{ "count" : 94735, "data" : [ { "id" : "6a2a527d74d8ee00a05faa1d", "title" : "Senior Python Engineer (AI experience)", "company" : "N-iX", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Python Engineer in Europe, adjusted for the technology industry and remote work." }, "location" : "Europe", "locations" : [ "Europe", "Ukraine" ], "timestamp" : "2026-06-13T08:47:30.154", "fingerprint" : "9a0147dfa0d617773acb814307c2297b85f699565cdb904fd6e604b4bce9b914", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.n-ix.com/jobs/4884943101?gh_jid=4884943101", "externalId" : "4884943101", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, FastAPI, Django, Docker, Kubernetes, RESTful APIs, gRPC, API Gateways, Kong, NGINX, PostgreSQL, Weaviate, Milvus, Vector Databases", "professionalSkills" : [ "System design", "Agile software delivery", "Formal audit environments", "High-availability systems", "Auditable systems" ], "hardSkillsList" : [ "Distributed systems", "ML/AI models", "Containerized microservices", "Data access layer", "Data normalization", "RBAC", "PII redaction", "ITAR redaction", "Air-gapped deployment", "On-premise deployment", "Logging", "Tracing", "Monitoring" ], "hardSkills" : [ { "name" : "Distributed systems", "level" : "intermediate" }, { "name" : "ML/AI models", "level" : "intermediate" }, { "name" : "Containerized microservices", "level" : "intermediate" }, { "name" : "Data access layer", "level" : "intermediate" }, { "name" : "Data normalization", "level" : "intermediate" }, { "name" : "RBAC", "level" : "intermediate" }, { "name" : "PII redaction", "level" : "intermediate" }, { "name" : "ITAR redaction", "level" : "intermediate" }, { "name" : "Air-gapped deployment", "level" : "intermediate" }, { "name" : "On-premise deployment", "level" : "intermediate" }, { "name" : "Logging", "level" : "intermediate" }, { "name" : "Tracing", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" } ], "majorSkills" : "Python, AI engineering, Microservices, API design", "majorSkillsList" : [ "Python", "AI engineering", "Microservices", "API design" ], "coreResponsibilities" : "Architect orchestration layer, Coordinate specialized AI workers, Manage state, Manage task routing, Manage error handling, Design routing services, Design classification services, Map user prompts to skills, Map user prompts to playbooks, Ensure deterministic execution, Build scalable microservices, Handle high-concurrency requests, Ensure low-latency responses, Construct data access layer, Enforce strict validation logic, Build connection layers, Ensure transactions authenticated, Ensure transactions authorized, Ensure transactions audited, Develop backend logic, Interface with Vector Databases, Construct connectors for data feeds, Handle rate limiting, Handle caching, Handle data normalization, Implement security services, Implement RBAC, Implement PII redaction, Implement ITAR redaction, Engineer systems for air-gapped deployment, Engineer systems for on-premise deployment, Implement logging mechanisms, Implement tracing mechanisms, Implement monitoring mechanisms", "teamCollaboration" : "Structured delivery model; Enterprise systems; Enterprise data", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "AI transformation; AI engineering platform; Autonomous AI agents; Large Language Models; Enterprise systems; Engineering data; Vector Databases; ERP systems; Data platforms; Air-gapped deployment; On-premise deployment", "domainList" : [ "ai-transformation", "ai-engineering-platform", "autonomous-ai-agents", "large-language-models", "enterprise-systems", "engineering-data", "vector-databases", "erp-systems", "data-platforms", "air-gapped-deployment", "on-premise-deployment" ], "domainSpecificKnowledge" : [ "AI transformation", "AI engineering platform", "Autonomous AI agents", "Large Language Models", "Enterprise systems", "Engineering data", "Vector Databases", "ERP systems", "Data platforms", "Air-gapped deployment", "On-premise deployment" ], "toolProficiency" : [ "FastAPI", "Django", "Docker", "Kubernetes", "Kong", "NGINX", "Weaviate", "Milvus" ], "continuousLearning" : "Mentorship program; Tech talks; Trainings; Centers of excellence; Knowledge sharing; Education reimbursement", "problemSolvingSkills" : "Error handling; Data validation", "specialRequirements" : "On-premise deployment, Air-gapped deployment", "qualificationsBasic" : "5+ years of experience in Python, Expert proficiency in Python, Experience with Docker and Kubernetes, background in designing RESTful APIs, gRPC services, using API Gateways, Proficiency with Relational Databases, Proficiency with Vector Databases, Ability to deliver Agile software, Experience building high-availability systems, Experience building auditable systems", "qualificationsPreferred" : "Familiarity with enterprise integration patterns, Familiarity with ERP protocols, OData, SOAP", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "N-iX is seeking a Senior Python Engineer to build production-grade application architecture for one of our clients' AI transformation initiatives. You will act as the technical anchor for developing robust, on-premise microservices that power an AI engineering platform and