submit your Resume here pushing APPLY TO POSITION button above If you are not sure what position to apply for, you may instead submit general application here and we will advise you: https://ismira.breezy.hr/p/c3fb653b09b501-general-application-for-hospitality-positions Last updated: April 13, 2026

Location: New York City Via is using technology to transform transportation around the world. From changing a single person’s daily commute to reducing humanity’s collective environmental footprint — we’ve got huge goals. As an Implementation Associate at Via, you play a huge role in making these goals a reality on the ground. You will serve as the critical bridge between our commercial and technical teams as we launch transformative public transit services around the world. You will be responsible for the technical configuration and delivery of TransitTech products, collaborating with a variety of teams at Via to ensure every partner gets a world-class system tailored to their needs. In this role, you'll get your hands on every corner of Via's product ecosystem, becoming a go-to resource across the org for commercial teams, engineers, product managers and more. What You'll Do: Build and execute rigorous test plans across a wide variety of platforms (iOS, Android, web, and more), holding the bar high on quality and user experience. Ensure real-world scenarios and user expectations are accurately simulated before launch – because what goes live is what real riders experience on the ground. Be the connective tissue between Business and Technical teams, translating real-world partner needs into polished, production-ready TransitTech products. Collaborate with Product, R&D, and Expansion teams across the globe, ensuring everyone is aligned, informed, and moving fast. Own projects end-to-end – from scoping and planning all the way to delivery – acting as the technical project manager who keeps everything on track and on time. Who You Are: Go-getter with 0-2 years of professional work (or work-study) experience. You communicate clearly and confidently, and are able to translate complex technical concepts for any audience. You love digging into the technical details to understand systems and drive continuous improvements. You’re equally comfortable collaborating across teams and working independently. You thrive in fast-paced environments where priorities shift — and you never let that become an excuse for slipping on quality. You're genuinely excited about technology and obsessed with the end-user experience. A background in computer science or a related technical field strongly preferred. Compensation and Benefits: Final salary will be determined by the candidate’s experience, knowledge, and skills. Salary reflected does not include equity or variable pay, where applicable. Salary Range: $65,000 - $85,000 per year. We are proud to offer a generous and comprehensive benefits package, including free medical plans and 401K matching. Ready to join the ride? Via is an equal opportunity employer.

Location: Tokyo, Japan Freelance Trainer & Associate Consultant (Luxury Retail / Customer Experience) Location: Japan | Engagement Type: Freelance / Project-based Role Positioning (Please Read Carefully) This is not a generic training role. You are expected to deliver impactful training and translate business challenges into actionable behaviors. Key Responsibilities 1. Training Delivery (Core): Deliver workshops for frontline and managers on service excellence, VIC clienteling, sales and leadership. 2. Business Translation: Translate business issues into behavioral standards and training solutions linked to KPIs. 3. Content Adaptation: Customize CXG frameworks and localize for APAC. 4. Light Consulting Support: Support workshops and provide structured feedback. Requirements Mandatory Requirements (Non-negotiable) Luxury / Premium Brand Experience: Must have hands-on experience (retail, clienteling, L&D). Training Experience: Experience training frontline and managers with strong facilitation skills. Business Understanding: Ability to connect training with business outcomes. Preferred Profile Store manager / L&D / consulting experience preferred. Extensive experience in the automotive industry highly preferred. Language: Japanese & English delivery What We Do NOT Look For Generic trainers without retail experience or purely theoretical profiles. Application Requirements CV + Training portfolio + 1 case (business challenge, solution, impact) Benefits To be discussed during the interview.

