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Location: Greece; Turkey; South Korea; Germany; Dubai, UAE; Remote; Remote - Europe; Remote, Worldwide Workplace: remote About Welo Global  Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com  The Role  We are seeking an experienced English into Kyrgyz Review Lead to serve as the language quality owner and primary client-facing linguistic expert for a leading global technology client.  You will own the locale’s interpretation of the client’s quality standards and make sure that the Post-Editing Lead, Post Editors, and Reviewers all work to the same shared understanding of “good”. You will be the main point of contact for the client’s Language Manager on quality discussions, arbitration, and escalations, and you will drive consistency, quality governance, and continuous improvement across UI, marketing, product, informational, legal, and support content.  Project Details  - Location: Remote (based in one of the approved countries below) - Expected volume: Approximately 24 hours per month - Employment type: Freelance / Independent Contract - Task type: Language Lead Support - Content types: UI, Marketing, Informational, Legal, Product, Support - Language pair: English into Kyrgyz  What You Will Do  -Analyse requirements: Review every style guide and glossary update, assess which quality categories and content types it affects, and record the changes. Track what the client’s Language Manager actually corrects and says in calibration and quality calls, not only what is written down. -Relay expectations: Run regular alignment roundtables with the language community and publish a structured monthly quality digest covering performance, priority improvement areas, style guide updates, and notable errors and arbitration outcomes. -Manage review quality actively: Coach Reviewers one-to-one using specific examples, run shadowing sessions, and deliver training built from real alignment data. -Improve the standard: Turn recurring justification patterns into well-reasoned style guide proposals, and share cross-locale patterns with the Welocalize Quality Manager. -Maintain alignment with the client: Treat Language Manager decisions as the standard, raise concerns with evidence at the right forum, and aim for fewer surprises over time. What You Will Own -The locale’s review service score, including RQE audit and alignment performance -The community’s shared understanding of quality  -The integrity of the arbitration record, ensuring that every arbitration sent to the client is valid and well-evidenced -The working relationship with the client’s Language Manager, including clarifications, escalations, and expectation tracking Requirements - Experience: 3 to 5+ years in Localization Quality Assurance (LQA), Senior Language Lead, or Quality Governance roles - Client and stakeholder management: Direct experience as the primary point of contact for client Language Managers, managing formal arbitration or escalation processes, and facilitating conflict resolution - Quality audit frameworks: Deep, practical experience with localization evaluation frameworks, including RQE, LQE, error rubrics, and severity mapping - Style guide and expectation analysis: Ability to analyse style guide changes, identify implicit client expectations, and map tolerance by content type (for example, Marketing vs. Legal vs. UI) - Meeting facilitation: Hands-on experience with one-to-one coaching, shadowing sessions, alignment roundtables, and structured monthly quality reporting - Analytical approach: Skill in tracking error concentrations, severity drift, and alignment scores, and in converting justification patterns into style guide improvements - Language: Native-levelKyrgyz and professional-level English - Preferred: Prior experience supporting major technology localization programs and working with calibration or alignment tools Additional Key Information  - Successful candidates will be provided with a dedicated device for project work. - A background check is required as part of onboarding. - Candidates must be physically located in one of the approved countries. Approved countries: Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, El Salvador, Finland, France, Germany, Ghana, Greece, Guatemala, Hong Kong, Hungary, India, Indonesia, Ireland, Israel, Italy, Japan, Kenya, Lithuania, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Qatar, Romania, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Taiwan, Thailand, Turkey, United Arab Emirates, United Kingdom, United States and Vietnam.   Why Join Us  This role offers a long-term partnership with global teams on high-visibility products. You will benefit from steady project volume, comprehensive onboarding and ongoing upskilling, and access to established linguistic resources.  If this sounds like the right opportunity, we would love to hear from you. Job Reference: #LI-JC1

Location: Greece; Turkey; Germany; Italy; Spain; Tel Aviv, Israel; Remote, Worldwide; Remote - Europe; Remote Workplace: remote About Welo Global  Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com  The Role  We are seeking an experienced English into Georgian Review Lead to serve as the language quality owner and primary client-facing linguistic expert for a leading global technology client.  You will own the locale’s interpretation of the client’s quality standards and make sure that the Post-Editing Lead, Post Editors, and Reviewers all work to the same shared understanding of “good”. You will be the main point of contact for the client’s Language Manager on quality discussions, arbitration, and escalations, and you will drive consistency, quality governance, and continuous improvement across UI, marketing, product, informational, legal, and support content.  Project Details  - Location: Remote (based in one of the approved countries below) - Expected volume: Approximately 24 hours per month - Employment type: Freelance / Independent Contract - Task type: Language Lead Support - Content types: UI, Marketing, Informational, Legal, Product, Support - Language pair: English into Georgian What You Will Do  -Analyse requirements: Review every style guide and glossary update, assess which quality categories and content types it affects, and record the changes. Track what the client’s Language Manager actually corrects and says in calibration and quality calls, not only what is written down. -Relay expectations: Run regular alignment roundtables with the language community and publish a structured monthly quality digest covering performance, priority improvement areas, style guide updates, and notable errors and arbitration outcomes. -Manage review quality actively: Coach Reviewers one-to-one using specific examples, run shadowing sessions, and deliver training built from real alignment data. -Improve the standard: Turn recurring justification patterns into well-reasoned style guide proposals, and share cross-locale patterns with the Welocalize Quality Manager. -Maintain alignment with the client: Treat Language Manager decisions as the standard, raise concerns with evidence at the right forum, and aim for fewer surprises over time. What You Will Own -The locale’s review service score, including RQE audit and alignment performance -The community’s shared understanding of quality  -The integrity of the arbitration record, ensuring that every arbitration sent to the client is valid and well-evidenced -The working relationship with the client’s Language Manager, including clarifications, escalations, and expectation tracking Requirements - Experience: 3 to 5+ years in Localization Quality Assurance (LQA), Senior Language Lead, or Quality Governance roles - Client and stakeholder management: Direct experience as the primary point of contact for client Language Managers, managing formal arbitration or escalation processes, and facilitating conflict resolution - Quality audit frameworks: Deep, practical experience with localization evaluation frameworks, including RQE, LQE, error rubrics, and severity mapping - Style guide and expectation analysis: Ability to analyse style guide changes, identify implicit client expectations, and map tolerance by content type (for example, Marketing vs. Legal vs. UI) - Meeting facilitation: Hands-on experience with one-to-one coaching, shadowing sessions, alignment roundtables, and structured monthly quality reporting - Analytical approach: Skill in tracking error concentrations, severity drift, and alignment scores, and in converting justification patterns into style guide improvements - Language: Native-level Georgian and professional-level English - Preferred: Prior experience supporting major technology localization programs and working with calibration or alignment tools Additional Key Information  - Successful candidates will be provided with a dedicated device for project work. - A background check is required as part of onboarding. - Candidates must be physically located in one of the approved countries. Approved countries: Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, El Salvador, Finland, France, Germany, Ghana, Greece, Guatemala, Hong Kong, Hungary, India, Indonesia, Ireland, Israel, Italy, Japan, Kenya, Lithuania, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Qatar, Romania, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Taiwan, Thailand, Turkey, United Arab Emirates, United Kingdom, United States and Vietnam.   Why Join Us  This role offers a long-term partnership with global teams on high-visibility products. You will benefit from steady project volume, comprehensive onboarding and ongoing upskilling, and access to established linguistic resources.  If this sounds like the right opportunity, we would love to hear from you. Job Reference: #LI-JC1