autonomous AI agents. Your role involves designing secure API gateways and orchestration layers that allow Large Language Models (LLMs) to interact safely with enterprise systems and sensitive engineering data within a structured delivery model. Responsibilities: Architect the orchestration layer (Agent of Agents) to coordinate specialized AI workers, manage state, task routing, and error handling. Design routing and classification services that map user prompts to specific skills and playbooks, ensuring deterministic execution of critical engineering and operational workflows. Build scalable, containerized microservices to handle high-concurrency requests and ensure low-latency responses for real-time AI-assisted operations. Construct a secure data access layer for connectivity to enterprise ERP systems, enforcing strict validation logic before any transaction is committed. Build secure and observable connection layers to central data platforms, ensuring all transactions are authenticated, authorized, and audited. Develop backend logic interfacing with Vector Databases and construct robust connectors for external data feeds, handling rate limiting, caching, and data normalization. Implement defense-grade security services, including RBAC and PII/ITAR redaction, and engineer systems for air-gapped or on-premise deployment. Implement comprehensive logging, tracing, and monitoring mechanisms adhering to enterprise best practices. Requirements: At least 5+ years of experience in Python, specifically building distributed systems or platforms that serve ML/AI models in production. Expert proficiency in Python (FastAPI/Django) Experience with Docker and Kubernetes (k8s) for deploying scalable applications in on-premise environments. Strong background in designing RESTful APIs, gRPC services, and using API Gateways like Kong or NGINX. Proficiency with Relational Databases (PostgreSQL) and Vector Databases (Weaviate, Milvus). Ability to deliver Agile software within structured delivery and formal audit environments Experience building high-availability and auditable systems. Nice to Have: Familiarity with enterprise integration patterns and ERP protocols such as OData and SOAP. We offer*: Flexible working format - remote, office-based or flexible A competitive salary and good compensation package Personalized career growth Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more) Active tech communities with regular knowledge sharing Education reimbursement Memorable anniversary presents Corporate events and team buildings Other location-specific benefits *not applicable for freelancers", "summaryDescription" : "Senior Python Engineer (AI experience) at N-iX. Skills: Python, AI engineering, Microservices, API design. Architect orchestration layer. Coordinate specialized AI workers", "postedDate" : "2026-06-11T16:56:32.700", "createdAt" : "2026-06-11T16:56:32.700", "lastUpdated" : "2026-06-13T08:47:30.154", "ingestTimestamp" : "2026-06-11T16:56:32.700", "mongoId" : "6a2a527d74d8ee00a05faa1d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Distributed systems", "ML/AI models", "Containerized microservices", "Data access layer", "Data normalization", "RBAC", "PII redaction", "ITAR redaction", "Air-gapped deployment", "On-premise deployment", "Logging", "Tracing", "Monitoring", "Python", "AI engineering", "Microservices", "API design", "System design", "Agile software delivery", "Formal audit environments", "High-availability systems", "Auditable systems", "Agile", "AI transformation", "AI engineering platform", "Autonomous AI agents", "Large Language Models", "Enterprise systems", "Engineering data", "Vector Databases", "ERP systems", "Data platforms", "FastAPI", "Django", "Docker", "Kubernetes", "Kong", "NGINX", "Weaviate", "Milvus" ], "skillCount" : 40, "jobCategory" : "other", "jobSubcategory" : "delivery-management-project-(o.shedin)-team", "dataQualityScore" : 0.8888889, "_score" : 1483.4764, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a25919e74d8ee00a019ebfe", "title" : "Expert -Science & Technology", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Pharma industry in India, adjusted for senior seniority and full-time employment." }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-11T22:39:34.514", "fingerprint" : "9969bd0335190eb096013d78528304eff386386595b60f1871d37e0542b4165f", "source" : "workday", "language" : "en", "applyUrl" : "https://novartis.wd3.myworkdayjobs.com/Novartis_Careers/job/Hyderabad-Office/Expert--Science---Technology_REQ-10079751-1", "externalId" : "REQ-10079751", "locationPoint" : "20.5937,78.9629", "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Chromatography, Separation Science", "professionalSkills" : [ "Method selection", "Method optimization", "Method validation", "Process development", "Technology implementation", "Information search", "Knowledge exchange", "Quality attributes", "Material attributes", "Process parameter", "Control procedures", "Test procedures", "Registration documents" ], "hardSkillsList" : [ "GMP testing", "Method development", "Method validation", "Process optimization", "Literature searches" ], "softSkillsList" : [ "Conflict resolution", "Knowledge