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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 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: Bellevue Veterinary Emergency + Specialty - Bellevue, Washington Licensed Veterinary Technician (LVT) -  Surgery Quality medicine starts with happy team members. We Love Pets and People. Bellevue Veterinary Emergency and Specialty Hospital was established with one goal in mind: to be there for pets and their people. We know emergency visits aren't planned and navigating specialty care can be overwhelming. We are looking for dedicated team members to join our growing team and help us implement people-centric processes to create an environment where pets receive world class care and pet parents receive clarity and compassion at every step in the process. At Bellevue Veterinary Emergency + Specialty, we work hard to deliver unparalleled care, experiences for our patients and clients. Providing fulfilling careers and enabling healthy work-life harmony aren't talking points for us, they're part of who we are. We listen to our staff to understand what matters most, and work to ensure everyone has the support they need to thrive . We believe learning is a life-long commitment. Building our team, we require leaders who take the initiative to grow—and we help them do just that. Our goal is to help people be the best version of themselves. Interested in learning a new skill? Pursuing another credential? We're on your side, providing resources and support to help you fulfill your goals. Making a difference in the community and beyond. Our commitment to pets extends beyond our hospital walls. Our organization regularly implements charity drives across the nation to help support local shelters, and our team members have the opportunity to give back to communities around the globe through our partnership with World Vets. Each year, we send a group of doctors and support staff abroad to help pets in need and support programs that nurture healthy relationships between people and animals. In 2021, Lakefield team members were able to be a part of opening the first and only veterinary clinic in the Galapagos. Check out the video here: https://lakefieldvet.com/news/ Testimonials from our Team: "I've been working at Bellevue Veterinary Emergency and Specialty since we opened in June. I have to say, it's been an amazing experience. The team here is like a big family, always supportive and encouraging. The work environment is positive and uplifting, and the management truly cares about the well-being of their employees. The opportunities for growth and professional development are outstanding, and the company truly values work-life balance. I feel proud to be a part of such a compassionate and dedicated team, where we can make a real difference in the lives of animals and their owners. I highly recommend Bellevue Veterinary Emergency and Specialty as a great place to work!" Bella, LVT "Working at Bellevue Veterinary Emergency and Specialty has been such a great experience and I have learned so much in my short time. The doctors are all very knowledgeable, willing to teach and only want the best for the pets that walk through the door. They play well to your strengths that you bring to the table and strive to help you in the areas that you feel you need to improve on." Kota- Veterinary Assistant What you'll do (Essential Functions): Foster a culture built on our values: Respect, Learning, Do the Right Thing, WOW Service, and Fun Provide professional, efficient, quality medical care and exceptional service to clients while maintaining maximum productivity. Obtain patient medical history from the client and referring veterinarians as needed Perform initial evaluation of pet's condition, collect information from client, observe pet's behavior, and checks vital statistics. Complete preparatory procedures and assist the Veterinarian throughout the rest of the examination, diagnosis, procedures, and treatment phases Restrain pets during exams as needed Create and maintain patient medical records and documentation Obtain and prepare various samples including blood, urine, and fecal samples for diagnostic testing. Perform laboratory tests on samples and update the patient's medical chart Educate clients about pet health needs, nutrition, and preventative care Perform X-rays and provide results to the Veterinarian Fill prescriptions under the direction of a Veterinarian Administer injections and medication with supervision and under the direction of a veterinarian Perform venipunctures, catheterization, and other procedures under supervision of a veterinarian Prepare patient, medications, and equipment for surgery Support a practice environment that promotes collaboration and teamwork and ensure the delivery of quality, compassionate, effective, and efficient health care to pets Comply with all practice policies, quality assurance guidelines, and minimum standards of care Perform other duties or projects as requested REQUIRED QUALIFICATIONS Education: Associate degree from a two-year veterinary technology program with accreditation from the American Veterinary Medicine Association (AVMA). Professional Licenses/Certifications: WA state Veterinary Technician License with credential in good standing Successful completion of the Veterinary Technician National Examination Skills, Ability and Knowledge: Ability to handle and maintain sensitive and confidential information with discretion Knowledge of veterinary hospital practices and procedures Strong organizational and time management skills including managing