Location: Greece; Poland; Bulgaria; Germany; Dubai, UAE; Remote - Europe; Remote; Remote, Worldwide; Athens, Greece Workplace: remote About Welo Global  Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com  The Role  We are seeking an experienced English into Armenian Review Lead to serve as the language quality owner and primary client-facing linguistic expert for a leading global technology client.  You will own the locale’s interpretation of the client’s quality standards and make sure that the Post-Editing Lead, Post Editors, and Reviewers all work to the same shared understanding of “good”. You will be the main point of contact for the client’s Language Manager on quality discussions, arbitration, and escalations, and you will drive consistency, quality governance, and continuous improvement across UI, marketing, product, informational, legal, and support content.  Project Details  - Location: Remote (based in one of the approved countries below) - Expected volume: Approximately 24 hours per month - Employment type: Freelance / Independent Contract - Task type: Language Lead Support - Content types: UI, Marketing, Informational, Legal, Product, Support - Language pair: English into Armenian What You Will Do  -Analyse requirements: Review every style guide and glossary update, assess which quality categories and content types it affects, and record the changes. Track what the client’s Language Manager actually corrects and says in calibration and quality calls, not only what is written down. -Relay expectations: Run regular alignment roundtables with the language community and publish a structured monthly quality digest covering performance, priority improvement areas, style guide updates, and notable errors and arbitration outcomes. -Manage review quality actively: Coach Reviewers one-to-one using specific examples, run shadowing sessions, and deliver training built from real alignment data. -Improve the standard: Turn recurring justification patterns into well-reasoned style guide proposals, and share cross-locale patterns with the Welocalize Quality Manager. -Maintain alignment with the client: Treat Language Manager decisions as the standard, raise concerns with evidence at the right forum, and aim for fewer surprises over time. What You Will Own -The locale’s review service score, including RQE audit and alignment performance -The community’s shared understanding of quality  -The integrity of the arbitration record, ensuring that every arbitration sent to the client is valid and well-evidenced -The working relationship with the client’s Language Manager, including clarifications, escalations, and expectation tracking Requirements - Experience: 3 to 5+ years in Localization Quality Assurance (LQA), Senior Language Lead, or Quality Governance roles - Client and stakeholder management: Direct experience as the primary point of contact for client Language Managers, managing formal arbitration or escalation processes, and facilitating conflict resolution - Quality audit frameworks: Deep, practical experience with localization evaluation frameworks, including RQE, LQE, error rubrics, and severity mapping - Style guide and expectation analysis: Ability to analyse style guide changes, identify implicit client expectations, and map tolerance by content type (for example, Marketing vs. Legal vs. UI) - Meeting facilitation: Hands-on experience with one-to-one coaching, shadowing sessions, alignment roundtables, and structured monthly quality reporting - Analytical approach: Skill in tracking error concentrations, severity drift, and alignment scores, and in converting justification patterns into style guide improvements - Language: Native-level Armenian and professional-level English - Preferred: Prior experience supporting major technology localization programs and working with calibration or alignment tools Additional Key Information  - Successful candidates will be provided with a dedicated device for project work. - A background check is required as part of onboarding. - Candidates must be physically located in one of the approved countries. Approved countries: Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, El Salvador, Finland, France, Germany, Ghana, Greece, Guatemala, Hong Kong, Hungary, India, Indonesia, Ireland, Israel, Italy, Japan, Kenya, Lithuania, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Qatar, Romania, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Taiwan, Thailand, Turkey, United Arab Emirates, United Kingdom, United States and Vietnam.   Why Join Us  This role offers a long-term partnership with global teams on high-visibility products. You will benefit from steady project volume, comprehensive onboarding and ongoing upskilling, and access to established linguistic resources.  If this sounds like the right opportunity, we would love to hear from you.  Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global Job Reference: #LI-JC1

Location: Zurich, Switzerland; Remote - Europe; Remote, Worldwide; Germany Workplace: remote About Welo Global  Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com  The Role  We are seeking an experienced English into German (Switzerland) Review Lead to serve as the language quality owner and primary client-facing linguistic expert for a leading global technology client.  You will own the locale’s interpretation of the client’s quality standards and make sure that the Post-Editing Lead, Post Editors, and Reviewers all work to the same shared understanding of “good”. You will be the main point of contact for the client’s Language Manager on quality discussions, arbitration, and escalations, and you will drive consistency, quality governance, and continuous improvement across UI, marketing, product, informational, legal, and support content.  Project Details  - Location: Remote (based in one of the approved countries below) - Expected volume: Approximately 24 hours per month - Employment type: Freelance / Independent Contract - Task type: Language Lead Support - Content types: UI, Marketing, Informational, Legal, Product, Support - Language pair: English into German from Switzerland What You Will Do  -Analyse requirements: Review every style guide and glossary update, assess which quality categories and content types it affects, and record the changes. Track what the client’s Language Manager actually corrects and says in calibration and quality calls, not only what is written down. -Relay expectations: Run regular alignment roundtables with the language community and publish a structured monthly quality digest covering performance, priority improvement areas, style guide updates, and notable errors and arbitration outcomes. -Manage review quality actively: Coach Reviewers one-to-one using specific examples, run shadowing sessions, and deliver training built from real alignment data. -Improve the standard: Turn recurring justification patterns into well-reasoned style guide proposals, and share cross-locale patterns with the Welocalize Quality Manager. -Maintain alignment with the client: Treat Language Manager decisions as the standard, raise concerns with evidence at the right forum, and aim for fewer surprises over time. What You Will Own -The locale’s review service score, including RQE audit and alignment performance -The community’s shared understanding of quality  -The integrity of the arbitration record, ensuring that every arbitration sent to the client is valid and well-evidenced -The working relationship with the client’s Language Manager, including clarifications, escalations, and expectation tracking Requirements - Experience: 3 to 5+ years in Localization Quality Assurance (LQA), Senior Language Lead, or Quality Governance roles - Client and stakeholder management: Direct experience as the primary point of contact for client Language Managers, managing formal arbitration or escalation processes, and facilitating conflict resolution - Quality audit frameworks: Deep, practical experience with localization evaluation frameworks, including RQE, LQE, error rubrics, and severity mapping - Style guide and expectation analysis: Ability to analyse style guide changes, identify implicit client expectations, and map tolerance by content type (for example, Marketing vs. Legal vs. UI) - Meeting facilitation: Hands-on experience with one-to-one coaching, shadowing sessions, alignment roundtables, and structured monthly quality reporting - Analytical approach: Skill in tracking error concentrations, severity drift, and alignment scores, and in converting justification patterns into style guide improvements - Language: Native-level German (Switzerland) and professional-level English - Preferred: Prior experience supporting major technology localization programs and working with calibration or alignment tools Additional Key Information  - Successful candidates will be provided with a dedicated device for project work. - A background check is required as part of onboarding. - Candidates must be physically located in one of the approved countries. Approved countries: Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, El Salvador, Finland, France, Germany, Ghana, Greece, Guatemala, Hong Kong, Hungary, India, Indonesia, Ireland, Israel, Italy, Japan, Kenya, Lithuania, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Qatar, Romania, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Taiwan, Thailand, Turkey, United Arab Emirates, United Kingdom, United States and Vietnam.   Why Join Us  This role offers a long-term partnership with global teams on high-visibility products. You will benefit from steady project volume, comprehensive onboarding and ongoing upskilling, and access to established linguistic resources.  If this sounds like the right opportunity, we would love to hear from you.  Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global Job Reference: #LI-JC1

Location: Global We are the creators of a new fintech era! Our mission is to change this world by making blockchain accessible to everyone in everyday life. WhiteBIT is a global team of over 1,200 professionals united by one mission — to shape the new world order in the Web3 era. Each of our employees is fully engaged in this transformative journey. We work on our blockchain platform, providing maximum transparency and security for more than 8 million users worldwide. Our breakthrough solutions, incredible speed of adaptation to market challenges, and technological superiority are the strengths that take us beyond ordinary companies. Our official partners include the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT and VISA. The future of Web3 starts with you — join us as a Senior Talent Manager! Requirements — 3+ years of experience in Talent Management, HR Business Partnering, People Development, Organizational Development, or a similar HR role. — Practical experience with at least several of the following areas: talent reviews, HiPo programs, succession planning, backup planning, retention, internal mobility, or employee development. — Experience coordinating HR processes involving managers and multiple stakeholder groups. — Strong understanding of talent assessment and development principles. — Ability to work with HR data, KPIs, dashboards, and management reporting. — Experience preparing structured reports, presentations, recommendations, and process documentation. — Ability to facilitate calibration discussions and challenge decisions constructively. — Strong project coordination and follow-up skills. — Ability to manage several parallel projects and work with changing priorities. — Strong attention to detail and data accuracy. — Confident English for business communication, documentation, and meetings. — Experience in an international, technology, fintech, or rapidly changing environment would be an advantage. — Communication: Confident business English and experience working in international/fast-paced environments. Responsibilities — HiPo & Key People Management: Lead the design of methodologies, diagnostics, calibration sessions, and the continuous validation of our Talent Map and Key Position lists. — Succession & Retention: Drive “Ready Now” backup planning for critical roles, HiPo employees, and leadership, while implementing proactive retention strategies based on root cause analysis of turnover. — Analytics & Reporting: Own the Talent Management dashboard; transform data on mobility, retention, and succession into actionable insights that drive leadership decision-making. — Leadership & Team Enablement: Support managers and People Partners with tools and guidance on talent development and succession; provide PDP advisory upon request to ensure business-aligned growth. — Program Development: Partner with L&D to evolve our Manager Enablement programs, ensuring they reflect real-world talent management needs and best practices. — Strategic Alignment: Present insights and formalize action plans through regular review meetings with key stakeholders. — Process Optimization: Drive continuous improvement of talent management methodologies, identifying risks and gaps to ensure our framework remains agile and scalable. Working terms Immerse yourself in Crypto & Web3: Master cutting-edge technologies and become an expert in the most innovative industry. Work with the Fintech of the Future: Develop your skills in digital finance and shape the global market. Take Your Professionalism to the Next Level: Gain unique experience and be part of global transformations. Drive Innovations: Influence the industry and contribute to groundbreaking solutions. Join a Strong Team: Collaborate with top experts worldwide and grow alongside the best. Work-Life Balance & Well-being: Modern equipment. Comfortable working conditions, and an inspiring environment to help you thrive. 24 calendar days of paid leave. Additional days off for national holidays. With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career! Let’s Build the Future Together! WhiteBIT offers all candidates an equal opportunity to join the team. All hiring decisions are made without regard to race, national origin, gender identity or sexual orientation, age, religion, disability, medical condition, marital status, familial status, veteran status, or any other legally protected characteristic of an individual. Your privacy matters to us. You can learn more about how we handle your personal data with regard to your application in our Candidate Privacy Notice .