exchange" ], "hardSkills" : [ { "name" : "GMP testing", "level" : "intermediate" }, { "name" : "Method development", "level" : "intermediate" }, { "name" : "Method validation", "level" : "intermediate" }, { "name" : "Process optimization", "level" : "intermediate" }, { "name" : "Literature searches", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Conflict resolution" }, { "name" : "Knowledge exchange" } ], "majorSkills" : "Chromatography, Separation Science, Method development, Dissolution testing", "majorSkillsList" : [ "Chromatography", "Separation Science", "Method development", "Dissolution testing" ], "coreResponsibilities" : "Design scientific experiments, Plan scientific experiments, Perform scientific experiments, Interpret scientific experiments, Report scientific experiments, Execute functional strategy, Drive operational excellence, Ensure portfolio support, Organize scientific experiments, Document scientific experiments, Perform GMP testing, Perform manufacturing plant activities, Utilize special tools, Utilize specialized equipment, Utilize specialized facilities, Schedule maintenance, Perform maintenance, Perform qualification of instruments, Perform qualification of equipment, Identify conflict situations, Contribute to solutions, Work according to standards, Evaluate raw data, Interpret raw data, Propose next experiments, Support design of experiments, Review raw data, Verify raw data, Approve tests, Approve experiments, Write protocols, Write scientific reports, Write lab procedures, Develop new methods, Optimize existing methods, Optimize existing processes, Contribute to development, Contribute to implementation, Ensure compliance to cGMP, Perform information searches, Perform literature searches, Foster knowledge exchange, Train associate scientists, Train technicians, Train temporary employees, Train employees under training, Coach associate scientists, Coach technicians, Coach temporary employees, Coach employees under training, Participate in sub teams, Fulfill assigned project tasks, Fulfill assigned project responsibilities, Solve problems, Establish innovative solutions, Establish control procedures, Establish specifications, Review test procedures, Generate scientific documents, Support generation of registration documents, Maintain infrastructure, Maintain equipment, Generate SOPs, Lead technical meetings, Present scientific results, Present technical results, Contribute to publications, Contribute to presentations, Contribute to patents", "teamCollaboration" : "Multifunctional project team; Cooperation with colleagues; Function-specific sub teams; Global network level", "projectManagementSkills" : [ "Project Leader coordination" ], "domainKnowledge" : "Drug substances; Drug products; Solid oral dosage forms; cGMP", "domainList" : [ "drug-substances", "drug-products", "solid-oral-dosage-forms", "cgmp" ], "domainSpecificKnowledge" : [ "Drug substances", "Drug products", "Solid oral dosage forms", "cGMP" ], "communicationSkills" : "Technical writing; Scientific reporting; Present results", "documentationSkills" : "Documentation of raw data; Write protocols; Write scientific reports; Write lab procedures; Generate scientific documents; Generate lab procedures; Generate SOPs", "innovationCreativity" : "Establish innovative solutions; Develop new methods; Optimize existing methods; Contribute to development; Contribute to implementation; Develop new technologies", "problemSolvingSkills" : "Troubleshooting; Solve problems; Root cause analysis", "outcomesObjectives" : "Timely delivery of drug substances; Timely delivery of drug products; Timely delivery of processes; Timely delivery of procedures; Ensure full portfolio support", "qualificationsBasic" : "Deep expertise in Chromatography & Separation Science, Experience in dissolution testing, Proven capability in analytical method development, M. Pharm. /M. Sc. with up to 10 years of relevant experience, Ph. D. with demonstrated experience in a related domain", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Job Description Summary** Design, plan, perform, interpret and report results of scientific experiments for the preparation and timely delivery of drug substances (DS), drug products (DP), processes and procedures within a multifunctional project team coordinated by a Project Leader. Execute the functional strategy and drive operational excellence in line with TRD vision and strategy. Ensure full portfolio support in line with GDD, TO and BR plans. **Job Description** **Key Accountabilities:** * Independently plan, organize, perform and document scientific experiments /GMP testing /manufacturing plant activities under minimal supervision; handle several activities at a time -Take over responsibility for and utilize special tools /equipment or specialized facilities as an expert; schedule and perform maintenance and qualification of instruments / equipment -Proactively identify conflict situations and contribute to solutions -Work according to appropriate standards for quality, ethics, health, safety, environment protection, and information security; lead initiatives to ensure continuous improvement -Documentation of raw data, evaluate and interpret