Location: Seoul, South Korea Freelance Trainer & Associate Consultant (Luxury Retail / Customer Experience) CXG 外部合作讲师 / 轻咨询顾问（奢侈品零售 / 客户体验） Location: Korea | Engagement Type: Freelance / Project-based 工作地点：韩国｜合作形式：自由职业 / 项目制合作 Role Positioning (Please Read Carefully) 岗位定位（请务必阅读） This is not a generic training role. You are expected to deliver impactful training and translate business challenges into actionable behaviors. 这不是一个通用型讲师岗位。你需要既能交付高质量培训，又能将业务问题转化为可执行行为。 Key Responsibilities 岗位职责 1. Training Delivery (Core): Deliver workshops for frontline and managers on service excellence, VIC clienteling, sales and leadership. 1. 培训交付（核心）：为一线及管理者提供培训，包括服务、VIC客户经营、销售转化及领导力。 2. Business Translation: Translate business issues into behavioral standards and training solutions linked to KPIs. 2. 业务转化：将业务问题转化为行为标准与培训方案，并与业务指标挂钩。 3. Content Adaptation: Customize CXG frameworks and localize for APAC. 3. 内容定制：基于CXG方法论进行客户化与本地化。 4. Light Consulting Support: Support workshops and provide structured feedback. 4. 轻咨询支持：参与客户讨论并提供结构化反馈。 Requirements Mandatory Requirements (Non-negotiable) 任职要求（硬性条件） Luxury / Premium Brand Experience: Must have hands-on experience (retail, clienteling, L&D). 奢侈品经验：必须具备深度在场经验（门店、客户经营或内部培训）。 Training Experience: Experience training frontline and managers with strong facilitation skills. 培训经验：具备一线及管理者培训经验，具备良好授课能力。 Business Understanding: Ability to connect training with business outcomes. 业务理解：能将培训与业务结果（转化、客户体验等）连接。 Preferred Profile 优先考虑 Store manager / L&D / consulting experience preferred. 有店长、培训或咨询经验优先。 Extensive experience in the automotive industry highly preferred. 汽车行业经验丰富者尤其优先。 Language: Korean & English delivery or Korean & Chinese delivery 语言要求：可以用韩语和英语授课或者韩语和中文授课 What We Do NOT Look For 不考虑人选 Generic trainers without retail experience or purely theoretical profiles. 无零售经验的通用讲师或纯理论型人员。 Application Requirements 应聘要求 CV + Training portfolio + 1 case (business challenge, solution, impact). 简历 + 培训案例 + 1个案例说明（业务问题、方案及结果）。 Benefits To be discussed during the interview. 服务费用面议

Location: Aalborg, Denmark About Wolt At Wolt, we create technology that brings joy, simplicity and earnings to the neighborhoods of the world. In 2014 we started with delivery of restaurant food. Now we’re building the delivery of (almost) everything and you’ll find us in over 500 cities in 30 countries around the world. In 2022 we joined forces with DoorDash and together we keep on dreaming big and expanding across the globe. Working at Wolt isn’t always easy, but it’s definitely exciting. Here you’ll learn more, build more, and ship more than in most other companies. You’ll be challenged a lot, but also have a lot of fun on the way. So, if you’re a self-starter with drive and entrepreneurial spirit, this could be the ride of your life. Calling all team-players - are you looking for a flexible role that could shape the future of retail? If so, then let’s talk! We are looking for part-time Grocery Associates to join our Wolt Market team in Aalborg, Denmark! 🤩 What you’ll be doing Taking in orders through our Merchant app Picking and packing groceries, and handing them to customers and courier partners Unloading food and supplies that we receive from vendors Managing our internal systems which include precise information about nutrients and allergens Maintaining order and cleanliness of the store Our humble expectations You are proactive and a fast learner with the ability to multitask This is a student-friendly role offering flexible, part-time working hours. Flexible shifts, including evenings and weekends. Experience from working in a grocery store is an advantage. Fluent English. Danish is a plus! You have the right to work in Denmark What you’ll get by joining us: Wolt credits cashback benefit Employee assistance program Wolt-wide training programs If you are excited about working in a high-growth environment, taking ownership, and being part of an extremely ambitious team, then click below to apply and get the conversation going! We will be reviewing applications on a n on-going basis, so send through your application along with your CV as soon as possible! 💙 Our Commitment to Diversity and Inclusion We’re committed to growing and empowering a more inclusive community within our company, industry, and cities. That’s why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel. Beware of recruitment scams: DoorDash, Deliveroo, and Wolt will never ask you to pay money or share sensitive financial information during hiring — learn more about our legitimate recruiting process at Recruitment Scam Awareness - DoorDash .

