{ "count" : 22929, "data" : [ { "id" : "6a2ca45774d8ee00a09b1631", "title" : "Recruiter, PhD & Research", "company" : "Hudson River Trading", "industry" : "Technology", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Recruiter in London, UK, with adjustments for the FinTech industry and company size." }, "location" : "London, United Kingdom", "locations" : [ "London", "United Kingdom", "New York", "NY", "United States" ], "timestamp" : "2026-06-15T10:09:31.704", "fingerprint" : "88101a77ddcffe2b3dfa5e7862b0156df090b47169efad1f08160945d234d45b", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.hudsonrivertrading.com/careers/job/?gh_jid=7997989", "externalId" : "7997989", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, United Kingdom", "minimumEducation" : "PhD", "experienceMinYears" : 2, "professionalSkills" : [ "Talent management", "Employee relations", "HR processes", "Organizational development", "Relationship building", "Passive talent identification", "Technical domain understanding", "Candidate experience", "Process improvement", "Pipeline management", "Academic engagement" ], "hardSkillsList" : [ "Quantitative talent hiring", "Inbound funnel management", "Offer negotiation", "Closing elite talent" ], "softSkillsList" : [ "Intellectual curiosity", "Composure" ], "hardSkills" : [ { "name" : "Quantitative talent hiring", "level" : "intermediate" }, { "name" : "Inbound funnel management", "level" : "intermediate" }, { "name" : "Offer negotiation", "level" : "intermediate" }, { "name" : "Closing elite talent", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Intellectual curiosity" }, { "name" : "Composure" } ], "majorSkills" : "PhD recruiting, Technical recruiting, Quantitative recruiting, Relationship building", "majorSkillsList" : [ "PhD recruiting", "Technical recruiting", "Quantitative recruiting", "Relationship building" ], "coreResponsibilities" : "Source and cultivate relationships, Immerse in technical domains, Manage inbound pipeline, Deliver personalized candidate experience, Identify strategic opportunities, Position HRT as premier destination, Represent HRT at events, Ensure efficient interview process, Own offer and conversion process, Navigate complex negotiations, Improve pipeline management, Improve candidate experience, Improve academic engagement", "teamCollaboration" : "Close-knit group; Supportive people", "projectManagementSkills" : [ "Pipeline management" ], "domainKnowledge" : "Math; Physics; Computer science; Quantitative talent; Computational talent; Scientific talent; Mathematical talent; Algorithmic trading", "domainList" : [ "math", "physics", "computer-science", "quantitative-talent", "computational-talent", "scientific-talent", "mathematical-talent", "algorithmic-trading" ], "domainSpecificKnowledge" : [ "Math", "Physics", "Computer science", "Quantitative talent", "Computational talent", "Scientific talent", "Mathematical talent", "Algorithmic trading" ], "communicationSkills" : "Engage thoughtfully", "qualificationsBasic" : "2+ years track record, Hiring elite technical talent, Full-lifecycle recruiting agility, Exceptional intellectual curiosity, Hands-on execution mindset, High resilience and composure, Organizational precision, Collaborative, thoughtful disposition", "qualificationsPreferred" : "Experience recruiting PhDs, Experience recruiting researchers, Experience recruiting elite tech talent", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Hudson River Trading (HRT) is seeking a PhD Recruiter to join our Campus Recruiting team. In this role, you’ll focus on building deep, long-term relationships with elite graduate students, specialized research labs, and top-tier industry talent to ensure HRT consistently connects with the world's strongest researchers in math, physics, computer science, and related fields. The ideal candidate is adept at identifying passive talent and building genuine relationships with top-tier PhDs and industry researchers. We are looking for someone who enjoys immersing themselves in deep technical domains to understand what truly best-in-class talent looks like, seamlessly bridges the gap between academia and industry, and thrives in an open and collaborative environment. While you will ultimately help shape our long-term talent strategy, you should be highly execution-focused and energized by the immediate challenge of navigating a fast-paced, high-volume pipeline of top talent and engaging with the world’s foremost mathematical and computational minds. Responsibilities Proactively source and cultivate long-term relationships with top-tier PhD candidates, pioneering research labs, and elite industry researchers globally Immerse yourself in technical domains to build a deep understanding of what world-class quantitative and computational talent looks like Manage a high-volume, fast-paced inbound pipeline of applications with energy and enthusiasm Deliver a highly personalized, intellectually engaging candidate experience that mirrors HRT's culture from first contact to close Identify and execute strategic opportunities to position HRT as the premier destination for the world’s foremost scientific and mathematical minds Represent HRT at high-caliber academic and industry events (such as specialized conferences, workshops, and research seminars) that align with our rigorous hiring bar Partner with Recruiting Coordinators to ensure an exceptionally efficient, streamlined interview process Own the entire offer and conversion process, navigating complex negotiations and closing elite talent in a highly competitive market “Make it Better” is one of HRT’s core values. You will be responsible for process improvements across the areas you oversee, including pipeline management, candidate experience, and academic engagement Qualifications 2+ years track record of hiring elite technical or quantitative talent against an extremely high bar (experience recruiting PhDs, researchers, or elite tech talent is a plus, but a sharp eye for elite capability is the priority) Full-lifecycle agility, with the ability to balance targeted campus engagement and proactive outbound scouting with the efficient management of a fast-paced inbound funnel Exceptional intellectual curiosity – you are eager to deeply understand complex technical domains and can engage thoughtfully with world-class minds A hands-on execution mindset. You are energized by the day-to-day momentum of active recruiting and enjoy staying close to the ground, driving results rather than focusing solely on high-level strategy High resilience and composure, with the organizational precision required to navigate a busy, fluid pipeline seamlessly A collaborative, thoughtful disposition – we want teammates who value joining a close-knit group of incredibly smart and supportive people The estimated base salary range for this position is 140,000 to 180,000 USD per year (or local equivalent). The base pay offered may vary depending on multiple individualized factors, including location, job-related knowledge, skills, and experience. This role will also be eligible for discretionary performance-based bonuses and a competitive benefits package. Culture Hudson River Trading (HRT) brings a scientific approach to trading financial products. We have built one of the world's most sophisticated computing environments for research and development. Our researchers are at the forefront of innovation in the world of algorithmic trading. At HRT we welcome a variety of expertise: mathematics and computer science, physics and engineering, media and tech. We’re a community of self-starters who are motivated by the excitement of being at the cutting edge of automation in every part of our organization—from trading, to business operations, to recruiting and beyond. We value openness and transparency, and celebrate great ideas from HRT veterans and new hires alike. At HRT we’re friends and colleagues – whether we are sharing a meal, playing the latest board game, or writing elegant code. We embrace a culture of togetherness that extends far beyond the walls of our office. Feel like you belong at HRT? Our goal is to find the best people and bring them together to do great work in a place where everyone is valued. HRT is proud of our diverse staff; we have offices all over the globe and benefit from our varied and unique perspectives. HRT is an equal opportunity employer; so whoever you are we’d love to get to know you. Please be advised: Use of AI tools during interviews or assessments is strictly prohibited, unless otherwise instructed or agreed upon. We employ various methods to evaluate the authenticity of candidate responses. If we determine that AI assistance was used during any stage of the hiring process, we reserve the right to immediately disqualify your candidacy or rescind any job offers extended.", "summaryDescription" : "Recruiter, PhD & Research at Hudson River Trading. Skills: PhD recruiting, Technical recruiting, Quantitative recruiting, Relationship building. Source and cultivate relationships. Immerse in technical domains", "postedDate" : "2026-06-14T08:45:38.793", "createdAt" : "2026-06-14T08:45:38.793", "lastUpdated" : "2026-06-15T10:09:31.704", "ingestTimestamp" : "2026-06-14T08:45:38.793", "mongoId" : "6a2ca45774d8ee00a09b1631", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Quantitative talent hiring", "Inbound funnel management", "Offer negotiation", "Closing elite talent", "Intellectual curiosity", "Composure", "PhD recruiting", "Technical recruiting", "Quantitative recruiting", "Relationship building", "Talent management", "Employee relations", "HR processes", "Organizational development", "Passive talent identification", "Technical domain understanding", "Candidate experience", "Process improvement", "Pipeline management", "Academic engagement", "Math", "Physics", "Computer science", "Quantitative talent", "Computational talent", "Scientific talent", "Mathematical talent", "Algorithmic trading" ], "skillCount" : 28, "jobCategory" : "operations", "jobSubcategory" : "hr", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2a8fec74d8ee00a068a6b2", "title" : "Mathematics AI Training Expert - PhD", "industry" : "STEM ", "salary" : { "min" : 40.0, "max" : 40.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Estonia", "locations" : [ "Estonia" ], "timestamp" : "2026-06-14T22:14:57.200", "fingerprint" : "1b2c9d4ac0c77102b7b46b15101f165a9e87bf5ad27d7d345ea5759f0abdcfd3", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/anyone-ai/d4cb134b-6f86-474b-891c-5bf646609e71/application", "externalId" : "d4cb134b-6f86-474b-891c-5bf646609e71", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "minimumEducation" : "Master's", "technicalSkills" : "Python, numpy, scipy, pandas", "professionalSkills" : [ "Mathematical modeling", "Proof-based reasoning", "Applied mathematics", "Computational mathematics" ], "hardSkillsList" : [ "Numerical methods", "Computational approaches" ], "hardSkills" : [ { "name" : "Numerical methods", "level" : "intermediate" }, { "name" : "Computational approaches", "level" : "intermediate" } ], "majorSkills" : "Mathematics, AI Training, Problem Design", "majorSkillsList" : [ "Mathematics", "AI Training", "Problem Design" ], "coreResponsibilities" : "Design advanced mathematical problems, Create deterministic problems, Write complete solutions, Document the reasoning process, Develop problems testing mathematical reasoning, Use Python to build workflows, Use specialized tools to build workflows, Ensure outputs are technically precise, Ensure outputs are reproducible, Ensure outputs are well-written", "domainKnowledge" : "Frontier AI models; Model reasoning", "domainList" : [ "frontier-ai-models", "model-reasoning" ], "domainSpecificKnowledge" : [ "Frontier AI models", "Model reasoning" ], "communicationSkills" : "Technical writing", "documentationSkills" : "Documentation of reasoning process", "problemSolvingSkills" : "Mathematical reasoning", "outcomesObjectives" : "Design problems with one correct answer; Submit problems with verified solutions", "qualificationsBasic" : "Master's or PhD in Mathematics, Research or industry experience, Python comfort, Solid grasp of algorithms, Ability to design original problems, Excellent attention to detail, Technical writing skills in English", "qualificationsPreferred" : "Experience with symbolic math systems, Experience with theorem provers, Experience with optimization solvers, Experience with other mathematical software, Background in olympiad-level problem design, Background in graduate-level problem design, Background in research-level problem design, Experience evaluating model reasoning, Experience benchmarking model reasoning, Experience with technical assessment design", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Help shape the future of AI by designing challenging math problems that test and improve reasoning in cutting-edge models. - Location: Remote - Type: Contract / Part-time - Commitment: 20 hours per week - Compensation: Up to 40 USD / hr - Project duration: 2 months, with potential extension - Availability: Immediate start ABOUT THE ROLE We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD. 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD. 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. 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Work with General Manager; Work with Assistant General Manager", "domainKnowledge" : "Cannabis laws; Cannabis industry", "domainList" : [ "cannabis-laws", "cannabis-industry" ], "domainSpecificKnowledge" : [ "Cannabis laws", "Cannabis industry" ], "toolProficiency" : [ "Computer software" ], "specialRequirements" : "Move about dispensary, Remain stationary, Converse with individuals, Operate machinery, Prepare orders, Move inventory, Work outdoors, Adverse weather conditions, Exposure to cannabis", "qualificationsBasic" : "3+ years customer service experience, 1+ year supervisory experience, Meet scheduling requirements, Reliable, responsible attendance, 21 years or older, Valid driver's license or ID, Understand Green Thumb policies, Solid understanding of Cannabis laws", "qualificationsPreferred" : "Cannabis experience preferred, Inventory control experience preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Role The Leader in Training (LIT) is an adaptable and essential part of the RISE Dispensary leadership team that prioritizes delivering memorable, positive consumer experiences. As part of the leadership team, you have a key role in actively supervising the dispensary’s daily operations, communicating priorities to team members, and optimizing the customer journey. As a Leader in Training, you will gain subject matter expertise as you rotate through critical dispensary functions supporting operations, experience, and people. The Leader in Training role puts you on a fast track to growth and is a developmental step to becoming Assistant General Manager. Responsibilities Operations Support management in overseeing the execution of all dispensary operations to ensure compliance with security, inventory, and local and state regulations. Monitor and maintain inventory levels, ensuring an assortment of products and communicating inventory action items with management. Oversee the intake and verification of deliveries, transfers, and inventory management, ensuring accuracy within the vault. Actively participate in leading team members to effectively execute programs, initiatives, and regionalized in-store promotions. Demonstrate proper cash handling, including accurately processing payments, discount application, and cash maintenance, and oversee team member execution. Experience Lead by example and motivate team members to consistently deliver memorable, positive in-store customer experiences. Participate in “Leader On Duty” shifts to provide active supervision, team member recognition, and redirect behaviors to support the customer journey. Facilitate a seamless omni-channel customer experience and provide oversite to deliver consistency across in-store, drive-thru, curbside & delivery. Lead by example and motivate team members to deliver Loyalty goals. Complete and appropriately delegate assigned tasks during scheduled shifts. Ensure adequate sales floor coverage and zoning during shifts. People In partnership with the General Manager or Assistant General Manager, build and retain a high-performing team by participating in selecting the best talent and leading the onboarding and training of new team members. Provide coaching and feedback to help team members exceed performance and behavioral expectations. Partner with management to issue accountability. Help facilitate the store’s team member badging process with local and state agencies. Maintain and coordinate scheduling of team members' shifts, meal breaks, and rest periods. Perform other duties as needed. Qualifications At least three years of customer service or retail experience, with at least one year in a supervisory role. Cannabis experience preferred Inventory control experience preferred Meet the scheduling and availability requirements (i.e., ability to work a schedule inclusive of varying shifts such as mornings, days, nights, and weekends) to meet business needs Must have reliable, responsible and dependable attendance. Must be 21 years or older. Must pass any and all required background checks. Must possess a valid driver’s license or state ID. Must understand and comply with the rules, regulations, policies, and procedures of Green Thumb Must have a solid understanding of the Cannabis laws, rules and regulations, and a passion to further their understanding and knowledge of the industry and the laws. Prior cannabis experience not required Skills Must be proactive, with a strong work ethic, attention to detail, and strong communication and leadership skills. Meet timelines consistently and be able to work under pressure effectively. Continuously open to constructive, developmental feedback, and maintaining composure even in difficult situations. High level of interpersonal skills in a fast-paced, deadline-oriented environment, often working cross-functionally. Ability to use standard office equipment and computer software including word processing, database management, spreadsheet applications, and email Highly motivated, self-directed, innovative, and able to work independently or among teams with keen judgment, common sense, and resourcefulness. Adapts and thrives in a demanding, fast-paced environment Possesses a high level of critical thinking Operates with a high level of professionalism and integrity, including dealing with confidential information Ability to resolve conflict, handle employee and customer complaints, and settle disputes Additional Requirements Must have the ability to perform the following tasks for prolonged periods of time (i.e., up to the duration of a scheduled shift or workday) Move about the dispensary in order to fulfill work assignments and assist employees and patients and/or customers in various locations of the dispensary Remain in a stationary position, if required, to meet the needs of the business Converse and communicate with individuals and groups of people directly Operate point of sale system, computer, and other office productivity machinery in order to use online programming and software including word processing, database management, spreadsheet applications and email Prepare patient and customer orders by moving and placing products Inspect and receive detailed information, such as patients' and/or customers' dates of birth, in-store or online orders, or inquiries Move inventory and materials weighing up to 30 pounds independently Position self to move inventory and materials in storage areas Working Conditions Patient and/or customer-facing environment Ability to work outdoors in varying and sometimes adverse weather conditions Exposure to cannabis and/or allergens that might be present in an environment where cannabis is present and prevalent", "summaryDescription" : "Leader in Training at RISE Dispensary. Skills: Customer experience, Operations management, Team supervision. Supervise dispensary operations. Ensure compliance with regulations", "postedDate" : "2026-06-15T23:20:22.324", "createdAt" : "2026-06-15T23:20:22.324", "lastUpdated" : "2026-06-16T07:18:39.242", "ingestTimestamp" : "2026-06-15T23:20:22.324", "mongoId" : "6a3056aef292fd229cf2c9d1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 40500, "salaryAnnualMax" : 54500, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Payment processing", "Discount application", "Cash maintenance", "Product assortment", "Delivery verification", "Inventory verification", "Leadership", "Interpersonal skills", "Judgment", "Resourcefulness", "Adaptability", "Critical thinking", "Customer experience", "Operations management", "Team supervision", "Cash handling", "Inventory management", "Customer service", "Team leadership", "Onboarding", "Training", "Coaching", "Feedback delivery", "Scheduling", "Conflict resolution", "Cannabis laws", "Cannabis industry", "Computer software" ], "skillCount" : 28, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a8fec74d8ee00a068a6a7", "title" : "Mathematics AI Training Expert - PhD", "industry" : "STEM ", "salary" : { "min" : 40.0, "max" : 40.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Finland", "locations" : [ "Finland" ], "timestamp" : "2026-06-13T09:51:09.561", "fingerprint" : "fe100274fdbf7cd1f2604fdd1cc33c32ddbabbee12ebf0ac295fee30d756dc8f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/anyone-ai/38b35a96-7dbf-4c14-8c93-8214b595f2d9/application", "externalId" : "38b35a96-7dbf-4c14-8c93-8214b595f2d9", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "minimumEducation" : "PhD", "technicalSkills" : "Python, numpy, scipy, pandas", "professionalSkills" : [ "Mathematical modeling", "Proof-based reasoning", "Applied mathematics", "Computational mathematics" ], "hardSkillsList" : [ "Numerical methods", "Computational approaches" ], "hardSkills" : [ { "name" : "Numerical methods", "level" : "intermediate" }, { "name" : "Computational approaches", "level" : "intermediate" } ], "majorSkills" : "Mathematics, AI Training, Problem Design", "majorSkillsList" : [ "Mathematics", "AI Training", "Problem Design" ], "coreResponsibilities" : "Design advanced mathematical problems, Create deterministic problems, Write complete solutions, Document the reasoning process, Develop problems testing reasoning, Build computational workflows, Ensure outputs are technically precise, Ensure outputs are reproducible, Ensure outputs are well-written", "domainKnowledge" : "Frontier AI models; Model reasoning", "domainList" : [ "frontier-ai-models", "model-reasoning" ], "domainSpecificKnowledge" : [ "Frontier AI models", "Model reasoning" ], "communicationSkills" : "Technical writing", "documentationSkills" : "Document reasoning process", "problemSolvingSkills" : "Mathematical reasoning", "qualificationsBasic" : "Master's or PhD in Mathematics, Research or industry experience, Python comfort, Solid grasp of algorithms, Ability to design original problems, Excellent attention to detail, Technical writing skills in English", "qualificationsPreferred" : "Experience with symbolic math systems, Experience with theorem provers, Experience with optimization solvers, Experience with mathematical software, Background in olympiad-level problem design, Background in graduate-level problem design, Background in research-level problem design, Experience evaluating model reasoning, Experience benchmarking model reasoning, Experience in technical assessment design", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Help shape the future of AI by designing challenging math problems that test and improve reasoning in cutting-edge models. - Location: Remote - Type: Contract / Part-time - Commitment: 20 hours per week - Compensation: Up to 40 USD / hr - Project duration: 2 months, with potential extension - Availability: Immediate start ABOUT THE ROLE We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD. Skills: Mathematics, AI Training, Problem Design. Design advanced mathematical problems. Create deterministic problems", "postedDate" : "2026-06-11T17:54:34.600", "createdAt" : "2026-06-11T17:54:34.600", "lastUpdated" : "2026-06-13T09:51:09.561", "ingestTimestamp" : "2026-06-11T17:54:34.600", "mongoId" : "6a2a8fec74d8ee00a068a6a7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 40, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Numerical methods", "Computational approaches", "Mathematics", "AI Training", "Problem Design", "Mathematical modeling", "Proof-based reasoning", "Applied mathematics", "Computational mathematics", "Frontier AI models", "Model reasoning" ], "skillCount" : 11, "jobCategory" : "other", "jobSubcategory" : "stem-", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a8fec74d8ee00a068a6b9", "title" : "Mathematics AI Training Expert - PhD", "industry" : "STEM ", "salary" : { "min" : 40.0, "max" : 40.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Egypt", "locations" : [ "Egypt" ], "timestamp" : "2026-06-14T20:40:47.892", "fingerprint" : "18cc507303a6fa9e09aa70f8236ebaabf4802373c0cb71e31726c3676d6f1a6a", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/anyone-ai/99f2257f-66c7-4fb8-85b6-075696f716cc/application", "externalId" : "99f2257f-66c7-4fb8-85b6-075696f716cc", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "minimumEducation" : "PhD", "technicalSkills" : "Python, numpy, scipy, pandas", "professionalSkills" : [ "Mathematical modeling", "Proof-based reasoning", "Applied mathematics", "Computational mathematics", "Numerical methods", "Computational approaches" ], "hardSkillsList" : [ "Mathematical reasoning", "Technical writing" ], "hardSkills" : [ { "name" : "Mathematical reasoning", "level" : "intermediate" }, { "name" : "Technical writing", "level" : "intermediate" } ], "majorSkills" : "Mathematics, AI Training, Problem Design", "majorSkillsList" : [ "Mathematics", "AI Training", "Problem Design" ], "coreResponsibilities" : "Design advanced mathematical problems, Create deterministic problems, Write complete solutions, Document the reasoning process, Develop problems testing mathematical reasoning, Use Python to build workflows, Use specialized tools to build workflows, Ensure outputs are technically precise, Ensure outputs are reproducible, Ensure outputs are well-written", "domainKnowledge" : "Frontier AI models; Model reasoning; Technical domains", "domainList" : [ "frontier-ai-models", "model-reasoning", "technical-domains" ], "domainSpecificKnowledge" : [ "Frontier AI models", "Model reasoning", "Technical domains" ], "communicationSkills" : "Technical writing", "documentationSkills" : "Document reasoning process", "problemSolvingSkills" : "Mathematical reasoning", "qualificationsBasic" : "Master's or PhD in Mathematics, Research or industry experience, Python comfort, Solid grasp of algorithms, Ability to design original problems, Excellent attention to detail, Technical writing skills in English", "qualificationsPreferred" : "Experience with symbolic math systems, Experience with theorem provers, Experience with optimization solvers, Experience with mathematical software, Background in olympiad-level problem design, Background in graduate-level problem design, Background in research-level problem design, Experience evaluating model reasoning, Experience benchmarking, Experience with technical assessment design", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Help shape the future of AI by designing challenging math problems that test and improve reasoning in cutting-edge models. - Location: Remote - Type: Contract / Part-time - Commitment: 20 hours per week - Compensation: Up to 40 USD / hr - Project duration: 2 months, with potential extension - Availability: Immediate start ABOUT THE ROLE We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD. Skills: Mathematics, AI Training, Problem Design. Design advanced mathematical problems. Create deterministic problems", "postedDate" : "2026-06-11T17:41:39.269", "createdAt" : "2026-06-11T17:41:39.269", "lastUpdated" : "2026-06-14T20:40:47.892", "ingestTimestamp" : "2026-06-11T17:41:39.269", "mongoId" : "6a2a8fec74d8ee00a068a6b9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 40, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Mathematical reasoning", "Technical writing", "Mathematics", "AI Training", "Problem Design", "Mathematical modeling", "Proof-based reasoning", "Applied mathematics", "Computational mathematics", "Numerical methods", "Computational approaches", "Frontier AI models", "Model reasoning", "Technical domains" ], "skillCount" : 14, "jobCategory" : "other", "jobSubcategory" : "stem-", "dataQualityScore" : 0.7777778, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a307061f292fd229cff4070", "title" : "Operations In-Training", "company" : "1-800-GOT-JUNK?", "industry" : "Logistics", "salary" : { "min" : 15.