multiple priorities Strong attention to detail and high level of accuracy Interact with a variety of clients and employees in a professional, caring, compassionate, and tactful manner Basic knowledge of the generic and brand names, common uses, and side effects of drugs utilized in a veterinary practice Basic knowledge of medical equipment and terminology Basic proficiency with a variety of computer programs including Microsoft Outlook, Word, Excel, and Practice Management software (Cornerstone preferred) Basic written, verbal, and active listening communication skills with a customer oriented approach Basic analytical, critical thinking, judgement, and problem-solving skills Accurate drug dosage calculation abilities Understanding of physiology and pharmacology to give appropriate patient care Ability to provide both basic and advanced life support during a CPR event Ability to work in a changing environment Ability to communicate clearly and calmly in stressful situations Appropriate radiographic technique Understanding of safe anesthetic protocols Venipuncture and intravenous catheter placement Enteral and parenteral medication administration BENEFITS 401(k) retirement plan with company matching available to full-time and part-time team members Medical, dental, and vision insurance with options for health savings account with company contributions Company paid life insurance Paid time off 6 Paid holidays Employee assistance program offering complimentary family, financial, substance abuse, and mental health counseling Professional development assistance Complimentary uniforms Generous employee pet healthcare discounts Opportunities for participating in international philanthropic projects through Lakefield's partnership with World Vets Pay Range Surgery LVT: $35-$40/hour EARN EXTRA DIFFERENTIAL PAY! $1.50 shift differential in addition to regular hourly rate of pay for working overnight shifts between the hours of 7pm to 7am. Also, an additional $1.50 shift differential in addition to regular hourly rate of pay for working on Saturday or Sunday. Alternating weekend call in shifts required with compensation of $50 for being on call, and $250 when called in, with guarantee of at least 4 hours paid regardless of shift length. Full-time and part-time positions available To apply, please contact Christine Erickson at christine.erickson@lakefieldvet.com or Nikki Kincl at nikki.kincl@bellevueersp.com or apply at careers.lakefieldvet.com . ABOUT LAKEFIELD VETERINARY GROUP We believe exceptional veterinary care starts with exceptional people. We partner with hospitals across the country to preserve what makes each practice special - its people, culture, and connection to community - while providing the operational support and resources that allow teams to thrive. As we grow, we are committed to creating an environment where team members feel respected, supported, and empowered to deliver outstanding care. Our Values Our culture is built on five core values that guide how we work and serve: Respect Learning Do the Right Thing Wow Service Fun If these resonate with you, you’ll fit right in. Equal Employment Opportunity Lakefield Veterinary Group is an Equal Opportunity Employer. We are committed to creating an inclusive environment for all team members and applicants. Compensation Range $35 — $40 USD

Location: Bellevue Veterinary Emergency + Specialty - Bellevue, Washington $2,000 Sign-On Bonus Quality medicine starts with happy team members. We Love Pets and People. Bellevue Veterinary Emergency and Specialty Hospital was established with one goal in mind: to be there for pets and their people. We know emergency visits aren’t planned, and navigating specialty care can be overwhelming. We are looking for dedicated team members to join our growing team and help us implement people-centric processes to create an environment where pets receive world class care and pet parents receive clarity and compassion at every step in the process. At Bellevue Veterinary Emergency + Specialty, we work hard to deliver unparalleled care, experiences for our patients and clients. Providing fulfilling careers and enabling healthy work-life harmony aren’t talking points for us, they’re part of who we are. We listen to our staff to understand what matters most, and work to ensure everyone has the support they need to thrive. We believe learning is a life-long commitment. Building our team, we require leaders who take the initiative to grow—and we help them do just that. Our goal is to help people be the best version of themselves. Interested in learning a new skill? Pursuing another credential? We’re on your side, providing resources and support to help you fulfill your goals. What You’ll Do: Foster a culture built on our values: Respect, Learning, Do the Right Thing, WOW Service, and Fun Provide professional, efficient, quality medical care and exceptional service to clients while maintaining maximum productivity. Obtain patient medical history from the client and referring veterinarians as needed Perform initial evaluation of pet's condition, collect information from client, observe pet's behavior, and checks vital statistics. Complete preparatory procedures and assist the Veterinarian throughout the rest of the examination, diagnosis, procedures, and treatment phases Restrain pets during exams as needed. Operate CT machine. Monitor anesthetized CT patients. Create and maintain patient medical records and documentation. Obtain and prepare various samples including blood, urine, and fecal samples for diagnostic testing. Perform laboratory tests on samples