results; propose and actively support the design of next experiments. * Review and verify raw data generated by others; approval of tests / experiments performed by others -Write protocols, scientific reports or lab procedures based on templates or SOPs under minimal supervision -For technical development units: Develop new methods or optimize existing methods/processes (lab or plant); contribute to development and implementation of new technologies -For GMP units: ensure compliance to cGMP -For technology-focused roles: Perform information and literature searches under minimal guidance. Actively foster knowledge exchange. * Train and coach associate scientists, technicians, temporary employees and employees under training / education -For project-focused role: Participate in function-specific sub teams and fulfill assigned project tasks and responsibilities under supervision -Uses professional concepts and company's policies and procedures to solve a wide range of difficult problems in imaginative and practical ways. * Establish innovative solutions for verification and control of critical quality attributes, critical material attributes or critical process parameter in cooperation with other colleagues. * Establish control procedures and specifications and review test procedures. * Generate scientific documents to hand over to internal and / or external partners (e.g., MST, TechOps, authorities, external companies) and support generation of international registration documents under minimal supervision. * If assigned this task, maintenance of infrastructure / equipment and required investments ( e.g. system ownership) -Generate lab procedures or SOP’s, generate protocols and reports -Lead technical meetings during product development at the local level as well as on the level of global network -Report and present scientific /technical results internally and contribute to publications, presentations and patents. **Essential Requirements:** * Deep expertise in Chromatography & Separation Science, including method selection, optimization, and troubleshooting across analytical workflows. * Strong experience in dissolution testing, with sound understanding of method development, validation, and interpretation for drug products. * Proven capability in analytical method development for drug products, particularly solid oral dosage forms, ensuring robustness, accuracy, and regulatory compliance. * M.Pharm./M.Sc. with up to 10 years of relevant experience, or Ph.D. with demonstrated experience in a related domain. **Skills Desired** Environment, Experiments Design, Health And Safety (Ehs), Laboratory Equipment, Manufacturing Process, Materials Science, Process Simulation, Sop (Standard Operating Procedure), Technical Writing, Waterfall Model", "summaryDescription" : "Expert -Science & Technology. Skills: Chromatography, Separation Science, Method development, Dissolution testing. Design scientific experiments. Plan scientific experiments", "postedDate" : "2026-06-09T09:11:07.590", "createdAt" : "2026-06-11T09:11:07.522", "lastUpdated" : "2026-06-11T22:39:34.514", "ingestTimestamp" : "2026-06-11T09:11:07.522", "mongoId" : "6a25919e74d8ee00a019ebfe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://novartis.wd3.myworkdayjobs.com/Novartis_Careers/job/Hyderabad-Office/Expert--Science---Technology_REQ-10079751-1", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "GMP testing", "Method development", "Method validation", "Process optimization", "Literature searches", "Conflict resolution", "Knowledge exchange", "Chromatography", "Separation Science", "Dissolution testing", "Method selection", "Method optimization", "Process development", "Technology implementation", "Information search", "Quality attributes", "Material attributes", "Process parameter", "Control procedures", "Test procedures", "Registration documents", "Project Leader coordination", "Drug substances", "Drug products", "Solid oral dosage forms", "cGMP" ], "skillCount" : 26, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 1165.8635, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a5dea74d8ee00a061ac27", "title" : "Manager, Data Science & AI", "industry" : "Pharmaceutical", "salary" : { "min" : 240000.0, "max" : 360000.0, "currency" : "BRL", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Brazil, adjusted for Manager seniority in the Pharma industry." }, "location" : "Brazil", "locations" : [ "Brazil" ], "timestamp" : "2026-06-12T09:27:21.699", "fingerprint" : "3f1b1492cfb4844152a4252db6cd3717163d756d4a7655d477eaebdb61def541", "source" : "workday", "language" : "en", "applyUrl" : "https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/Brazil---So-Paulo/Manager---Data-Science---AI_4959247", "externalId" : "4959247", "industryFunction" : { }, "locationPoint" : "-14.235,-51.9253", "structuredLocations" : [ { "country" : "Brazil", "continent" : "sa", "workMode" : "onsite" } ], "locationText" : "Brazil", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, NoSQL, Hadoop, Snowflake, Databricks, Java, Python, R, Scala, Dash, Tableau, Angular", "professionalSkills" : [ "Data science", "AI", "Machine learning", "Analytics", "Commercial strategies", "Brand