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Centennial, Colorado, United States", "locations" : [ "Centennial", "Colorado", "United States" ], "timestamp" : "2026-06-16T12:12:56.025", "fingerprint" : "a83e50e7085b09a6ec19247b930c1cd74c0a248fa4f8c5e933fa8c6fc44442ad", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1800gotjunk/jobs/4286015009", "externalId" : "4286015009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Centennial", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.5791550,-104.8769227" } ], "locationText" : "Centennial, Colorado, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Microsoft Office", "professionalSkills" : [ "Route planning", "Scheduling", "Logistics management", "Operational performance", "Customer satisfaction", "Sales closing", "Job value maximization", "Team motivation" ], "hardSkillsList" : [ "Junk removal", "Heavy lifting", "Light lifting", "Truck driving", "Truck loading" ], "softSkillsList" : [ "Leadership", "Coachability", "Solution-driven" ], "hardSkills" : [ { "name" : "Junk removal", "level" : "intermediate" }, { "name" : "Heavy lifting", "level" : "intermediate" }, { "name" : "Light lifting", "level" : "intermediate" }, { "name" : "Truck driving", "level" : "intermediate" }, { "name" : "Truck loading", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Coachability" }, { "name" : "Solution-driven" } ], "majorSkills" : "Sales, Operations, Customer experience, Team leadership", "majorSkillsList" : [ "Sales", "Operations", "Customer experience", "Team leadership" ], "coreResponsibilities" : "Deliver exceptional service, WOW our customers, Drive trucks safely, Load trucks safely, Lead drivers, Train drivers, Motivate drivers, Lead crew members, Train crew members, Motivate crew members, Perform heavy lifting, Perform light lifting, Clear junk from locations, Manage daily operations, Monitor operational performance, Improve operational performance, Monitor customer satisfaction, Improve customer satisfaction, Collaborate with marketing, Drive local outreach, Drive customer acquisition, Participate in role-play scenarios, Support training, Support skill development, Support performance improvement, Oversee daily logistics, Oversee route planning, Oversee scheduling, Ensure excellent service delivery, Manage drivers, Manage crew members, Maintain high standards, Achieve business goals", "teamCollaboration" : "Field Sales & Service Team; Drivers and crew members; Marketing team", "domainKnowledge" : "Junk removal services; Home services", "domainList" : [ "junk-removal-services", "home-services" ], "domainSpecificKnowledge" : [ "Junk removal services", "Home services" ], "toolProficiency" : [ "Microsoft Office", "Operational software" ], "communicationSkills" : "Clear communication; Professional communication; Solution communication", "continuousLearning" : "Ongoing training; Skill development; Performance improvement; Professional growth; Ongoing development", "specialRequirements" : "Able to lift at least 75+ lbs repeatedly, Work in our trucks", "outcomesObjectives" : "Achieve business goals", "qualificationsBasic" : "1+ years in Logistics, 1+ years in KPI’s, 1+ years in Sales, 1+ years in Dispatch, 1+ years in Fleet, 1+ years in Management, 21+ years of age, Valid driver's license, Leadership skills, Team-building skills, Ability to work in fast-paced environment, Manage multiple priorities, Work in our trucks, Able to lift at least 75+ lbs repeatedly, Proficient in Microsoft Office, Proficient in operational software, Customer service experience", "qualificationsPreferred" : "Experience in delivery, Experience in warehouse, Experience in retail, Experience in hospitality, Experience in sales, Experience in customer service, Experience in general labor", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build a high-energy career where every day is different? Join our Field Sales & Service Team and help us deliver exceptional customer moments and powerful service experiences. We're Southwind— the highest-performing 1-800-GOT-JUNK? franchise group — built on integrity, accountability, and investing in people. About Us: At 1-800-GOT-JUNK?, we're a fast-paced and fun operation that helps people in our community get rid of unwanted items responsibly. We do it like no one else with our professional, on-time service and friendly uniformed team. We're hiring ambitious, outgoing and active individuals who are committed to providing exceptional customer experiences. Position: Customer Experience Leader (Operations In-Training) As a Customer Experience Leader training in Operations, you will be trained at all levels to be fast tracked from Customer Experience Leader to Certified Sales Leader to Senior Sales Leader to Operations. Where you will oversee daily logistics, route planning, and scheduling to ensure excellent service delivery, and manage our team of drivers and crew members. Your leadership will be critical in maintaining our high standards and achieving business goals. What We’re Looking For: Sales-Minded: Confident closing on-site sales and maximizing job value People-Focused: Personable, positive, and service-oriented Reliable & Coachable: Shows up, contributes, and adapts Strong Communicator: Clear, professional, and solution-driven Experience in delivery, warehouse, retail, hospitality, sales, customer service or general labor is a plus. What You'll Do: Deliver Exceptional Service: WOW our customers with your positive attitude and outstanding service. Drive and Load Trucks Safely: Lead, train, and motivate a team of drivers and crew members on client sites to ensure efficient and safe truck operations. Handle Junk Removal: Perform both heavy and light lifting to clear junk from residential and commercial locations. Manage Efficiency: Manage daily operations, monitor and improve operational performance and customer satisfaction metrics. Represent Our Brand: Collaborate with marketing to drive local outreach and customer acquisition. Development: Participate in daily recorded role-play scenarios to support ongoing training, skill development, and performance improvement. Why Us? Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Competitive payment structure averaging $25-$30/hr ($15.50 Hourly Pay + Tips + Profit Share + Performance-Based Bonuses) Full Time Hours consisting of 4 weekday Shifts + 1 weekend shift Opportunities for professional growth and development. Enjoy dynamic, engaging workdays with varied responsibilities. Award-winning workplace (\"Best Places to Work\" and \"Fast 50 Company\"). Full benefits package with Medical/Vision/Dental coverage and retirement options. Requirements 1+ years in Logistics, KPI’s, Sales, Dispatch, Fleet, and/or Management 21+ years of age and a valid driver's license (required for insurance purposes) Strong leadership and team-building skills. Ability to work in a fast-paced environment, manage multiple priorities, and work in our trucks as needed. Able to lift at least 75+ lbs repeatedly! Proficient in Microsoft Office and operational software. Strong customer service experience. This job description outlines the key responsibilities, qualifications, and skills required for the position at 1-800-GOT-JUNK?. The specific responsibilities and qualifications may vary based on the company's needs and industry requirements. Southwind and its group of companies are proud to be an Equal Opportunity, Affirmative Action, Veteran-friendly employer Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Join us and help redefine home services. Apply Now!", "summaryDescription" : "Operations In-Training at 1-800-GOT-JUNK?. Skills: Sales, Operations, Customer experience, Team leadership. Deliver exceptional service. WOW our customers", "postedDate" : "2026-06-16T01:19:34.420", "createdAt" : "2026-06-16T01:19:34.420", "lastUpdated" : "2026-06-16T12:12:56.025", "ingestTimestamp" : "2026-06-16T01:19:34.420", "mongoId" : "6a307061f292fd229cff4070", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 31200, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Junk removal", "Heavy lifting", "Light lifting", "Truck driving", "Truck loading", "Leadership", "Coachability", "Solution-driven", "Sales", "Operations", "Customer experience", "Team leadership", "Route planning", "Scheduling", "Logistics management", "Operational performance", "Customer satisfaction", "Sales closing", "Job value maximization", "Team motivation", "Junk removal services", "Home services", "Microsoft Office", "Operational software" ], "skillCount" : 24, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.92 }, { "id" : "6a307061f292fd229cff406f", "title" : "Operations In-Training", "company" : "1-800-GOT-JUNK?", "industry" : "Logistics", "salary" : { "min" : 12.0, "max" : 26.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Salt Lake City, Utah, United States", "locations" : [ "Salt Lake City", "Utah", "United States" ], "timestamp" : "2026-06-16T12:36:38.150", "fingerprint" : "1dcf8e960e292827afb57e046e1e346ae19bcf28adf1f6a897ff58ec07c18573", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1800gotjunk/jobs/4286022009", "externalId" : "4286022009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Salt Lake City", "state" : "Utah", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7596198,-111.8867970" } ], "locationText" : "Salt Lake City, Utah, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Microsoft Office", "professionalSkills" : [ "Route planning", "Scheduling", "Logistics management", "Operational performance", "Customer satisfaction", "Sales closing", "Job value maximization" ], "hardSkillsList" : [ "Heavy lifting", "Light lifting" ], "softSkillsList" : [ "Leadership", "Coachability" ], "hardSkills" : [ { "name" : "Heavy lifting", "level" : "intermediate" }, { "name" : "Light lifting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Coachability" } ], "majorSkills" : "Sales, Customer experience, Operations management", "majorSkillsList" : [ "Sales", "Customer experience", "Operations management" ], "coreResponsibilities" : "Deliver exceptional service, Drive trucks safely, Load trucks safely, Train drivers, Train crew members, Motivate drivers, Motivate crew members, Perform heavy lifting, Perform light lifting, Clear junk from locations, Manage daily operations, Monitor operational performance, Improve operational performance, Monitor customer satisfaction, Improve customer satisfaction, Represent brand, Collaborate with marketing, Drive local outreach, Drive customer acquisition, Participate in role-play scenarios", "teamCollaboration" : "Team of drivers; Team of crew members; Marketing team", "domainKnowledge" : "Junk removal", "domainList" : [ "junk-removal" ], "domainSpecificKnowledge" : [ "Junk removal" ], "toolProficiency" : [ "Microsoft Office", "Operational software" ], "communicationSkills" : "Solution-driven communication", "continuousLearning" : "Ongoing training; Skill development", "specialRequirements" : "Able to lift at least 75+ lbs repeatedly", "outcomesObjectives" : "Achieve business goals; Ensure excellent service delivery", "qualificationsBasic" : "1+ years in Logistics, 1+ years in KPI’s, 1+ years in Sales, 1+ years in Dispatch, 1+ years in Fleet, 1+ years in Management, 21+ years of age, Valid driver's license, Leadership skills, Team-building skills, Ability to work in fast-paced environment, Manage multiple priorities, Work in our trucks, Able to lift at least 75+ lbs repeatedly, Proficient in Microsoft Office, Proficient in operational software, Customer service experience", "qualificationsPreferred" : "Experience in delivery, Experience in warehouse, Experience in retail, Experience in hospitality, Experience in sales, Experience in customer service, Experience in general labor", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build a high-energy career where every day is different? Join our Field Sales & Service Team and help us deliver exceptional customer moments and powerful service experiences. We're Southwind— the highest-performing 1-800-GOT-JUNK? franchise group — built on integrity, accountability, and investing in people. About Us: At 1-800-GOT-JUNK?, we're a fast-paced and fun operation that helps people in our community get rid of unwanted items responsibly. We do it like no one else with our professional, on-time service and friendly uniformed team. We're hiring ambitious, outgoing and active individuals who are committed to providing exceptional customer experiences. Position: Customer Experience Leader (Operations In-Training) As a Customer Experience Leader training in Operations, you will be trained at all levels to be fast tracked from Customer Experience Leader to Certified Sales Leader to Senior Sales Leader to Operations. Where you will oversee daily logistics, route planning, and scheduling to ensure excellent service delivery, and manage our team of drivers and crew members. Your leadership will be critical in maintaining our high standards and achieving business goals. What We’re Looking For: Sales-Minded: Confident closing on-site sales and maximizing job value People-Focused: Personable, positive, and service-oriented Reliable & Coachable: Shows up, contributes, and adapts Strong Communicator: Clear, professional, and solution-driven Experience in delivery, warehouse, retail, hospitality, sales, customer service or general labor is a plus. What You'll Do: Deliver Exceptional Service: WOW our customers with your positive attitude and outstanding service. Drive and Load Trucks Safely: Lead, train, and motivate a team of drivers and crew members on client sites to ensure efficient and safe truck operations. Handle Junk Removal: Perform both heavy and light lifting to clear junk from residential and commercial locations. Manage Efficiency: Manage daily operations, monitor and improve operational performance and customer satisfaction metrics. Represent Our Brand: Collaborate with marketing to drive local outreach and customer acquisition. Development: Participate in daily recorded role-play scenarios to support ongoing training, skill development, and performance improvement. Why Us? Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Competitive payment structure averaging $26/hr ($12/hr + Profit Share + Performance-Based Bonuses) Full Time Hours consisting of 4 weekday Shifts + 1 weekend shift Opportunities for professional growth and development. Enjoy dynamic, engaging workdays with varied responsibilities. Award-winning workplace (\"Best Placesto Work\" and \"Fast 50 Company\"). Full benefits package with Medical/Vision/Dental coverage and retirement options. Requirements 1+ years in Logistics, KPI’s, Sales, Dispatch, Fleet, and/or Management 21+ years of age and a valid driver's license (required for insurance purposes) Strong leadership and team-building skills. Ability to work in a fast-paced environment, manage multiple priorities, and work in our trucks as needed. Able to lift at least 75+ lbs repeatedly! Proficient in Microsoft Office and operational software. Strong customer service experience. This job description outlines the key responsibilities, qualifications, and skills required for the position at 1-800-GOT-JUNK?. The specific responsibilities and qualifications may vary based on the company's needs and industry requirements. Southwind and its group of companies are proud to be an Equal Opportunity, Affirmative Action, Veteran-friendly employer Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Join us and help redefine home services. Apply Now!", "summaryDescription" : "Operations In-Training at 1-800-GOT-JUNK?. Skills: Sales, Customer experience, Operations management. Deliver exceptional service. Drive trucks safely", "postedDate" : "2026-06-16T01:18:42.104", "createdAt" : "2026-06-16T01:18:42.104", "lastUpdated" : "2026-06-16T12:36:38.150", "ingestTimestamp" : "2026-06-16T01:18:42.104", "mongoId" : "6a307061f292fd229cff406f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 24960, "salaryAnnualMax" : 54080, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Heavy lifting", "Light lifting", "Leadership", "Coachability", "Sales", "Customer experience", "Operations management", "Route planning", "Scheduling", "Logistics management", "Operational performance", "Customer satisfaction", "Sales closing", "Job value maximization", "Junk removal", "Microsoft Office", "Operational software" ], "skillCount" : 17, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a0edc3158b93c861ef1b805", "title" : "LLM Training - Scientific Programming in Math - PhD or PhD candidates", "company" : "Gramian Consulting Group", "industry" : "Computer Software", "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-05-21T13:28:03.501", "fingerprint" : "33e73875de4d8f9d17403cc2c15df91feb2265eb93576c21fb6bcce86b9d7b7f", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/996950DEC6/apply", "externalId" : "996950DEC6", "industryFunction" : { }, "locationPoint" : "-14.235,-51.9253", "structuredLocations" : [ { "city" : "Erlangen", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Erlangen, Germany", "employmentType" : "CONTRACT", "minimumEducation" : "PhD", "technicalSkills" : "Python", "professionalSkills" : [ "Quantitative Problem Design and Solutioning", "Quality Assurance & Collaboration" ], "hardSkillsList" : [ "computational proficiency", "scientific coding", "programming" ], "softSkillsList" : [ "collaboration", "proactive approach to incorporating feedback" ], "hardSkills" : [ { "name" : "computational proficiency", "level" : "intermediate" }, { "name" : "scientific coding", "level" : "intermediate" }, { "name" : "programming", "level" : "intermediate" } ], "softSkills" : [ { "name" : "collaboration" }, { "name" : "proactive approach to incorporating feedback" } ], "majorSkills" : "LLM Training, Scientific Programming, Python", "majorSkillsList" : [ "LLM Training", "Scientific Programming", "Python" ], "coreResponsibilities" : "Develop and conceptualize original, research-grade or graduate-level scientific problems with scientific coding/ programming, using Python., Rigorously define problem categories, secondary tags, and assign appropriate difficulty levels., Rigorously solve formulated problems using sound principles, ensuring absolute accuracy, reliability, and logical coherence of the solution path.", "teamCollaboration" : "Collaborate effectively with reviewers and team leads; demonstrating a proactive approach to incorporating feedback, refining content, and enhancing overall quality promptly.", "domainKnowledge" : "Computational Mathematics; scientific domain", "domainList" : [ "computational-mathematics", "scientific-domain" ], "domainSpecificKnowledge" : [ "Computational Mathematics", "scientific domain" ], "communicationSkills" : "written and verbal communication skills for clear documentation and collaboration", "documentationSkills" : "clear documentation", "innovationCreativity" : "crafting challenging and insightful problems; devising elegant computational solutions", "problemSolvingSkills" : "analytical; logical thinking; problem-solving skills", "specialRequirements" : "8 hours per day with an overlap of 4 hours with PST.", "outcomesObjectives" : "contributing to this role by either crafting challenging and insightful problems in your respective research domain, devising elegant computational solutions.; ensuring absolute accuracy, reliability, and logical coherence of the solution path.; enhancing overall quality promptly.", "qualificationsBasic" : "PhD or PhD Candidates in Computational Mathematics, Has published at least 1 peer-reviewed paper, Advanced proficiency in Python programming for scientific coding, Excellent analytical, logical thinking, and problem-solving skills, written and verbal communication skills for clear documentation and collaboration", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Gramian Consultancy is a boutique consultancy specializing in IT professional services and engineering talent solutions. With a strong background in software engineering and leadership, we help companies build high-performing teams by matching them with professionals who truly fit their needs. **Role Overview** We are seeking a highly analytical and computationally proficient individual to join our team with a strong research background. You will be instrumental in contributing to this role by either crafting challenging and insightful problems in your respective research domain, devising elegant computational solutions. **Responsibilities:** Quantitative Problem Design and Solutioning: * Develop and conceptualize original, research-grade or graduate-level scientific problems with scientific coding/ programming, using Python. * Rigorously define problem categories, secondary tags, and assign appropriate difficulty levels. * Rigorously solve formulated problems using sound principles, ensuring absolute accuracy, reliability, and logical coherence of the solution path. Quality Assurance & Collaboration: * Actively participate in two-tier reviews, meticulously evaluating both accuracy of problems and solutions. * Collaborate effectively with reviewers and team leads, demonstrating a proactive approach to incorporating feedback, refining content, and enhancing overall quality promptly. **Commitments Required: 8 hours per day with an overlap of 4 hours with PST.** **Employment type: Contractor assignment (no medical/paid leave)** Duration of contract: 12 weeks Location: India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico **Selection process: Profile Review and Job Questionnarie** **Requirements** * PhD or PhD Candidates in Computational Mathematics * Has published at least 1 peer-reviewed paper * Advanced proficiency in Python programming for scientific coding * Excellent analytical, logical thinking, and problem-solving skills * Strong written and verbal communication skills for clear documentation and collaboration", "summaryDescription" : "LLM Training - Scientific Programming in Math - PhD or PhD candidates at Gramian Consulting Group. Skills: LLM Training, Scientific Programming, Python. Develop and conceptualize original, research-grade or graduate-level scientific problems with scientific coding/ programming, using Python.. Rigorously define problem categories, secondary tags, and assign appropriate difficulty levels.", "postedDate" : "2026-05-12T00:00:00.000", "createdAt" : "2026-05-21T13:26:29.729", "lastUpdated" : "2026-05-21T13:28:03.501", "ingestTimestamp" : "2026-05-21T13:26:29.729", "mongoId" : "6a0edc3158b93c861ef1b805", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/996950DEC6", "hasSalary" : false, "allSkills" : [ "computational proficiency", "scientific coding", "programming", "collaboration", "proactive approach to incorporating feedback", "LLM Training", "Scientific Programming", "Python", "Quantitative Problem Design and Solutioning", "Quality Assurance & Collaboration", "Computational Mathematics", "scientific domain" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "computer-software", "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "daysOld" : 9, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "IT professional services and engineering talent solutions" }, { "id" : "6a30510ff292fd229cef909e", "title" : "Engineer In Training", "company" : "Simpson Gumpertz & Heger", "salary" : { "min" : 79560.0, "max" : 108160.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-16T08:10:35.949", "fingerprint" : "0852106eb601a517795959f59eaf5bf5153329971147e93526cc7781902e188a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.sgh.com/careers/job-openings/view-job/8543976002?gh_jid=8543976002", "externalId" : "8543976002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "remoteFriendly" : true, "rawDescription" : "Do you want to help engineer what’s next? Simpson Gumpertz & Heger (SGH) is a national engineering firm committed to delivering holistic advice for our clients’ most complex challenges. We leverage our collective and diverse experience, technical expertise, and industry knowledge of structures and building enclosures, advanced analysis, performance & code consulting, and applied science & research to deliver unrivaled, comprehensive solutions that drive superior performance. With 800 employees in offices nationwide, SGH’s industry-leading teams constantly seek to advance the meaning of what’s possible. What makes careers at SGH so special? The only way to advance is to question and explore. Every member of the SGH team is both a learner and an educator, committed to advancing ourselves, our teams, and our industry. Together we are creating a community that never settles for what is but always seeks what could be. There are many reasons to love SGH: Our Work: Our clients trust us to bring clarity and deliver outstanding solutions for their most complex projects. Our People: We are bold thinkers and compassionate teammates, committed to lifelong learning and professional growth. Our Commitment: We live with integrity and embrace an obligation to give back to our professions and communities. Our Contribution: We offer a comprehensive and rich compensation and benefits package with company-paid and voluntary programs to help build healthy lifestyles, strong relationships, and future prosperity. We want someone passionate about engineering and problem-solving. Our Building Technology division is always looking for great talent, and especially people who enjoy solving difficult problems. We are currently looking to speak with recent and upcoming graduates with a Bachelor of Science in Civil, Structural, or Architectural Engineering to join our NYC office in 2026. What You’ll Do: Building Technology is applying engineering principles, physics, and materials science to the exterior envelope of buildings to make them durable, energy-efficient, and able to resist water infiltration reliably. As an Associate Project Consultant, under the direction of a licensed engineer, you will assist with new design, evaluation, investigation, and design of repairs for existing buildings. Essential duties include climbing ladders and scaffolds, the ability to work at great heights, and the ability to travel by car to multiple job sites. A strong technical education, professional demeanor, and desire to learn are essential to this position. What You’ll Need: Bachelor of Science in Civil, Structural, or Architectural Engineering. 0 to 5 years of experience, EIT preferred. Demonstrated interest in building construction and solving engineering problems. Commitment to lifelong learning and enthusiasm for the work. Experience in any of the following areas is a plus: building construction or an allied field, industrial rope access (rock climbing), mechanical repair, AutoCAD, Revit. Enthusiasm and passion while consistently maintaining high levels of activity and productivity. Communication - conveys information to internal and external clients clearly with excellent writing and oral skills. Problem-solving – capability to solve minor or complex problems using data, logic, judgment, and problem-solving tools. Accountability and responsibility - self-starter with willingness to interact as a team player and take independent initiative to ensure tasks are completed. Teamwork - work with others toward a shared goal, participating actively, sharing responsibility and rewards, and contributing to the capability of the team. Teachable – passionate and willingness for continued learning new ideas and concepts. Must be able to climb ladders and scaffolds, and work at great heights. A valid U. S. driver’s license and an acceptable Motor Vehicle Report are required for this role. Benefits Overview: SGH provides the following benefits to eligible employees: Paid Time Off (Vacation time, Sick leave, Holidays) Paid Parental Leave Profit Sharing and 401(k) plan with a discretionary company contribution Health Insurance (Medical, Dental & Vision) Short and Long-Term Disability (company paid) Employee Basic Life and AD&D insurance (company paid) Optional Life Insurance Healthcare and Dependent Care Flexible Spending Accounts Fertility, Family Forming, and Hormonal Health benefit Employee Assistance Program Empathy Bereavement Support Pre-tax Commuter Benefit AFLAC Accident & Cancer Insurance Legal & Identity Theft plans Tuition Reimbursement Compensation: This compensation range is a good faith estimate pursuant to applicable equal pay and pay transparency laws. The actual salary offered will be based on several factors including the candidate’s experience, highest degree achieved, qualifications, work location and job title level. Associate Project Consultant: Bachelor’s Degree: $79,560 - $81,640 Master’s Degree: $83,200 - $85,280 Project Consultant: Bachelor’s Degree: $82,680 - $101,920 Master’s Degree: $83,720 - $108,160 Doctorate Degree: $90,480 - $108,160 Base salary is a part of SGH’s industry leading Total Compensation package. Our Total Compensation package includes base salary, pay for extra hours worked, an annual discretionary bonus program, generous paid time off, and health and wellness benefits with a special emphasis on substantial SGH contributions to medical insurance premiums and SGH’s Profit Sharing & 401(k) Plan. This position is eligible for a $5,000 sign-on bonus. Associate Project Consultant: $79,560—$85,280 USD Project Consultant: $82,680—$108,160 USD SGH is an Equal Opportunity Employer. We are committed to providing equal opportunities to all job applicants and employees. We consider all qualified applicants and encourage individuals with disabilities and protected veterans to apply. If the application system is not accessible to you, or you need a reasonable accommodation to apply due to a disability, please email jobs@sgh.com or call 781-907-9000 and ask for Human Resources. TO ALL RECRUITMENT AGENCIES: SGH does not accept unsolicited agency resumes or candidate profiles. Please do not forward resumes or profiles for any of our job postings to our career site or to any Simpson Gumpertz & Heger employee. SGH is not responsible for any fees related to unsolicited resumes.", "summaryDescription" : "Engineer In Training at Simpson Gumpertz & Heger", "postedDate" : "2026-06-15T23:16:13.738", "createdAt" : "2026-06-15T23:16:13.738", "lastUpdated" : "2026-06-16T08:10:35.949", "ingestTimestamp" : "2026-06-15T23:16:13.738", "mongoId" : "6a30510ff292fd229cef909e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 79560, "salaryAnnualMax" : 108160, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Construction", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3065e2f292fd229cfac259", "title" : "Manager in Training", "company" : "Circle K", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Manager in Training role in Albany, NY, adjusted for seniority, company size, and the retail industry." }, "location" : "Store 2745106 Albany GA", "locations" : [ "Store 2745106 Albany GA", "United States of America" ], "timestamp" : "2026-06-16T13:11:14.972", "fingerprint" : "d12387a3492c265eafbef52a8164245d77c8c0b9115d69105709a8d6aaddb68a", "source" : "workday", "language" : "en", "applyUrl" : "https://circlek.wd3.myworkdayjobs.com/CircleKStoreJobs/job/Store-2745106-Albany-GA/Manager-in-Training_R597729", "externalId" : "R597729", "industryFunction" : { }, "locationPoint" : "39.22757,-82.20237", "structuredLocations" : [ { "city" : "Albany", "state" : "Georgia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "31.5782062,-84.1556809" } ], "locationText" : "Albany, Georgia, United States", "minimumEducation" : "High School", "experienceLevel" : "Manager", "coreResponsibilities" : "Manage store operations, Drive sales performance, Develop team members, Ensure customer satisfaction, Control inventory, Maintain store appearance, Adhere to company policies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "South Atlantic BU - Region 02 - Market 04: 624 Holly Dr, Albany, Georgia 31705 # _**Shift Availability**_ Flexible Availability ** _Job Type_** # ** _Minimum Qualifications_** The minimum qualifications for a Store Manager are: * High School diploma or GED preferred. * Experience in retail sales preferred. * Experience to perform the essential duties, responsibilities and working in the conditions described below. * Ability to supervise and train for the use of equipment, tools and materials listed in the Customer Service Representative (CSR) and Assistant Site Manager (ASM) job description. * Ability to supervise and manage the functions listed in the CSR and ASM job description. * Ability to use computer, or acquire those skills necessary to use a computer at the site, which includes analysis of reports, inventory control, cash control, counseling notices, etc. * A valid driver’s license and adequate transportation to/from bank and corporate management meetings. * Ability to communicate (orally and in writing) in English. * Perform other duties as assigned or delegated by his/her supervisor. # **_ESSENTIAL DUTIES, RESPONSIBILITIES AND SKILLS_** # ** _Leadership and Management_** * Recruit, hire and train positive, enthusiastic employees, ensuring excellent customer service. * Develop, manage and assign tasks appropriately to ensure the site is clean, adequately stocked, organize and well kept based on Company standards. * Maintain a professional and supportive image among subordinates and supervisor. * Schedule employees within Company guidelines to maximize customer service and maintain site image. * Implement non-discriminatory related management skills while hiring, training, counseling, motivating and separating employees. # **_Site Relationships_** * Develop positive and professional relationships with all suppliers. * Promote excellent service and resolve customer complaints in a timely, professional manner. * Promote and ensure a safe, positive public image within the neighboring community. # **_Training and Development_** * Prepare on-going and timely performance appraisals in writing for all employees, providing proper performance based feedback. * Train all employees ensuring that customer service, site image and marketing execution meet Company standards. * Train all employees on safety procedures and promote safety awareness. # **_Communication_** * Develop ways and means to ensure that all employees receive proper communication in a timely manner. * Establish periodic on-going communication meetings with all site employees and the Market Manager. # **_Organizing and Planning_** * Evaluate and develop specific action plans to address the needs of the site in order to reach the desired objectives. * Organize and maintain all site files and manuals. * Manage and supervise store employees to ensure that all required and requested reports due are completed accurately and timely. * Manage and supervise store employees to ensure that all merchandise is stocked, attractively displayed and priced correctly. * Ensure that all required employment related posters and signs are in a place that is easily accessible to all employees. # **_Financial_** * Analyze daily sales and expense information and take appropriate action to maximize sales and net profits. * Budget and forecast P&L lines, as well as understand and manage merchandise margins. * Safeguard and account for all money received and disbursed. * Perform all other financial analysis necessary to maximize sales and net profits. # **_Working Conditions_** * Performs approximately all work indoors but will be required to work outside in order to clean parking lots, gas pumps, take out garbage, etc. * Be exposed to occasional cold temperature extremes while supervising or managing store employees performing occasional work in a walk-in cooler and/or freezer. * Be exposed to occasional noise. * Work with a minimum of direction and supervision. * At all times work as an effective manager, supervisor and leader. **THE ABOVE STATEMENTS REFLECT THE GENERAL QUALIFICATIONS/DUTIES AND/OR RESPONSIBILITIES NECESSARY TO IDENTIFY THE JOB AND ARE NOT NECESSARILY INTENDED TO SET FORTH ALL OF THE SPECIFIC REQUIREMENTS OF THE JOB.