and update the patient's medical chart. Educate clients about pet health needs, nutrition, and preventative care. Perform X-rays and provide results to the Veterinarian. Fill prescriptions under the direction of a Veterinarian. Administer injections and medication with supervision and under the direction of a Veterinarian. Perform venipunctures, catheterization, and other procedures under supervision of a Veterinarian. Prepare patient, medications, and equipment for procedures. Support a practice environment that promotes collaboration and teamwork and ensure the delivery of quality, compassionate, effective, and efficient health care to pets Comply with all practice policies, quality assurance guidelines, and minimum standards of care Perform other duties or projects as requested Education: Associate degree from a two-year veterinary technology program with accreditation from the American Veterinary Medicine Association (AVMA) Professional Licenses/Certifications: Licensing requirements for Veterinary Technicians vary by state. Successful completion of the Veterinary Technician National Examination (administered by the American Association of Veterinary State Boards (AAVSB) when required by the state). State-recognized veterinary technician certification (CVT, LVT, or RVT) with credential in good standing required. Knowledge, Skills and Abilities: Ability to handle and maintain sensitive and confidential information with discretion. Knowledge of veterinary hospital practices and procedures. Strong organizational and time management skills including managing multiple priorities. Strong attention to detail and high level of accuracy. Interact with a variety of clients and employees in a professional, caring, compassionate, and tactful manner. Basic knowledge of the generic and brand names, common uses, and side effects of drugs utilized in a veterinary practice. Basic knowledge of medical equipment and terminology. Basic proficiency with a variety of computer programs including Microsoft. Outlook, Word, Excel, and Practice Management software (PIMS). Basic written, verbal, and active listening communication skills with a customer oriented approach. Basic analytical, critical thinking, judgement, and problem-solving skills. Accurate drug dosage calculation abilities. Understanding of physiology and pharmacology to give appropriate patient care. Ability to provide both basic and advanced life support during a CPR event. Ability to work in a changing environment. Ability to communicate clearly and calmly in stressful situations. Appropriate radiographic technique. Understanding of safe anesthetic protocols. Venipuncture and intravenous catheter placement. Enteral and parenteral medication administration. Schedule: Monday-Thursday 8am-6pm Tuesday-Friday 8am-6pm Compensation Range $35 — $40 USD

Location: Ukraine; Spain; Poland; Portugal; Romania About Us At SPD Technology, we bring together a team of like-minded people who are driven by the desire to bring value through their work, united in their commitment to high performance and delivering custom, cutting-edge tech solutions that drive clients’ growth. We empower our people with a culture of excellence and enable them with the opportunity to uphold their accountability to contribute on each level. We value humanity and collaboration, encourage professional and personal growth, and foster a supportive and flexible work environment where everyone’s contribution is welcomed. Now we are looking for a Senior ML Operations Engineer to join us as part of our team. About the role As a Senior ML Operations Engineer, you will support teams building and deploying AI-driven solutions, helping them overcome common challenges in the ML development, deployment, and support lifecycle. This role offers autonomy in decision-making, encouraging a proactive approach to solving complex issues and finding optimal solutions for scalable systems. About the project PitchBook — a platform for investment professionals. Our software provides access to data and the analytical tools to get answers fast and discover promising opportunities. Uncovers actionable insights and trends hidden within the financial data of more than three million companies. Users all over the world include large corporations, start-ups, venture capital and private equity firms, investment banks, and many others. Features of PitchBook: Advanced search / Discovery & insights / Company profiles / Workflow & efficiency / Financials and many more. Team composition 1 Engineering Manager, 4 Senior ML Ops Engineers Work Environment The role offers a flexible work schedule, allowing you to adapt your working hours with the requirement to attend all team meetings. The team follows a Scrum-based Agile methodology. As a qualified expert, You will Serve as a force multiplier for development teams by creating golden paths that remove roadblocks and improve ideation and innovation. Collaborate with other engineers, product managers, and internal stakeholders in an Agile environment. Provide mentorship, technical guidance, and perform code reviews for team members. Design and deliver on projects end-to-end with little to no guidance. Provide support to teams building and deploying AI applications by addressing common pain points in the MLDLC. Learn constantly and be passionate about discovering new tools, technologies, libraries, and frameworks (commercial and open source), that can be leveraged to improve PitchBook’s AI capabilities. Support the vision and values of the company through role modeling and encouraging desired behaviors. Participate in various cross-functional company initiatives and projects as requested. Contribute to strategic planning in a way that ensures the team is building exceptional products that bring real business value. Evaluate frameworks, vendors, and tools that can be used to optimize processes and costs with minimal guidance. We’re looking for you if you have Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or equivalent practical experience). 