Location: Newstead, Australia About VALD VALD is the world leader in technology for the allied health industry, providing innovative human-measurement technology to over 10,000 clients in over 150 countries. If you have a favorite team in the NBA, EPL, or NFL, there's a good chance they use VALD Technologies. Since its humble beginnings in 2015 in Brisbane, Australia, VALD has grown to a team of over 300 team members in over 30 countries, with 5 offices across four continents. Driven by a multidisciplinary team of researchers, clinicians, sports scientists, designers, developers and engineers, VALD's suite of systems offer unparalleled insight into human movement, performance, injury risk and rehabilitation. About the VALD Warehouse Team Have you ever wanted to work where you are successful team behind the successful team? The VALD Warehouse team assembles and maintains the entire VALD suite of products using a large range of components to dispatch to our clients around the world. Our team is physically fit with can do attitudes, multi skilled and able to perform a wide range of warehouse duties. About the role This is a full‑time, permanent role in a fast‑paced environment, involving the building, programming and calibration of products, alongside responsibility for warehouse organisation, stock rotation and maintaining high standards of product and workspace presentation. The role offers regular training and upskilling opportunities, with the added benefit of potential global travel as part of your career development. The production assembler role is open to someone with willingness to learn, great time management and a desire to complete tasks quickly and effectively. Is this you? Physically unrestricted to work in a warehouse environment A mechanical mind and can quickly learn how things go together. Ability to learn software and follow protocols. Adaptable and can work well under pressure. High level of attention to detail and a commitment to quality control. Experience with hand and power tools and experience in a component assembly role. You have excellent communication skills. You have full working rights in Australia. It’s not expected that any single candidate would check every box here. If you meet just some of the requirements, but not all, we encourage you to submit your application! We strongly encourage you to apply if you’re at all interested. Show us how your experience could improve our team and widen our perspective. Our selection process includes assessing the requirements of the role vs the individual, and how well we think they will work in the VALD team. Why VALD? An opportunity to travel the world utilizing your health and performance experience is just the beginning when you join VALD.  Recently named in LinkedIn's Top 25 Startups for 2022 in Australia, VALD's best asset is not our technology but our people and culture. We have a range of benefits we offer to our team, such as: Industry-leading compensation with healthy performance-based incentives. The opportunity to work in a company that is redefining allied healthcare. Learn from a range of high-performing individuals and teams across various disciplines. Be part of a down-to-earth, inclusive and vibrant team. Regular travel opportunities to get the entire VALD team together for your ongoing development. Onsite chefs and baristas. Onsite staff gym. Subsidised Physiotherapy and Massage Therapy VALD Diversity & Inclusion Commitment VALD’s best asset is not our technology but our people and culture. A culture of inclusion and diversity is critical to our business. We know diverse teams perform better. It's not a separate initiative – we aim to embed inclusion and diversity in everything we do. We are committed to fostering an inclusive work environment and embracing diversity, including gender, nationality, disability, age, marital/parental status, ethnicity, gender identity, socioeconomic background and sexual orientation. We welcome applications from people from all backgrounds. Conditions of Employment Successful applicants will be subject to background checks (including identity and criminal record checks). It will be a condition of employment that the background checks return acceptable results.

Location: Warsaw, Poland MARKETING AND BUSINESS DEVELOPMENT SPECIALIST At Dentons Business Services EMEA, we are committed to excellence in supporting legal professionals with cutting-edge solutions. Our dynamic and diverse team collaborates seamlessly to provide a wide range of services, including finance, IT, human resources, marketing, and more. We pride ourselves on fostering a culture of continuous improvement and adaptability. Dentons Business Services EMEA serves as the operational backbone of Dentons, supporting the world’s largest law firm in delivering exceptional service to clients across Europe, the Middle East, and Africa. As a crucial component of Dentons' global network, our EMEA business services team plays a key role in driving efficiency, innovation, and collaboration. ABOUT THE ROLE This is an exciting role which is an integral part of the UK, Ireland & Middle East Region. The role will be focused on delivering strategic objectives in relation to campaigns, events, sponsorship management, directory submissions, thought leadership, client relationship management and client targeting. The role is a fixed term contract (15 months maternity cover) and operates in a hybrid working model (2 days/week required in the office). - As this role supports UK region please note that it requires operating within UK time-zone therefore working hours are from 10 am – 6 pm - This role operates in Hybrid working model requiring DBSE Warsaw office presence 1-2 times a week KEY RESPONSIBILITIES Profile Raising Prepare award entries, legal directory submissions, and explore profile-raising opportunities. Maintain and update website and social media content with the Communications team. Ensure all materials follow brand and visual identity guidelines. Winning Work Support the production of proposals (content creation, editing, team coordination, branding, and pricing compliance). Collaborate with the Senior BD Manager to develop high-quality proposal materials and ensure consistent messaging across platforms. Act as a proposal process ambassador and ensure proposals are logged and outcomes tracked. Conduct research on organisations, sectors, and individuals. Events and sponsorship management Assist in planning and executing client events (in-person and virtual). Draft invitations, manage logistics, and create targeted mailing lists. Leverage sponsorships for client engagement and manage post-event follow-ups, including ROI tracking Campaign Management Support the development and delivery of marketing campaigns. Draft and design marketing content for internal and external use. Work with the Digital Marketing team for online rollout, ensuring brand compliance and tracking ROI. REQUIRED SKILLS & QUALIFICATIONS Experience: o    Working with legal and/or professional services environment o    Broad Marketing and organisational experience o    Experience managing the legal directories process preferable Education: Graduate calibre with demonstrable and/or professionally recognised marketing or communications qualification (such as CIM, etc.) Soft Skills: o    Strong written and oral communication skills o    Good attention to detail o    Understands the need and has the ability to manage expectations o    Willingness to take on additional responsibility and deputise for their line manager when required Technical Skills: o    working knowledge of Word, PowerPoint and Excel Leadership: o    Builds trust amongst fee earning teams and wider stakeholder community o    Understands when to act and when to ask BENEFITS Private medical healthcare Multisport card Worksmile Cafeteria system Workation, up to 90 days a year A private insurance plan An additional day off for your birthday Volunteering days, up to 2 a year Hybrid work model with an office in Warsaw city center