** ****NOTE: This job description may change periodically as required by business necessity, with or without advance notice to or consent by the employee.**** ## Circle K is an Equal Opportunity Employer. The Company complies with the Americans with Disabilities Act (the ADA) and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Company’s Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process. Click below to review information about our company's use of the federal E-Verify program to check work eligibility: [In English](https://www.circlek.com/sites/default/files/pdf/EverifyPosterEnglish.pdf) [In Spanish](https://www.circlek.com/sites/default/files/pdf/EverifyPosterSpanish.pdf)", "summaryDescription" : "Manager in Training at Circle K. Manage store operations. 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD - (Turkey). 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Generous ‘above market’ compensation with unlimited/uncapped earnings. Full benefits package W2: health, dental, vision, life, 401k (with match), paid parental leave, and more. Collegial work environment. Newly designed and modern offices. Full administrative support. Strong work/life balance. Full-time Sign-on Bonus. Unlimited membership for continuing Education Above market compensation-Range from $122,000 to $164,000, compensation model based on productivity. Cash based incentive plan. ## Psychologists are a critical part of our clinical team. We’re seeking Psychologists that are Fully licensed and credentialed in one or more US states, including a Ph.D. or Psy.D. Hybrid System 2 days in office.", "summaryDescription" : "Clinical Psychologist (PhD, PsyD). Skills: Patient care, Clinical excellence. 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD - (Uruguay). 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD - (India). 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD - (Colombia). 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD - (Denmark). 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD - (Indonesia). Skills: Mathematics, AI Training, Problem Design. Design advanced mathematical problems. 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD - (Chile). 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD - (Ecuador). 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD - (Thailand). 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Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD - (Peru). 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Region 07 - Market 02: 5101 San Mateo NE, Albuquerque, New Mexico 87109 # _**Shift Availability**_ Flexible Availability ** _Job Type_** Full time # ** _Minimum Qualifications_** The minimum qualifications for a Store Manager are: * High School diploma or GED preferred. * Experience in retail sales preferred. * Experience to perform the essential duties, responsibilities and working in the conditions described below. * Ability to supervise and train for the use of equipment, tools and materials listed in the Customer Service Representative (CSR) and Assistant Site Manager (ASM) job description. * Ability to supervise and manage the functions listed in the CSR and ASM job description. * Ability to use computer, or acquire those skills necessary to use a computer at the site, which includes analysis of reports, inventory control, cash control, counseling notices, etc. * A valid driver’s license and adequate transportation to/from bank and corporate management meetings. * Ability to communicate (orally and in writing) in English. * Perform other duties as assigned or delegated by his/her supervisor. # **_ESSENTIAL DUTIES, RESPONSIBILITIES AND SKILLS_** # ** _Leadership and Management_** * Recruit, hire and train positive, enthusiastic employees, ensuring excellent customer service. * Develop, manage and assign tasks appropriately to ensure the site is clean, adequately stocked, organize and well kept based on Company standards. * Maintain a professional and supportive image among subordinates and supervisor. * Schedule employees within Company guidelines to maximize customer service and maintain site image. * Implement non-discriminatory related management skills while hiring, training, counseling, motivating and separating employees. # **_Site Relationships_** * Develop positive and professional relationships with all suppliers. * Promote excellent service and resolve customer complaints in a timely, professional manner. * Promote and ensure a safe, positive public image within the neighboring community. # **_Training and Development_** * Prepare on-going and timely performance appraisals in writing for all employees, providing proper performance based feedback. * Train all employees ensuring that customer service, site image and marketing execution meet Company standards. * Train all employees on safety procedures and promote safety awareness. # **_Communication_** * Develop ways and means to ensure that all employees receive proper communication in a timely manner. * Establish periodic on-going communication meetings with all site employees and the Market Manager. # **_Organizing and Planning_** * Evaluate and develop specific action plans to address the needs of the site in order to reach the desired objectives. * Organize and maintain all site files and manuals. * Manage and supervise store employees to ensure that all required and requested reports due are completed accurately and timely. * Manage and supervise store employees to ensure that all merchandise is stocked, attractively displayed and priced correctly. * Ensure that all required employment related posters and signs are in a place that is easily accessible to all employees. # **_Financial_** * Analyze daily sales and expense information and take appropriate action to maximize sales and net profits. * Budget and forecast P&L lines, as well as understand and manage merchandise margins. * Safeguard and account for all money received and disbursed. * Perform all other financial analysis necessary to maximize sales and net profits. # **_Working Conditions_** * Performs approximately all work indoors but will be required to work outside in order to clean parking lots, gas pumps, take out garbage, etc. * Be exposed to occasional cold temperature extremes while supervising or managing store employees performing occasional work in a walk-in cooler and/or freezer. * Be exposed to occasional noise. * Work with a minimum of direction and supervision. * At all times work as an effective manager, supervisor and leader. **THE ABOVE STATEMENTS REFLECT THE GENERAL QUALIFICATIONS/DUTIES AND/OR RESPONSIBILITIES NECESSARY TO IDENTIFY THE JOB AND ARE NOT NECESSARILY INTENDED TO SET FORTH ALL OF THE SPECIFIC REQUIREMENTS OF THE JOB.** ****NOTE: This job description may change periodically as required by business necessity, with or without advance notice to or consent by the employee.**** ## Circle K is an Equal Opportunity Employer. The Company complies with the Americans with Disabilities Act (the ADA) and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Company’s Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process. Click below to review information about our company's use of the federal E-Verify program to check work eligibility: [In English](https://www.circlek.com/sites/default/files/pdf/EverifyPosterEnglish.pdf) [In Spanish](https://www.circlek.com/sites/default/files/pdf/EverifyPosterSpanish.pdf)", "summaryDescription" : "External Manager in Training at Circle K. Manage store operations. 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Region 04 - Market 02: 3112 Ferry St, Lafayette, Indiana 47904 # _**Shift Availability**_ Flexible Availability ** _Job Type_** Full time # ** _Minimum Qualifications_** The minimum qualifications for a Store Manager are: * High School diploma or GED preferred. * Experience in retail sales preferred. * Experience to perform the essential duties, responsibilities and working in the conditions described below. * Ability to supervise and train for the use of equipment, tools and materials listed in the Customer Service Representative (CSR) and Assistant Site Manager (ASM) job description. * Ability to supervise and manage the functions listed in the CSR and ASM job description. * Ability to use computer, or acquire those skills necessary to use a computer at the site, which includes analysis of reports, inventory control, cash control, counseling notices, etc. * A valid driver’s license and adequate transportation to/from bank and corporate management meetings. * Ability to communicate (orally and in writing) in English. * Perform other duties as assigned or delegated by his/her supervisor. # **_ESSENTIAL DUTIES, RESPONSIBILITIES AND SKILLS_** # ** _Leadership and Management_** * Recruit, hire and train positive, enthusiastic employees, ensuring excellent customer service. * Develop, manage and assign tasks appropriately to ensure the site is clean, adequately stocked, organize and well kept based on Company standards. * Maintain a professional and supportive image among subordinates and supervisor. * Schedule employees within Company guidelines to maximize customer service and maintain site image. * Implement non-discriminatory related management skills while hiring, training, counseling, motivating and separating employees. # **_Site Relationships_** * Develop positive and professional relationships with all suppliers. * Promote excellent service and resolve customer complaints in a timely, professional manner. * Promote and ensure a safe, positive public image within the neighboring community. # **_Training and Development_** * Prepare on-going and timely performance appraisals in writing for all employees, providing proper performance based feedback. * Train all employees ensuring that customer service, site image and marketing execution meet Company standards. * Train all employees on safety procedures and promote safety awareness. # **_Communication_** * Develop ways and means to ensure that all employees receive proper communication in a timely manner. * Establish periodic on-going communication meetings with all site employees and the Market Manager. # **_Organizing and Planning_** * Evaluate and develop specific action plans to address the needs of the site in order to reach the desired objectives. * Organize and maintain all site files and manuals. * Manage and supervise store employees to ensure that all required and requested reports due are completed accurately and timely. * Manage and supervise store employees to ensure that all merchandise is stocked, attractively displayed and priced correctly. * Ensure that all required employment related posters and signs are in a place that is easily accessible to all employees. # **_Financial_** * Analyze daily sales and expense information and take appropriate action to maximize sales and net profits. * Budget and forecast P&L lines, as well as understand and manage merchandise margins. * Safeguard and account for all money received and disbursed. * Perform all other financial analysis necessary to maximize sales and net profits. # **_Working Conditions_** * Performs approximately all work indoors but will be required to work outside in order to clean parking lots, gas pumps, take out garbage, etc. * Be exposed to occasional cold temperature extremes while supervising or managing store employees performing occasional work in a walk-in cooler and/or freezer. * Be exposed to occasional noise. * Work with a minimum of direction and supervision. * At all times work as an effective manager, supervisor and leader. **THE ABOVE STATEMENTS REFLECT THE GENERAL QUALIFICATIONS/DUTIES AND/OR RESPONSIBILITIES NECESSARY TO IDENTIFY THE JOB AND ARE NOT NECESSARILY INTENDED TO SET FORTH ALL OF THE SPECIFIC REQUIREMENTS OF THE JOB.** ****NOTE: This job description may change periodically as required by business necessity, with or without advance notice to or consent by the employee.**** ## Circle K is an Equal Opportunity Employer. The Company complies with the Americans with Disabilities Act (the ADA) and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Company’s Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process. Click below to review information about our company's use of the federal E-Verify program to check work eligibility: [In English](https://www.circlek.com/sites/default/files/pdf/EverifyPosterEnglish.pdf) [In Spanish](https://www.circlek.com/sites/default/files/pdf/EverifyPosterSpanish.pdf)", "summaryDescription" : "Store Manager in Training at Circle K. Manage store operations. 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Region 04 - Market 06: 7788 E 96th St, Fishers, Indiana 46037 # _**Shift Availability**_ Flexible Availability ** _Job Type_** Full time # ** _Minimum Qualifications_** The minimum qualifications for a Store Manager are: * High School diploma or GED preferred. * Experience in retail sales preferred. * Experience to perform the essential duties, responsibilities and working in the conditions described below. * Ability to supervise and train for the use of equipment, tools and materials listed in the Customer Service Representative (CSR) and Assistant Site Manager (ASM) job description. * Ability to supervise and manage the functions listed in the CSR and ASM job description. * Ability to use computer, or acquire those skills necessary to use a computer at the site, which includes analysis of reports, inventory control, cash control, counseling notices, etc. * A valid driver’s license and adequate transportation to/from bank and corporate management meetings. * Ability to communicate (orally and in writing) in English. * Perform other duties as assigned or delegated by his/her supervisor. # **_ESSENTIAL DUTIES, RESPONSIBILITIES AND SKILLS_** # ** _Leadership and Management_** * Recruit, hire and train positive, enthusiastic employees, ensuring excellent customer service. * Develop, manage and assign tasks appropriately to ensure the site is clean, adequately stocked, organize and well kept based on Company standards. * Maintain a professional and supportive image among subordinates and supervisor. * Schedule employees within Company guidelines to maximize customer service and maintain site image. * Implement non-discriminatory related management skills while hiring, training, counseling, motivating and separating employees. # **_Site Relationships_** * Develop positive and professional relationships with all suppliers. * Promote excellent service and resolve customer complaints in a timely, professional manner. * Promote and ensure a safe, positive public image within the neighboring community. # **_Training and Development_** * Prepare on-going and timely performance appraisals in writing for all employees, providing proper performance based feedback. * Train all employees ensuring that customer service, site image and marketing execution meet Company standards. * Train all employees on safety procedures and promote safety awareness. # **_Communication_** * Develop ways and means to ensure that all employees receive proper communication in a timely manner. * Establish periodic on-going communication meetings with all site employees and the Market Manager. # **_Organizing and Planning_** * Evaluate and develop specific action plans to address the needs of the site in order to reach the desired objectives. * Organize and maintain all site files and manuals. * Manage and supervise store employees to ensure that all required and requested reports due are completed accurately and timely. * Manage and supervise store employees to ensure that all merchandise is stocked, attractively displayed and priced correctly. * Ensure that all required employment related posters and signs are in a place that is easily accessible to all employees. # **_Financial_** * Analyze daily sales and expense information and take appropriate action to maximize sales and net profits. * Budget and forecast P&L lines, as well as understand and manage merchandise margins. * Safeguard and account for all money received and disbursed. * Perform all other financial analysis necessary to maximize sales and net profits. # **_Working Conditions_** * Performs approximately all work indoors but will be required to work outside in order to clean parking lots, gas pumps, take out garbage, etc. * Be exposed to occasional cold temperature extremes while supervising or managing store employees performing occasional work in a walk-in cooler and/or freezer. * Be exposed to occasional noise. * Work with a minimum of direction and supervision. * At all times work as an effective manager, supervisor and leader. **THE ABOVE STATEMENTS REFLECT THE GENERAL QUALIFICATIONS/DUTIES AND/OR RESPONSIBILITIES NECESSARY TO IDENTIFY THE JOB AND ARE NOT NECESSARILY INTENDED TO SET FORTH ALL OF THE SPECIFIC REQUIREMENTS OF THE JOB.** ****NOTE: This job description may change periodically as required by business necessity, with or without advance notice to or consent by the employee.**** ## Circle K is an Equal Opportunity Employer. The Company complies with the Americans with Disabilities Act (the ADA) and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Company’s Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process. Click below to review information about our company's use of the federal E-Verify program to check work eligibility: [In English](https://www.circlek.com/sites/default/files/pdf/EverifyPosterEnglish.pdf) [In Spanish](https://www.circlek.com/sites/default/files/pdf/EverifyPosterSpanish.pdf)", "summaryDescription" : "Store Manager in Training at Circle K. Manage store operations. Drive sales performance", "postedDate" : "2026-06-16T03:48:42.903", "createdAt" : "2026-06-16T03:48:42.848", "lastUpdated" : "2026-06-16T15:26:32.386", "ingestTimestamp" : "2026-06-16T03:48:42.848", "mongoId" : "6a3065e1f292fd229cfac14d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://circlek.wd3.myworkdayjobs.com/CircleKStoreJobs/job/Store-4702313-Fishers-IN/Store-Manager-in-Training_R597844", "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306ff6f292fd229cfef0ff", "title" : "Case Manager in Training", "company" : "Morgan & Morgan, P. A.", "industry" : "Legal", "salary" : { "min" : 20.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Phoenix, Arizona, United States", "locations" : [ "Phoenix", "Arizona", "United States" ], "timestamp" : "2026-06-16T12:58:32.722", "fingerprint" : "a3379eced5d5078b6a14b9ae437717118a292880873a7fa8c478be8e34077a49", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/morganmorganjobsapplynow/jobs/6030810004", "externalId" : "6030810004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Phoenix", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.4484367,-112.0741410" } ], "locationText" : "Phoenix, Arizona, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "High School", "professionalSkills" : [ "Case management", "Client relations", "Document management", "Legal support" ], "hardSkillsList" : [ "Microsoft Office Suite", "Legal terminology", "Legal procedures" ], "hardSkills" : [ { "name" : "Microsoft Office Suite", "level" : "intermediate" }, { "name" : "Legal terminology", "level" : "intermediate" }, { "name" : "Legal procedures", "level" : "intermediate" } ], "majorSkills" : "Case management, Legal support", "majorSkillsList" : [ "Case management", "Legal support" ], "coreResponsibilities" : "Assist attorneys with case preparation, Manage case files and documentation, Schedule client appointments and court dates, Communicate with clients, witnesses, and court personnel, Conduct legal research, Draft legal documents, Maintain organized case files, Provide administrative support to the legal team", "teamCollaboration" : "Legal team; Attorneys; Support staff", "domainKnowledge" : "Legal terminology; Legal procedures", "domainList" : [ "legal-terminology", "legal-procedures" ], "domainSpecificKnowledge" : [ "Legal terminology", "Legal procedures" ], "toolProficiency" : [ "Microsoft Office Suite" ], "communicationSkills" : "Written communication; Verbal communication; Client communication", "documentationSkills" : "Case file documentation; Legal document drafting", "qualificationsBasic" : "High School diploma or GED, Proficiency in Microsoft Office Suite, Excellent written and verbal communication skills, Strong organizational and time management skills, Ability to multitask and prioritize tasks, Attention to detail, Ability to work independently and as part of a team, Ability to maintain confidentiality", "qualificationsPreferred" : "Associate's or Bachelor's degree, Previous experience in a legal setting, Familiarity with legal terminology and procedures", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "At Morgan & Morgan, the work we do matters. For millions of Americans, we’re their last line of defense against insurance companies, large corporations or defective goods. From attorneys in all 50 states, to client support staff, creative marketing to operations teams, every member of our firm has a key role to play in the winning fight for consumer rights. Our over 6,000 employees are all united by one mission: For the People. Summary This role will work as a floater in our office, training and supporting several attorneys and case staff on rotation. This position trains for an eventual move to a highly sought Case Manager position. Compensation for this role starts at $20 per hour. Responsibilities Shadow Case Managers Order medical records from providers Prepare comprehensive demands and assemble support for submission to carries Investigate the nature and facts of cases Prepare documents and correspondence necessary to reach a settlement in each case Performs other related duties as assigned to meet the needs of the business. Qualification High school diploma or GED 1-2 years of experience as an Administrative Assistant, Insurance Adjuster, or Support Role preferably in a law firm setting or in a corporate legal department Highly organized with the ability to multitask, prioritize, and demonstrate attention to detail with a great attitude Strong written and verbal communication skills, including good presentation skills Willingness to learn and work with multiple employees within our organization Extensive expertise in computer programs, databases, Microsoft Office Suite, and type no less than 35 wpm Not remote eligible. #LI-EL1 Benefits Morgan & Morgan is a leading personal injury law firm dedicated to protecting the people, not the powerful. This success starts with our staff. For full-time employees, we offer an excellent benefits package including medical and dental insurance, 401(k) plan, paid time off and paid holidays. Equal Opportunity Statement Morgan & Morgan provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. E-Verify This employer participates in E-Verify and will provide the federal government with your Form I-9 information to confirm that you are authorized to work in the U. S. If E-Verify cannot confirm that you are authorized to work, this employer is required to give you written instructions and an opportunity to contact Department of Homeland Security (DHS) or Social Security Administration (SSA) so you can begin to resolve the issue before the employer can take any action against you, including terminating your employment. Employers can only use E-Verify once you have accepted a job offer and completed the I-9 Form. Privacy Policy Here is a link to Morgan & Morgan's privacy policy.", "summaryDescription" : "Case Manager in Training at Morgan & Morgan, P. A.. Skills: Case management, Legal support. Assist attorneys with case preparation. Manage case files and documentation", "postedDate" : "2026-06-16T01:15:34.121", "createdAt" : "2026-06-16T01:15:34.121", "lastUpdated" : "2026-06-16T12:58:32.722", "ingestTimestamp" : "2026-06-16T01:15:34.121", "mongoId" : "6a306ff6f292fd229cfef0ff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 41600, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Microsoft Office Suite", "Legal terminology", "Legal procedures", "Case management", "Legal support", "Client relations", "Document management" ], "skillCount" : 7, "jobCategory" : "operations", "jobSubcategory" : "legal", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Legal", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8df874d8ee00a097a71d", "title" : "Adult Testing Neuropsychologist (PhD/PsyD)", "company" : "LifeStance Health", "industry" : "Clinical", "salary" : { "min" : 133000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Greenville, SC", "locations" : [ "Greenville, SC" ], "certifications" : [ "APA-accredited internship", "Postdoctoral fellowship" ], "timestamp" : "2026-06-16T02:07:01.886", "fingerprint" : "68240b99a1fb3181e063a7e61a0baf15c402f0ece2e8a792713d91edcbfa58fd", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/lifestance/51615c36-ae80-4e0b-a4d5-10c5a8a2ddc8/apply", "externalId" : "51615c36-ae80-4e0b-a4d5-10c5a8a2ddc8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Greenville", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "34.8513540,-82.3984882" } ], "locationText" : "Greenville, South Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Neuropsychological assessment, Differential diagnosis, Treatment planning, Psychotherapy, Psychopharmacology, Electronic health records", "professionalSkills" : [ "Clinical assessment", "Patient management", "Interdisciplinary collaboration", "Program development", "Grant writing", "Public speaking" ], "hardSkillsList" : [ "Neuropsychological testing", "Cognitive rehabilitation", "Psychotherapy techniques", "Psychopharmacology principles" ], "hardSkills" : [ { "name" : "Neuropsychological testing", "level" : "intermediate" }, { "name" : "Cognitive rehabilitation", "level" : "intermediate" }, { "name" : "Psychotherapy techniques", "level" : "intermediate" }, { "name" : "Psychopharmacology principles", "level" : "intermediate" } ], "majorSkills" : "Neuropsychological assessment, Differential diagnosis, Treatment planning", "majorSkillsList" : [ "Neuropsychological assessment", "Differential diagnosis", "Treatment planning" ], "coreResponsibilities" : "Provide comprehensive neuropsychological evaluations, Conduct differential diagnoses, Develop individualized treatment plans, Provide psychotherapy, Prescribe psychopharmacological medications, Document patient care, Collaborate with interdisciplinary teams, Supervise trainees, Develop new programs, Write grants, Present research, Conduct telehealth sessions", "teamCollaboration" : "Interdisciplinary teams; Clinical staff; Referring physicians", "domainKnowledge" : "Neuropsychology; Neurology; Psychiatry; Psychopharmacology; Cognitive rehabilitation; HIPAA", "domainList" : [ "neuropsychology", "neurology", "psychiatry", "psychopharmacology", "cognitive-rehabilitation", "hipaa" ], "domainSpecificKnowledge" : [ "Neuropsychology", "Neurology", "Psychiatry", "Psychopharmacology", "Cognitive rehabilitation", "HIPAA" ], "toolProficiency" : [ "Electronic health records" ], "communicationSkills" : "Patient communication; Interdisciplinary communication; Public speaking", "documentationSkills" : "Clinical documentation; Patient charting", "continuousLearning" : "Continuing education; Professional development", "innovationCreativity" : "Program development", "problemSolvingSkills" : "Differential diagnosis; Treatment planning", "specialRequirements" : "Valid driver's license", "outcomesObjectives" : "Improve patient outcomes; Enhance quality of life", "qualificationsBasic" : "PhD or PsyD required, Completion of APA-accredited internship, Postdoctoral fellowship in neuropsychology, Experience with neuropsychological assessment, Experience with differential diagnosis, Experience with treatment planning, Experience with psychotherapy, Experience with psychopharmacology, Experience with electronic