5+ years of hands-on software development experience with Python (Java experience with strong Python proficiency also considered). 4+ years of experience designing and building distributed software systems and architectures. 3+ years of hands-on experience deploying and operating Machine Learning services in production. Experience supporting ML lifecycle operations including post-deployment monitoring and maintenance. Experience in cloud-native stack, with a practical understanding of containerization technologies such as Kubernetes and Docker. Demonstrated experience with SQL and NoSQL database design and implementation. Ability to decompose complex problems into iterative, well-defined solutions. Strong problem-solving abilities with focus on building scalable, efficient, and maintainable systems. Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions. Ability to be a team player who can also work independently. Experience working across multiple development teams is a plus. Bonus points Experience with cloud platforms (AWS, Google Cloud Platform, or Azure). Proficiency in GitOps practices and CI/CD pipeline development and management. Observability and monitoring: Integration experience with observability tools (Prometheus, Grafana) and building instrumented, production-ready systems. LLM Infrastructure: Experience provisioning and managing Large Language Models through managed services (Azure OpenAI, Google Vertex AI, Amazon Bedrock). LLM Tooling: Hands-on experience with LLM gateways (LiteLLM) and agentic frameworks (LangGraph, LangSmith, or similar). Vector Systems: Practical experience with vector embedding models and vector databases (Pinecone, Weaviate, Milvus, pgvector). RAG Systems: Experience building Retrieval-Augmented Generation systems and evaluating both retrieval quality and generation performance. Cloud-native experience with services like Amazon SageMaker, Google Vertex AI, or Azure ML Familiarity with ML frameworks and tools: PyTorch, TensorFlow, scikit-learn Experience with data infrastructure: Redis, Elasticsearch, Apache Kafka. ML experiment tracking and model management: Weights & Biases, MLflow, KubeFlow. API development with FastAPI or similar frameworks. Java programming experience is a plus. What’s in it for You Reveal great tech solutions Join the team of experts who create custom, cutting-edge tech solutions for world-renowned businesses, fueling clients growth. Unleash your potential, tackle new challenges, and be part of a team that values your skills and contributions. Focus on long-term impact and building tailored, long-lasting partnerships with our clients. Experience an agile and flexible working environment Work fully remote around the globe, or in a hybrid work model from our office hubs which are equipped with everything needed for comfortable work. Enjoy a flexible working schedule and create work and rest balance for yourself. Empower yourself with a stable workload and a stable income, focusing on lasting cooperation and high-performance culture. Embrace the opportunity for personal and professional growth Take advantage of performance review and career path. Elevate your skills with mentorship program, personal development plan, and individual learnings through the corporate library, public speaking support, and more. Feel cared about Be among like-minded people and feel supported with collaboration, open communication and mutual respect. Join company-wide tech and cultural events, and contribute to meaningful CSR initiatives that resonate with your values. Interview steps Interview with the recruiter Live Coding (up to 30 min) Tech Interview: ML Fundamentals, Software Engineering (up to 60 min) ML System Design Interview (up to 45 min) Interview with Engineering Manager (60 min)

Location: Lagos, Nigeria Role Summary The Card Product Analyst supports the development and optimization of card products by analyzing product performance, customer behavior, and financial metrics. The role provides insights that inform product strategy, pricing, and portfolio growth. Key Responsibilities Product Performance Analysis · Monitor card portfolio performance including spend, activation, utilization, and revenue. · Track KPIs such as card issuance, transaction volumes, and interchange income. Data Analysis & Insights · Analyze customer usage patterns and spending behaviors. · Provide insights to support product enhancements and marketing campaigns. Reporting & Dashboard Management · Develop and maintain product performance dashboards. · Prepare regular reports for management and stakeholders. Pricing & Profitability Analysis · Support pricing strategy through revenue and cost analysis. · Evaluate profitability across different card products and customer segments. Product Development Support · Assist in business case development for new card products. · Support product launch initiatives with data analysis and performance tracking. Requirements · Bachelor’s degree in Finance, Economics, Data Analytics, or related field. · 2–4 years experience in product analytics, banking analytics, or payments analytics. · Strong experience with Excel, SQL, Power BI, or similar tools.