Location: Costa Mesa, United States; Santa Ana, United States 📍 Location: Santa Ana / Costa Mesa, CA 🏢 Work Arrangement: On-Site 🚀 Start Date: TBD 💰 Compensation: TBD — based on skills and experience Important Screening Requirements Must be a U.S. Citizen . Must be able to obtain and maintain a Top Secret / SCI (TS/SCI) security clearance . Associate degree or equivalent relevant experience. 5+ years of experience in manufacturing, quality, or engineering-related roles. Experience supporting hardware development and quality management in a manufacturing environment. Ability to read and interpret engineering drawings, work instructions, CAD, and wire diagrams . Experience using calibrated inspection equipment such as calipers, micrometers, CMM, Faro arm, or OMM . Experience working within AS9100, ISO 9001, IATF 16949, or a similar quality management system . Must be able to work on-site in Santa Ana or Costa Mesa, CA . About the Role We are seeking a Quality Specialist – MRB & Nonconformance to support manufacturing quality operations within an advanced aerospace and defense environment. This role will manage the Materials Review Board (MRB) process and work closely with manufacturing, engineering, quality, inspection, warehouse, suppliers, and other cross-functional teams to resolve nonconforming materials and improve production quality. The ideal candidate is hands-on, highly detail-oriented, and comfortable working directly within a manufacturing environment to identify issues, drive containment, support investigations, and improve quality processes. What We’re Looking For We’re looking for a hands-on quality professional who can take ownership of MRB and nonconformance activities while working directly with manufacturing and engineering teams. The successful candidate will be comfortable investigating quality issues, coordinating containment and disposition activities, analyzing inspection and traceability data, and identifying opportunities to improve manufacturing quality and productivity. Key Responsibilities MRB & Nonconformance Management Manage the site Materials Review Board (MRB) process. Work closely with manufacturing operations to support resolution, containment, and improvement of nonconforming materials. Review manufacturing work instructions and provide quality feedback. Provide clarification and support go/no-go decisions for inspectors. Lead containment activities for nonconforming items, including inspection and verification of affected parts. Assist with root-cause investigations. Coordinate internal triage with engineering teams to support nonconformance dispositions. Track investigative actions and ensure required tasks are completed on time. Ensure MRB data collection and entry are accurate and complete. Communicate quality issues and process performance to key stakeholders. Track and report MRB metrics on a weekly basis. Inspection & Quality Operations Execute vendor Return Material Authorizations (RMAs) in partnership with Warehouse and Purchasing teams. Manage quality containment for materials, tooling, and inspection equipment associated with nonconformances. Create inspection plans for incoming materials, in-process inspections, and end-of-line inspection activities under the direction of Product Quality Engineers. Train technicians and inspectors on inspection plans and data-capture requirements. Propose, develop, and implement quality assurance policies and procedures. Perform internal audits of processes and procedures as directed by Quality Systems Engineering. Data Analysis & Continuous Improvement Identify and recommend continuous improvement projects focused on productivity, quality, and process effectiveness . Analyze quality and traceability data to identify trends, inconsistencies, variation, and process issues. Stay current with inspection technologies and techniques and recommend improvements to inspection processes. Analyze inspection results and provide actionable feedback to production, manufacturing engineering, and quality engineering teams. Required Qualifications Associate degree or equivalent experience in a relevant field. 5+ years of experience in manufacturing and/or quality or engineering-related roles. Experience working in a manufacturing environment supporting hardware development and quality management . Proficiency with CAD software and inspection data management software . Experience using calibrated inspection equipment, including: Calipers Micrometers CMM Faro arm OMM Ability to read and interpret engineering drawings, wire diagrams, work instructions, and CAD. Experience with investigative and inspection methods such as X-ray inspection, digital characterization, and material certificates of compliance . Experience working within an AS9100, ISO 9001, IATF 16949, or similar QMS environment . Experience with validation and testing of assemblies and components. Experience communicating with suppliers and cross-functional teams. Strong attention to detail and organizational skills. Ability to work independently and collaboratively. Preferred Qualifications Technical or Associate degree in Quality, Mechanical Engineering, Aerospace Engineering, or a related field . Direct experience conducting First Article Inspection (FAI) and preparing First Article Inspection Reports. ASQ Certified Quality Engineer, Quality Improvement Associate , or equivalent certification. IPC-A-610 or IPC-A-620 certification. Experience in low-rate production manufacturing environments . Knowledge of Geometric Dimensioning and Tolerancing (GD&T) . Experience inspecting electrical and electronic components, including power supplies, PCBs, and wire harnesses . Experience with manufacturing systems and tools such as Jira, MES, ERP, Teamcenter, and CAD . Experience auditing manufacturing processes and procedures. Strong communication skills across engineering, manufacturing, quality, suppliers, and other cross-functional teams. 🔎 Ideal Candidate Profile The strongest candidates will bring a combination of hands-on manufacturing quality experience, MRB/nonconformance expertise, inspection knowledge, and strong problem-solving skills . Experience with aerospace quality systems, FAI, GD&T, and electronic hardware inspection will be especially valuable.

Location: United States Location: on-site, LC1 (OC21), Santa Ana / Costa Mesa, CA. What you'll do: · Manages the site Materials Review Board (MRB) process · Be fully imbedded within manufacturing process to actively assist in providing resolution, containment, and improvement to nonconforming materials · Review Manufacturing Work Instructions and provide feedback · Support in providing clarification or go/no-go decisions to inspectors · Lead and own the execution of containment of nonconforming items including inspecting to verify non-conforming parts · Assist in the root cause analysis · Manage internal triage with engineering teams to support nonconformance dispositions and ensure the investigative tasks are completed in a timely manner · Ensure data collection and entry is accurate and complete for the MRB process · Communicate the process performance and quality issues to key stakeholders to drive improvements · Track and report out MRB metrics on a weekly basis · Execute vendor return material authorization (RMA) with partnership between Warehouse and Buyers to ensure material leaves the MRB area for suppliers. · Manage quality containment process for material, tooling, and inspection equipment that are involved in non-conformances impacting production capacity and capability. · Create inspection plans for incoming material, in-process inspection steps, and end of line inspection, as per direction from product quality engineers · Train technicians and inspectors to execute inspection plans and data capture in the process. · Propose, develop and implement quality assurance policies and procedures and review with the product quality engineers · Review and propose continuous improvement projects for productivity gains, quality improvements, and benefits to Client's quality policy. · Perform internal audits on processes and procedures, as per direction from Quality Systems Engineer · Deep dive into data and traceability investigations to identify trends, oddities, inconsistencies, and variation that impacts the effectiveness of processes, procedures, and product quality. · Stay current with new inspection technologies and techniques and recommend improvements to the inspection process Required Qualifications: · Must be a US citizen; must be able to obtain and hold a TS/SCI. · Associate degree or equivalent in a relevant fields, or equivalent experience in lieu of education · 5+ years of experience in manufacturing and/or a quality/engineering related role · Experience in a manufacturing environment supporting HW development and quality management · Proficiency with computer-aided design (CAD) software and inspection data management software. · Ability to work independently and as part of a team. · Attention to detail and strong organizational skills. · Experience with Calibrated equipment (calipers, micrometers, CMM, Faro arm, OMM, etc.) · Experience reading and interpreting engineering drawings (wire diagrams, work instructions, CAD) · Analyze inspection results and provide feedback to production, manufacturing engineering, and quality engineering departments. · Experience using investigative equipment such as x-ray inspection, digital characterization, material certificate of compliance, etc. · Experience in a facility with AS9100, ISO9001, IATF 16949 or similar QMS standard · Experience with validation and testing assemblies and their components · Experience with communicating with suppliers and cross functional teams Preferred Qualifications: · Technical or Associates degree in related quality/mechanical/aerospace engineering field · Direct experience conducting First Article Inspection and Report for internal manufacturing · ASQ Certified Quality Engineer, Quality Improvement Associate, or equivalent. IPC-A-610 or IPC-A-620 Certification · Existing work experience is low rate production manufacturing environment · Knowledge & understanding of dimensioning and tolerancing as per Geometric Dimensioning and Tolerancing (GD&T) · Experience with inspection of Electrical and Electronic Components (Power Supplies, PCBs, wire-harnesses) · Experience with Manufacturing processes and their related systems (Jira, MES, ERP, Teamcenter, CAD) · Experience with auditing processes and procedures in a manufacturing environment · Detail oriented self starter with minimal oversight - strong ability to communicate with different cross functional teams

Location: Utah | Hybrid Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check. AI at BambooHR At BambooHR, we believe in leveraging cutting-edge technology to empower people and transform HR. We’re actively integrating AI into our solutions and workflows to enhance efficiency and drive innovation. To that end, we’re looking to our existing team members and future hires to share this forward-thinking mindset: individuals who are curious about AI’s potential, eager to learn and adapt, and ready to explore how intelligent tools can elevate their work along with BambooHR’s impact on setting people free to do great work. Join us in reimagining the future of HR! Essential Job Duties BambooHR is on a mission to set people free to do great work. Our software powers the HR work that small and mid-sized businesses depend on every day. Across engineering, our teams use AI coding agents as the default way to build: specifying intent, delegating execution to agents, verifying and integrating their output, and codifying best practices so each project compounds. You'll lead the team that makes this possible for everyone else. Your team owns the Agent SDK — the framework other engineering teams build their agents on — along with the core platform underneath it: a RAG pipeline, a sandboxed environment for running agent-generated code, evaluation frameworks, and observability. The specifications, guardrails, and verification standards your team sets don't just govern your own engineers' work, they become the floor every other agentic engineer at BambooHR builds from. AI tools and capabilities change rapidly. To stay resilient through change, you prioritize curiosity and continual learning, both for yourself and the team you manage, and you actively push new best practices into how your team specifies, delegates, and verifies work. You are accountable for your team's delivery and for the platform's fitness as the foundation other teams depend on: its correctness, its safety, and its reliability at scale. You will: Manage 1-2 scrum teams of Software Engineers building the Agent SDK, RAG pipeline, code execution sandbox, evaluations, and observability. Set the bar for how your engineers write agent specifications, delegate execution to AI coding agents, and verify agent-produced output, calibrated to the risk and blast radius of platform-level code Coordinate engineers steering multiple agents in parallel across concurrent platform workstreams, keeping engineering judgment and ownership intact Own the scaffolding your team and its downstream consumers delegate through: SDK conventions, agent instructions, evaluation harnesses, and playbooks, and decide which are worth investing in Partner with the teams building on your platform to understand their needs and shape the SDK's roadmap, APIs, and guardrails Demonstrate leadership and patience through regular coaching and mentoring on agentic craft, in individual and team settings Consult with Product Management, UX Designers and Tech Leads to explore and deliver software solutions Manage and maintain your team's execution roadmap, including a grooming pipeline and delivery expectations Show and maintain accountability in team and individual performance (yours and others) in sprint goals and quarterly Objectives and Key Results (OKRs) Participate in department hiring efforts Contribute to the ongoing improvement of our systems and processes Be a great culture addition and advocate for our company values What You Need to Get the Job Done 10+ years of experience in software development 2+ years of real-world, demonstrable technical leadership Object-Oriented development experience Experience building or operating platform-level engineering teams — internal SDKs, developer platforms, or infrastructure that other teams build on Experience managing or working alongside engineers who use AI coding agents as the default way to build production software Proficiency in context engineering practices: structuring repo and task context, and setting standards for agent specifications, so agents execute reliably across teams Familiarity with core AI agent infrastructure concepts such as RAG, sandboxed code execution, evaluation frameworks, and observability Experience in developing Software as a Service Version control software, preferably Git Proficiency in documenting processes and monitoring performance metrics Exceptional interpersonal and communication skills What Will Make Us REALLY Love You Hands-on experience with LLM tooling: RAG pipelines, vector databases, sandboxed/isolated code execution environments, or agent evaluation and observability tooling (e.g., tracing, prompt/response logging, eval harnesses) Experience setting verification and security standards for agent-produced code: injection, data-handling, and unsafe generated output Knowledge of best practices related to data storage and access at high volume MySQL/MSSQL - both query language and database structure/design What You'll Love About Us A Great Company Culture that has been recognized by multiple organizations like Inc , and Salt Lake Tribune Comprehensive health, life, and disability insurance Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life 401k plans with up to 6% company match $2000 Paid-Paid Vacation bonus EAP through Headspace Check out all our benefits that benefit you About Us At BambooHR, we're building something different: we're building a people intelligence platform that transforms HR and sets people free to do great work! We're a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you'll find a place that champions growth: both professional and personal, both individual and collective. We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office. What sets us apart isn't just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you. BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know. BambooHR is An Equal Opportunity Employer--M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired. For information on California Privacy Policy, click here . Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details. See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