health records, Valid driver's license", "qualificationsPreferred" : "Experience with neuropsychological testing, Experience with cognitive rehabilitation, Experience with neuropsychological research, Experience with supervision, Experience with program development, Experience with grant writing, Experience with public speaking, Experience with interdisciplinary teams, Experience with diverse populations, Experience with telehealth", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "## Description At LifeStance Health, we believe in a truly healthy society where mental and physical healthcare are unified to make lives better. Our mission is to help people lead healthier, more fulfilling lives by improving access to trusted, affordable, and personalized mental healthcare. Everywhere. Every day. It’s a lofty goal; we know. But we make it happen with the best team in behavioral health. Thank you for taking the time to explore a career with us. As the fastest growing behavioral health practice group in the country, now is the perfect time to join our clinical team! We are actively looking to hire talented Neuropsychologists local to the area, who are passionate about patient care and committed to clinical excellence. ## We offer Neuropsychologists Competitive earnings package with uncapped potential Compensation range: $133,000 to $155,000+, compensation model based on productivity W2 employed position with flexible hybrid work schedules Collaborative work environment with unmatched support Compelling signing bonus! Care Access and Quality Incentive: Annual cash bonus program Comprehensive benefit package 401k with up to 4% match CEUs and Clinical Education Benefit Strong work/life balance ## Testing Neuropsychologists are a critical part of our clinical team. We’re seeking Neuropsychologists that are Local to and fully licensed in Clinical Psychology/Neuropsychology (PhD/PsyD) in South Carolina. Experienced with caring for adult and geriatric populations. Experienced with testing intakes, planning batteries for assessments, report writing and feedback sessions. ## Location and Schedule Conveniently located in Greenville on Patewood Drive Start in fewer than 60 days Beautifully designed offices that are thoughtfully laid out Monday-Friday with evenings/weekends optional Flexible hybrid schedule (between office and home) to accommodate work/life balance ## Additional Information Apply now or contact me today! Leah Sweeney Director of Practice Development, South Carolina LifeStance Health, Inc Leah.Sweeney@lifestance.com About LifeStance Health LifeStance is a national provider of mental healthcare services focused on evidenced-based, medically driven treatment services for children, adolescents and adults suffering from a variety of mental health issues in an outpatient care setting, both in-person at its clinics nationwide and through its digital health telemedicine offering. The company employs psychiatrists, psychologists, psychiatric nurse practitioners, and licensed therapists throughout the US. LifeStance Health is an equal opportunity employer. We celebrate diversity and are fully committed to creating an inclusive work environment for all our employees. Our values: Belonging: We cultivate a space where everyone can show up as their authentic self. Empathy: We seek out diverse perspectives and listen to learn without judgment. Courage: We are all accountable for doing the right thing - even when it's hard - because we know it's worth it. One Team: We realize our full potential when we work together towards our shared purpose. If you elect to interact with us via our website, please only use www.lifestance.com or www.careers.lifestance.com. Additionally, our recruiters utilize email addresses with the @lifestance.com domain. Other websites and domains are not affiliated with LifeStance Health and may represent threats to your data security. LifeStance Health complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact our Human Resources Team at ADA@lifestance.com or by calling +1-800-308-0994. Please note: This contact is intended solely for accommodation requests. Inquiries regarding applications, resumes and applicant status should not be sent to this email address as they will not be reviewed or responded to. To apply for a position, please use our official careers page. ", "summaryDescription" : "Adult Testing Neuropsychologist (PhD/PsyD) at LifeStance Health. Skills: Neuropsychological assessment, Differential diagnosis, Treatment planning. Provide comprehensive neuropsychological evaluations. Conduct differential diagnoses", "postedDate" : "2026-06-12T21:20:22.349", "createdAt" : "2026-06-12T21:20:22.349", "lastUpdated" : "2026-06-16T02:07:01.886", "ingestTimestamp" : "2026-06-14T21:05:20.220", "mongoId" : "6a2c8df874d8ee00a097a71d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 133000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Neuropsychological testing", "Cognitive rehabilitation", "Psychotherapy techniques", "Psychopharmacology principles", "Neuropsychological assessment", "Differential diagnosis", "Treatment planning", "Clinical assessment", "Patient management", "Interdisciplinary collaboration", "Program development", "Grant writing", "Public speaking", "Neuropsychology", "Neurology", "Psychiatry", "Psychopharmacology", "HIPAA", "APA-accredited internship", "Postdoctoral fellowship", "Electronic health records" ], "skillCount" : 21, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305b4df292fd229cf5c20c", "title" : "ICML 2026 Candidates", "company" : "Turing", "salary" : { "min" : 1000000.0, "max" : 2000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for entry-level technology roles in India, adjusted for full-time remote work and a global company." }, "location" : "Global - Remote", "locations" : [ "Global - Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T07:29:28.777", "fingerprint" : "d7ba7674fb16c76b629b6ebaff0d8294a7147929b7e82fc38283c046e29594b4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/turing/jobs/6030405004", "externalId" : "6030405004", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data engineering", "ML engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Turing Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises looking to deploy advanced AI systems. Turing accelerates frontier research with high-quality data, specialized talent, and training pipelines that advance thinking, reasoning, coding, multimodality, and STEM. For enterprises, Turing builds proprietary intelligence systems that integrate AI into mission-critical workflows, unlock transformative outcomes, and drive lasting competitive advantage. Recognized by Forbes, The Information, and Fast Company among the world’s top innovators, Turing’s leadership team includes AI technologists from Meta, Google, Microsoft, Apple, Amazon, McKinsey, Bain, Stanford, Caltech, and MIT. Learn more at www.turing.com Values We are client first: We put our clients at the center of everything we do, because their success is the ultimate measure of our value. We work at Start-Up Speed: We move fast, stay agile and favor action because momentum is the foundation of perfection We are AI forward: We help our clients build the future of Al and implement it in our own roles and workflow to amplify productivity. Advantages of joining Turing Amazing work culture (Super collaborative 5 days a week) Awesome colleagues (Surround yourself with top talent from Meta, Google, LinkedIn etc. as well as people with deep startup experience) Competitive compensation Flexible working hours Don’t meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single qualification. Turing is proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender identity, sexual orientation, age, marital status, disability, protected veteran status, or any other legally protected characteristics. At Turing we are dedicated to building a diverse, inclusive and authentic workplace and celebrate authenticity, so if you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles. For applicants from the European Union, please review Turing's GDPR notice here.", "summaryDescription" : "ICML 2026 Candidates at Turing. Skills: Data science, Data engineering, ML/AI, Business intelligence, Analytics engineering, Quantitative analysis", "postedDate" : "2026-06-15T23:25:00.491", "createdAt" : "2026-06-15T23:25:00.491", "lastUpdated" : "2026-06-16T07:29:28.777", "ingestTimestamp" : "2026-06-15T23:25:00.491", "mongoId" : "6a305b4df292fd229cf5c20c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "ML engineering", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", 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Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio", "remoteFriendly" : false, "rawDescription" : "The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads reach which players — across billions of monthly users on the world's leading game engine. Recommendation and ranking systems are the core of this work: predicting user value, optimizing bids, and delivering outcomes for advertisers at massive scale. We are building the next generation of these systems. The frontier has shifted — large language models, reinforcement learning from human feedback, and agentic AI are reshaping what recommendation systems can do. We are looking for PhD graduates who have worked at that frontier and want to bring those ideas into production systems that matter. What you'll be doing Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning to improve ad relevance and user experience. Develop user understanding systems — conversion prediction, behavioral modeling, and value estimation — that operate across billions of impressions. Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery. Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks to measure and improve model quality. Partner with engineering to bring research ideas into production, working across the full pipeline from training data to deployed model. Communicate findings clearly to technical and non-technical stakeholders across engineering, product, and business teams. What we're looking for PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate). Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization. Experience working with large-scale data and ML systems, whether through research or industry internships. Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. A track record of rigorous, high-quality research — publications at top venues (NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW, or similar) are a strong signal. Strong written and verbal communication skills — able to make complex ideas accessible across technical and non-technical audiences. You might also have Industry experience in ads, recommendation, or user understanding systems (internship experience counts). Hands-on experience with production ML pipelines — training at scale, feature engineering, or experimentation infrastructure. Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems. Familiarity with agentic AI approaches — multi-step reasoning, tool use, or human-AI collaboration frameworks. Exposure to causal inference, uplift modeling, or A/B testing at scale. Genuine curiosity about applied research and the drive to see ideas through to impact. Additional information Relocation support is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com. #MID #LI-ED1 *Note: This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Gross pay salary $112,700—$169,100 USD", "summaryDescription" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) at Unity Technologies. 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BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Data science", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Data engineering", "majorSkillsList" : [ "Data science", "Machine learning", "Data engineering" ], "coreResponsibilities" : "Develop and deploy machine learning models, Design and implement data pipelines, Build and maintain data infrastructure, Analyze large datasets, Develop dashboards and reports, Collaborate with cross-functional teams, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Recommendation systems", "domainList" : [ "recommendation-systems" ], "domainSpecificKnowledge" : [ "Recommendation systems" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power 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with Delta Lake, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio", "remoteFriendly" : false, "rawDescription" : "The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads reach which players — across billions of monthly users on the world's leading game engine. Recommendation and ranking systems are the core of this work: predicting user value, optimizing bids, and delivering outcomes for advertisers at massive scale. We are building the next generation of these systems. The frontier has shifted — large language models, reinforcement learning from human feedback, and agentic AI are reshaping what recommendation systems can do. We are looking for PhD graduates who have worked at that frontier and want to bring those ideas into production systems that matter. What you'll be doing Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning to improve ad relevance and user experience. Develop user understanding systems — conversion prediction, behavioral modeling, and value estimation — that operate across billions of impressions. Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery. Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks to measure and improve model quality. Partner with engineering to bring research ideas into production, working across the full pipeline from training data to deployed model. Communicate findings clearly to technical and non-technical stakeholders across engineering, product, and business teams. What we're looking for PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate). Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization. Experience working with large-scale data and ML systems, whether through research or industry internships. Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. A track record of rigorous, high-quality research — publications at top venues (NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW, or similar) are a strong signal. Strong written and verbal communication skills — able to make complex ideas accessible across technical and non-technical audiences. You might also have Industry experience in ads, recommendation, or user understanding systems (internship experience counts). Hands-on experience with production ML pipelines — training at scale, feature engineering, or experimentation infrastructure. Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems. Familiarity with agentic AI approaches — multi-step reasoning, tool use, or human-AI collaboration frameworks. Exposure to causal inference, uplift modeling, or A/B testing at scale. Genuine curiosity about applied research and the drive to see ideas through to impact. Additional information Relocation support is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com. #MID #LI-ED1 *Note: This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Gross pay salary $112,700—$169,100 USD", "summaryDescription" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) at Unity Technologies. Skills: Data science, Machine learning, Data engineering. Develop and deploy machine learning models. Design and implement data pipelines", "postedDate" : "2026-06-16T01:21:03.300", "createdAt" : "2026-06-16T01:21:03.300", "lastUpdated" : "2026-06-16T12:18:23.439", "ingestTimestamp" : "2026-06-16T01:21:03.300", "mongoId" : "6a30876cf292fd229c088d52", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 112700, "salaryAnnualMax" : 169100, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Recommendation systems", "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 54, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30876cf292fd229c088d54", "title" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD)", "company" : "Unity Technologies", "industry" : "Technology", "salary" : { "min" : 112700.0, "max" : 169100.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, NY, USA", "locations" : [ "New York", "NY", "USA" ], "certifications" : [ "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification" ], "timestamp" : "2026-06-16T11:01:28.921", "fingerprint" : "8d11c9891b3bddb75bf0d97edd72d2426d03638ef2bd2548f74347cbab4c5a94", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://unity.com/careers/positions/7999717?gh_jid=7999717", "externalId" : "7999717", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Data science", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Data engineering", "majorSkillsList" : [ "Data science", "Machine learning", "Data engineering" ], "coreResponsibilities" : "Develop and deploy machine learning models, Build and maintain data pipelines, Design and implement data warehousing solutions, Create and manage BI dashboards, Perform statistical analysis, Conduct quantitative research, Collaborate with engineering teams, Optimize data infrastructure", "teamCollaboration" : "Cross-functional teams; Engineering teams", "domainKnowledge" : "Recommendation systems", "domainList" : [ "recommendation-systems" ], "domainSpecificKnowledge" : [ "Recommendation systems" ], "toolProficiency" : [ "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "qualificationsBasic" : "SQL proficiency, Python proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio", "remoteFriendly" : false, "rawDescription" : "The opportunity Unity's Vector AI team builds the machine learning systems that decide which ads reach which players — across billions of monthly users on the world's leading game engine. Recommendation and ranking systems are the core of this work: predicting user value, optimizing bids, and delivering outcomes for advertisers at massive scale. We are building the next generation of these systems. The frontier has shifted — large language models, reinforcement learning from human feedback, and agentic AI are reshaping what recommendation systems can do. We are looking for PhD graduates who have worked at that frontier and want to bring those ideas into production systems that matter. What you'll be doing Design, build, and evaluate next-generation ranking and recommendation models that incorporate LLMs, RLHF, and preference learning to improve ad relevance and user experience. Develop user understanding systems — conversion prediction, behavioral modeling, and value estimation — that operate across billions of impressions. Apply reinforcement learning and optimization techniques to bidding strategy, auction dynamics, and real-time ad delivery. Design and run rigorous experiments using causal inference, A/B testing, and offline evaluation frameworks to measure and improve model quality. Partner with engineering to bring research ideas into production, working across the full pipeline from training data to deployed model. Communicate findings clearly to technical and non-technical stakeholders across engineering, product, and business teams. What we're looking for PhD in Computer Science, Machine Learning, Statistics, or a related field (graduating 2026 or recent graduate). Strong research foundations in one or more of: recommendation systems, reinforcement learning, LLM post-training or alignment, human-AI collaboration, probabilistic modeling, or optimization. Experience working with large-scale data and ML systems, whether through research or industry internships. Fluency in Python; familiarity with ML frameworks such as PyTorch or TensorFlow. A track record of rigorous, high-quality research — publications at top venues (NeurIPS, ICML, ICLR, KDD, RecSys, ACL, WWW, or similar) are a strong signal. Strong written and verbal communication skills — able to make complex ideas accessible across technical and non-technical audiences. You might also have Industry experience in ads, recommendation, or user understanding systems (internship experience counts). Hands-on experience with production ML pipelines — training at scale, feature engineering, or experimentation infrastructure. Experience applying LLMs or generative models to ranking, retrieval, or structured prediction problems. Familiarity with agentic AI approaches — multi-step reasoning, tool use, or human-AI collaboration frameworks. Exposure to causal inference, uplift modeling, or A/B testing at scale. Genuine curiosity about applied research and the drive to see ideas through to impact. Additional information Relocation support is not available for this position Benefits At Unity, we want our team members to thrive. We offer a wide range of benefits designed to support well-being and work-life balance. Please note: Benefits eligibility, specific offerings, and coverage vary based on the country and employment status. While specific benefits vary, here are some of the ways we strive to take care of our eligible team members globally: Comprehensive health, life, and disability insurance | Commute subsidy | Employee stock ownership | Competitive retirement/pension plans | Generous vacation and personal days | Support for new parents through leave and family-care programs | Office food snacks | Mental Health and Wellbeing programs and support | Employee Resource Groups | Global Employee Assistance Program | Training and development programs | Volunteering and donation matching program Life at Unity Unity [NYSE: U] is the world’s leading game engine, powering play for more than 3 billion consumers each month. The top mobile games in the world, the most played PC indie titles, the most innovative console games, and virtually all of the top XR and Web Games are developed, deployed, and grown in Unity. Unity also enables teams across industries like automotive, manufacturing, and healthcare to design, simulate, and collaborate in 3D — closing the gap between ideas and reality. For more information, please visit www.unity.com. Unity is a proud equal opportunity employer. We are committed to fostering an inclusive, innovative environment and celebrate our employees across age, race, color, ancestry, national origin, religion, disability, sex, gender identity or expression, sexual orientation, or any other protected status in accordance with applicable law. Our differences are strengths that enable us to support the growing and evolving needs of our customers, partners, and collaborators. If you have a disability that means there are preparations or accommodations we can make to help ensure you have a comfortable and positive interview experience, please fill out this form to let us know. This position requires the incumbent to have a sufficient knowledge of English to have professional verbal and written exchanges in this language since the performance of the duties related to this position requires frequent and regular communication with colleagues and partners located worldwide and whose common language is English. Headhunters and recruitment agencies may not submit resumes/CVs through this website or directly to managers. Unity does not accept unsolicited headhunter and agency resumes. Unity will not pay fees to any third-party agency or company that does not have a signed agreement with Unity. Your privacy is important to us. Please take a moment to review our Prospect Privacy Policy and Applicant Privacy Policy. Should you have any concerns about your privacy, please contact us at DPO@unity.com. #MID #LI-ED1 *Note: This range reflects the anticipated base salary for this position. Beyond base salary, this role may be eligible for equity awards and participation in our company incentive plans (such as annual discretionary bonuses or sales commissions). The final offer amount will depend on several factors, including geographic location and the candidate’s relevant experience, professional background, and skill set. Gross pay salary $112,700—$169,100 USD", "summaryDescription" : "Machine Learning Engineer, Next-Generation Recommendation Systems (New Grad / PhD) at Unity Technologies. Skills: Data science, Machine learning, Data engineering. Develop and deploy machine learning models. Build and maintain data pipelines", "postedDate" : "2026-06-16T01:21:03.139", "createdAt" : "2026-06-16T01:21:03.139", "lastUpdated" : "2026-06-16T11:01:28.921", "ingestTimestamp" : "2026-06-16T01:21:03.139", "mongoId" : "6a30876cf292fd229c088d54", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 112700, "salaryAnnualMax" : 169100, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Machine learning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Recommendation systems", "GCP Professional Data Engineer certification", "AWS Data Analytics certification", "Databricks Certified certification", "Dbt Certified certification", "SQL", "Python", "R", "Scala", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS", "GCP", "Azure" ], "skillCount" : 54, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cb20d74d8ee00a09df5f5", "title" : "Mathematics AI Training Expert - PhD", "industry" : "IT", "salary" : { "max" : 40.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-16T06:13:14.055", "fingerprint" : "8ae5377afa44ddfb5e84400066e773ca6ed0f63869a6057624eb60dfd9179573", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/e1941c9d-394b-4ebd-905c-7297a623c8f4/apply", "externalId" : "e1941c9d-394b-4ebd-905c-7297a623c8f4", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "CONTRACT", "minimumEducation" : "Master's", "technicalSkills" : "Python, NumPy, SciPy, Pandas", "professionalSkills" : [ "Mathematical reasoning", "Proof-based problem solving", "Computational problem-solving" ], "hardSkillsList" : [ "Mathematical problem design", "Solution development", "Computational verification" ], "hardSkills" : [ { "name" : "Mathematical problem design", "level" : "intermediate" }, { "name" : "Solution development", "level" : "intermediate" }, { "name" : "Computational verification", "level" : "intermediate" } ], "majorSkills" : "Mathematics, AI training, Problem design", "majorSkillsList" : [ "Mathematics", "AI training", "Problem design" ], "coreResponsibilities" : "Design mathematical problems for AI training, Develop deterministic problems, Produce documented solutions, Apply computational tools, Ensure outputs are precise, Contribute to improving AI reasoning datasets, Identify gaps in datasets, Design challenging problem structures, Collaborate in structured workflow, Generate high-quality data", "teamCollaboration" : "Structured workflow", "domainKnowledge" : "AI reasoning; Mathematical datasets", "domainList" : [ "ai-reasoning", "mathematical-datasets" ], "domainSpecificKnowledge" : [ "AI reasoning", "Mathematical datasets" ], "communicationSkills" : "Technical writing", "documentationSkills" : "Solution documentation", "problemSolvingSkills" : "Mathematical problem solving", "outcomesObjectives" : "Improve quality of AI reasoning datasets", "qualificationsBasic" : "Master's or PhD in Mathematics, Proficiency in Python, Solid understanding of algorithms, Demonstrated ability to design complex mathematical problems, Excellent technical writing skills", "qualificationsPreferred" : "Experience with mathematical modeling, Experience with optimization, Experience with symbolic computation, Familiarity with olympiad-level problem design, Familiarity with graduate-level problem design, Familiarity with research-level problem design, Prior experience in AI evaluation, Prior experience in AI benchmarking, Prior experience in dataset creation", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Design advanced and original mathematical problems for AI training and evaluation, ensuring they test deep reasoning rather than surface-level recall. Develop deterministic problems with a single verifiable correct answer, maintaining strict mathematical rigor and clarity. Produce complete, well-documented solutions with step-by-step reasoning and validated correctness. Apply computational tools where relevant, including Python and numerical libraries, to support problem construction and verification. Ensure all outputs are precise, reproducible, and clearly written in English for use in AI training pipelines. Contribute to improving the quality of AI reasoning datasets by identifying gaps and designing more challenging problem structures. Collaborate in a structured workflow focused on high-quality data generation for advanced model evaluation. Requirements: Master’s or PhD in Mathematics or a closely related field such as applied mathematics, computational mathematics, or mathematical physics. Strong background in mathematical reasoning, proof-based problem solving, and/or research-level mathematical work. Proficiency in Python with experience using libraries such as NumPy, SciPy, Pandas, or similar computational tools. Solid understanding of algorithms, numerical methods, and computational problem-solving techniques. Demonstrated ability to design complex, original mathematical problems with clear and unique solutions. Excellent technical writing skills with strong attention to clarity, precision, and correctness in English. Experience with mathematical modeling, optimization, symbolic computation, or related research tools is highly desirable. Familiarity with olympiad-level, graduate-level, or research-level problem design is a strong advantage. Prior experience in AI evaluation, benchmarking, or dataset creation is a plus. Benefits: Competitive hourly compensation up to 40 USD per hour Flexible remote contract arrangement with approximately 20 hours per week commitment Short-term project (2 months) with potential for extension based on performance and demand Opportunity to contribute directly to frontier AI model development and evaluation High-impact research work applied to real-world AI reasoning systems Exposure to advanced AI training pipelines and cutting-edge mathematical datasets Flexible working schedule with fully remote setup ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Mathematics AI Training Expert - PhD. Skills: Mathematics, AI training, Problem design. Design mathematical problems for AI training. Develop deterministic problems", "postedDate" : "2026-06-11T05:47:37.025", "createdAt" : "2026-06-11T05:47:37.025", "lastUpdated" : "2026-06-16T06:13:14.055", "ingestTimestamp" : "2026-06-14T21:38:42.646", "mongoId" : "6a2cb20d74d8ee00a09df5f5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 83200, "hasSalary" : false, "allSkills" : [ "Mathematical problem design", "Solution development", "Computational verification", "Mathematics", "AI training", "Problem design", "Mathematical reasoning", "Proof-based problem solving", "Computational problem-solving", "AI reasoning", "Mathematical datasets" ], "skillCount" : 11, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.6666667, "daysOld" : 5, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3065e2f292fd229cfac339", "title" : "External Manager in Training", "company" : "Circle K", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in the Retail industry in Pensacola, FL, adjusted for seniority and company size." }, "location" : "Store 2704620 Pensacola FL", "locations" : [ "Store 2704620 Pensacola FL", "United States of America" ], "timestamp" : "2026-06-16T12:42:30.010", "fingerprint" : "54f76426f0ef9e757548b56c281df68625da9485d9236703a95a226a0b612916", "source" : "workday", "language" : "en", "applyUrl" : "https://circlek.wd3.myworkdayjobs.com/CircleKStoreJobs/job/Store-2704620-Pensacola-FL/External-Manager-in-Training_R597338-1", "externalId" : "R597338", "industryFunction" : { }, "locationPoint" : "30.42131,-87.21691", "structuredLocations" : [ { "city" : "Pensacola", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.4213090,-87.2169149" } ], "locationText" : "Pensacola, Florida, United States", "minimumEducation" : "High School", "experienceLevel" : "Manager", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Gulf Coast BU - Region 06 - Market 03: 4233 E Creighton Rd, Pensacola, Florida 32504 # _**Shift Availability**_ Flexible Availability ** _Job Type_** # ** _Minimum Qualifications_** The minimum qualifications for a Store Manager are: * High School diploma or GED preferred. * Experience in retail sales preferred. * Experience to perform the essential duties, responsibilities and working in the conditions described below. * Ability to supervise and train for the use of equipment, tools and materials listed in the Customer Service Representative (CSR) and Assistant Site Manager (ASM) job description. * Ability to supervise and manage the functions listed in the CSR and ASM job description. * Ability to use computer, or acquire those skills necessary to use a computer at the site, which includes analysis of reports, inventory control, cash control, counseling notices, etc. * A valid driver’s license and adequate transportation to/from bank and corporate management meetings. * Ability to communicate (orally and in writing) in English. * Perform other duties as assigned or delegated by his/her supervisor. # **_ESSENTIAL DUTIES, RESPONSIBILITIES AND SKILLS_** # ** _Leadership and Management_** * Recruit, hire and train positive, enthusiastic employees, ensuring excellent customer service. * Develop, manage and assign tasks appropriately to ensure the site is clean, adequately stocked, organize and well kept based on Company standards. * Maintain a professional and supportive image among subordinates and supervisor. * Schedule employees within Company guidelines to maximize customer service and maintain site image. * Implement non-discriminatory related management skills while hiring, training, counseling, motivating and separating employees. # **_Site Relationships_** * Develop positive and professional relationships with all suppliers. * Promote excellent service and resolve customer complaints in a timely, professional manner. * Promote and ensure a safe, positive public image within the neighboring community. # **_Training and Development_** * Prepare on-going and timely performance appraisals in writing for all employees, providing proper performance based feedback. * Train all employees ensuring that customer service, site image and marketing execution meet Company standards. * Train all employees on safety procedures and promote safety awareness. # **_Communication_** * Develop ways and means to ensure that all employees receive proper communication in a timely manner. * Establish periodic on-going communication meetings with all site employees and the Market Manager. # **_Organizing and Planning_** * Evaluate and develop specific action plans to address the needs of the site in order to reach the desired objectives. * Organize and maintain all site files and manuals. * Manage and supervise store employees to ensure that all required and requested reports due are completed accurately and timely. * Manage and supervise store employees to ensure that all merchandise is stocked, attractively displayed and priced correctly. * Ensure that all required employment related posters and signs are in a place that is easily accessible to all employees. # **_Financial_** * Analyze daily sales and expense information and take appropriate action to maximize sales and net profits. * Budget and forecast P&L lines, as well as understand and manage merchandise margins. * Safeguard and account for all money received and disbursed. * Perform all other financial analysis necessary to maximize sales and net profits. # **_Working Conditions_** * Performs approximately all work indoors but will be required to work outside in order to clean parking lots, gas pumps, take out garbage, etc. * Be exposed to occasional cold temperature extremes while supervising or managing store employees performing occasional work in a walk-in cooler and/or freezer. * Be exposed to occasional noise. * Work with a minimum of direction and supervision. * At all times work as an effective manager, supervisor and leader. **THE ABOVE STATEMENTS REFLECT THE GENERAL QUALIFICATIONS/DUTIES AND/OR RESPONSIBILITIES NECESSARY TO IDENTIFY THE JOB AND ARE NOT NECESSARILY INTENDED TO SET FORTH ALL OF THE SPECIFIC REQUIREMENTS OF THE JOB.** ****NOTE: This job description may change periodically as required by business necessity, with or without advance notice to or consent by the employee.**** ## Circle K is an Equal Opportunity Employer. The Company complies with the Americans with Disabilities Act (the ADA) and all state and local disability laws. Applicants with disabilities may be entitled to a reasonable accommodation under the terms of the ADA and certain state or local laws as long as it does not impose an undue hardship on the Company. Please inform the Company’s Human Resources Representative if you need assistance completing any forms or to otherwise participate in the application process. Click below to review information about our company's use of the federal E-Verify program to check work eligibility: [In English](https://www.circlek.com/sites/default/files/pdf/EverifyPosterEnglish.pdf) [In Spanish](https://www.circlek.com/sites/default/files/pdf/EverifyPosterSpanish.pdf)", "summaryDescription" : "External Manager in Training at Circle K", "postedDate" : "2026-06-16T03:49:47.103", "createdAt" : "2026-06-16T03:49:47.052", "lastUpdated" : "2026-06-16T12:42:30.010", "ingestTimestamp" : "2026-06-16T03:49:47.052", "mongoId" : "6a3065e2f292fd229cfac339", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://circlek.wd3.myworkdayjobs.com/CircleKStoreJobs/job/Store-2704620-Pensacola-FL/External-Manager-in-Training_R597338-1", "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "manager", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca34c74d8ee00a09ab2aa", "title" : "President in Training", "company" : "Sitreps", "industry" : "Hospitality", "salary" : { "min" : 125000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-16T06:00:40.077", "fingerprint" : "047327f1198ee3e7c201db290725692e393d0371a5a0b986450feb4f3d1d31b1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/sitrepsllc/jobs/4093405009", "externalId" : "4093405009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" }, { "city" : "Destin", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.3935337,-86.4957834" }, { "city" : "Scottsdale", "state" : "Arizona", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "33.4942189,-111.9260180" }, { "city" : "Steamboat Springs", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.4848003,-106.8317350" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Tampa, Florida, United States; Destin, Florida, United States; Scottsdale, Arizona, United States; Steamboat Springs, Colorado, United States; United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "professionalSkills" : [ "People leadership", "Market strategy", "Financial performance", "Operational excellence", "Business reviews", "Owner acquisition", "Owner retention", "Service quality", "Customer experience" ], "hardSkillsList" : [ "P&L management" ], "softSkillsList" : [ "Leadership", "Emotional intelligence", "Coaching" ], "hardSkills" : [ { "name" : "P&L management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Emotional intelligence" }, { "name" : "Coaching" } ], "majorSkills" : "Operations management, Team leadership, Market strategy, P&L responsibility", "majorSkillsList" : [ "Operations management", "Team leadership", "Market strategy", "P&L responsibility" ], "coreResponsibilities" : "Drive execution across core operational functions, Lead department heads, Ensure performance against key metrics, Maintain alignment with company SOPs, Maintain alignment with company systems, Maintain alignment with company technology platforms, Lead weekly business reviews, Collaborate with centralized support teams, Hire frontline leaders, Manage frontline leaders, Develop frontline leaders, Hire individual contributors, Manage individual contributors, Develop individual contributors, Build a culture of ownership, Build a culture of excellence, Build a culture of servant leadership, Reinforce a culture of ownership, Reinforce a culture of excellence, Reinforce a culture of servant leadership, Act as a visible leader, Act as a hands-on leader, Set high standards for accountability, Set high standards for performance, Support local market strategy, Support local market execution, Support owner acquisition initiatives, Support owner retention initiatives, Lead special projects, Improve efficiency, Improve margins, Improve service quality, Identify opportunities to strengthen local operations, Execute opportunities to strengthen local operations, Identify opportunities to strengthen customer experience, Execute opportunities to strengthen customer experience, Participate in formal training forums, Participate in leadership workshops, Shadow senior executives, Attend strategic planning sessions, Build judgment, Build discipline, Build confidence to run a scaled local business, Lead with company culture, Lead with company values", "teamCollaboration" : "Collaborate with centralized support teams; Collaborate with Brand President", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Vacation rental management; Local market strategy; Guest services; Housekeeping; Maintenance; Owner services; EBITDA", "domainList" : [ "vacation-rental-management", "local-market-strategy", "guest-services", "housekeeping", "maintenance", "owner-services", "ebitda" ], "domainSpecificKnowledge" : [ "Vacation rental management", "Local market strategy", "Guest services", "Housekeeping", "Maintenance", "Owner services", "EBITDA" ], "continuousLearning" : "Formal training forums; Leadership workshops", "innovationCreativity" : "Special projects focused on improving efficiency", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Relocation required, Relocation support provided", "outcomesObjectives" : "Improve key KPIs; Improve guest satisfaction; Improve owner retention; Improve team engagement; Improve EBITDA; Demonstrate readiness for P&L responsibility; Transition into Brand President role; Lead a local business", "qualificationsBasic" : "2-5 years management consulting, 2-5 years private equity operations, 2-5 years corporate strategy, 3+ years operations, 3+ years hospitality leadership, 3+ years logistics leadership, 3+ years retail leadership, 3+ years general management, Bachelor's degree, Analytical skills, Communication skills, Project management skills, Comfort operating in ambiguous environments, Comfort operating in fast-paced environments, Ability to drive outcomes without formal authority, Willingness to relocate", "qualificationsPreferred" : "Prior people management experience, Cross-functional leadership experience, MBA or relevant graduate degree", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "President-in-Training – Operations Immersion Location: Remote to start; relocation required to one of the company's operating markets (beach towns in the Southeast or premier vacation destinations in the West, such as Tampa, Destin, Scottsdale, or Steamboat) Program Duration: 12–18 months Compensation: $125,000–$150,000 base salary + bonus + long-term incentive eligibility About the Client The company is a leading vacation rental management platform in the United States, managing 10,000+ vacation rentals across top resort destinations. The business is growing rapidly, gaining market share, and redefining the industry through locally led operations, industry-leading operating practices, and a strong learning and performance culture. The organization is deeply committed to delivering exceptional service to property owners and memorable guest experiences, while building scalable, high-performance local businesses. About the Role The President-in-Training – Operations Immersion Track is a hands-on, field-based leadership apprenticeship designed to develop future Brand Presidents through deep operational ownership and team leadership. Over 12–18 months, participants will operate as the #2 leader within one of the company's most complex or high-growth markets. You'll gain end-to-end exposure to daily operations, people leadership, financial performance, and local market strategy—building the skills and judgment required to run a full P& L. This program is ideal for high-potential operators looking to accelerate their path to general management in a mission-driven, high-performance environment. Responsibilities Operational Excellence: Drive execution across core operational functions, including guest services, housekeeping, maintenance, and owner services Lead department heads and ensure performance against key metrics Maintain alignment with company SOPs, systems, and technology platforms Lead weekly business reviews and collaborate closely with centralized support teams Team Leadership & Culture Hire, manage, and develop frontline leaders and individual contributors Build and reinforce a culture of ownership, excellence, and servant leadership Act as a visible, hands-on leader who sets high standards for accountability and performance Support local market strategy and execution alongside the Brand President Business Growth & Special Projects Support owner acquisition and retention initiatives Lead special projects focused on improving efficiency, margins, and service quality Identify and execute opportunities to strengthen local operations and customer experience Executive & Leadership Development Participate in formal training forums and leadership workshops Shadow senior executives and attend strategic planning sessions Build the judgment, discipline, and confidence required to run a scaled local business Learn to lead with company culture and values at the core Program Outcomes By the end of the program, you will be expected to: Own and improve key KPIs across guest satisfaction, owner retention, team engagement, and EBITDA Demonstrate readiness to assume full P&L responsibility Seamlessly transition into a Brand President role with confidence and operational fluency Lead a local business with strong people leadership, operational rigor, and market expertise Requirements Must-Haves 2–5 years in management consulting, private equity operations, corporate strategy, or similar high-performance environments 3+ years in operations, hospitality, logistics, retail leadership, or general management roles Bachelor's degree required Strong analytical, communication, and project management skills Comfort operating in ambiguous, fast-paced environments Ability to drive outcomes across teams without formal authority Highly driven, curious, and execution-oriented Strong people leader with high emotional intelligence and a coaching mindset Bias for action, operational discipline, and resourcefulness Comfortable with hands-on execution, rapid change, and relocation Willingness to relocate for final Brand President placement (relocation support provided) Nice-to-Haves Prior people management and cross-functional leadership experience strongly preferred MBA or relevant graduate degree strongly preferred Compensation & Benefits Base salary: $125,000–$150,000 annually Annual performance bonus: Up to 10% of base salary, tied to key business KPIs Comprehensive health insurance benefits 401(k) retirement plan with company match Full relocation support for Brand President placement Upon promotion to Brand President: Participation in the company's long-term incentive program Eligibility to earn 12.5% of EBITDA growth from start date through recapitalization", "summaryDescription" : "President in Training at Sitreps. Skills: Operations management, Team leadership, Market strategy, P&L responsibility. Drive execution across core operational functions. Lead department heads", "postedDate" : "2026-06-14T20:15:47.545", "createdAt" : "2026-06-14T20:15:47.545", "lastUpdated" : "2026-06-16T06:00:40.077", "ingestTimestamp" : "2026-06-14T20:15:47.545", "mongoId" : "6a2ca34c74d8ee00a09ab2aa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "P&L management", "Leadership", "Emotional intelligence", "Coaching", "Operations management", "Team leadership", "Market strategy", "P&L responsibility", "People leadership", "Financial performance", "Operational excellence", "Business reviews", "Owner acquisition", "Owner retention", "Service quality", "Customer experience", "Project management", "Vacation rental management", "Local market strategy", "Guest services", "Housekeeping", "Maintenance", "Owner services", "EBITDA" ], "skillCount" : 24, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305653f292fd229cf27ca7", "title" : "Store Manager In-Training", "company" : "Serv-U-Success", "industry" : "M0241 - Huber Heights, OH", "salary" : { "min" : 42588.0, "max" : 57000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Huber Heights, OH", "locations" : [ "Huber Heights, OH" ], "timestamp" : "2026-06-16T11:01:41.063", "fingerprint" : "7cdfee62ed4cc9faea071957fca570e55c01ee61fc951ae14940e7c08efbb249", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/serv-u-success/d84fdf17-e039-4b75-9103-0aaea216fca4/apply", "externalId" : "d84fdf17-e039-4b75-9103-0aaea216fca4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Huber Heights", "state" : "Ohio", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "39.8590241,-84.1112699" } ], "locationText" : "Huber Heights, Ohio, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Service performance", "Quality management", "Budget management" ], "hardSkillsList" : [ "Inventory counts", "Balance on Hand" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Inventory counts", "level" : "intermediate" }, { "name" : "Balance on Hand", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Team management, Talent acquisition, Store operations", "majorSkillsList" : [ "Team management", "Talent acquisition", "Store operations" ], "coreResponsibilities" : "Manage store teams, Coach store teams, Cross-train employees, Source Assistant Store Managers, Identify Assistant Store Managers, Hire Assistant Store Managers, Maintain data integrity, Maintain data timeliness, Schedule resources, Monitor conditions, Adjust as conditions warrant, Maintain Backroom, Manage receipt of product, Manage put-away of product, Manage issue of product, Support accurate Balance on Hand, Support inventory counts, Train employees on inventory, Communicate results to management, Coordinate planning of projects, Coordinate execution of projects", "teamCollaboration" : "Cross-functional teams; Talent Acquisition Coordinators; Staffing partners", "domainKnowledge" : "Serv-U core processes; Grocery functions; Direct Store Delivery", "domainList" : [ "serv-u-core-processes", "grocery-functions", "direct-store-delivery" ], "domainSpecificKnowledge" : [ "Serv-U core processes", "Grocery functions", "Direct Store Delivery" ], "communicationSkills" : "Communicate effectively; Write legibly", "continuousLearning" : "Store Manager in Training program", "specialRequirements" : "Reliable attendance, Regular attendance, Travel to different locations", "outcomesObjectives" : "Achieve company goals in store revenue; Achieve company goals in service performance; Achieve company goals in quality; Achieve company goals within budget", "qualificationsBasic" : "Associate's degree or equivalent, 3 – 8 years in service industry, Some supervisory or leadership experience, Demonstrated ability to build teams, Demonstrated desire to lead teams", "qualificationsPreferred" : "Experience in a positive work environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "## Description - Up to $57,000/year, pay for experience - Additional bonus and incentive programs - Weekly Phone Stipend - Weekdays and Weekends - Availability 6:00am-6:00pm Wonder what it's like working at Serv-U-Success? Check out this video: https://youtu.be/A5-Fova_4us Are you an experienced manager? Do you enjoy mentoring and training people? If so, the Store Manager position at Serv-U-Success may be the right job for you. As a Store Manager, you would focus on finding the best people to represent Serv-U in-store, provide them the tools and training needed for them to be successful, coaching and mentoring them to be part of a high-performance team – and a rewarding Serv-U-Success experience. This individual will engage a people-oriented approach to enable company goals to be achieved in the areas of store revenue, service performance, quality, and within budget. To start you will participate in a Store Manager in Training program working side by side with our Field Operations Manager for up to 60 days. The training will prepare you to manage your “primary” store location without the pressure of managing a team or being responsible for the day-to-day store operations. You will learn the unique Serv-U core processes, etc. that will help prepare you to become a successful Serv-U Store Manager. ## Responsibilities Manage, and coach store teams consisting of Assistant Store Managers and Store Representatives, also effectively cross-training all employees in grocery or Direct Store Delivery (DSD) and Service functions. Work with Serv-U Talent Acquisition and Development Coordinators and/or our outside staffing partners to source, identify and hire capable Assistant Store Managers & Store Reps for day and night shifts. Maintain the integrity and timeliness of data and mPlans reported in their store as it plays a critical role in decision making. Schedule resources to support daily requirements and to maintain flexibility within planned budgets. Monitor & adjust as conditions warrant. Maintain a clean, orderly & efficient Backroom, managing the receipt, put-away, and issue of product and service materials. Support accurate Balance on Hand and inventory counts and training other employees to perform the same. Communicating results to in-store management and coordinating the planning and execution of complex service projects. May be assigned other responsibilities and projects. ## Additional Requirements Reliable and regular attendance in the stores. Work cannot be performed remotely. May be asked to travel to a different location(s), without delay. Read, understand, and follow all Serv-U policies and standard operating procedures as outlined in the electronic Employee Handbook and Visual Work Instructions. Must be able to perform the essential duties of this job with or without reasonable accommodation. May be assigned other responsibilities and projects as necessary. ## Qualifications Associate’s degree or equivalent education and related experience required. 3 – 8 years in a service industry, with some supervisory or leadership experience. Results-oriented. Organized & methodical. Demonstrated ability and desire to build and lead teams in a positive work environment. Ability to communicate effectively, write legibly, follow directions. Utilize technology – primarily personal devices (a weekly phone stipend is provided). ## Benefits offered for full time employment 401(k) 401(k) matching Dental insurance Health insurance Health savings account Life insurance Paid time off Referral program Vision insurance ## Additional Information At Serv-U-Success, our Mission is to deliver exceptional results to our customers every day with innovative, best-in class execution, achieved by inspiring and empowering team members who share a passion for being part of something bigger than themselves. We show our Values in everything we do: - Passion – We energize, engage, and inspire others because we love what we do and how we do it. - Empowerment – We have permission to take risks, be transparent, and do the right thing to serve our customers and team. - Innovation – We are relentlessly curious and determined to find a better way of doing things together. - Balance – We believe that a well-rounded life outside of work is essential for personal well-being and professional success. We make time for things we have to do as well as the things we want to do. - Teamwork – We want individuals to dream, value differences, and celebrate achievements to create something bigger than themselves. Our Mission is to deliver exceptional results to our customers every day with innovative, best-in class execution, achieved by inspiring and empowering team members who share a passion for being part of something bigger than themselves. We show our Values in everything we do: - Passion – We energize, engage, and inspire others because we love what we do and how we do it. - Empowerment – We have permission to take risks, be transparent, and do the right thing to serve our customers and team. - Innovation – We are relentlessly curious and determined to find a better way of doing things together. - Balance – We believe that a well-rounded life outside of work is essential for personal well-being and professional success. We make time for things we have to do as well as the things we want to do. - Teamwork – We want individuals to dream, value differences, and celebrate achievements to create something bigger than themselves. At Serv-U-Success, our values guide both our relationships and our actions. Each value reflects and reinforces our commitment to Equal Employment Opportunity. We believe in equality, affirming the worth and freedom of every individual, and treating all people with respect and dignity. In line with this philosophy, our policy is to ensure that Serv-U-Success complies with all state, federal, and local laws prohibiting discrimination based on race, color, religion, gender, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other factor unrelated to a person's skills and job performance. This commitment applies to all employment practices, including hiring, firing, compensation, promotion, and other terms and conditions of employment. In alignment with our core values of passion, empowerment, innovation, balance, and teamwork, we are committed to fostering a workplace where every individual is valued for their unique contributions. We strive to make employment decisions based solely on qualifications, experience, and performance, ensuring fairness and promoting a culture of inclusivity. Our dedication to diversity is a reflection of our belief that the strength of our team comes from embracing differences, and that true success is built on respect for all individuals, regardless of race, color, creed, ethnicity, gender, age, sexual orientation, gender identity, or disabilities.", "summaryDescription" : "Store Manager In-Training at Serv-U-Success. Skills: Team management, Talent acquisition, Store operations. Manage store teams. Coach store teams", "postedDate" : "2026-06-15T17:15:22.332", "createdAt" : "2026-06-15T17:15:22.332", "lastUpdated" : "2026-06-16T11:01:41.063", "ingestTimestamp" : "2026-06-16T03:22:03.888", "mongoId" : "6a305653f292fd229cf27ca7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 42588, "salaryAnnualMax" : 57000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Inventory counts", "Balance on Hand", "Leadership", "Mentoring", "Team management", "Talent acquisition", "Store operations", "Service performance", "Quality management", "Budget management", "Serv-U core processes", "Grocery functions", "Direct Store Delivery" ], "skillCount" : 13, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c6a6674d8ee00a090bad8", "title" : "Leader in Training", "company" : "Green Thumb", "location" : "Long Beach, New York, United States", "locations" : [ "Long Beach", "New York", "United States" ], "timestamp" : "2026-06-15T10:42:38.739", "fingerprint" : "54ef79c327da58d87df502004625e697d708a7bce1e7cf6019194c1f81597d8d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/greenthumbindustries/jobs/8002656", "externalId" : "8002656", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Long Beach", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Long Beach, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "experienceMaxYears" : 3, "experienceLevel" : "Junior", "technicalSkills" : "word processing, database management, spreadsheet applications, email", "professionalSkills" : [ "Must have a solid understanding of the Cannabis laws, rules and regulations, and a passion to further their understanding and knowledge of the industry and the laws. Prior cannabis experience not required." ], "hardSkillsList" : [ "cash handling", "inventory control", "scheduling", "customer service", "retail experience", "supervisory role" ], "softSkillsList" : [ "proactive, work ethic, attention to detail, leadership skills, interpersonal skills, critical thinking, professionalism, integrity, resourcefulness" ], "hardSkills" : [ { "name" : "cash handling", "level" : "intermediate" }, { "name" : "inventory control", "level" : "intermediate" }, { "name" : "scheduling", "level" : "intermediate" }, { "name" : "customer service", "level" : "intermediate" }, { "name" : "retail experience", "level" : "intermediate" }, { "name" : "supervisory role", "level" : "intermediate" } ], "softSkills" : [ { "name" : "proactive, work ethic, attention to detail, leadership skills, interpersonal skills, critical thinking, professionalism, integrity, resourcefulness" } ], "majorSkills" : "customer experience, inventory management, team leadership, compliance, cannabis laws", "majorSkillsList" : [ "customer experience, inventory management, team leadership, compliance, cannabis laws" ], "coreResponsibilities" : "The Leader in Training (LIT) is a key member of the dispensary leadership team, responsible for supervising daily operations, ensuring compliance with regulations, and optimizing the customer experience. This role involves managing inventory, overseeing deliveries, leading team members in executing promotions, and ensuring accurate cash handling. The LIT also plays a crucial part in fostering a positive customer journey and motivating the team to achieve loyalty goals.", "teamCollaboration" : "Partners with the General Manager