Location: Brooklyn, NY Automation & Integrations Engineer - Brooklyn, NY Location : Brooklyn, NY On-site | Full-Time Salary : $100,000–$148,000/year Join Licensed Behavior Analyst Professional Services PLLC and help build the systems that power everything behind the scenes. We’re looking for a sharp, systems-minded engineer who loves turning messy, manual processes into clean, scalable automations. If you get excited about workflows, integrations, and making things run better , this role is for you. About the Role ; You’ll work across departments—operations, marketing, sales, and beyond—to design and implement automation systems that reduce friction, improve efficiency, and support real growth. Your work will directly impact how we scale and serve families nationwide. What You’ll Do ; Design and build automation workflows (Zapier, Make, n8n, Workato, Power Automate, etc.) Create bots for lead handling, scheduling, outreach, and internal operations Automate CRM updates, email sequences, content pipelines, and data syncing Integrate APIs, webhooks, and third-party systems Build dashboards, monitoring tools, and error-handling systems Audit and optimize existing automations for performance and reliability Clearly document workflows, logic, and system dependencies Collaborate with teams to identify and implement new automation opportunities Train staff on automation tools and best practices What You Bring ; Hands-on experience with automation platforms (Zapier, Make, n8n, or similar) Strong understanding of APIs, webhooks, HTTP requests, and JSON Experience integrating multiple SaaS tools (CRMs, email platforms, databases, etc.) Strong problem-solving and debugging skills Clear communication and documentation abilities Ability to translate business needs into technical solutions Organized, detail-oriented, and comfortable in a fast-paced environment Why This Role Stands Out ; Competitive, market-based salary High ownership and real impact on company-wide systems Opportunity to build and scale automation from the ground up Work across multiple teams and functions Be part of a growing, mission-driven organization If you’re someone who loves building smart systems and making operations run seamlessly, we’d love to hear from you. 📩 Apply: resumes@lbaps.com

Location: Brooklyn, NY + Queens, NY Small Group Instruction Teachers (Elementary & High School) Location : Brooklyn or Queens, NY | Full-Time & Part-Time Start Date : September 2026 Competitive Pay : $75–$100+/hour (based on experience) Are you a passionate educator who thrives in small, focused learning environments? Join a growing team at Licensed Behavior Analyst Professional Services PLLC and make a meaningful impact by working closely with students who benefit from individualized attention and support. This is a unique opportunity to teach in a setting where you can truly connect with your students and see their growth firsthand. What You’ll Do; Lead engaging and interactive small-group instruction Create and implement thoughtful, individualized lesson plans Monitor student progress and adjust teaching strategies as needed Foster a positive, supportive, and structured classroom environment Collaborate with families and team members to support each student’s success What You Bring ; Valid teaching license Master’s degree in Education or related field Strong communication and relationship-building skills Ability to create an inclusive and supportive learning space Comfort using educational tools and technology Why This Role Stands Out ; Competitive, market-based pay Flexible full-time and part-time opportunities Small group setting = more meaningful teaching, less overwhelm Supportive, collaborative team environment Opportunity to make a real, visible impact on student growth If you’re looking for a teaching role where you can slow down, connect, and truly make a difference—this is it. 📩 Apply here: resumes@lbaps.com

Location: Brooklyn, NY Authorizations Specialist (ABA Services) Location : Brooklyn, NY | Full-Time | On-site Competitive Pay : $28–$35/hour Join a growing, mission-driven team at Licensed Behavior Analyst Professional Services PLLC and play a key role in helping children access the services they need. We’re looking for a detail-oriented, proactive Authorizations Specialist who can take ownership of the insurance authorization process and keep everything running smoothly behind the scenes. This is a fast-paced, high-impact role where your work directly supports timely care for families. What You’ll Do : Manage ABA service authorizations from submission through approval Communicate with insurance companies and payers to obtain and maintain approvals Keep families informed on authorization status and next steps Maintain accurate, organized records and documentation Partner with clinical and admin teams to ensure compliance and efficiency What You Bring : Experience with insurance authorizations or healthcare administration (preferred) Bachelor’s degree in a related field (preferred) BCBA certification or in progress is a plus (not required) Strong communication skills and professionalism with families and payers Highly organized with strong attention to detail Ability to manage multiple priorities in a fast-paced environment Why Join Us ? Competitive, market-based pay Supportive, team-oriented environment Opportunity to grow within a rapidly expanding organization Make a real impact by helping families access essential ABA services 📩 Apply: resumes@lbaps.com