Location: San Francisco; New York Workplace: OnSite ABOUT US: AI NEEDS A NEW INFRASTRUCTURE LAYER. WE'RE BUILDING IT AT MODAL. Every era of computing brought new workloads that previous infrastructure couldn't support: mainframes, databases, and the cloud. Each time, the company that rebuilt the layer underneath defined the decade. AI is no different, except it touches everything instead of one slice, and the window to build the layer underneath it is open right now. Our customers include category-defining companies like Ramp https://modal.com/blog/how-ramp-built-a-full-context-background-coding-agent-on-modal, Cognition, DoorDash, and Suno. They rely on Modal for instant GPU access, sub-second container starts, and native storage, so it's simple to serve low-latency inference, fine-tune models, and access production-ready sandboxes at scale. We've passed $1B in annualized run rate, up 15x from a year ago. In October 2026 we raised a $750M Series D led by Accel at a $15.75B valuation. Our team includes creators of popular open-source projects (e.g.,Seaborn https://github.com/mwaskom/seaborn,Luigi https://github.com/spotify/luigi), academic researchers, international olympiad medalists, and experienced engineering and product leaders with decades of experience. THE ROLE: Modal builds the infrastructure that lets engineers run AI workloads without the usual pain. To do this well, we need exceptional people, and that’s where you come in. As the first dedicated GTM recruiter on our Talent team, you’ll own sales, GTM, and G&A searches end-to-end. You’ll work closely with our Head of Talent, founders, and GTM leads to shape how we hire and help bring in the people who will define what Modal becomes. WHAT YOU'LL WORK ON: - Drive full-cycle recruiting for key hires across GTM and G&A functions (sourcing, pitching, guiding interviews, and closing candidates) - Partner with GTM leaders to understand the real work and calibrate on what great looks like - Help set our hiring bar and how we evaluate talent - Execute creative top-of-funnel strategies that resonate with a strong community of experienced GTM talent - Deliver a fast, respectful, honest candidate experience - Bring an equity lens to every stage of the process - Use data and market context to keep searches on track and expectations aligned - Support candidates as a trusted guide through high-stakes decisions YOU MAY BE A FIT IF: - You know GTM recruiting inside and out and enjoy challenging searches - You’re curious: you ask the right questions and love understanding how things actually work - You influence with insight and honesty, not by simply having the loudest voice in the room - You move quickly and communicate clearly, even when things get messy - You’re a strong closer who builds trust early and stays ahead of concerns - You’re steady when priorities shift and can recalibrate without losing momentum - You care about people and want them to have a thoughtful, fair, and human experience throughout the process

Location: Remote - Americas Who We Are: Alpaca is a US-headquartered, global leader in agent-first brokerage infrastructure for stocks, ETFs, options, crypto, fixed income, 24/5 trading, and more. Amongst our subsidiaries, Alpaca is a licensed financial services company, serving hundreds of financial institutions across 40 countries with our institutional-grade APIs. This includes broker-dealers, investment advisors, wealth managers, hedge funds, and crypto exchanges, totalling over 10 million brokerage accounts. Our global team is a diverse group of experienced engineers, traders, and brokerage professionals who are working to achieve our mission of opening financial services to everyone on the planet. We're deeply committed to open-source contributions and fostering a vibrant community, continuously enhancing our award-winning, developer-friendly API and the robust infrastructure behind it. Alpaca is proudly backed by $400 million in funding from top-tier global investors including Portage Ventures, Spark Capital, Tribe Capital, Social Leverage, Horizons Ventures, Opera Tech Ventures, SBI Group, Derayah Financial, Unbound, Peak XV, Elefund, and Y Combinator. Our Team Members: We're a dynamic team of 400+ globally distributed members who thrive working from our favorite places around the world, with teammates spanning the USA, Canada, Japan, Hungary, Nigeria, Brazil, the UK, and beyond! We're searching for passionate individuals eager to contribute to Alpaca's rapid growth. If you align with our core values—Stay Curious, Have Empathy, and Be Accountable—and are ready to make a significant impact, we encourage you to apply. Your Role : We're looking for a Senior Data Scientist, AI Evaluation to design how Alpaca measures whether our models and agents are actually right. You'll be a senior individual contributor who turns ambiguous quality questions into ground truth, scoring methods, and eval loops that the company can trust—and uses those results to make the systems better. You'll build on an established data foundation, so the focus is raising quality and speeding up safe rollout. You'll own the quality bar, independent of the teams that build and optimize those systems. This role is for someone who cares as much about whether an answer is correct as about whether a model can generate one. You'll partner with Product, Engineering, Analytics Engineering, and business stakeholders to define what "good" looks like, build the evaluations that test it, and close the loop so evals drive iteration. If you have a strong quantitative background, have shipped rigorous, measurable work (evaluation, experimentation, or model validation), and want ownership over a greenfield eval practice at a fast-growing brokerage-infrastructure company, this is the role. What You'll Do Design AI evaluations: Define ground truth, metrics, and scoring methods for models and agents. Build repeatable eval loops: Track quality over time and catch regressions before release. Partner on infrastructure: Work with engineering and analytics engineering to operationalize eval harnesses. Drive iteration: Translate eval results into actionable recommendations for system improvements. Establish quality standards: Set evaluation guidelines, documentation, and review practices. Mentor and align: Foster evaluation best practices and build a culture of measurable AI quality across the team. What We're Looking For Track record of quantitative measurement rigor (e.g., LLM/model evaluation, metric validation, or experimentation). Strong statistical and ML foundation—you treat evaluations as experiments (sample sizing, confidence intervals, significance, handling non-determinism) and validate automated graders against human ground truth. Proficiency in Python and SQL, with experience evaluating models in production environments. Strong judgment in defining quality metrics and ground truth for ambiguous outputs. Excellent communication and cross-functional collaboration skills to align technical teams and leadership. Strong problem-solving ability in fast-paced, greenfield environments. 6–10 years in quantitative data science or ML, with focused experience in measurement or evaluation. A quantitative degree is a plus; equivalent industry experience is equally welcome. Nice to Have Hands-on LLM/agent evaluation in production, including eval harnesses, LLM-as-judge calibration, and CI regression gates. Experience evaluating text-to-SQL, analytics agents, or other systems where correctness is verifiable against data. Background in fintech, brokerage, or other domains where a wrong answer has real business or risk consequences. Fluency with AI tools in research and engineering workflows. How We Take Care of You: Competitive Salary & Stock Options Health Benefits New Hire Home-Office Setup: One-time USD $500 Monthly Stipend: USD $150 per month via a Brex Card Alpaca is proud to be an equal opportunity workplace dedicated to pursuing and hiring a diverse workforce. Recruitment Privacy Policy