Location: Cape Town About the role As an Operations Support, you will be responsible for developing reports to optimize fraud detection and operational efficiency, maintaining and improving internal SOPs, tools and knowledge base, and monitoring payment systems and PSPs (Grafana, Slack) for real time alerts. This will be a night shift role hours from 23:00pm - 07:00am and hybrid located at our Cape Town office. What you'll be doing Handling day-to-day backend operations including query resolution, content management and escalations Monitoring and managing Customer Service operations Analyse Customer Service processes and help identify areas of performance or process improvements Handling level 2/3 escalations providing support to our Customer Service team by analysing data and customer history Escalations to the Product, Technology, Trading and Payment teams as required To reconcile online payment transactions and monitor the success rate from downstream service providers To check potential fraud activities to mitigate the risk in online transactions, and escalate issues promptly if needed To execute daily & monthly payment review and provide reports if needed Website content management including banners, comments filtering, promotion landing pages, website content Handle customer queries via Social Media, Web Chat, E-mail and Calls What you'll bring Fluency in English Strong Excel/Google Spreadsheet skills Current or previous experience in the iGaming/Sports betting industry 1+ years of Level 2 Support or Payment/Tech specialist in gaming and an interest in sports is preferred Detail-oriented Analytics-driven Should be able to work on flexible shifts, including possibly working on public holidays and weekends If you're interested, we encourage you to apply! Every application is reviewed by a member of our team (AI is not used in our recruitment process), and we aim to respond within 48 hours. We are committed to maintaining a fair, secure and authentic recruitment process. Applications submitted using false, misleading or fraudulent information, including impersonated or fake profiles, will not be considered. Where reasonably necessary to protect the integrity and security of our recruitment process, we may verify a candidate’s identity and/or the accuracy of information provided during the recruitment process. Any such checks will be carried out in a proportionate and appropriate manner and in accordance with applicable data protection and employment laws.

Location: Argentina; Mexico; Colombia; Brazil; Uruguay Role Overview Our client is seeking a Senior Accounting Associate based in Latin America to handle the day-to-day execution of core accounting functions for a fast-growing, multi-site U.S. manufacturing company. This is a hands-on, detail-intensive role — the Senior Accounting Associate will book journal entries, perform reconciliations, maintain the general ledger, process transactions, and produce close deliverables on a recurring cycle. This position requires a strong combination of manufacturing accounting experience, month-end close ownership, Accounts Payable (AP) expertise, C1/C2 English proficiency, and previous experience supporting U.S.-based companies or the U.S. market. Day-to-Day Accounting Execution Prepare and book journal entries, accruals, deferrals, reclassifications, and month-end adjusting entries across multiple entities. Perform account reconciliations on a recurring cycle — cash, AR, AP, prepaids, fixed assets, intercompany, and clearing accounts. Maintain and update the general ledger — ensure transactions are properly classified, coded, and posted on time. Process and review accounts payable transactions, ensuring proper coding, approval documentation, and timely entry. Process and track accounts receivable transactions, including invoicing support and collections follow-up as needed. Reconcile bank accounts, credit card statements, and intercompany balances. Prepare supporting schedules, workpapers, and reconciliation files for the monthly close. Close Process & Reporting Execute assigned close tasks on schedule — this role will own specific deliverables within the monthly close calendar. Prepare monthly financial schedules, flux analysis, and variance explanations for review by the Accounting Manager. Compile data and produce management reports, cost summaries, and project-level financial data as requested. Maintain organized, audit-ready documentation for all journal entries, reconciliations, and supporting schedules. Manufacturing & Project Accounting Support Enter and reconcile job cost transactions, material receipts, and work-in-progress entries. Track project-level costs, labor allocations, and inventory transactions in the ERP system. Flag and escalate cost discrepancies, coding errors, or missing documentation to the Accounting Manager and operations contacts. Assist with project profitability reporting, margin schedules, and manufacturing variance analysis. Process Improvement & Controls Build and maintain reconciliation templates, close checklists, and standard operating procedures for recurring accounting tasks. Identify and flag errors, inconsistencies, or gaps in transaction processing and documentation. Prepare audit and tax schedules, pull supporting documentation, and respond to auditor and tax preparer requests. Support ERP system maintenance — help clean up chart of accounts, standardize coding, and improve reporting accuracy. Required Qualifications Bachelor's degree in Accounting, Finance, or equivalent. Minimum 2 years of public accounting experience (Big 4, national, or large regional firm — international equivalents accepted). 4+ years of total accounting experience. Strong working knowledge of U.S. GAAP, including accrual accounting, revenue recognition principles, and cost capitalization. Hands-on experience preparing journal entries, account reconciliations, accruals, and month-end close deliverables. Strong Excel skills — pivot tables, VLOOKUP/XLOOKUP, data manipulation, and reconciliation workbooks. Experience with ERP or accounting systems (NetSuite, QuickBooks, or similar). Professional-level English proficiency — written and verbal. Ability to work independently with minimal supervision across time zones. Reliable internet connection and dedicated home office setup. Available to overlap with U.S. Eastern Time business hours (minimum 6 hours of overlap daily). Key Responsibilities Record and post daily financial transactions, including journal entries, vendor invoices, cash receipts, and expense reports Perform daily cash reconciliations across multiple bank accounts and resolve discrepancies Support the monthly close process, including accruals, reconciliations, and journal entries Maintain accurate and organized financial records to ensure audit readiness Assist with accounts payable and accounts receivable processes Collaborate with operations and purchasing teams to ensure proper expense coding and timing Prepare supporting schedules for balance sheet and income statement accounts Assist in the preparation of monthly and quarterly financial reports Support audits and provide documentation to external auditors and tax advisors Contribute to process improvements and internal control enhancements Requirements Manufacturing accounting experience. Strong month-end close experience and ownership. Solid Accounts Payable (AP) experience. C1/C2 English proficiency , with the ability to communicate fluently with U.S. clients and teams. Previous experience supporting U.S.-based companies or working within the U.S. market. Nice to Have Experience with job costing or project accounting Exposure to multi-entity or multi-state environments Familiarity with inventory or cost accounting concepts Interest in growing into a senior accounting or financial analyst role Benefits Work for the most exciting companies in the North American Market. Flexible schedules. Work from anywhere. Highly competitive compensation.