Location: Brooklyn, NY Clinical Director – Authorizations Department Location : Brooklyn, NY | Full-Time | On-site Competitive Pay : $95–$125/hour (based on experience) Organization : Licensed Behavior Analyst Professional Services PLLC Are you a clinical leader who understands both ABA and the behind-the-scenes systems that make quality care possible? At LBAPS, we’re growing—and we’re looking for someone who can take ownership of our authorizations department and help shape how services are approved, delivered, and scaled. This is a high-impact leadership role where your expertise will directly support access to care for children and families. What You’ll Do : Lead and oversee all authorization workflows from start to finish Review clinical documentation to ensure strong medical necessity and payer compliance Partner with clinical and admin teams to streamline processes and improve turnaround times Maintain high standards for ABA documentation accuracy and integrity Build, refine, and implement department policies and procedures Ensure compliance with insurance requirements and regulatory standards What You Bring ; BCBA certification or strong background in ABA (highly preferred) Experience with behavioral health authorizations, insurance, or clinical operations Solid understanding of ABA service delivery and payer expectations Strong leadership mindset with excellent communication and organization skills Why This Role Stands Out ; Competitive, market-based compensation Opportunity to lead and shape a critical department Be part of a growing, mission-driven organization Real long-term growth and leadership potential If you’re someone who thrives in a fast-paced environment and wants to make a meaningful impact beyond direct therapy , we’d love to connect. Apply here: resumes@lbaps.com

Location: Austin, TX Vectra® is the leader in AI-driven threat detection and response for hybrid and multi-cloud enterprises. The Vectra AI Platform delivers integrated signal across public cloud, SaaS, identity, and data center networks in a single platform. Powered by patented Attack Signal Intelligence, it empowers security teams to rapidly prioritize, investigate and respond to the most advanced cyber-attacks. With 35 patents in AI-driven threat detection and the most vendor references in MITRE D3FEND, organizations worldwide rely on the Vectra AI to move at the speed and scale of hybrid attackers. For more information, visit www.vectra.ai. The Role We are looking for a Staff Software Engineer to join our Fusion engineering team, focused on building systems that ingest, process, and analyze network cloud telemetry such as flow and DNS logs. This is a high-impact, hands-on technical leadership role. You will design and scale distributed systems that power real-time detection, while influencing architecture, standards, and engineering practices across teams. What You’ll Do Design and build scalable backend systems using Go and Python Develop and evolve high-throughput data pipelines for network flow and DNS telemetry Architect systems for real-time and near real-time data processing Improve performance, scalability, and cost efficiency of platform services Lead design and code reviews, setting a high bar for engineering quality Drive cross-team architecture and platform alignment Partner with product and detection teams to deliver shared platform capabilities Mentor engineers and contribute to a culture of technical excellence and ownership What We’re Looking For 8+ years of experience building distributed systems at scale Strong proficiency in Go (Golang) and experience with Python Experience with streaming or data-intensive systems (e.g., Kafka, Kinesis, Flink) Solid understanding of network telemetry (e.g., flow logs, DNS) Experience with cloud platforms (AWS preferred) Strong background in systems design, performance, and reliability Proven ability to lead technical initiatives across teams Nice to have: Background in cybersecurity or network detection Experience with real-time analytics systems Expertise in data warehousing technologies (e.g., Elasticsearch, Hadoop, Druid) Why Join Vectra Work on high-scale, real-time systems solving complex security challenges Help build a platform that processes massive volumes of network data Collaborate with experienced engineers in a high-impact environment Contribute to technology that directly improves customer security outcomes Our competitive total rewards package includes cash compensation within the range provided below. Actual pay for this position may vary based on the hired candidate’s location, experience and relevant incumbent pay position. Vectra Total Rewards $175,000 — $205,800 USD Vectra provides a comprehensive total rewards package that supports the financial, physical, mental and overall health of our employees and their families. Compensation includes competitive base pay, incentive pla n eligibility, and participation in the employee equity plan (stock options). Specific benefits offered var ies by location, but commonly in clude health care insurance , income protection / life insurance , access to retirement savings plans, behavioral & emotional wellness services , generous time away from work, and a comprehensive employee recognition program. Vectra is committed to creating a diverse environment and is proud to be an equal opportunity employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.