Location: Palo Alto, CA or Seattle, WA ABOUT DOCKER Docker has been one of the most loved brands in developer tooling, trusted by more than 20 million monthly users and over 20 billion container image pulls. From solo founders to the world's largest companies, developers rely on Docker to build, share, and run their applications across our suite of products including Docker Desktop, Docker Hub, and Docker Scout. We are a globally distributed, remote-first team building the tools that define how software gets built and delivered. As AI agents redefine software development, Docker is at the center of that shift, providing the sandboxed environments, verified images, and secure infrastructure that make autonomous workflows trustworthy by default. _______________________________________________________________________ THE ROLE As agents take on bigger jobs, the infrastructure around them matters more. Docker's answer is to give every agent a strong boundary, make its environment and authority reproducible, and let the work run where it makes sense, from a developer's laptop to the cloud. The Docker AI Substrate team brings that foundation to the enterprise: the largest companies in the world, running agents at scale, with the security, reliability, and control they expect from any critical system. We are a small, senior team at the start of that work. As a Staff Software Engineer here, you will shape the architecture, build the core systems, and run what you build. Locations: Seattle, WA or Palo Alto, CA. _______________________________________________________________________ RESPONSIBILITIES - Design and build the systems that deploy, release, and operate Docker's agentic platform for enterprise customers, in Go and on Kubernetes. - Make the platform run consistently across cloud providers and environments, with the security, identity, and network boundaries enterprises require. - Own the release and supply chain path so every deployment is reproducible, verifiable, and trusted. - Run what you build: production ownership, on-call, SLOs, incident response, and the operational tooling that keeps it boring. - Set technical direction with the team's architect and engineering leadership, and work with partner teams across runtime, developer experience, identity, and observability. - Raise the bar through design review, testing discipline, and mentorship as the team grows. - Take part in on-call rotation for your team, respond to incidents, debug production issues, and drive continuous improvement of system reliability _______________________________________________________________________ QUALIFICATIONS REQUIRED - You have built and operated a cloud control and management plane. Software that provisions, upgrades, and watches infrastructure for many tenants or environments, in production, with a pager. Experience at a cloud provider, a managed-service vendor, or a platform team that stamps out environments. - Kubernetes beyond deployment. You have written controllers or operators, understand reconciliation and CRDs, and know why declarative beats imperative at fleet scale. - Deep in at least one major cloud. Hands-on with compute, networking, identity, and managed services, and able to pick up a second cloud fast. - Production ownership. On-call, incident response, SLOs, post-mortems. You run what you build. - Distributed systems design. Fault tolerance, consistency, observability, idempotent reconciliation. - Go. Professional proficiency. Docker's backend and all of this team's code is Go. - 10+ years of professional software engineering in infrastructure, platform, or cloud services, with the judgment to set direction for others. STRONGLY PREFERRED - Kubernetes resource orchestration and cloud controllers, such as KRO. - Release engineering and software supply chain: OCI registries, digests, license compliance. - Private connectivity between cloud accounts: PrivateLink, VPC peering, service endpoints, egress policy. - OpenTelemetry pipelines with multiple destinations. - Building managed services. - Firecracker, microVMs, or other isolated execution environments for untrusted code. - Bachelor's degree in Computer Science or a related field, or equivalent practical experience. Visa sponsorship: Docker considers visa sponsorship on a case-by-case basis based on business needs. _______________________________________________________________________   COMPENSATION & EQUITY All full-time roles include equity. Final compensation is determined on factors including but not limited to experience, skills, qualifications, and location. United States: $170,350 – $275,550 base ______________________________________________________________________ POSTING INFORMATION - Open vacancy: This posting is for an existing open role. - AI in hiring: Docker may use AI-assisted tools during our recruiting process. - Interview recordings: Candidates will be invited to opt in to interview recordings to support interviewer calibration and consistent evaluations. Recordings are optional and require explicit consent. ______________________________________________________________________ PERKS & BENEFITS - Remote-first by design – Work from your home, with offices in Seattle and Paris for connection and collaboration. - Flexibility that fits your life – We trust you to manage your schedule while delivering great work. - Time to recharge – Generous PTO, designated quarterly Whaleness Days, and a designated end-of-year Whaleness break. - Home office support – Set up your workspace for comfort and success. - Technology stipend – Equivalent to US$100 net per month to help support your work. - Learning & development – Annual stipend for conferences, courses, certifications, and continued learning. - Parental leave – 16 weeks of paid parental leave after six months of employment. - Equity for all full-time employees – Share in Docker's long-term success as we continue to grow. - Comprehensive benefits – Medical, retirement, and paid holidays vary by country. - Docker swag – Because representing the whale never gets old. Docker is proud to be an equal opportunity employer. We are committed to building a team that reflects a broad range of backgrounds, experiences, and perspectives. We believe diverse teams build better products, make better decisions, and better serve our global community. #LI-REMOTE

Location: Germany; Poland; Czech Republic; Italy; Spain; Portugal; United Kingdom; Canada; Remote - Europe; Remote; Remote, Worldwide Workplace: remote About Welo Global  Welo Global is a leader in multilingual AI, technology, and content solutions serving over 2,000 clients in 300 languages. The company combines globally scaled multilingual infrastructure, including a network of over 500,000 linguists and domain experts, with advanced NLP, computational linguistics, and best-in-class compliance backed by seven ISO certifications. Welo Global’s five brands—Welocalize (multilingual content and localization services for global enterprises), Park IP (intellectual property and patent translation services for law firms and corporate legal teams), Welo Life Sciences (regulated language and compliance-aligned content solutions for pharmaceutical, biotech, and medical device organizations), Adapt (multilingual performance-led digital marketing agency), and Welo Data (multilingual data generation, evaluation, and human data infrastructure for AI systems)—serve distinct customer segments with purpose-built expertise, fit-for-purpose solutions, and supporting technology. weloglobal.com  The Role  We are seeking an experienced English into Ukrainian Review Lead to serve as the language quality owner and primary client-facing linguistic expert for a leading global technology client.  You will own the locale’s interpretation of the client’s quality standards and make sure that the Post-Editing Lead, Post Editors, and Reviewers all work to the same shared understanding of “good”. You will be the main point of contact for the client’s Language Manager on quality discussions, arbitration, and escalations, and you will drive consistency, quality governance, and continuous improvement across UI, marketing, product, informational, legal, and support content.  Project Details  - Location: Remote (based in one of the approved countries below) - Expected volume: Approximately 24 hours per month - Employment type: Freelance / Independent Contract - Task type: Language Lead Support - Content types: UI, Marketing, Informational, Legal, Product, Support - Language pair: English into Ukrainian  What You Will Do  -Analyse requirements: Review every style guide and glossary update, assess which quality categories and content types it affects, and record the changes. Track what the client’s Language Manager actually corrects and says in calibration and quality calls, not only what is written down. -Relay expectations: Run regular alignment roundtables with the language community and publish a structured monthly quality digest covering performance, priority improvement areas, style guide updates, and notable errors and arbitration outcomes. -Manage review quality actively: Coach Reviewers one-to-one using specific examples, run shadowing sessions, and deliver training built from real alignment data. -Improve the standard: Turn recurring justification patterns into well-reasoned style guide proposals, and share cross-locale patterns with the Welocalize Quality Manager. -Maintain alignment with the client: Treat Language Manager decisions as the standard, raise concerns with evidence at the right forum, and aim for fewer surprises over time. What You Will Own -The locale’s review service score, including RQE audit and alignment performance -The community’s shared understanding of quality  -The integrity of the arbitration record, ensuring that every arbitration sent to the client is valid and well-evidenced -The working relationship with the client’s Language Manager, including clarifications, escalations, and expectation tracking Requirements - Experience: 3 to 5+ years in Localization Quality Assurance (LQA), Senior Language Lead, or Quality Governance roles - Client and stakeholder management: Direct experience as the primary point of contact for client Language Managers, managing formal arbitration or escalation processes, and facilitating conflict resolution - Quality audit frameworks: Deep, practical experience with localization evaluation frameworks, including RQE, LQE, error rubrics, and severity mapping - Style guide and expectation analysis: Ability to analyse style guide changes, identify implicit client expectations, and map tolerance by content type (for example, Marketing vs. Legal vs. UI) - Meeting facilitation: Hands-on experience with one-to-one coaching, shadowing sessions, alignment roundtables, and structured monthly quality reporting - Analytical approach: Skill in tracking error concentrations, severity drift, and alignment scores, and in converting justification patterns into style guide improvements - Language: Native-level Ukrainian and professional-level English - Preferred: Prior experience supporting major technology localization programs and working with calibration or alignment tools Additional Key Information  - Successful candidates will be provided with a dedicated device for project work. - A background check is required as part of onboarding. - Candidates must be physically located in one of the approved countries. Approved countries: Argentina, Australia, Austria, Belgium, Brazil, Bulgaria, Canada, Chile, China, Colombia, Costa Rica, Croatia, Czech Republic, Denmark, Egypt, El Salvador, Finland, France, Germany, Ghana, Greece, Guatemala, Hong Kong, Hungary, India, Indonesia, Ireland, Israel, Italy, Japan, Kenya, Lithuania, Malaysia, Mexico, Netherlands, New Zealand, Nigeria, Norway, Peru, Philippines, Poland, Portugal, Qatar, Romania, Saudi Arabia, Singapore, South Africa, South Korea, Spain, Sweden, Switzerland, Taiwan, Thailand, Turkey, United Arab Emirates, United Kingdom, United States and Vietnam.   Why Join Us  This role offers a long-term partnership with global teams on high-visibility products. You will benefit from steady project volume, comprehensive onboarding and ongoing upskilling, and access to established linguistic resources.  If this sounds like the right opportunity, we would love to hear from you.  Beware of recruitment scams. Welo Global and all of its brands never recruit through direct messages on social media or WhatsApp, and never asks candidates to pay money for a job. Official emails come only from @welocalize.com, @welodata.ai, or @hire.lever.co, and all applications go through jobs.lever.co/weloglobal. Be wary of unexpected offers, generic email addresses (such as Gmail or Yahoo), and requests for fees or sensitive information. Report suspicious messages and learn more: Recognizing Scams and Confirming Legitimate Welocalize Communications – Welo Global