or Assistant General Manager to build and retain a high-performing team, including selecting talent, onboarding, and training new members. Provides coaching and feedback to team members and partners with management on accountability. Facilitates team member badging and coordinates scheduling.", "toolProficiency" : [ "point of sale system" ], "communicationSkills" : "communication", "continuousLearning" : "Continuously open to constructive, developmental feedback and maintaining composure even in difficult situations. Possesses a high level of critical thinking and a passion to further understanding and knowledge of the industry and laws.", "innovationCreativity" : "Highly motivated, self-directed, innovative, and able to work independently or among teams with keen judgment, common sense, and resourcefulness.", "problemSolvingSkills" : "conflict resolution", "specialRequirements" : "Must be able to perform tasks for prolonged periods, including moving about the dispensary, remaining stationary, conversing with individuals, operating equipment, preparing orders, inspecting details, and moving inventory up to 30 pounds. Must be able to work in a patient/customer-facing environment, outdoors in varying weather, and be exposed to cannabis and potential allergens.", "outcomesObjectives" : "Motivate team members to consistently deliver memorable, positive in-store customer experiences and achieve Loyalty goals. Ensure adequate sales floor coverage and zoning during shifts. Build and retain a high-performing team.", "qualificationsBasic" : "Requires at least three years of customer service or retail experience, with at least one year in a supervisory role. Must meet scheduling and availability requirements, have reliable attendance, be 21 years or older, pass background checks, and possess a valid driver's license or state ID. Must understand and comply with Green Thumb's policies and procedures.", "qualificationsPreferred" : "Cannabis experience and inventory control experience are preferred.", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Role The Leader in Training (LIT) is an adaptable and essential part of the RISE Dispensary leadership team that prioritizes delivering memorable, positive consumer experiences. As part of the leadership team, you have a key role in actively supervising the dispensary’s daily operations, communicating priorities to team members, and optimizing the customer journey. As a Leader in Training, you will gain subject matter expertise as you rotate through critical dispensary functions supporting operations, experience, and people. The Leader in Training role puts you on a fast track to growth and is a developmental step to becoming Assistant General Manager. Responsibilities Operations Support management in overseeing the execution of all dispensary operations to ensure compliance with security, inventory, and local and state regulations. Monitor and maintain inventory levels, ensuring an assortment of products and communicating inventory action items with management. Oversee the intake and verification of deliveries, transfers, and inventory management, ensuring accuracy within the vault. Actively participate in leading team members to effectively execute programs, initiatives, and regionalized in-store promotions. Demonstrate proper cash handling, including accurately processing payments, discount application, and cash maintenance, and oversee team member execution. Experience Lead by example and motivate team members to consistently deliver memorable, positive in-store customer experiences. Participate in “Leader On Duty” shifts to provide active supervision, team member recognition, and redirect behaviors to support the customer journey. Facilitate a seamless omni-channel customer experience and provide oversite to deliver consistency across in-store, drive-thru, curbside & delivery. Lead by example and motivate team members to deliver Loyalty goals. Complete and appropriately delegate assigned tasks during scheduled shifts. Ensure adequate sales floor coverage and zoning during shifts. People In partnership with the General Manager or Assistant General Manager, build and retain a high-performing team by participating in selecting the best talent and leading the onboarding and training of new team members. Provide coaching and feedback to help team members exceed performance and behavioral expectations. Partner with management to issue accountability. Help facilitate the store’s team member badging process with local and state agencies. Maintain and coordinate scheduling of team members' shifts, meal breaks, and rest periods. Perform other duties as needed. Qualifications At least three years of customer service or retail experience, with at least one year in a supervisory role. Cannabis experience preferred Inventory control experience preferred Meet the scheduling and availability requirements (i.e., ability to work a schedule inclusive of varying shifts such as mornings, days, nights, and weekends) to meet business needs Must have reliable, responsible and dependable attendance. Must be 21 years or older. Must pass any and all required background checks. Must possess a valid driver’s license or state ID. Must understand and comply with the rules, regulations, policies, and procedures of Green Thumb Must have a solid understanding of the Cannabis laws, rules and regulations, and a passion to further their understanding and knowledge of the industry and the laws. Prior cannabis experience not required Skills Must be proactive, with a strong work ethic, attention to detail, and strong communication and leadership skills. Meet timelines consistently and be able to work under pressure effectively. Continuously open to constructive, developmental feedback, and maintaining composure even in difficult situations. High level of interpersonal skills in a fast-paced, deadline-oriented environment, often working cross-functionally. Ability to use standard office equipment and computer software including word processing, database management, spreadsheet applications, and email Highly motivated, self-directed, innovative, and able to work independently or among teams with keen judgment, common sense, and resourcefulness. Adapts and thrives in a demanding, fast-paced environment Possesses a high level of critical thinking Operates with a high level of professionalism and integrity, including dealing with confidential information Ability to resolve conflict, handle employee and customer complaints, and settle disputes Additional Requirements Must have the ability to perform the following tasks for prolonged periods of time (i.e., up to the duration of a scheduled shift or workday) Move about the dispensary in order to fulfill work assignments and assist employees and patients and/or customers in various locations of the dispensary Remain in a stationary position, if required, to meet the needs of the business Converse and communicate with individuals and groups of people directly Operate point of sale system, computer, and other office productivity machinery in order to use online programming and software including word processing, database management, spreadsheet applications and email Prepare patient and customer orders by moving and placing products Inspect and receive detailed information, such as patients' and/or customers' dates of birth, in-store or online orders, or inquiries Move inventory and materials weighing up to 30 pounds independently Position self to move inventory and materials in storage areas Working Conditions Patient and/or customer-facing environment Ability to work outdoors in varying and sometimes adverse weather conditions Exposure to cannabis and/or allergens that might be present in an environment where cannabis is present and prevalent The pay range is competitive and based on experience, qualifications, and/or location of the role. Positions may be eligible for a discretionary annual incentive program driven by organization and individual performance. Green Thumb Pay Range $23—$25 USD", "summaryDescription" : "Leader in Training at Green Thumb. Skills: customer experience, inventory management, team leadership, compliance, cannabis laws. The Leader in Training (LIT) is a key member of the dispensary leadership team, responsible for supervising daily operations, ensuring compliance with regulations, and optimizing the customer experience. This role involves managing inventory, overseeing deliveries, leading team members in executing promotions, and ensuring accurate cash handling. The LIT also plays a ", "postedDate" : "2026-06-14T19:15:17.907", "createdAt" : "2026-06-14T19:15:17.907", "lastUpdated" : "2026-06-15T10:42:38.739", "ingestTimestamp" : "2026-06-14T19:15:17.907", "mongoId" : "6a2c6a6674d8ee00a090bad8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "cash handling", "inventory control", "scheduling", "customer service", "retail experience", "supervisory role", "proactive, work ethic, attention to detail, leadership skills, interpersonal skills, critical thinking, professionalism, integrity, resourcefulness", "customer experience, inventory management, team leadership, compliance, cannabis laws", "Must have a solid understanding of the Cannabis laws, rules and regulations, and a passion to further their understanding and knowledge of the industry and the laws. Prior cannabis experience not required.", "point of sale system" ], "skillCount" : 10, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca03274d8ee00a09a1810", "title" : "Agent in Training", "company" : "Eric Rodriguez Agency", "industry" : "Producer", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Eric Rodriguez Agency - Long Beach", "locations" : [ "Eric Rodriguez Agency - Long Beach" ], "timestamp" : "2026-06-15T07:03:20.766", "fingerprint" : "385fdf19c1379cb89e366d43f31e28118adc44097ddcf946088655d728aa904f", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/farmersd40/0732f8fe-bfe3-4a89-b52e-bc0b8d091fdc/application", "externalId" : "0732f8fe-bfe3-4a89-b52e-bc0b8d091fdc", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Long Beach", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Long Beach, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 1, "experienceMaxYears" : 2, "experienceLevel" : "Junior", "professionalSkills" : [ "Insurance" ], "hardSkillsList" : [ "sales closings", "Surpass sales goals" ], "softSkillsList" : [ "Eagerness to learn, adapt, take coaching" ], "hardSkills" : [ { "name" : "sales closings", "level" : "intermediate" }, { "name" : "Surpass sales goals", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Eagerness to learn, adapt, take coaching" } ], "majorSkills" : "sales, customer service, communication, negotiation, relationship building", "majorSkillsList" : [ "sales, customer service, communication, negotiation, relationship building" ], "coreResponsibilities" : "Drive revenue growth, deliver personalized insurance solutions, and contribute to a vibrant, team-focused environment. Identify and engage new prospects, consult with individuals and businesses to understand their unique needs and recommend meaningful coverage, cross-sell a full suite of insurance products, build lasting relationships through attentive service, regular reviews, and proactive support, stay current with ongoing product training and compliance awareness, and collaborate with your team to strategize and win together.", "teamCollaboration" : "Collaborate with your team to strategize and win together!", "toolProficiency" : [ "CRM software" ], "communicationSkills" : "phone conversations; negotiation skills; Bilingual skills", "continuousLearning" : "Access top-tier tools and the strength of a nationally recognized insurance brand. Stay current with ongoing product training and compliance awareness. Paid training and continuous learning opportunities.", "problemSolvingSkills" : "Identify and engage new prospects; turning connections into loyal clients; recommend meaningful coverage; Cross-sell a full suite of insurance products", "outcomesObjectives" : "Surpass sales goals and help the agency reach new milestones. Launch your career with comprehensive training, mentorship, and advancement opportunities—including leadership roles and future agency ownership.", "qualificationsBasic" : "1+ year sales, customer service, or insurance experience (preferred). Excellent communication and negotiation skills. Confidence in phone conversations and sales closings. Eagerness to learn, adapt, and take coaching. Organizational skills and a results-driven mindset. Bilingual skills are a plus!", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Agent in Training – Farmers Insurance | Eric Rodriguez Agency, Long Beach, CA Ignite Your Sales Career with a Leading Insurance Agency! Are you ambitious, energetic, and ready to start an exciting new chapter with a respected name in insurance? The Eric Rodriguez Agency is searching for a passionate, driven Agent in Training to join our dynamic Long Beach team and experience the rewards of a successful sales career! What You'll Do As an Agent in Training, you’ll drive revenue growth, deliver personalized insurance solutions, and contribute to a vibrant, team-focused environment. If you love building connections, embrace challenges, and want to play an important part in your clients’ lives, this is your opportunity to shine! Your Path to Success - Launch your career with comprehensive training, mentorship, and advancement opportunities—including leadership roles and future agency ownership. - Access top-tier tools and the strength of a nationally recognized insurance brand. - Enjoy a positive, high-energy culture that rewards achievement and supports professional growth. What You’ll Tackle - Identify and engage new prospects—turning connections into loyal clients. - Consult with individuals and businesses to understand their unique needs and recommend meaningful coverage. - Cross-sell a full suite of insurance products—Auto, Home, Life, Commercial, and more. - Build lasting relationships through attentive service, regular reviews, and proactive support. - Surpass sales goals and help the agency reach new milestones. - Stay current with ongoing product training and compliance awareness. - Use CRM software to track leads, follow-ups, and renewals. - Collaborate with your team to strategize and win together! What You Bring - 1+ year sales, customer service, or insurance experience (preferred) - Excellent communication and negotiation skills - Confidence in phone conversations and sales closings - Eagerness to learn, adapt, and take coaching - Strong organizational skills and a results-driven mindset - Bilingual skills are a plus! Why You'll Love It Here - Base salary plus unlimited commission potential - Exciting performance-based bonuses and incentives - Paid training and continuous learning opportunities - Clear path for career growth, including potential agency ownership - Supportive, team-oriented environment that celebrates success - Health insurance support options (varies by agency) - Paid time off, holidays, and special milestone rewards - The stability and reputation of the Farmers Insurance brand supporting you at every stage Ready to Make Your Mark? This isn’t just another job—it’s the springboard for your insurance career! If you’re passionate, motivated, and ready to excel, the Eric Rodriguez Agency wants to hear from you. Apply now and jumpstart your journey toward success with a team—and a future—you’ll be proud of!", "summaryDescription" : "Agent in Training at Eric Rodriguez Agency. Skills: sales, customer service, communication, negotiation, relationship building. Drive revenue growth, deliver personalized insurance solutions, and contribute to a vibrant, team-focused environment. Identify and engage new prospects, consult with individuals and businesses to understand their unique needs and recommend meaningful coverage, cross-sell a full suite of insurance products, build lasting relationships through attentive service, regular ", "createdAt" : "2026-06-14T17:51:36.361", "lastUpdated" : "2026-06-15T07:03:20.766", "ingestTimestamp" : "2026-06-14T17:51:36.361", "mongoId" : "6a2ca03274d8ee00a09a1810", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 75000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "sales closings", "Surpass sales goals", "Eagerness to learn, adapt, take coaching", "sales, customer service, communication, negotiation, relationship building", "Insurance", "CRM software" ], "skillCount" : 6, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Insurance", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8dfb74d8ee00a097a7b1", "title" : "Clinical Counseling Psychologist (PhD, PsyD)", "company" : "LifeStance Health", "industry" : "Clinical", "salary" : { "min" : 111000.0, "max" : 129000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Summerville, SC", "locations" : [ "Summerville, SC" ], "timestamp" : "2026-06-15T23:10:35.045", "fingerprint" : "4129dd72c8ea2bc39e1da638f6293c48261a83e05ef19204acd8a95c72be70fc", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/lifestance/1a8fd293-7dff-4b3e-ad07-8b58ab5c54df/apply", "externalId" : "1a8fd293-7dff-4b3e-ad07-8b58ab5c54df", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Summerville", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "33.0186699,-80.1762704" } ], "locationText" : "Summerville, South Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description At LifeStance Health, we believe in a truly healthy society where mental and physical healthcare are unified to make lives better. Our mission is to help people lead healthier, more fulfilling lives by improving access to trusted, affordable, and personalized mental healthcare. Everywhere. Every day. It’s a lofty goal; we know. But we make it happen with the best team in behavioral health. Thank you for taking the time to explore a career with us. As the fastest growing behavioral health practice group in the country, now is the perfect time to join our clinical team! We are actively looking to hire talented Licensed Psychologists in the area who are passionate about patient care and committed to clinical excellence. ## We offer Psychologists Competitive earnings package with uncapped potential Compensation range: $111,000 to $129,000+, compensation model based on productivity W2 employed position with flexible hybrid work schedules Collaborative work environment with unmatched support Sign-on bonus! Care Access and Quality Incentive: Annual cash bonus program Comprehensive benefit package 401k with up to 4% match CEUs and Clinical Education Benefit Strong work/life balance ## Psychologists are a critical part of our clinical team. We’re seeking Psychologists that are Local to and fully licensed in South Carolina; PhD or PsyD in Clinical/Counseling Psychology or Neuropsychology; Experienced working with child, adolescent, and/or adult populations. ## Location and Schedule Conveniently located off of Nexton Pkwy and Brighton Park Blvd Start in fewer than 60 days Beautifully designed offices that are thoughtfully laid out Monday-Friday with evenings/weekends optional Flexible hybrid schedule (between office and home) to accommodate work/life balance ## Additional Information Apply now or contact me today! Leah Sweeney Director, Practice Development, South Carolina LifeStance Health, Inc. (e) Leah.Sweeney@LifeStance.com About LifeStance Health LifeStance is a national provider of mental healthcare services focused on evidenced-based, medically driven treatment services for children, adolescents and adults suffering from a variety of mental health issues in an outpatient care setting, both in-person at its clinics nationwide and through its digital health telemedicine offering. The company employs psychiatrists, psychologists, psychiatric nurse practitioners, and licensed therapists throughout the US. LifeStance Health is an equal opportunity employer. We celebrate diversity and are fully committed to creating an inclusive work environment for all our employees. Our values: Belonging: We cultivate a space where everyone can show up as their authentic self. Empathy: We seek out diverse perspectives and listen to learn without judgment. Courage: We are all accountable for doing the right thing - even when it's hard - because we know it's worth it. One Team: We realize our full potential when we work together towards our shared purpose. If you elect to interact with us via our website, please only use www.lifestance.com or www.careers.lifestance.com. Additionally, our recruiters utilize email addresses with the @lifestance.com domain. Other websites and domains are not affiliated with LifeStance Health and may represent threats to your data security. LifeStance Health complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact our Human Resources Team at ADA@lifestance.com or by calling +1-800-308-0994. Please note: This contact is intended solely for accommodation requests. Inquiries regarding applications, resumes and applicant status should not be sent to this email address as they will not be reviewed or responded to. To apply for a position, please use our official careers page. ", "summaryDescription" : "Clinical Counseling Psychologist (PhD, PsyD) at LifeStance Health", "postedDate" : "2026-06-12T21:18:55.095", "createdAt" : "2026-06-12T21:18:55.095", "lastUpdated" : "2026-06-15T23:10:35.045", "ingestTimestamp" : "2026-06-14T22:14:05.502", "mongoId" : "6a2c8dfb74d8ee00a097a7b1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 111000, "salaryAnnualMax" : 129000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8dfb74d8ee00a097a7bb", "title" : "Clinical Counseling Psychologist (PhD, PsyD)", "company" : "LifeStance Health", "industry" : "Clinical", "salary" : { "min" : 111000.0, "max" : 129000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Charleston, SC", "locations" : [ "Charleston, SC" ], "timestamp" : "2026-06-16T00:23:47.594", "fingerprint" : "49761eaa7376962330dde916ecb0fadb0b539dceedfece15dd04c977f1e5e6c4", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/lifestance/57c05bd0-3529-4fb1-ad03-531768a0c4f9/apply", "externalId" : "57c05bd0-3529-4fb1-ad03-531768a0c4f9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Charleston", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "32.7884363,-79.9399309" } ], "locationText" : "Charleston, South Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description At LifeStance Health, we believe in a truly healthy society where mental and physical healthcare are unified to make lives better. Our mission is to help people lead healthier, more fulfilling lives by improving access to trusted, affordable, and personalized mental healthcare. Everywhere. Every day. It’s a lofty goal; we know. But we make it happen with the best team in behavioral health. Thank you for taking the time to explore a career with us. As the fastest growing behavioral health practice group in the country, now is the perfect time to join our clinical team! We are actively looking to hire talented Licensed Psychologists in the area who are passionate about patient care and committed to clinical excellence. ## We offer Psychologists Competitive earnings package with uncapped potential Compensation range: $111,000 to $129,000+, compensation model based on productivity W2 employed position with flexible hybrid work schedules Collaborative work environment with unmatched support Sign-on bonus! Care Access and Quality Incentive: Annual cash bonus program Comprehensive benefit package 401k with up to 4% match CEUs and Clinical Education Benefit Strong work/life balance ## Psychologists are a critical part of our clinical team. We’re seeking Psychologists that are Local to and fully licensed in South Carolina; PhD or PsyD in Clinical/Counseling Psychology or Neuropsychology; Experienced working with child, adolescent, and/or adult populations. ## Location and Schedule Conveniently located in West Ashley, on Ashley River Road Start in August Monday-Friday with evenings/weekends optional Flexible hybrid schedule (between office and home) to accommodate work/life balance ## Additional Information Apply now or contact me today! Leah Sweeney Director, Practice Development, South Carolina LifeStance Health, Inc. (e) Leah.Sweeney@LifeStance.com About LifeStance Health LifeStance is a national provider of mental healthcare services focused on evidenced-based, medically driven treatment services for children, adolescents and adults suffering from a variety of mental health issues in an outpatient care setting, both in-person at its clinics nationwide and through its digital health telemedicine offering. The company employs psychiatrists, psychologists, psychiatric nurse practitioners, and licensed therapists throughout the US. LifeStance Health is an equal opportunity employer. We celebrate diversity and are fully committed to creating an inclusive work environment for all our employees. Our values: Belonging: We cultivate a space where everyone can show up as their authentic self. Empathy: We seek out diverse perspectives and listen to learn without judgment. Courage: We are all accountable for doing the right thing - even when it's hard - because we know it's worth it. One Team: We realize our full potential when we work together towards our shared purpose. If you elect to interact with us via our website, please only use www.lifestance.com or www.careers.lifestance.com. Additionally, our recruiters utilize email addresses with the @lifestance.com domain. Other websites and domains are not affiliated with LifeStance Health and may represent threats to your data security. LifeStance Health complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact our Human Resources Team at ADA@lifestance.com or by calling +1-800-308-0994. Please note: This contact is intended solely for accommodation requests. Inquiries regarding applications, resumes and applicant status should not be sent to this email address as they will not be reviewed or responded to. To apply for a position, please use our official careers page. ", "summaryDescription" : "Clinical Counseling Psychologist (PhD, PsyD) at LifeStance Health", "postedDate" : "2026-06-12T21:16:33.754", "createdAt" : "2026-06-12T21:16:33.754", "lastUpdated" : "2026-06-16T00:23:47.594", "ingestTimestamp" : "2026-06-14T22:02:48.548", "mongoId" : "6a2c8dfb74d8ee00a097a7bb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 111000, "salaryAnnualMax" : 129000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c8e0174d8ee00a097a98e", "title" : "Clinical Testing Psychologist (PhD/PsyD)", "company" : "LifeStance Health", "industry" : "Clinical", "salary" : { "min" : 133000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "North Charleston, SC", "locations" : [ "North Charleston, SC" ], "timestamp" : "2026-06-16T03:13:24.909", "fingerprint" : "130b7286a91ad0436a7741ca149d110a2e54c2bc73727fa6ea623e7f7c21cf83", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/lifestance/4fca6ca3-cf37-4f62-ae5c-befbfc1a289b/apply", "externalId" : "4fca6ca3-cf37-4f62-ae5c-befbfc1a289b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "North Charleston", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "32.8546197,-79.9748103" } ], "locationText" : "North Charleston, South Carolina, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "PhD", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description At LifeStance Health, we believe in a truly healthy society where mental and physical healthcare are unified to make lives better. Our mission is to help people lead healthier, more fulfilling lives by improving access to trusted, affordable, and personalized mental healthcare. Everywhere. Every day. It’s a lofty goal; we know. But we make it happen with the best team in behavioral health. Thank you for taking the time to explore a career with us. As the fastest growing behavioral health practice group in the country, now is the perfect time to join our clinical team! We are actively looking to hire talented Licensed Clinical Psychologists that are local to the area, passionate about patient care, and committed to clinical excellence. ## We offer Testing Psychologists Competitive earnings package with uncapped potential Compensation range: $133,000 to $160,000+, compensation model based on productivity W2 employed position with flexible hybrid work schedules Collaborative work environment with unmatched support Sign-on bonus! Care Access and Quality Incentive: Annual cash bonus program Comprehensive benefit package 401k with up to 4% match CEUs and Clinical Education Benefit Strong work/life balance ## Psychologists are a critical part of our clinical team. We’re seeking Psychologists that are Local to and fully licensed in Clinical Psychology (PhD/PsyD) in South Carolina. Experienced with caring for adult and child/adolescent populations. Experienced with testing intakes, planning batteries for assessments, report writing and feedback sessions. Trained in Autism Spectrum testing(preferred) ## Location and Schedule Conveniently located at Mark Clark Expy and Leeds Ave Start in fewer than 60 days Beautifully designed offices that are thoughtfully laid out Monday-Friday with evenings/weekends optional Flexible hybrid schedule to accommodate work/life balance ## Additional Information Apply now or contact me today! Leah Sweeney Director of Practice Development, South Carolina LifeStance Health, Inc Leah.Sweeney@lifestance.com About LifeStance Health LifeStance is a national provider of mental healthcare services focused on evidenced-based, medically driven treatment services for children, adolescents and adults suffering from a variety of mental health issues in an outpatient care setting, both in-person at its clinics nationwide and through its digital health telemedicine offering. The company employs psychiatrists, psychologists, psychiatric nurse practitioners, and licensed therapists throughout the US. LifeStance Health is an equal opportunity employer. We celebrate diversity and are fully committed to creating an inclusive work environment for all our employees. Our values: Belonging: We cultivate a space where everyone can show up as their authentic self. Empathy: We seek out diverse perspectives and listen to learn without judgment. Courage: We are all accountable for doing the right thing - even when it's hard - because we know it's worth it. One Team: We realize our full potential when we work together towards our shared purpose. If you elect to interact with us via our website, please only use www.lifestance.com or www.careers.lifestance.com. Additionally, our recruiters utilize email addresses with the @lifestance.com domain. Other websites and domains are not affiliated with LifeStance Health and may represent threats to your data security. LifeStance Health complies with federal and state disability laws and makes reasonable accommodations for applicants and employees with disabilities. If reasonable accommodation is needed to participate in the job application or interview process, to perform essential job functions, and/or to receive other benefits and privileges of employment, please contact our Human Resources Team at ADA@lifestance.com or by calling +1-800-308-0994. Please note: This contact is intended solely for accommodation requests. Inquiries regarding applications, resumes and applicant status should not be sent to this email address as they will not be reviewed or responded to. To apply for a position, please use our official careers page. ", "summaryDescription" : "Clinical Testing Psychologist (PhD/PsyD) at LifeStance Health", "postedDate" : "2026-06-12T21:14:58.486", "createdAt" : "2026-06-12T21:14:58.486", "lastUpdated" : "2026-06-16T03:13:24.909", "ingestTimestamp" : "2026-06-14T21:32:23.917", "mongoId" : "6a2c8e0174d8ee00a097a98e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 133000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c750074d8ee00a0935d88", "title" : "Senior Software Engineer — LLM Post-Training Platform", "company" : "Snowflake", "industry" : "Engineering", "salary" : { "min" : 200000.0, "max" : 287500.