Location: London, UK; Oslo, Norway Workplace: Hybrid We're hiring a senior engineer for Agent Foundations, the team responsible for how agents work with structured content at Sanity. We own two products. Content Agent https://www.sanity.io/content-agent runs content operations (bulk edits, audits, translation, publishing) through conversation in Sanity Dashboard, Slack, Linear and a headless API. Sanity Context https://www.sanity.io/context (including Knowledge Bases https://www.sanity.io/docs/ai/sanity-context-knowledge-bases) is an MCP endpoint that gives any agent structured retrieval and semantic search over a team's live content, whether it be Sanity Documents or your own federated content from outside Sanity. We're looking for someone who's built AI systems people can depend on in production. At Sanity.io http://Sanity.io, we build an AI-powered content operating system that lets teams model, create, and automate content the way their business actually runs. SKIMS, Figma, Riot Games, Anthropic, COMPLEX, Nordstrom, and Morningbrew run their content operations on it. Most AI products add a model to a content store. We work on what sits underneath. We build knowledge bases from Sanity datasets https://www.sanity.io/content-lake and external sources, and retrieval that combines GROQ filters with keyword and embedding search. Our agents need to understand schemas, references and validation rules. Telemetry and evals tell us how well the systems work. You'll work across these systems, owning your domain end to end and working closely with product and design to decide what gets built next. WHAT YOU'D BE DOING: - Build retrieval and knowledge bases. Turn sources into documents and chunks. Develop how knowledge bases are created, kept fresh and scoped, and how agents query them using GROQ, keyword and semantic search together. - MCP endpoints and tools give agents their interface to our systems. You'll build these, along with tools and integrations that extend Content Agent. - Work on agent loops. Write the orchestration logic that controls an agent's actions and their order, including when to bring a human in. - Engineer system prompts. Give agent instructions the same engineering attention as the code around them. - Measure and improve reliability, retrieval quality and cost through evals, telemetry and experiments. We measure it in production as well as on test sets. - Ship across the stack. Build interfaces in Dashboard and Studio, APIs and backend services. Work on Blueprints, the infrastructure-as-code path customers use to define their agents and knowledge. - Help shape the products. Sanity Context is new and changing quickly. You'll have considerable latitude to decide what it and Content Agent become. ABOUT YOU: - Location: London, UK or Oslo, Norway (in-office 2–3 days/week) - You're strong in TypeScript and React and comfortable working across frontend, APIs and backend (often in Go). - You've shipped LLM-based systems in production and understand the work it takes to make them behave reliably for every user. - You understand chunking, embeddings, hybrid search and ranking, including where RAG falls short. Experience with search or information retrieval is a strong plus. - You think through a capability's user intent, edge cases, failure modes and cost before deciding on the architecture. That includes what the agent needs to know, which tools it can use and when it should escalate. - You write well and pay attention to how phrasing changes an agent's behavior. You can write precise instructions for a system that interprets language literally. - You're comfortable working with probabilistic systems. You design evals, run experiments and interpret results statistically, using aggregate trends to decide which failures need attention. - You have experience with MCP, tool-use patterns and agent architectures, or you're curious enough to explore them. - You care about the quality of the code and products you ship, down to the writing. You don't need to meet every requirement to apply. We're especially interested in people who've developed engineering skills after starting in fields such as writing, interaction design or liberal arts. Some of the best agent work we've seen comes from people who understand language and how people work, alongside systems architecture. WHAT WE CAN OFFER: - A highly-skilled, inspiring, and supportive team - Positive, flexible, and trust-based work environment that encourages long-term professional and personal growth - A global, multi-culturally diverse group of colleagues and customers - Comprehensive health plans and perks - A healthy work-life balance that accommodates individual and family needs - Competitive stock options program and location-based salary WHO WE ARE: Sanity.io http://Sanity.io is a modern, flexible content operating system that replaces rigid legacy content management systems. One of our big differentiators is treating content as data so that it can be stored in a single source of truth, but seamlessly adapted and personalized for any channel without extra effort. Forward-thinking companies choose Sanity because they can create tailored content authoring experiences, customized workflows, and content models that reflect their business. Sanity recently raised an $85m Series C led by GP Bullhound and is also backed by leading investors like ICONIQ Growth, Threshold Ventures, Heavybit and Shopify, as well as founders of companies like Vercel, WPEngine, Twitter, Mux, Netlify and Heroku. This funding round has put Sanity in a strong position for accelerated growth in the coming years. You can only build a great company with a great culture. Sanity is a 300+ person company with highly committed and ambitious people. We are pioneers, we exist for our customers, we are hel ved, and we love type two fun! Read more about our values here! https://www.sanity.io/blog/our-sanity-values Sanity.io pledges to be an organization that reflects the globally diverse audience that our product serves. We believe that, in addition to hiring the best talent, a diversity of perspectives, ideas, and cultures leads to the creation of better products and services. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, or gender identity.