Location: Cairo, Egypt; Alexandria, Egypt Workplace: hybrid About Yassir:   Yassir is the leading super app in the Maghreb region, set on changing the way daily services are provided. It currently operates in 45 cities across Algeria, Morocco and Tunisia, with recent expansions into France, Canada and Sub-Saharan Africa. It is backed (~$200M in funding) by VCs from Silicon Valley, Europe and other parts of the world. We offer on-demand services such as ride-hailing and last-mile delivery. Building on this infrastructure, we are now introducing financial services to help our users pay, save and borrow digitally. We're helping usher the continent into a digital economy era, not just by serving people, but by building a marketplace that brings people what they need while infusing social values. About the Role Yassir's marketplace runs on decisions made millions of times a day: which driver gets which trip, what a ride should cost, when an order will arrive, which transaction looks fraudulent, who qualifies for credit. We are looking for a Product Manager who owns the machine learning systems behind those decisions and is accountable for their measurable impact on the business. This is a product role for ML-heavy, data-intensive products. You will lead discovery from data rather than from opinion, frame business problems as problems a model can actually solve, define what success means both offline and in production, and prove impact through well-designed experiments. You will work closely with data scientists, ML engineers and data engineers, and with product and operations partners across ride-hailing, delivery and financial services. What This Role Is (and Isn't) This role centres on predictive and decisioning ML: ranking, matching, forecasting, pricing, risk and personalisation. Experience building LLM or agentic features is welcome, but it is not a substitute for the fundamentals below. If your ML product experience is primarily integrating third-party models or APIs into user-facing features, this role is likely not the right fit. Responsibilities Data-led discovery: Identify and size ML opportunities by going into the data yourself. Diagnose where the marketplace is losing value (supply-demand imbalance, cancellations, ETA error, fraud losses, default rates) and translate it into a prioritised, quantified problem backlog. Problem framing: Turn business problems into well-posed ML problems: define the prediction target, the decision it informs, the unit of analysis, label availability and quality, and the cost of different error types. Know when a problem does not need ML and a rule or heuristic will do. Metrics and success criteria: Define the chain from model metrics (e.g. precision/recall, calibration, MAE) to product and business metrics, and own guardrail metrics. Understand why offline gains often fail to translate online, and plan for it. Experimentation and causal inference: Design and interpret controlled experiments, including in two-sided marketplace settings where interference makes standard A/B tests unreliable (switchback, geo or cluster-randomised designs). Reason about statistical power, novelty effects and heterogeneous impact across cities and segments. Distinguish correlation from causation, and know which quasi-experimental methods to use when randomisation isn't possible. ML product lifecycle: Own models from framing through data requirements, baseline, iteration, launch, monitoring and retirement. Partner with engineering on rollout strategy, model monitoring, drift detection, retraining cadence and failure modes. Treat a model in production as a product that degrades if unattended. Roadmap and trade-offs: Own the ML product roadmap across domains and countries. Make explicit trade-offs between accuracy, latency, cost, interpretability, fairness and regulatory requirements, especially in credit and financial services. Stakeholder alignment and visibility: Make the impact of ML work legible to non-technical leadership. Communicate results, including null and negative results, with rigour and clarity. Align product, operations, risk and marketing partners on shared objectives. Leadership and culture: Raise the bar on how the organisation makes decisions with data. Mentor peers, build a culture of feedback and trust, and invest in your own growth and that of those around you. Requirements 4+ years of product management experience, including at least 2 years owning ML-driven products that run in production and influence core business decisions (e.g. pricing, matching, ranking, forecasting, fraud, credit risk, recommendations). Hands-on fluency with data: you can write SQL, explore data independently and challenge an analysis without waiting for someone else to run it. Demonstrated experience designing, running and interpreting controlled experiments, and a solid working understanding of causal inference. Strong understanding of core ML concepts: supervised learning, evaluation metrics and their trade-offs, overfitting and leakage, bias, calibration, and the relationship between offline and online performance. A track record of shipping ML products where you can clearly articulate the problem framing, the metrics chosen, the experiment design and the measured business impact, including what went wrong. Experience working with distributed or remote teams across multiple markets. Experience in marketplaces, mobility, on-demand delivery or fintech is a strong plus. BSc/MSc in Engineering, Computer Science, Statistics, Data Science or a related quantitative field.

Location: European Union About Toloka At Toloka AI we create data that powers leading GenAI models and innovations. We work with frontier labs, big tech, renowned AI startups, enterprises and non-profit research organizations worldwide. We use a combination of Experts + Crowd + Tech Platform to teach AI models to reason and evaluate their efficacy and safety. We have experts in more than 50 different domains—from doctors and lawyers to physicists and engineers—and boast one of the most diverse global crowds, representing ove r 100 countries and speaking 40+ languages. We are a well-funded startup with an enviable portfolio of clients including Anthropic, Amazon, Microsoft, Poolside, Recraft, and Shopify. Recently, we secured strategic investment led by Bezos Expeditions and Nebius Group with participation from Mikhail Parakhin, CTO of Shopify and board advisor to leading GenAI companies, who now serves as our Chairman of the Board. Our remote-first team is globally distributed around the world : USA, UK, the Netherlands, Serbia , and more. About the Team We are the ML team inside Toloka — we build the machine-learning products that power the platform itself, so every project running on Toloka is faster, cheaper, and more reliable. A few examples of what we own: Enterprise post-training- we are helping real companies by providing them small LLMs that beat frontier models in quality at a fraction of the cost. Off-the-shelf post-training - we are conducting research on datasets we deliver to clients, showing that training on these datasets will improve their performance. Fine-tuning and RL — adapting frontier and open-source models to Toloka's tasks to hit the right quality at the right cost. Evaluation, benchmarking, cost modeling, and model selection across providers. LLM QA — the core technology behind Toloka's automated quality-check mechanism. Every annotation flowing through Self-Service is reviewed by an LLM agent we design, train, and operate. We own the full chain. The same team designs the ML solution, ships it to production, keeps it running 24/7, analyzes the results coming back from real projects, and feeds that signal into the next iteration. No hand-off between research, engineering, and operations — it's all us. About the Position As a Principal ML Researcher, you will define the overarching technical vision, research strategy, and architecture for Toloka’s core ML and post-training stack. In this high-impact role, you will bridge frontier AI research and large-scale platform engineering. You will lead technical strategy across greenfield post-training paradigms (such as GRPO, process/outcome reward modeling, and RLAIF), architect resilient automated evaluation ecosystems, and set the standard for how foundation models are adapted and served on our platform. As a technical authority, you will mentor senior ML engineers, collaborate directly with executive leadership, and represent Toloka in the broader AI research community. What you’ll do Drive Technical Strategy: Define the multi-quarter strategy and architecture for Toloka’s post-training stack, ensuring our fine-tuning, RL, and evaluation capabilities stay ahead of industry trends. Architect Greenfield Post-Training & RL Pipelines: Spearhead the transition beyond basic SFT into advanced RL frameworks (GRPO, PPO/DPO, reward modeling, Process Reward Models, and RLAIF) to power platform-wide LLM alignment and agent behavior. Pioneer Next-Gen Evaluation Harnesses: Design and calibrate bulletproof automated evaluation ecosystems, including human-aligned LLM-as-a-judge frameworks, dynamic benchmarking suites, and regression control setups. Advance Distillation & Inference Optimization: Lead research initiatives on model distillation, quantization, context compression (e.g., gisting), and speculative decoding to optimize latency-cost trade-offs at platform scale. Shape Agentic Platform Capabilities: Architect autonomous guiding agents and tool-use workflows, establishing foundational frameworks for multi-step reasoning, self-correction, and evaluation-driven feedback loops. Technical Leadership & Mentorship: Elevate the engineering and research bar across the team through architectural design reviews, hands-on mentoring of Senior ML Researchers, and establishing best practices for reproducible ML R&D. Cross-Functional & Community Influence: Partner with Product and Engineering directors to translate complex client challenges into scalable platform architecture; author high-impact research write-ups, blog posts, and external tech talks. What we're looking for 6+ years in ML engineering or applied research, with 3+ years of proven track record leading LLM post-training, fine-tuning, or alignment initiatives at scale. Deep theoretical and practical mastery of LLM alignment: SFT, LoRA/PEFT, RLHF/RLAIF (GRPO, DPO, PPO), reward modeling, and reasoning-oriented post-training. Mastery of LLM Evaluation & Calibration: Proven history of building evaluation pipelines from scratch, addressing LLM-as-a-judge biases, and tightly calibrating automated evals against human gold standards. Expert Distributed Training & Systems Engineering: Strong proficiency in Python, PyTorch, distributed training frameworks (Deepspeed, Megatron, FSDP), and high-performance inference engines (vLLM, TensorRT-LLM). Architectural Vision & Product Leadership: Demonstrated ability to map ambiguous technical challenges into robust platform features, balancing state-of-the-art research with production reliability and cost constraints. Technical Authority: Proven experience acting as a technical leader, mentoring senior researchers/engineers, and influencing cross-functional roadmaps. Language: Fluent spoken and written English (C1), with clear communication skills to articulate complex technical concepts to both internal teams and external clients/community. What we can offer You will be part of an international, dynamic environment that drives innovation and sets new standards in the AI and technology sector. Competitive compensation package including base salary, bonus, and ESOP. Paid PTO and benefits will vary depending on location. We offer a full remote or hybrid model (if you are based in NL or Serbia). IT setup and home office allowances. Equal Opportunity Employer: Toloka is committed to providing equal opportunity and fostering an inclusive environment. We welcome applications from all qualified individuals and do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, gender identity, age, marital status, veteran status, disability, or any other characteristic protected by applicable law. Selection decisions are made based on qualifications, merit, and business need. [Important Notice] Scam Alert Regarding Fake Job Postings It has come to our attention that an individual or group is fraudulently impersonating Toloka to post fake jobs and solicit personal information from applicants. Please be aware: Official Communication: Our recruiting team will only contact you from an official " toloka.ai " email address. We will NEVER use Gmail, Yahoo, Tolokainc, toloka.inc, or other personal or seemingly business email accounts. Our Process: We will never ask for your bank account details, credit card number, or any fees as part of the application or interview process. Official Listings: All legitimate job openings are posted on our official careers page: https://toloka.ai/careers#job-list What to do: If you see a suspicious job posting or have been contacted by someone you suspect is a scammer, please do not provide any personal information. Instead, report the incident to us directly at security@toloka.ai and report the profile/post to LinkedIn.We are taking this matter very seriously and are working with the appropriate parties to resolve it. Thank you for your vigilance! To learn how we collect, use, disclose, and store personal data, check out our Privacy Notice .