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "US-WA-Bellevue", "locations" : [ "US-WA-Bellevue" ], "timestamp" : "2026-06-16T01:59:52.589", "fingerprint" : "0a86a1320d40c604167518610e4a1361e44c97ef4e9afb1714efe0c7ce4305de", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/Snowflake/fdbb184f-0576-49dd-a97c-4a36f5f3b334/application", "externalId" : "fdbb184f-0576-49dd-a97c-4a36f5f3b334", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "PyTorch, DeepSpeed, FSDP, Ray, CUDA, NCCL, Kubernetes", "professionalSkills" : [ "System design", "Performance tuning", "Capacity planning" ], "hardSkillsList" : [ "Distributed systems", "Fault tolerance", "ML infrastructure" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "Fault tolerance", "level" : "intermediate" }, { "name" : "ML infrastructure", "level" : "intermediate" } ], "majorSkills" : "LLM post-training, ML infrastructure, Distributed systems", "majorSkillsList" : [ "LLM post-training", "ML infrastructure", "Distributed systems" ], "coreResponsibilities" : "Design across full stack, Build across full stack, Build public training APIs, Build SDKs, Build control plane, Build GPU data plane, Scale distributed systems, Make GPU compute serverless, Multi-tenant scheduling, Placement, Capacity-aware routing, Drive end-to-end performance, Keep training loops fast, Keep inference loops fast, Keep RL loops fast, Keep data plane responsive, Keep GPUs saturated, Productionize research building blocks, Turn training techniques into components, Turn inference techniques into components", "teamCollaboration" : "Snowflake Research; ML Platform team", "domainKnowledge" : "LLMs; Distributed systems; ML workloads; Foundation models; SFT; RL workflows; GPU compute; Multi-node training; Inference", "domainList" : [ "llms", "distributed-systems", "ml-workloads", "foundation-models", "sft", "rl-workflows", "gpu-compute", "multi-node-training", "inference" ], "domainSpecificKnowledge" : [ "LLMs", "Distributed systems", "ML workloads", "Foundation models", "SFT", "RL workflows", "GPU compute", "Multi-node training", "Inference" ], "toolProficiency" : [ "DeepSpeed", "FSDP", "Ray", "Kubernetes" ], "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "5+ years building production ML systems, Distributed systems and infrastructure foundation, Designing scalable, fault-tolerant services, Operating services on Kubernetes, Familiarity with GPU and LLM infrastructure, Debugging across data, infrastructure, GPU layers, Harden complex systems for reliability, Harden complex systems for throughput, Harden complex systems for cost efficiency, BS in Computer Science", "qualificationsPreferred" : "MS/PhD a plus, Hands-on LLM post-training experience, Deep infra skills with post-training intuition", "workSiteFlexibility" : "Onsite", "rawDescription" : "At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. SENIOR SOFTWARE ENGINEER — LLM POST-TRAINING PLATFORM The Snowflake ML Platform team's mission is to let customers run their most demanding ML/AI workloads inside Snowflake. Cortex Training is our LLM post-training platform: it turns scarce, expensive GPU capacity into a simple, composable service, so customers can adapt open-weight foundation models to their own business problems while we handle the hard distributed-systems parts, including scheduling, orchestration, multi-node training and inference, fault tolerance, and throughput. The platform already runs post-training at scale. Under the hood, it decouples GPU computation from the training loop and exposes it as primitive APIs that compose into everything from SFT to full RL workflows. You'll work alongside a team that ships fast & sweats reliability and the researchers behind DeepSpeed. We're looking for an engineer who thrives in the ML infrastructure layer and brings a solid understanding of LLMs and post-training to help us scale and grow it. YOU WILL: - Design and build across the full stack — from the public training APIs and SDK through the control plane to the GPU data plane. - Scale the distributed systems that make GPU compute serverless — multi-tenant scheduling, placement, and capacity-aware routing across regional GPU pools, with fault tolerance built in. - Drive end-to-end performance at scale — keep the training, inference, and RL loops fast and the data plane responsive under heavy concurrent load, with GPUs kept saturated. - Productionize research building blocks — partner with Snowflake Research to turn state-of-the-art training and inference techniques into reliable, composable components customers can run at enterprise scale. QUALIFICATIONS: - 5+ years building and shipping production ML systems - Strong distributed systems and infrastructure foundation — designing scalable, fault-tolerant services and operating them on Kubernetes in production. - Familiarity with GPU and LLM infrastructure — e.g., PyTorch, DeepSpeed/FSDP, Ray, CUDA/NCCL, vLLM; able to debug across the data, infrastructure, and GPU layers. - Demonstrated ability to harden complex systems for reliability, throughput, and cost efficiency. - BS in Computer Science or a related field (MS/PhD a plus). - (Bonus) Hands-on LLM post-training / modeling experience — the strongest candidates pair deep infra skills with real post-training intuition. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact? For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com http://careers.snowflake.com", "summaryDescription" : "Senior Software Engineer — LLM Post-Training Platform at Snowflake. Skills: LLM post-training, ML infrastructure, Distributed systems. Design across full stack. Build across full stack", "createdAt" : "2026-06-14T18:48:30.350", "lastUpdated" : "2026-06-16T01:59:52.589", "ingestTimestamp" : "2026-06-14T18:48:30.350", "mongoId" : "6a2c750074d8ee00a0935d88", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 287500, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Distributed systems", "Fault tolerance", "ML infrastructure", "LLM post-training", "System design", "Performance tuning", "Capacity planning", "LLMs", "ML workloads", "Foundation models", "SFT", "RL workflows", "GPU compute", "Multi-node training", "Inference", "DeepSpeed", "FSDP", "Ray", "Kubernetes" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7a7374d8ee00a094582a", "title" : "Manager in Training", "company" : "Penn Square", "industry" : "Retail", "salary" : { "min" : 22.0, "max" : 22.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Oklahoma City, OK, United States", "locations" : [ "Oklahoma City", "OK", "United States" ], "timestamp" : "2026-06-15T10:19:11.010", "fingerprint" : "b2a94c2b86c750239304a3da9354232f2f3a4cf45992c3c4fcc20e0d895b0009", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/internaljobsatlush/jobs/8003838", "externalId" : "8003838", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Oklahoma City", "state" : "Oklahoma", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "35.4729886,-97.5170536" } ], "locationText" : "Oklahoma City, Oklahoma, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "Excel, Microsoft suite", "professionalSkills" : [ "Sales", "Client relationships", "Revenue generation", "Deal closure", "Coaching", "Leading by example", "Recruitment", "Hiring", "Succession planning", "Staff development", "Performance management", "Ordering", "Merchandising" ], "hardSkillsList" : [ "Time management", "Inventory management", "Scheduling", "Payroll accuracy" ], "softSkillsList" : [ "Leadership", "Critical thinking" ], "hardSkills" : [ { "name" : "Time management", "level" : "intermediate" }, { "name" : "Inventory management", "level" : "intermediate" }, { "name" : "Scheduling", "level" : "intermediate" }, { "name" : "Payroll accuracy", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" } ], "majorSkills" : "Sales, Team leadership, Retail operations", "majorSkillsList" : [ "Sales", "Team leadership", "Retail operations" ], "coreResponsibilities" : "Support sales growth, Coach team, Lead by example, Engage team, Build peer relationships, Build customer relationships, Support shop staffing, Network within markets, Recruit staff, Hire staff, Succession plan staff, Collaborate on staff plans, Improve staff engagement, Improve staff retention, Improve staff performance, Support DEIB practices, Keep shop compliant, Ensure staff practice standards, Manage ordering, Ensure product availability, Maintain work environment, Follow merchandising standards, Provide customer experience, Drive sales, Ensure staff scheduling, Allocate breaks, Record breaks", "teamCollaboration" : "Work with Store Manager; Collaborate with Manager; Work with inventory team; Develop team", "projectManagementSkills" : [ "Scheduling" ], "domainKnowledge" : "Skincare; Natural beauty; Ethical business; Fresh standards; DEIB practices", "domainList" : [ "skincare", "natural-beauty", "ethical-business", "fresh-standards", "deib-practices" ], "domainSpecificKnowledge" : [ "Skincare", "Natural beauty", "Ethical business", "Fresh standards", "DEIB practices" ], "toolProficiency" : [ "Excel", "Microsoft suite" ], "communicationSkills" : "Feedback", "continuousLearning" : "Opportunity for growth", "problemSolvingSkills" : "Troubleshooting", "specialRequirements" : "Flexible hours, Evenings, Weekends, Holidays", "outcomesObjectives" : "Exceed sales goals", "qualificationsBasic" : "1-3 years managing retail, Excellent listening skills, Excellent communication skills, Excellent analytical skills, Excellent critical thinking skills, Excellent troubleshooting skills, Excellent organization skills, Excellent time management skills, Customer service skills, Supervisory skills, Sales skills, Knowledge of skincare, Knowledge of natural beauty, Knowledge of ethical business, Ability to work flexible hours", "qualificationsPreferred" : "Experience with consultation-based customer service, Ability to develop staff, Ability to train staff, Proficient in Excel, Proficient in Microsoft suite, Adaptable to other systems, Basic HR skills, Experience in cross cultural collaboration, DEIB training, Social justice training, Fluency in Spanish, Fluency in French", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Position: Manager in Training Hours: 40 Weekly Ever wondered what it’s like behind the bubbles? #lushcareers Lush North America has been creating fresh and handmade cosmetics for the past 20 years- keeping our customers’ bathtubs and showers a little more magical through our retail shops across Canada and the US. We are dedicated to the practices of fair trade sourcing and supporting sustainable communities as well as giving back to organizations that can make a difference. We Offer: A fun and funky store atmosphere where individualism is encouraged A 50% discount off all our products to keep you smelling and feeling fresh An unconventional retail structure to support your entrepreneurial spirit The opportunity for growth as Lush loves to promote from within Manager in Training As Manager in Training, you bring Lush’s Leadership Practices into all elements of your business interactions with customers, fellow staff and operations: Be Real, Be Curious, Lead Fearlessly, Adapt and Evolve, Grow Talent, and Live with Purpose. The MIT supports the Store Manager as needed in all business areas and as delegated by their Retailer; as second-in-command, the MIT will pick up Manager duties as required to support a strong customer experience, staff experience, shop operational excellence, and exceeding sales goals. Responsibilities: Sales and supporting the growth of your team through coaching and leading by example. Be Real: with your needs and feedback for your team and leaders and adaptable to the needs of the business as required Live with Purpose: engage your team at every level of your business to ensure they are inspired, motivated and building strong peer and customer relationships and are connected to the brand values Recruitment and Selection: Support the staffing of your shop with top-performing staff by working actively within your markets to network, recruit, hire and succession plan. Staff Development: collaborate with your Manager on creating and executing plans that improve staff engagement, retention, performance, and Diversity, Equity, Inclusion and Belonging practices. Operational Excellence: Policies and Procedures: Support your manager to keep your shop complaint and ensure your staff are practicing company standards for opening and closing, product integrity, respectful workplace, health and safety and daily communication. · Stock and Inventory: Support the training of your inventory team to abide by fresh standards and rotation rules and manage ordering to ensure the right products, in the right amounts are in the store at the right times within your allocated budget. Visuals and Merchandising: Identify and support the development of your team to take pride in a clean and beautiful work environment and follow the merchandising and design standards to provide a consistent customer experience and drive sales. Scheduling, Time and Attendance: ensure the right number of staff with the right skill levels are scheduled at peak times and that breaks and meals are allocated and recorded appropriately to ensure staff wellbeing and payroll accuracy. Qualifications: Required: 1-3 years managing or supervising in a retail environment Excellent listening and communication skills  Excellent analytical, critical thinking and troubleshooting skills.  Excellent organization and time management skills Strong customer service, supervisory and sales skills Knowledge and interest in skincare, natural beauty and ethical business Ability to work flexible hours to meet the needs of the shop including holidays, evenings and weekends Preferred: Experience with consultation-based customer service models Ability to develop and train staff through positive coaching and feedback Proficient in excel, Microsoft suit, and adaptable to other systems as required Basic HR skills in hiring, scheduling, training, and performance management Experience in cross cultural collaboration and DEIB or social justice training Fluency in Spanish, French or other languages At Lush, we believe when we continue to foster a culture of inclusion and respect within a diverse workforce, we are doing our part in building a world where there is equal opportunity for all. We recruit from a variety of employment agencies, community groups, non-profits, and online social and job sites, and in our business practices, strive to leverage the gift that diversity brings. Lush North America unequivocally supports equal opportunity employment for all applicants regardless of religion, race, color, gender identity or expression, sexual orientation, ancestry, ability, adverse mental health, and other characteristics both defined, protected and enforced by the law under federal or provincial/state jurisdiction. Penn Square Pay $22—$22 USD Best of luck on your job search, and don't forget to follow us to learn more! We Are Lush YouTube LinkedIn Lush Cosmetics North America respectfully recognizes that our business operates on Indigenous territory across Turtle Island. As a business headquartered in Canada, our largest facilities are located on the unceded territories of the Musqueam, Squamish and Tsleil-Waututh, as well as here on the lands of the Mississaugas of the Credit, Anishnabeg, Chippewa, Haudenosaunee and Wendat, and now home to many diverse First Nations, Inuit and Métis peoples. Our commitment to reconciliation and decolonization is guided by the Truth and Reconciliation Commission of Canada: Calls to Action #92. We recognize that our facilities, along with our settler and newcomer staff are guests on this land and as we act to repair past harm, we do it together in allyship with Indigenous People everywhere, including staff, customers and with leadership from organizations and communities we work with.", "summaryDescription" : "Manager in Training at Penn Square. Skills: Sales, Team leadership, Retail operations. Support sales growth. Coach team", "postedDate" : "2026-06-14T08:13:58.367", "createdAt" : "2026-06-14T08:13:58.367", "lastUpdated" : "2026-06-15T10:19:11.010", "ingestTimestamp" : "2026-06-14T08:13:58.367", "mongoId" : "6a2c7a7374d8ee00a094582a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 22, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Time management", "Inventory management", "Scheduling", "Payroll accuracy", "Leadership", "Critical thinking", "Sales", "Team leadership", "Retail operations", "Client relationships", "Revenue generation", "Deal closure", "Coaching", "Leading by example", "Recruitment", "Hiring", "Succession planning", "Staff development", "Performance management", "Ordering", "Merchandising", "Skincare", "Natural beauty", "Ethical business", "Fresh standards", "DEIB practices", "Excel", "Microsoft suite" ], "skillCount" : 28, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a8fec74d8ee00a068a6b4", "title" : "Mathematics AI Training Expert - PhD - (Czech Republic)", "industry" : "STEM ", "salary" : { "min" : 40.0, "max" : 40.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Czech Republic", "locations" : [ "Czech Republic" ], "timestamp" : "2026-06-13T16:19:36.867", "fingerprint" : "d2f0d46636eac836fbdf8f92168dcd1e284d5a43b6833011a85ae0f26cdcb1fd", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/anyone-ai/d3d22e8b-4d32-43a8-b5c6-eded6e3a0a58/application", "externalId" : "d3d22e8b-4d32-43a8-b5c6-eded6e3a0a58", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "minimumEducation" : "PhD", "technicalSkills" : "Python, numpy, scipy, pandas", "professionalSkills" : [ "Mathematical modeling", "Proof-based reasoning", "Applied mathematics", "Computational mathematics", "Mathematical reasoning" ], "hardSkillsList" : [ "Numerical methods", "Computational approaches" ], "hardSkills" : [ { "name" : "Numerical methods", "level" : "intermediate" }, { "name" : "Computational approaches", "level" : "intermediate" } ], "majorSkills" : "Mathematics, AI Training, Problem Design", "majorSkillsList" : [ "Mathematics", "AI Training", "Problem Design" ], "coreResponsibilities" : "Design advanced mathematical problems, Create deterministic problems, Write complete solutions, Document the reasoning process, Develop problems testing reasoning, Build computational workflows, Ensure outputs are precise, Ensure outputs are reproducible, Ensure outputs are well-written", "domainKnowledge" : "Frontier AI models; Technical domains", "domainList" : [ "frontier-ai-models", "technical-domains" ], "domainSpecificKnowledge" : [ "Frontier AI models", "Technical domains" ], "communicationSkills" : "Technical writing", "documentationSkills" : "Document reasoning process", "innovationCreativity" : "Design original problems", "problemSolvingSkills" : "Mathematical reasoning", "qualificationsBasic" : "Master's or PhD, mathematical modeling experience, proof-based reasoning experience, applied mathematics experience, computational mathematics experience, Python comfort, numpy, scipy, pandas comfort, Solid grasp of algorithms, Solid grasp of numerical methods, Solid grasp of computational approaches, Ability to design original problems, Excellent attention to detail, Technical writing skills in English", "qualificationsPreferred" : "Experience with symbolic math systems, Experience with theorem provers, Experience with optimization solvers, Experience with mathematical software, Background in olympiad-level problem design, Background in graduate-level problem design, Background in research-level problem design, Experience evaluating model reasoning, Experience benchmarking model reasoning, Experience with technical assessment design", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Help shape the future of AI by designing challenging math problems that test and improve reasoning in cutting-edge models. - Location: Remote - Type: Contract / Part-time - Commitment: 20 hours per week - Compensation: Up to 40 USD / hr - Project duration: 2 months, with potential extension - Availability: Immediate start ABOUT THE ROLE We create high-quality STEM training data for frontier AI models. Our data is used directly in training and evaluation pipelines at leading AI labs to improve model reasoning in technical domains. We are looking for experts in Mathematics to design rigorous, deterministic problems that are genuinely challenging for state-of-the-art AI systems. Each problem must have exactly one verifiable correct answer and be submitted together with a complete, verified solution. WHAT YOU’LL DO - Design advanced mathematical problems for frontier AI training and evaluation - Create deterministic problems with exactly one correct answer - Write complete, verified solutions and clearly document the reasoning process - Develop problems that test deep mathematical reasoning, not just memorization - Where relevant, use Python or specialized tools to build computational workflows - Ensure all outputs are technically precise, reproducible, and well-written in English WHAT WE’RE LOOKING FOR - Master’s or PhD in Mathematics or a closely related field - Strong research or industry experience involving mathematical modeling, proof-based reasoning, applied mathematics, or computational mathematics - Strong Python skills; comfort with libraries such as numpy, scipy, pandas, or similar - Solid grasp of algorithms, numerical methods, and computational approaches - Ability to design original, difficult problems that mirror real mathematical workflows - Excellent attention to detail and technical writing skills in English NICE TO HAVE - Experience with symbolic math systems, theorem provers, optimization solvers, or other mathematical software - Background in olympiad-level, graduate-level, or research-level problem design - Experience evaluating model reasoning, benchmarking, or technical assessment design", "summaryDescription" : "Mathematics AI Training Expert - PhD - (Czech Republic). Skills: Mathematics, AI Training, Problem Design. Design advanced mathematical problems. Create deterministic problems", "postedDate" : "2026-06-11T17:59:36.117", "createdAt" : "2026-06-11T17:59:36.117", "lastUpdated" : "2026-06-13T16:19:36.867", "ingestTimestamp" : "2026-06-11T17:59:36.117", "mongoId" : "6a2a8fec74d8ee00a068a6b4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 40, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Numerical methods", "Computational approaches", "Mathematics", "AI Training", "Problem Design", "Mathematical modeling", "Proof-based reasoning", "Applied mathematics", "Computational mathematics", "Mathematical reasoning", "Frontier AI models", "Technical domains" ], "skillCount" : 12, "jobCategory" : "other", "jobSubcategory" : "stem-", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2c6d0574d8ee00a091cc6b", "title" : "Applied ML/CS PhD Internship (6+ months)", "company" : "Cartesian Systems", "industry" : "Retail", "salary" : { "min" : 60000.0, "max" : 90000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in the technology industry in Cambridge, MA, adjusted for company size and specific role." }, "location" : "Cambridge, Massachusetts, United States", "locations" : [ "Cambridge", "Massachusetts", "United States" ], "timestamp" : "2026-06-15T06:02:44.641", "fingerprint" : "6052e9604d1cb1e958ce7af3be5a33ad856f8f54e5d274704197a5b69695cb96", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cartesiansystems/jobs/4187601009", "externalId" : "4187601009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cambridge", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3656347,-71.1040018" } ], "locationText" : "Cambridge, Massachusetts, United States", "employmentType" : "INTERNSHIP", "minimumEducation" : "PhD", "technicalSkills" : "Machine learning, Perception, Estimation, Signal processing, Spatial AI, Computer vision, Sensor fusion", "professionalSkills" : [ "Algorithm development", "Algorithm improvement", "ML pipelines", "Signal processing pipelines" ], "hardSkillsList" : [ "Indoor positioning", "Spatial perception", "ML modeling", "ML evaluation", "ML deployment" ], "softSkillsList" : [ "Curiosity" ], "hardSkills" : [ { "name" : "Indoor positioning", "level" : "intermediate" }, { "name" : "Spatial perception", "level" : "intermediate" }, { "name" : "ML modeling", "level" : "intermediate" }, { "name" : "ML evaluation", "level" : "intermediate" }, { "name" : "ML deployment", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curiosity" } ], "majorSkills" : "Spatial intelligence, Machine learning, Perception, Signal processing", "majorSkillsList" : [ "Spatial intelligence", "Machine learning", "Perception", "Signal processing" ], "coreResponsibilities" : "Explore research directions, Develop algorithms, Improve algorithms, Run experiments, Collect data, Analyze failures, Propose fixes, Validate improvements, Contribute to production pipelines, Ship features", "teamCollaboration" : "Collaborate with engineering; Collaborate with product", "domainKnowledge" : "Indoor positioning; Spatial AI; Spatial perception; Sensor fusion; Signal processing; Retail industry", "domainList" : [ "indoor-positioning", "spatial-ai", "spatial-perception", "sensor-fusion", "signal-processing", "retail-industry" ], "domainSpecificKnowledge" : [ "Indoor positioning", "Spatial AI", "Spatial perception", "Sensor fusion", "Signal processing", "Retail industry" ], "communicationSkills" : "Communication skills", "innovationCreativity" : "Research directions", "problemSolvingSkills" : "Analyze failures; Propose fixes; Validate improvements", "outcomesObjectives" : "Ship changes to customers; Drive new research directions; Impact deployed product; Ship features to enterprise customers", "qualificationsBasic" : "PhD program enrollment, Machine learning foundations, Perception foundations, Sensor fusion foundations, Signal processing foundations, Research track record, Excellent communication skills, Ability to work in small team, Ownership, Bias toward action, Bias toward real-world impact", "qualificationsPreferred" : "Startup experience, Early-stage company experience, Experience shipping products, Spatial AI experience, 3D vision experience, SLAM experience, Mapping experience, Geometric deep learning experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Cartesian Cartesian is building spatial intelligence for indoor environments to drive operational efficiency. We’re tackling one of the biggest challenges in the $35T global retail industry: in-store inventory visibility. Our platform delivers accurate indoor positioning and actionable product location insights, helping retailers streamline operations, optimize workflows, and reduce inefficiencies. By fusing wireless signals and mobile computer vision, we provide a uniquely scalable, infrastructure-free solution already deployed by international fashion brands. Founded by an MIT engineering professor and alumni behind award-winning, patented core technologies, Cartesian spun out in 2023. Originally backed by a U. S. National Science Foundation SBIR Award, we’ve bootstrapped to a live product now deployed in multiple countries and are scaling aggressively. About the Role We are looking for an Applied ML/CS PhD intern to join Cartesian at an exciting moment in our growth. This internship is a chance to contribute to core algorithms, dig deep into a deployed product, and ship changes that reach enterprise customers, while also driving new research directions in spatial AI. This is a hands-on role at the intersection of machine learning, perception, estimation, and signal processing, with direct impact on a deployed enterprise product. You’ll gain exposure to the full journey of research in production, working in a fast-paced, hands-on environment where your work makes a tangible impact. This internship is product- and impact-driven. Due to the IP-sensitive nature of the core models and algorithms, the internship is not expected to involve publications. Location: In-person at the Cartesian HQ in Kendall Square, Cambridge. Internship type: Full-time, PhD internship Duration and timing: 12–24 weeks, Summer 2026; flexible start dates What You’ll Do Explore new research directions in sensor fusion and spatial AI aligned with product needs Develop and improve algorithms for indoor positioning and spatial perception Run experiments on real-world customer deployments: collect data, analyze failures, propose fixes, and validate improvements Contribute to production ML and signal processing pipelines (modeling, evaluation, deployment) Collaborate with engineering and product to ship features to enterprise customers Qualifications Currently enrolled in a PhD program in Computer Science, Electrical Engineering, Robotics, or a related field. Research track record of published work in top-tier CS/ML, vision, robotics, or related venues. Strong foundations in at least one of: machine learning, perception, sensor fusion, and/or signal processing. Demonstrated research output (e.g., strong publications, open-source projects, or impactful applied work) Excellent communication skills and ability to work in a small, fast-moving team. Curiosity, ownership, and a bias toward action and real-world impact Nice to Have Startup or early-stage company experience Experience shipping products (e.g., part of internships) Experience or strong interest in spatial AI (3D vision, SLAM, mapping, sensor fusion, geometric deep learning, …) is highly desirable. Why Cartesian Work on hard, real-world problems with immediate and visible impact Join a small, highly technical team with significant ownership and autonomy Build systems that are deployed and used globally Collaborative, thoughtful, low-ego culture focused on learning and execution In-person team culture in the heart of Kendall Square, Cambridge Interview Process Introductory call to assess motivation and overall fit (20m) Technical interview focused on past projects (60m) Technical design interview (45m) Coding interview (45m) Meet Prof. Fadel Adib (20m) Meet the team and references", "summaryDescription" : "Applied ML/CS PhD Internship (6+ months) at Cartesian Systems. Skills: Spatial intelligence, Machine learning, Perception, Signal processing. Explore research directions. Develop algorithms", "postedDate" : "2026-06-13T16:37:39.042", "createdAt" : "2026-06-13T16:37:39.042", "lastUpdated" : "2026-06-15T06:02:44.641", "ingestTimestamp" : "2026-06-13T16:37:39.042", "mongoId" : "6a2c6d0574d8ee00a091cc6b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 60000, "salaryAnnualMax" : 90000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Indoor positioning", "Spatial perception", "ML modeling", "ML evaluation", "ML deployment", "Curiosity", "Spatial intelligence", "Machine learning", "Perception", "Signal processing", "Algorithm development", "Algorithm improvement", "ML pipelines", "Signal processing pipelines", "Spatial AI", "Sensor fusion", "Retail industry" ], "skillCount" : 17, "jobCategory" : "other", "jobSubcategory" : "r&d", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail" }, { "id" : "6a2ca55f74d8ee00a09b60c3", "title" : "Operations In-Training", "company" : "1-800-GOT-JUNK?", "industry" : "Logistics", "salary" : { "min" : 12.0, "max" : 26.