Location: Remote - United States About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. We are looking for a Lead Software Systems Engineer - GPU Performance to play a key role in building our hyperscaler platform, working across its core components while analyzing and optimizing the performance of large-scale GPU clusters at the intersection of hardware and software. You will operate across the full stack—from hardware and system software to networking (InfiniBand/RoCE), virtualization (KVM/QEMU), and distributed communication layers (e.g., MPI, NCCL). In this role you will Focus on understanding system behavior across multiple layers, identifying performance bottlenecks, and driving improvements that shape how our clusters are built, operated, tuned, and validated. Investigate and troubleshoot performance issues of GPU cluster under real workloads (training and inference) Evaluate and integrate new hardware, system configurations and tuning approaches through software stack Support complex performance-related escalations from internal teams and customers Work closely with infrastructure, software engineering and hardware vendor teams (e.g. NVIDIA, Mellanox, Intel) Contribute to hardware and cluster qualification (acceptance), ensuring systems meet performance expectations We expect you to have: 5+ years of professional experience in system-level software development (focused on performance optimization, low-level programming). 3+ years of hands-on experience with Linux systems (administration, troubleshooting, and performance tuning). In-depth understanding of server architecture, including PCIe devices, NICs, Linux OS/Kernel, and high-performance computing (HPC) systems. Strong proficiency in one or more performance-oriented programming languages (C/C++, Go, Python). We conduct coding interviews as part of the process. Key employee benefits: Health insurance: 100% company-paid medical, dental and vision coverage for employees and families. 401(k) plan: Up to 4% company match with immediate vesting. Parental leave : 20 weeks paid for primary caregivers, 12 weeks for secondary caregivers. Remote work reimbursement: Up to $85/month for mobile and internet. Disability & life insurance: Company-paid short-term, long-term and life insurance coverage. #LI-LH2 Pay Transparency We offer competitive compensation and benefits packages. Actual compensation will be determined based on job-related factors, including experience, skills, qualifications, the level at which the candidate is hired, and geographic location, consistent with applicable law. Base Compensation Range $170,000 — $300,000 USD Benefits & Perks: Competitive compensation Career growth and learning opportunities Flexibility and ownership Collaborative and innovative culture Opportunity to work on impactful AI projects International environment and talented teams What's it like to work at Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI Equal Opportunity Statement: Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law. Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire. If you need accommodations during the application process, please let us know.

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: Madrid, Alcobendas, Spain Description Imagine Live is looking for an experienced Pit Boss to oversee live gaming operations in our Madrid studio. This role is key to ensuring game integrity, operational excellence, and a high-quality player experience in a fast-paced environment. The position is shift-based. Responsibilities Supervise live table operations and ensure full compliance with gaming procedures and standards Monitor dealer performance and provide real-time feedback and support Act as the main point of escalation for operational issues during the shift Ensure fair play and monitor player behavior, reporting any irregularities Handle live chat interactions related to complaints, disputes, or responsible gaming concerns Coordinate with internal teams and partners to ensure smooth daily operations Prepare reports and communicate key insights to management Qualifications Fluency in English and Spanish (Portuguese is a plus) Previous experience in live gaming, casino operations, or similar environments is highly desirable Strong decision-making skills and ability to work under pressure Excellent attention to detail and integrity Strong communication and organizational skills Flexibility to work shifts What we offer Competitive salary Dynamic and international work environment Career growth opportunities Ongoing training and development Supportive team culture

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 .