Location: Monclova, Mexico; Monterrey, Mexico We are seeking an experienced Source Inspector to inspect manufactured components and assemblies before shipment to a U.S.-based industrial fabrication company. Working onsite in Monclova, you will verify that products meet engineering drawings, specifications, approved revisions, and quality requirements. You will identify defects, document inspection results, and help prevent nonconforming products from reaching downstream production. The scope includes fabricated metal components, welded structures, frames, panels, enclosures, sheet-metal parts, machined components, and mechanical or electrical assemblies. This is a practical inspection position working closely with Supplier Quality Management, Supplier Quality Engineering, and manufacturing teams. The role is based in an industrial manufacturing environment involving fabrication, welding, machining, and assembly. Activities include standing and walking for extended periods, using measuring tools, and following required personal protective equipment and site safety procedures. Candidates based in Monclova or surrounding areas are encouraged to apply. Candidates from other locations must be willing and able to work onsite in Monclova. Apply with your updated resume highlighting your fabrication inspection experience, measuring instruments used, and availability to work in Monclova. Responsibilities Perform in-process, final, and pre-shipment inspections of fabricated products and assemblies. Verify product identification, quantities, purchase order requirements, drawing revisions, and applicable specifications before inspection. Inspect dimensions, workmanship, weld appearance, surface finishes, and assembly quality against approved requirements. Perform basic functional checks when specified in the inspection plan. Use calibrated measuring equipment, including calipers, micrometers, height gauges, pin gauges, indicators, tape measures, and squares. Confirm that engineering changes and approved revisions have been correctly implemented. Review material certificates, supplier inspection records, test results, and traceability documentation. Identify and document nonconforming products through clear descriptions, measurements, photographs, and references to requirements. Initiate or support Nonconformance Reports (NCRs) and promptly escalate issues affecting quality, fit, function, or shipment timing. Support containment, sorting, reinspection, and verification of supplier corrections. Withhold product release when requirements are not met or supporting evidence is incomplete, following established procedures and delegated authority. Prepare complete inspection reports and submit supporting documentation within 24 hours of inspection completion. Maintain accurate, traceable records in the designated quality or ERP system. Follow ISO 9001-based quality procedures, document-control requirements, and site safety rules. Requirements At least 3 years of experience in manufacturing quality, source inspection, receiving inspection, fabrication inspection, or supplier quality. Demonstrated experience inspecting fabricated metal products or assemblies in a manufacturing environment. Ability to read and interpret engineering drawings, bills of material, specifications, tolerances, and inspection instructions. Working knowledge of GD&T , including its application to drawings using ASME Y14.5. Practical experience using precision measuring and inspection equipment. Working knowledge of ISO 9001 principles , document control, traceability, and control of nonconforming products. Experience documenting quality issues, preparing NCRs, and supporting corrective actions. Proficiency with Microsoft Excel and Outlook, and the ability to learn ERP and quality-management systems. Strong attention to detail, sound judgment, and clear written and verbal communication. Ability to work independently while coordinating with suppliers, engineering, and production teams. Availability to work onsite in Monclova, Coahuila . Preferred Qualifications Experience inspecting weldments, structural frames, sheet metal, electrical enclosures, busbar assemblies, or mechanical and electromechanical assemblies. Familiarity with weld inspection, surface finishes, coatings, and assembly verification. ISO 9001 internal-auditor training or equivalent quality-system experience. Experience with first-article inspection, sampling plans, and supplier inspection activities. Familiarity with 8D, root cause analysis, 5 Why, and basic statistical process control. Benefits Opportunity to work with an established U.S.-based industrial fabrication company. Exposure to diverse metal fabrication and electromechanical assembly projects. Close collaboration with engineering, manufacturing, and supplier quality teams. Opportunity to strengthen your technical inspection and quality-control expertise. A meaningful role in ensuring product quality and supporting successful project delivery.

Location: Lomira, WI Michels Road & Stone, Inc., is shaping the future. We provide and place materials for road, airport, mass excavation and shoreline protection projects. Our projects are large; the tolerance for error is tiny. Our leaders, field crews and massive fleet of specialized equipment is focused on excellence. Are you? Our work improves lives. Find out how a career at Michels Road & Stone, Inc. can change yours A Construction Technology Specialist is responsible for supporting all aspects related to 3D modeling, surveying and GPS Grade Control activities for the division such as: reviewing BIM Clash detection with applicable software (Revisto, NavisWorks), reviewing construction plan sets, performing take-offs and building project models, collecting grade points, utilities and other infrastructure data and calibrating project sites using GPS survey and/or grad control equipment Why Michels Road & Stone, Inc.? We will never ask you to prioritize speed ahead of safety We are family owned and operated We invest an average of $5,000 per employee on training each year We share experience and insights to develop industry leaders We are a part of the Michels family of companies – one of North America’s largest, most diversified energy and infrastructure contractors We offer a comprehensive benefits program, including Health, Dental, Life, Flexible Spending Accounts, Health Savings Account, Short Term and Long-Term Disability Insurance, 401(k) plan, Legal Plan, and Identity Theft and Monitoring Plan.  Depending on your positions and location you may participate in a different benefit plan Why you? You thrive in fast-paced environments under tight deadlines You relish new challenges and evolving technology You enjoy collaborating and communicating with your teammates You like to know your efforts are noticed and appreciated You possess strong written and verbal communication skills What it takes: 0-3 years of heavy civil or related experience, or equivalent combination Strong analytical and problem-solving skills with attention to detail. Proficient in Microsoft Office, AutoCAD, MicroStation, Trimble Software, Top Con, GPS or Reivt, Revisto, Navisworks, GIS Software, BIM360 Strong organizational Skills Must possess a valid driver license for the type(s) of vehicles which may be driven, and an acceptable driving record as determined by Michels Review Team. AA/EOE/M/W/Vet/Disability https://www.michels.us/website-user-privacy-policy/