analytics" ], "hardSkillsList" : [ "Statistical analysis", "Predictive algorithms", "Data visualization", "Real-world data" ], "softSkillsList" : [ "Analytical Thinker", "Project Manager", "Flexibility", "Prioritize multiple demands", "Deal with ambiguity" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Predictive algorithms", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Real-world data", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical Thinker" }, { "name" : "Project Manager" }, { "name" : "Flexibility" }, { "name" : "Prioritize multiple demands" }, { "name" : "Deal with ambiguity" } ], "majorSkills" : "Data Science, AI, Machine Learning, Analytics", "majorSkillsList" : [ "Data Science", "AI", "Machine Learning", "Analytics" ], "coreResponsibilities" : "Deliver advanced analytical models, Deliver predictive algorithms, Deliver AI-powered tools, Extract actionable insights, Drive Commercial strategies, Support end-to-end delivery, Frame business question, Design solution, Deliver recommendations, Break down technical concepts, Guide stakeholders, Build relationships, Communicate value proposition, Collaborate within analytics POD, Coordinate efforts, Develop brand analytics plan, Execute brand analytics plan, Deliver consolidated insights, Deliver actionable recommendations, Represent data science function, Represent data science capabilities, Work closely with teams, Ensure seamless integration, Work closely with Analytics Engineering, Ensure data ecosystem is conducive, Partner with Digital teams, Enhance data science capabilities, Align efforts, Leverage digital data sources, Foster collaboration with other teams, Ensure seamless integration of initiatives, Promote efficiency, Promote effectiveness, Leverage data for decision-making", "teamCollaboration" : "Analytics POD; Cross-functional teams; Analytics Engineering; Digital teams", "projectManagementSkills" : [ "Project Manager" ], "domainKnowledge" : "Commercial strategies; Brand content; Brand strategy; Brand tactics; Pharmaceutical industry; Healthcare industry", "domainList" : [ "commercial-strategies", "brand-content", "brand-strategy", "brand-tactics", "pharmaceutical-industry", "healthcare-industry" ], "domainSpecificKnowledge" : [ "Commercial strategies", "Brand content", "Brand strategy", "Brand tactics", "Pharmaceutical industry", "Healthcare industry" ], "toolProficiency" : [ "Dash", "Tableau" ], "communicationSkills" : "Compelling communication; Clear communication; Synthesize facts; Distill findings; Effective decision making", "continuousLearning" : "Stays abreast of analytical trends", "innovationCreativity" : "Innovative capabilities; Cutting-edge machine learning algorithms; Artificial intelligence techniques", "problemSolvingSkills" : "Problem-solving approach; Connect analytical thinking; Data-driven decision making", "specialRequirements" : "On-site 2-3x/week", "qualificationsBasic" : "Bachelor's degree with 3+ years of experience, Experience using data science models to solve problems", "qualificationsPreferred" : "Advanced degree preferred with 0-2 years of experience, Experience in pharmaceutical or healthcare industry is preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "## The Data Science & AI team with Global Commercial Analytics organization is committed to transforming data into actionable intelligence, empowering Pfizer to stay competitive and innovative in today's data-driven landscape. We play a pivotal role in extracting insights from large and complex datasets to drive strategic decision-making. Collaborating closely with various subject matter experts across various fields, our team leverages advanced statistical analysis, machine learning techniques, and data visualization tools to uncover patterns, trends, and correlations within the data. Additionally, we are dedicated to delivering new, innovative capabilities by deploying cutting-edge machine learning algorithms and artificial intelligence techniques to solve complex problems and create value. ## We are looking for a**Manager, Data Science and AI** who will be responsible for delivering data-derived insights and/or AI-powered analytics tools to Pfizer’s Commercial organization and will support a brand or therapeutic area. This includes leading the execution and interpretation of AI/ML models, framing problems, and shaping solutions with clear and compelling communication of data-driven insights. ## ## This role is dynamic, fast-paced, highly collaborative, and covers a broad range of strategic topics that are critical to our business. The successful candidate will join CAAI colleagues worldwide that are driving business transformation through proactive thought-leadership, innovative analytical capabilities, and their ability to communicate highly complex and dynamic information in new and creative ways. ## ## **ROLE RESPONSIBILITY** ## ## **Product / Brand and Therapeutic Area (TA) Insights** * ## Deliver advanced analytical models, predictive algorithms, and AI-powered tools to extract actionable insights to drive Commercial strategies and tactics. * ## Support the end-to-end delivery of data science insights, from framing the business question, designing the solution, and