Location: Shanghai, China; Hong Kong; Taipei, Taiwan Freelance Trainer & Associate Consultant (Luxury Retail / Customer Experience) CXG 外部合作讲师 / 轻咨询顾问（奢侈品零售 / 客户体验） Location: Greater China / APAC | Engagement Type: Freelance / Project-based 工作地点：大中华区 / 亚太地区｜合作形式：自由职业 / 项目制合作 Role Positioning (Please Read Carefully) 岗位定位（请务必阅读） This is not a generic training role. You are expected to deliver impactful training and translate business challenges into actionable behaviors. 这不是一个通用型讲师岗位。你需要既能交付高质量培训，又能将业务问题转化为可执行行为。 Key Responsibilities 岗位职责 1. Training Delivery (Core): Deliver workshops for frontline and managers on service excellence, VIC clienteling, sales and leadership. 1. 培训交付（核心）：为一线及管理者提供培训，包括服务、VIC客户经营、销售转化及领导力。 2. Business Translation: Translate business issues into behavioral standards and training solutions linked to KPIs. 2. 业务转化：将业务问题转化为行为标准与培训方案，并与业务指标挂钩。 3. Content Adaptation: Customize CXG frameworks and localize for APAC. 3. 内容定制：基于CXG方法论进行客户化与本地化。 4. Light Consulting Support: Support workshops and provide structured feedback. 4. 轻咨询支持：参与客户讨论并提供结构化反馈。 Requirements Mandatory Requirements (Non-negotiable) 任职要求（硬性条件） Luxury / Premium Brand Experience: Must have hands-on experience (retail, clienteling, L&D). 奢侈品经验：必须具备深度在场经验（门店、客户经营或内部培训）。 Training Experience: Experience training frontline and managers with strong facilitation skills. 培训经验：具备一线及管理者培训经验，具备良好授课能力。 Business Understanding: Ability to connect training with business outcomes. 业务理解：能将培训与业务结果（转化、客户体验等）连接。 Preferred Profile 优先考虑 Store manager / L&D / consulting experience preferred. 有店长、培训或咨询经验优先。 Extensive experience in the automotive industry highly preferred. 汽车行业经验丰富者尤其优先。 Language: Mandarin & English required;  Japanese/Korean/Cantonese a plus. 语言要求：中英文流利，日语/韩语/广东话 是加分项 What We Do NOT Look For 不考虑人选 Generic trainers without retail experience or purely theoretical profiles. 无零售经验的通用讲师或纯理论型人员。 Application Requirements 应聘要求 CV + Training portfolio + 1 case (business challenge, solution, impact). 简历 + 培训案例 + 1个案例说明（业务问题、方案及结果）。 Benefits To be discussed during the interview. 服务费用面议