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Salt Lake City, Utah, United States", "locations" : [ "Salt Lake City", "Utah", "United States" ], "timestamp" : "2026-06-15T09:30:12.072", "fingerprint" : "a11d83909d841ad541c292d9110911df2b16b6d88f634f1f401dd954f7d4b8e3", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/1800gotjunk/jobs/4277799009", "externalId" : "4277799009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Salt Lake City", "state" : "Utah", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7596198,-111.8867970" } ], "locationText" : "Salt Lake City, Utah, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Microsoft Office", "professionalSkills" : [ "Sales closing", "Maximizing job value", "Route planning", "Scheduling", "Service delivery", "Operational performance", "Customer satisfaction metrics", "Local outreach", "Customer acquisition" ], "hardSkillsList" : [ "Heavy lifting", "Light lifting" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Heavy lifting", "level" : "intermediate" }, { "name" : "Light lifting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Sales, Operations, Customer experience", "majorSkillsList" : [ "Sales", "Operations", "Customer experience" ], "coreResponsibilities" : "Deliver exceptional service, WOW our customers, Drive trucks safely, Load trucks safely, Lead a team, Train a team, Motivate a team, Perform heavy lifting, Perform light lifting, Clear junk from locations, Manage daily operations, Monitor operational performance, Improve operational performance, Monitor customer satisfaction metrics, Improve customer satisfaction metrics, Represent our brand, Collaborate with marketing, Participate in role-play scenarios, Support training, Support skill development, Support performance improvement", "teamCollaboration" : "Team of drivers; Team of crew members; Marketing team", "domainKnowledge" : "Home services", "domainList" : [ "home-services" ], "domainSpecificKnowledge" : [ "Home services" ], "toolProficiency" : [ "Microsoft Office", "Operational software" ], "communicationSkills" : "Professional communication; Solution-driven communication", "continuousLearning" : "Ongoing training; Skill development; Performance improvement; Professional growth; Ongoing development", "specialRequirements" : "Lift at least 75+ lbs repeatedly", "outcomesObjectives" : "Achieve business goals; Ensure excellent service delivery", "qualificationsBasic" : "1+ years in Logistics, 1+ years in KPI’s, 1+ years in Sales, 1+ years in Dispatch, 1+ years in Fleet, 1+ years in Management, 21+ years of age, Valid driver's license, Leadership and team-building skills, Work in a fast-paced environment, Manage multiple priorities, Work in our trucks, Lift at least 75+ lbs repeatedly, Proficient in Microsoft Office, Proficient in operational software, Customer service experience", "qualificationsPreferred" : "Experience in delivery, Experience in warehouse, Experience in retail, Experience in hospitality, Experience in sales, Experience in customer service, Experience in general labor", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build a high-energy career where every day is different? Join our Field Sales & Service Team and help us deliver exceptional customer moments and powerful service experiences. We're Southwind— the highest-performing 1-800-GOT-JUNK? franchise group — built on integrity, accountability, and investing in people. About Us: At 1-800-GOT-JUNK?, we're a fast-paced and fun operation that helps people in our community get rid of unwanted items responsibly. We do it like no one else with our professional, on-time service and friendly uniformed team. We're hiring ambitious, outgoing and active individuals who are committed to providing exceptional customer experiences. Position: Customer Experience Leader (Operations In-Training) As a Customer Experience Leader training in Operations, you will be trained at all levels to be fast tracked from Customer Experience Leader to Certified Sales Leader to Senior Sales Leader to Operations. Where you will oversee daily logistics, route planning, and scheduling to ensure excellent service delivery, and manage our team of drivers and crew members. Your leadership will be critical in maintaining our high standards and achieving business goals. What We’re Looking For: Sales-Minded: Confident closing on-site sales and maximizing job value People-Focused: Personable, positive, and service-oriented Reliable & Coachable: Shows up, contributes, and adapts Strong Communicator: Clear, professional, and solution-driven Experience in delivery, warehouse, retail, hospitality, sales, customer service or general labor is a plus. What You'll Do: Deliver Exceptional Service: WOW our customers with your positive attitude and outstanding service. Drive and Load Trucks Safely: Lead, train, and motivate a team of drivers and crew members on client sites to ensure efficient and safe truck operations. Handle Junk Removal: Perform both heavy and light lifting to clear junk from residential and commercial locations. Manage Efficiency: Manage daily operations, monitor and improve operational performance and customer satisfaction metrics. Represent Our Brand: Collaborate with marketing to drive local outreach and customer acquisition. Development: Participate in daily recorded role-play scenarios to support ongoing training, skill development, and performance improvement. Why Us? Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Competitive payment structure averaging $26/hr ($12/hr + Profit Share + Performance-Based Bonuses) Full Time Hours consisting of 4 weekday Shifts + 1 weekend shift Opportunities for professional growth and development. Enjoy dynamic, engaging workdays with varied responsibilities. Award-winning workplace (\"Best Placesto Work\" and \"Fast 50 Company\"). Full benefits package with Medical/Vision/Dental coverage and retirement options. Requirements 1+ years in Logistics, KPI’s, Sales, Dispatch, Fleet, and/or Management 21+ years of age and a valid driver's license (required for insurance purposes) Strong leadership and team-building skills. Ability to work in a fast-paced environment, manage multiple priorities, and work in our trucks as needed. Able to lift at least 75+ lbs repeatedly! Proficient in Microsoft Office and operational software. Strong customer service experience. This job description outlines the key responsibilities, qualifications, and skills required for the position at 1-800-GOT-JUNK?. The specific responsibilities and qualifications may vary based on the company's needs and industry requirements. Southwind and its group of companies are proud to be an Equal Opportunity, Affirmative Action, Veteran-friendly employer Southwind encourages team members to lead with innovation and purpose. We're a company built on integrity, teamwork, and ongoing development. Join us and help redefine home services. Apply Now!", "summaryDescription" : "Operations In-Training at 1-800-GOT-JUNK?. Skills: Sales, Operations, Customer experience. Deliver exceptional service. WOW our customers", "postedDate" : "2026-06-14T06:24:36.695", "createdAt" : "2026-06-14T06:24:36.695", "lastUpdated" : "2026-06-15T09:30:12.072", "ingestTimestamp" : "2026-06-14T06:24:36.695", "mongoId" : "6a2ca55f74d8ee00a09b60c3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 24960, "salaryAnnualMax" : 54080, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Heavy lifting", "Light lifting", "Leadership", "Sales", "Operations", "Customer experience", "Sales closing", "Maximizing job value", "Route planning", "Scheduling", "Service delivery", "Operational performance", "Customer satisfaction metrics", "Local outreach", "Customer acquisition", "Home services", "Microsoft Office", "Operational software" ], "skillCount" : 18, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a309199f292fd229c0bf692", "title" : "PhD Scholarship: Development and validation of novel biomarkers for musculoskeletal health", "company" : "Griffith University", "industry" : "Higher Education", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a PhD scholarship in Australia, adjusted for entry-level seniority and the healthcare industry in Nathan." }, "location" : "Nathan, QLD, Australia", "locations" : [ "Nathan", "QLD", "Australia" ], "timestamp" : "2026-06-16T12:39:23.196", "fingerprint" : "528350bbdb0bbc1e6509693de6598282b47d76043897ef91cac05bbbc0f5d58b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/GriffithUniversity/744000132292129-phd-scholarship-development-and-validation-of-novel-biomarkers-for-musculoskeletal-health", "externalId" : "744000132292129", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nathan", "state" : "Queensland", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-27.5485110,153.0523165" } ], "locationText" : "Nathan, Queensland, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceLevel" : "not-applicable", "technicalSkills" : "Python, R, SQL", "professionalSkills" : [ "Biomarker discovery", "Biosensor development", "Translational medicine", "Proteomics", "Protein work", "RNA work" ], "hardSkillsList" : [ "Protein assays", "RNA assays", "Statistical analysis" ], "softSkillsList" : [ "Collaborative skills" ], "hardSkills" : [ { "name" : "Protein assays", "level" : "intermediate" }, { "name" : "RNA assays", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Collaborative skills" } ], "majorSkills" : "Biomarker validation, Musculoskeletal health, Non-invasive detection", "majorSkillsList" : [ "Biomarker validation", "Musculoskeletal health", "Non-invasive detection" ], "coreResponsibilities" : "Develop novel biomarkers, Validate novel biomarkers, Focus on non-invasive detection, Develop point-of-use biosensors, Partner with Australian Shoulder Research Institute, Develop tools for biomarker discovery, Work at intersection of translational medicine, Involve extensive protein work, Involve extensive RNA work", "teamCollaboration" : "Interdisciplinary environment; Clinical research teams; Laboratory research teams", "domainKnowledge" : "Metabolic diseases; Cancer biomarkers; Precision health; Musculoskeletal health; Molecular biosensors", "domainList" : [ "metabolic-diseases", "cancer-biomarkers", "precision-health", "musculoskeletal-health", "molecular-biosensors" ], "domainSpecificKnowledge" : [ "Metabolic diseases", "Cancer biomarkers", "Precision health", "Musculoskeletal health", "Molecular biosensors" ], "innovationCreativity" : "Advancing biomarker discovery; Cutting-edge tools", "outcomesObjectives" : "Improve precision health", "qualificationsBasic" : "Bachelor degree with Honours equivalent to first class, Master's degree (AQF Level 9) with research component, Medical Laboratory Science background, Pathology background, Molecular Pathology background, Valid Australian Drivers license", "qualificationsPreferred" : "PhD preferred, Experience in multivariate statistical analysis", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Saliva and Liquid Biopsy Group is dedicated to advancing biomarker discovery for metabolic diseases and cancer, with the goal of improving precision health. As a key partner in the ARC Research Hub for Molecular Biosensors at Point-of-Use (MOBIUS), our research focuses on identifying and validating biomarkers and the development of biosensors. The successful PhD applicant will be based at the Institute for Biomedicine and Glycomics (IBG), based at Brisbane South (Nathan) campus of Griffith University and will work within a collaborative and interdisciplinary environment alongside the Australian Shoulder Research Institute. As Griffith is a multi-site University you may be required to work across other locations. Griffith University’s sites are located on the lands of the Yugarabul, Yuggera, Jagera, Turrbal, Yugambeh and Kombumerri peoples. We are currently seeking highly motivated PhD candidates to join our research team at Griffith University. This exciting project is part of the ARC Research Hub for Molecular Biosensors at Point-of-Use (MOBIUS). The successful applicant will focus on the development and validation of novel biomarkers for musculoskeletal health, primarily based at Griffith University (Nathan) and the Australian Shoulder Research Institute (ASRI). Project Highlights: * Focus on non-invasive detection methods and point-of-use biosensors. * Partner with the Australian Shoulder Research Institute to develop cutting-edge tools for biomarker discovery. * Opportunity to work at the intersection of translational medicine, proteomics, and involving extensive protein and RNA work. ## Qualifications The selection of applicants for the award of higher degree research scholarships at Griffith University involves consideration of your academic merit and research background. To be successful in this role, you should have: * A strong academic background in Medical Laboratory Science, Pathology, Molecular Pathology, or a closely related field. * Demonstrated research experience working at the interface with hospital laboratories and working with end users. * Technical proficiency or interest in running protein and RNA assays. * Have a valid Australian Drivers license. * Evidence of collaborative skills and the ability to work effectively with clinical and laboratory-based research teams. * A clear passion for research and a commitment to advancing the field of personalised biomarking, paving the way for precision health. * Expressions of interest are welcome from domestic and international applicants. * Applicants must have completed, or expect to complete, a Bachelor degree with Honours equivalent to first class Honours or a Master’s degree (AQF Level 9) incorporating a significant research component of a standard comparable to a Bachelor Honours degree or be regarded by Griffith University as having an [equivalent level of attainment](https://www.griffith.edu.au/research-study/degrees/equivalent-qualifications-for-hdr-program-admission). For further information on the eligibility requirements for the program, refer [here](https://www.griffith.edu.au/research-study/degrees). Please note : Applicants must have obtained a Master’s degree or an Honours degree in relative fields. A solid background in Medical Laboratory Science, Pathology, Molecular Pathology with an interest in biomarker discovery is required. Some experience in the field of multivariate statistical analysis would be beneficial but is not required. International applicants should ensure that English Language Proficiency requirements for the program are met before formally applying. Applicants to research programs will need to show they meet: * A minimum overall band score of 6.5 on the IELTS (Academic) with no band score less than 6.0 OR * A minimum score of 575 on the paper-based TOEFL including a score of no less than 5.0 on the TWE OR * A score of 79 on the internet-based (iBT) TOEFL with no sub-score less than 19. ## Additional Information About the scholarship The 2026 Griffith University Postgraduate Research Scholarship has an annual stipend of $35,656 (indexed) for a period of up to three years of full-time study. Please see the [GUPRS Conditions of Award](https://www.griffith.edu.au/research-study/scholarships/guprs) for more information. A successful international applicant will also be awarded a Griffith University International Postgraduate Research Scholarship to cover tuition fees for up to three years. Please see the [GUIPRS Conditions of Award](https://www.griffith.edu.au/research-study/scholarships/guiprs) for more information. What Griffith offers As a scholarship holder, you will study at a University that ranks among the top 2% worldwide and spans across campuses in South East Queensland. At Griffith University, we’ve worked hard to create a culture that will challenge you to be curious, creative and courageous. We also support the professional and personal development of all our HDR candidates and invest in the skills of our people. Griffith University values diversity, inclusion and flexibility and we encourage Aboriginal and Torres Strait Islander and people of all backgrounds to apply. Griffith's strategic goals are to also increase the proportion of women in senior academic and administrative roles and in Science, Technology, Engineering, Mathematics and Medicine (STEMM). EOI Process Please do not select the “APPLY” button. All expressions of interest must be submitted to [c.punyadeera@griffith.edu.au](mailto:c.punyadeera@griffith.edu.au) containing: * Statement addressing your suitability for the project/scholarship * Research proposal * Evidence that you have completed a program with the required grades as detailed in the About you section * A curriculum vitae (CV) using the [Griffith CV template](https://www.griffith.edu.au/data/assets/pdffile/0023/312746/Standard-Academic-CV-Template-GGRSincl-creative-outputs.pdf) * Names of two referees Closing date for expressions of interest is : Sunday 21 June 2026, 11.59pm AEST Please note - To be considered for PhD scholarship, you will need to address the selection criteria along with the CV and send it to Professor Punyadeera. EOIs received without addressing the selection criteria will not be considered. The preferred applicant will then be invited to apply for the program and scholarship on-line. For project related enquiries please contact: Professor Chamindie Punyadeera Phone: (07) 373 53660 Email: [c.punyadeera@griffith.edu.au](mailto:c.punyadeera@griffith.edu.au) For administration enquiries please contact: Griffith Graduate Research School Phone: (07) 3735 3817 Email: [hdr-scholarship@griffith.edu.au](mailto:hdr-scholarship@griffith.edu.au)", "summaryDescription" : "PhD Scholarship: Development and validation of novel biomarkers for musculoskeletal health at Griffith University. Skills: Biomarker validation, Musculoskeletal health, Non-invasive detection. Develop novel biomarkers. Validate novel biomarkers", "postedDate" : "2026-06-15T22:16:21.000", "createdAt" : "2026-06-16T03:33:12.016", "lastUpdated" : "2026-06-16T12:39:23.196", "ingestTimestamp" : "2026-06-16T03:33:12.016", "mongoId" : "6a309199f292fd229c0bf692", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Protein assays", "RNA assays", "Statistical analysis", "Collaborative skills", "Biomarker validation", "Musculoskeletal health", "Non-invasive detection", "Biomarker discovery", "Biosensor development", "Translational medicine", "Proteomics", "Protein work", "RNA work", "Metabolic diseases", "Cancer biomarkers", "Precision health", "Molecular biosensors" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3080f9f292fd229c068597", "title" : "PhD Scholarship: Development and validation of novel biomarkers for musculoskeletal health", "company" : "Griffith University", "industry" : "Higher Education", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "AUD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a PhD scholarship in Australia, adjusted for entry-level seniority and the healthcare industry in Nathan." }, "location" : "Nathan, QLD, Australia", "locations" : [ "Nathan", "QLD", "Australia" ], "timestamp" : "2026-06-16T14:54:18.130", "fingerprint" : "59398f4c830b7f9928f603b5f40052d0fab01f226be3a6d22bb39b3a1a8b266d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/GriffithUniversity/744000132292129-phd-scholarship-development-and-validation-of-novel-biomarkers-for-musculoskeletal-health", "externalId" : "744000132292129", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nathan", "state" : "Queensland", "country" : "Australia", "continent" : "oc", "source" : "llm", "workMode" : "onsite", "geo" : "-27.5485110,153.0523165" } ], "locationText" : "Nathan, Queensland, Australia", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceLevel" : "not-applicable", "technicalSkills" : "Python, R, SQL", "professionalSkills" : [ "Biomarker discovery", "Biosensor development", "Translational medicine", "Proteomics", "Protein assays", "RNA assays" ], "hardSkillsList" : [ "Statistical analysis", "Protein assays", "RNA assays" ], "softSkillsList" : [ "Collaborative skills" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Protein assays", "level" : "intermediate" }, { "name" : "RNA assays", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Collaborative skills" } ], "majorSkills" : "Biomarker discovery, Musculoskeletal health, Biosensors", "majorSkillsList" : [ "Biomarker discovery", "Musculoskeletal health", "Biosensors" ], "coreResponsibilities" : "Develop novel biomarkers, Validate novel biomarkers, Focus on non-invasive detection methods, Develop point-of-use biosensors, Work at intersection of translational medicine, Conduct extensive protein work, Conduct extensive RNA work", "teamCollaboration" : "Interdisciplinary environment; Clinical and laboratory teams", "domainKnowledge" : "Metabolic diseases; Cancer biomarkers; Precision health; Musculoskeletal health; Molecular biosensors", "domainList" : [ "metabolic-diseases", "cancer-biomarkers", "precision-health", "musculoskeletal-health", "molecular-biosensors" ], "domainSpecificKnowledge" : [ "Metabolic diseases", "Cancer biomarkers", "Precision health", "Musculoskeletal health", "Molecular biosensors" ], "innovationCreativity" : "R&D projects", "qualificationsBasic" : "Bachelor degree with Honours equivalent to first class, Master's degree (AQF Level 9) with research component, Medical Laboratory Science background, Pathology background, Molecular Pathology background, Valid Australian Drivers license", "qualificationsPreferred" : "PhD preferred, Experience in multivariate statistical analysis", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Saliva and Liquid Biopsy Group is dedicated to advancing biomarker discovery for metabolic diseases and cancer, with the goal of improving precision health. As a key partner in the ARC Research Hub for Molecular Biosensors at Point-of-Use (MOBIUS), our research focuses on identifying and validating biomarkers and the development of biosensors. The successful PhD applicant will be based at the Institute for Biomedicine and Glycomics (IBG), based at Brisbane South (Nathan) campus of Griffith University and will work within a collaborative and interdisciplinary environment alongside the Australian Shoulder Research Institute. As Griffith is a multi-site University you may be required to work across other locations. Griffith University’s sites are located on the lands of the Yugarabul, Yuggera, Jagera, Turrbal, Yugambeh and Kombumerri peoples. We are currently seeking highly motivated PhD candidates to join our research team at Griffith University. This exciting project is part of the ARC Research Hub for Molecular Biosensors at Point-of-Use (MOBIUS). The successful applicant will focus on the development and validation of novel biomarkers for musculoskeletal health, primarily based at Griffith University (Nathan) and the Australian Shoulder Research Institute (ASRI). Project Highlights: * Focus on non-invasive detection methods and point-of-use biosensors. * Partner with the Australian Shoulder Research Institute to develop cutting-edge tools for biomarker discovery. * Opportunity to work at the intersection of translational medicine, proteomics, and involving extensive protein and RNA work. ## Qualifications The selection of applicants for the award of higher degree research scholarships at Griffith University involves consideration of your academic merit and research background. To be successful in this role, you should have: * A strong academic background in Medical Laboratory Science, Pathology, Molecular Pathology, or a closely related field. * Demonstrated research experience working at the interface with hospital laboratories and working with end users. * Technical proficiency or interest in running protein and RNA assays. * Have a valid Australian Drivers license. * Evidence of collaborative skills and the ability to work effectively with clinical and laboratory-based research teams. * A clear passion for research and a commitment to advancing the field of personalised biomarking, paving the way for precision health. * Expressions of interest are welcome from domestic and international applicants. * Applicants must have completed, or expect to complete, a Bachelor degree with Honours equivalent to first class Honours or a Master’s degree (AQF Level 9) incorporating a significant research component of a standard comparable to a Bachelor Honours degree or be regarded by Griffith University as having an [equivalent level of attainment](https://www.griffith.edu.au/research-study/degrees/equivalent-qualifications-for-hdr-program-admission). For further information on the eligibility requirements for the program, refer [here](https://www.griffith.edu.au/research-study/degrees). Please note : Applicants must have obtained a Master’s degree or an Honours degree in relative fields. A solid background in Medical Laboratory Science, Pathology, Molecular Pathology with an interest in biomarker discovery is required. Some experience in the field of multivariate statistical analysis would be beneficial but is not required. International applicants should ensure that English Language Proficiency requirements for the program are met before formally applying. Applicants to research programs will need to show they meet: * A minimum overall band score of 6.5 on the IELTS (Academic) with no band score less than 6.0 OR * A minimum score of 575 on the paper-based TOEFL including a score of no less than 5.0 on the TWE OR * A score of 79 on the internet-based (iBT) TOEFL with no sub-score less than 19. ## Additional Information About the scholarship The 2026 Griffith University Postgraduate Research Scholarship has an annual stipend of $35,656 (indexed) for a period of up to three years of full-time study. Please see the [GUPRS Conditions of Award](https://www.griffith.edu.au/research-study/scholarships/guprs) for more information. A successful international applicant will also be awarded a Griffith University International Postgraduate Research Scholarship to cover tuition fees for up to three years. Please see the [GUIPRS Conditions of Award](https://www.griffith.edu.au/research-study/scholarships/guiprs) for more information. What Griffith offers As a scholarship holder, you will study at a University that ranks among the top 2% worldwide and spans across campuses in South East Queensland. At Griffith University, we’ve worked hard to create a culture that will challenge you to be curious, creative and courageous. We also support the professional and personal development of all our HDR candidates and invest in the skills of our people. Griffith University values diversity, inclusion and flexibility and we encourage Aboriginal and Torres Strait Islander and people of all backgrounds to apply. Griffith's strategic goals are to also increase the proportion of women in senior academic and administrative roles and in Science, Technology, Engineering, Mathematics and Medicine (STEMM). EOI Process Please do not select the “APPLY” button. All expressions of interest must be submitted to [c.punyadeera@griffith.edu.au](mailto:c.punyadeera@griffith.edu.au) containing: * Statement addressing your suitability for the project/scholarship * Research proposal * Evidence that you have completed a program with the required grades as detailed in the About you section * A curriculum vitae (CV) using the [Griffith CV template](https://www.griffith.edu.au/data/assets/pdffile/0023/312746/Standard-Academic-CV-Template-GGRSincl-creative-outputs.pdf) * Names of two referees Closing date for expressions of interest is : Sunday 21 June 2026, 11.59pm AEST Please note - To be considered for PhD scholarship, you will need to address the selection criteria along with the CV and send it to Professor Punyadeera. EOIs received without addressing the selection criteria will not be considered. The preferred applicant will then be invited to apply for the program and scholarship on-line. For project related enquiries please contact: Professor Chamindie Punyadeera Phone: (07) 373 53660 Email: [c.punyadeera@griffith.edu.au](mailto:c.punyadeera@griffith.edu.au) For administration enquiries please contact: Griffith Graduate Research School Phone: (07) 3735 3817 Email: [hdr-scholarship@griffith.edu.au](mailto:hdr-scholarship@griffith.edu.au)", "summaryDescription" : "PhD Scholarship: Development and validation of novel biomarkers for musculoskeletal health at Griffith University. Skills: Biomarker discovery, Musculoskeletal health, Biosensors. Develop novel biomarkers. Validate novel biomarkers", "postedDate" : "2026-06-15T22:16:21.000", "createdAt" : "2026-06-16T01:41:47.641", "lastUpdated" : "2026-06-16T14:54:18.130", "ingestTimestamp" : "2026-06-16T01:41:47.641", "mongoId" : "6a3080f9f292fd229c068597", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Protein assays", "RNA assays", "Collaborative skills", "Biomarker discovery", "Musculoskeletal health", "Biosensors", "Biosensor development", "Translational medicine", "Proteomics", "Metabolic diseases", "Cancer biomarkers", "Precision health", "Molecular biosensors" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "llm training scientific programming in math phd or phd candidates jobs", "metadata" : { "title" : "llm training scientific programming in math phd or phd candidates" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 22929, "totalPages" : 459, "hasNext" : true, "hasPrevious" : false } }

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