delivering recommendations. * ## Break down technical concepts into digestible insights and guide diverse stakeholders how to interpret. * ## Build strong relationships with key stakeholders, effectively communicating the value proposition of data science. ## ## **Collaborate Cross-Functionally as a Brand/TA Focused Analytics POD** ## ## · Collaborate within the analytics POD, coordinating efforts with the Insight Strategy & Execution and Market Research Insights counterparts to develop and execute a comprehensive brand analytics plan. ## · Deliver consolidated insights and actionable recommendations to Commercial to teams, ensuring alignment with strategic objectives and insights findings. ## · Represent data science function and capabilities in Analytic POD meetings. ## · Work closely with cross-functional teams to ensure seamless integration of brand analytics insights into decision-making processes and strategic initiatives. ## ## **Cross-Functional Collaboration** * ## Work closely with Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes. * ## Partner with Digital teams to enhance data science capabilities, aligning efforts to leverage digital data sources effectively. * ## Foster collaboration with other teams to ensure seamless integration of data science initiatives across the organization's infrastructure, promoting efficiency and effectiveness in leveraging data for informed decision-making. ## ## **Qualifications** * ## Minimum of bachelor’s degree with 3+ years of experience, preferably in engineering, economics, statistics, computer science, or related quantitative field. * ## Advanced degree preferred with 0~2 years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred. * ## Experience using data science models to solve problems in an education or business environment setting. ## ## **Relevant Experience** * ## Experience with both traditional SQL and modern NoSQL data stores including SQL, and large-scale distributed systems such as Hadoop and or working in Snowflake/Databricks. * ## Experience with machine learning technology, such as: big data stack, Java, Python, R, Scala and visualization techniques, including Dash, Tableau and Angular. * ## Experience in understanding brand content, strategy, and tactics * ## Ability to effectively utilize dashboards and data products to derive insights. * ## Experience with supporting commercial strategies and tactics, experience in pharmaceutical or healthcare industry is preferred. * ## Experience in management of secondary data with application of real-world data. * ## Ability to partner with cross-functional teams (Commercial, Medical, Operations) to execute brand tactics. * ## Able to connect, integrate and synthesize analysis and data into a meaningful ‘so what’ to drive concrete strategic recommendations for brand tactics. * ## Capable of describing relevant caveats in data or in a model and how they relate to business question. * ## Ability to be flexible, prioritize multiple demands and deal with ambiguity. ## **** ## **PROFESSIONAL CHARACTERISTICS** * ## **Analytical Thinker:** Understands how to synthesize facts and information from varied data sources, both new and pre-existing, into discernable insights and perspectives; takes a problem-solving approach by connecting analytical thinking with an understanding of business drivers and how CAAI can provide value to the organization. * ## **Data and Information Manager:** Understands and uses analytical skills/tools to produce data in a clean, organized way to drive objective insights. * ## **Communication:** Can understand, translate, and distill the complex, technical findings of the data science team into commentary that facilitates effective decision making; can readily align interpersonal style with the individual needs of others. * ## **Collaborative:** Manages projects with and through others; shares responsibility and credit; develops self and others through teamwork. * ## **Project Manager:** Clearly articulates scope and deliverables of projects; breaks complex initiatives into detailed component parts and sequences actions appropriately; develops action plans and monitors progress independently; designs success criteria and uses them to track outcomes; drives implementation of recommendations when appropriate, engages with stakeholders throughout to ensure buy-in. * ## **Self-Starter:** Takes an active role in one’s own professional development; stays abreast of analytical trends, and cutting-edge applications of data. ## **OTHER JOB DETAILS** * ## Work Location Assignment: On-site 2-3x/week or as needed by the business * ## Last day to apply for job: June 22 **EEO (Equal Employment Opportunity) & Employment Eligibility ** Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, or disability. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on [ _Pfizer Careers_](https://www.pfizer.com/about/careers/ai-use-guidelines). Marketing and Market Research", "summaryDescription" : "Manager, Data Science & AI. Skills: Data Science, AI, Machine Learning, Analytics. Deliver advanced analytical models. Deliver predictive algorithms", "postedDate" : "2026-06-10T12:58:56.171", "createdAt" : "2026-06-11T12:58:56.107", "lastUpdated" : "2026-06-12T09:27:21.699", "ingestTimestamp" : "2026-06-11T12:58:56.107", "mongoId" : "6a2a5dea74d8ee00a061ac27", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/Brazil---So-Paulo/Manager---Data-Science---AI_4959247", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Predictive algorithms", "Data visualization", "Real-world data", "Analytical Thinker", "Project Manager", "Flexibility", "Prioritize multiple demands", "Deal with ambiguity", "Data Science", "AI", "Machine Learning", "Analytics", "Data science", "Machine learning", "Commercial strategies", "Brand analytics", "Brand content", "Brand strategy", "Brand tactics", "Pharmaceutical industry", "Healthcare industry", "Dash", "Tableau" ], "skillCount" : 24, "jobCategory" : "engineering", "seniorityLevel" : "manager", "dataQualityScore" : 0.8888889, "_score" : 1087.4312, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Pharmaceutical" }, { "id" : "6a265b2c74d8ee00a021f697", "title" : "Lead Software Engineer - Python with Gen AI", "company" : "Wells Fargo", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Lead Software Engineer in Bengaluru, India, adjusted for the banking industry and Wells Fargo's size and reputation." }, "location" : "Bengaluru, India", "locations" : [ "Bengaluru, India" ], "timestamp" : "2026-06-12T14:50:22.541", "fingerprint" : "5e394b8c615bb6e0d4251cd41fe17cd25721538dd4f675f8084c0c955e607a1c", "source" : "workday", "language" : "en", "applyUrl" : "https://wd1.myworkdaysite.com/recruiting/wf/WellsFargoJobs/job/Bengaluru-India/Lead-Software-Engineer---Python-with-Gen-AI_R-546883", "externalId" : "R-546883", "locationPoint" : "12.97194,77.59369", "structuredLocations" : [ { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "Python, GenAI, SQL, GCP", "professionalSkills" : [ "Technology solutions", "Industry best practices", "New technologies", "Engineering best practices" ], "hardSkillsList" : [ "Data transformation", "Data validation", "Data orchestration", "Database design" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data orchestration", "level" : "intermediate" }, { "name" : "Database design", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Python, GenAI, Software Engineering", "majorSkillsList" : [ "Python", "GenAI", "Software Engineering" ], "coreResponsibilities" : "Lead complex technology initiatives, Develop standards and best practices, Design technology solutions, Code solutions, Test solutions, Debug solutions, Document solutions, Analyze technology solutions, Make decisions on best practices, Influence technology team, Lead new initiatives, Collaborate with technical experts, Consult with senior technology team, Resolve technical issues, Achieve goals, Lead projects, Lead teams, Serve as peer mentor", "teamCollaboration" : "Key technical experts; Senior technology team; External industry groups", "domainKnowledge" : "Cloud-native architecture; Large scale technology", "domainList" : [ "cloud-native-architecture", "large-scale-technology" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Large scale technology" ], "toolProficiency" : [ "Google ADK", "AutoGen", "LangChain", "LlamaIndex", "Crew AI", "Splunk", "Grafana", "Tableau" ], "communicationSkills" : "Excellent communication", "documentationSkills" : "Document projects", "problemSolvingSkills" : "Resolve complex technical issues", "qualificationsBasic" : "5+ years of Software Engineering experience", "qualificationsPreferred" : "Evaluate and recommend AI frameworks, Experience with ETL pipeline development, Observability and DevOps, Experience with database design, Contribute to architectural decisions, Reporting Tools, Cloud: GCP, Stakeholder management, Team Management", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**About this role:** Wells Fargo is seeking a Lead Software Engineer. ****In this role, you will:**** * Lead complex technology initiatives including those that are companywide with broad impact * Act as a key participant in developing standards and companywide best practices for engineering complex and large scale technology solutions for technology engineering disciplines * Design, code, test, debug, and document for projects and programs * Review and analyze complex, large-scale technology solutions for tactical and strategic business objectives, enterprise technological environment, and technical challenges that require in-depth evaluation of multiple factors, including intangibles or unprecedented technical factors * Make decisions in developing standard and companywide best practices for engineering and technology solutions requiring understanding of industry best practices and new technologies, influencing and leading technology team to meet deliverables and drive new initiatives * Collaborate and consult with key technical experts, senior technology team, and external industry groups to resolve complex technical issues and achieve goals * Lead projects, teams, or serve as a peer mentor ****Required Qualifications:**** * 5+ years of Software Engineering experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education ****Desired Qualifications:**** * Evaluate and recommend AI frameworks: Google ADK, AutoGen, LangChain, LlamaIndex, Crew AI * Experience with ETL pipeline development: data transformation, validation, orchestration * Observability and DevOps: **Splunk** , Grafana, CI/CD and Deployment pipelines, Automated Testing * Strong experience with database design: SQL * Contribute to architectural decisions ensuring reliability, security, and scalability * Reporting Tools: **Tableau** * Cloud: GCP * **Python, GenAI, SQL** * Stakeholder management * Team Management * Excellent communication. **Posting End Date:** 12 Jun 2026 _***Job posting may come down early due to volume of applicants.**_ **We Value Equal Opportunity** Wells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements. Candidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process. **Applicants with Disabilities** To request a medical accommodation during the application or interview process, visit [Disability Inclusion at Wells Fargo](https://www.wellsfargojobs.com/en/diversity/disability-inclusion/). **Drug and Alcohol Policy** **** Wells Fargo maintains a drug free workplace. Please see our [Drug and Alcohol Policy](https://www.wellsfargojobs.com/en/wells-fargo-drug-and-alcohol-policy) to learn more. **Wells Fargo Recruitment and Hiring Requirements:** a. Third-Party recordings are prohibited unless authorized by Wells Fargo. b. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.", "summaryDescription" : "Lead Software Engineer - Python with Gen AI at Wells Fargo. Skills: Python, GenAI, Software Engineering. Lead complex technology initiatives. Develop standards and best practices", "postedDate" : "2026-06-10T14:12:43.402", "createdAt" : "2026-06-11T14:12:43.322", "lastUpdated" : "2026-06-12T14:50:22.541", "ingestTimestamp" : "2026-06-11T14:12:43.322", "mongoId" : "6a265b2c74d8ee00a021f697", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://wd1.myworkdaysite.com/recruiting/wf/WellsFargoJobs/job/Bengaluru-India/Lead-Software-Engineer---Python-with-Gen-AI_R-546883", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data transformation", "Data validation", "Data orchestration", "Database design", "Leadership", "Mentoring", "Python", "GenAI", "Software Engineering", "Technology solutions", "Industry best practices", "New technologies", "Engineering best practices", "Cloud-native architecture", "Large scale technology", "Google ADK", "AutoGen", "LangChain", "LlamaIndex", "Crew AI", "Splunk", "Grafana", "Tableau" ], "skillCount" : 23, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "_score" : 1075.7625, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a844574d8ee00a0678823", "title" : "Founding Engineer (Python / AI / Data Platform)", "company" : "Jahnel Group", "industry" : "Healthcare", "salary" : { "min" : 200000.0, "max" : 300000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Founding Engineer in New York, adjusted for the healthcare industry and company size." }, "location" : "External ", "locations" : [ "External" ], "timestamp" : "2026-06-13T20:54:52.374", "fingerprint" : "8dcdf4da740de67af02b3b281718d82586fe435a16322aa3550a404a32ad8464", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.jahnelgroup.com/apply.html?gh_jid=5160812007", "externalId" : "5160812007", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, Postgres, LLMs, Embeddings, RAG, TypeScript, React", "professionalSkills" : [ "System design", "Product mindset" ], "hardSkillsList" : [ "Data ingestion", "Data models", "Data schemas", "APIs", "AI pipelines", "LLM systems", "Prompt engineering", "Evaluation frameworks", "Data quality", "Traceability", "System reliability", "Auditability", "Explainability", "Validation" ], "hardSkills" : [ { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data models", "level" : "intermediate" }, { "name" : "Data schemas", "level" : "intermediate" }, { "name" : "APIs", "level" : "intermediate" }, { "name" : "AI pipelines", "level" : "intermediate" }, { "name" : "LLM systems", "level" : "intermediate" }, { "name" : "Prompt engineering", "level" : "intermediate" }, { "name" : "Evaluation frameworks", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Traceability", "level" : "intermediate" }, { "name" : "System reliability", "level" : "intermediate" }, { "name" : "Auditability", "level" : "intermediate" }, { "name" : "Explainability", "level" : "intermediate" }, { "name" : "Validation", "level" : "intermediate" } ], "majorSkills" : "AI, Data Platform, Python, LLMs", "majorSkillsList" : [ "AI", "Data Platform", "Python", "LLMs" ], "coreResponsibilities" : "Design backend systems, Build backend systems, Scale data ingestion pipelines, Define data models, Evolve data models, Define schemas, Evolve schemas, Define APIs, Evolve APIs, Build AI pipelines, Develop evaluation frameworks, Improve data quality, Improve traceability, Improve system reliability, Prototype new ideas, Productionize new ideas, Build systems for auditability, Build systems for explainability, Build systems for validation, Iterate on architecture, Iterate on performance, Iterate on product direction", "teamCollaboration" : "Close collaboration with founders", "domainKnowledge" : "Healthcare data; Payer/provider; Health tech; Cloud infrastructure", "domainList" : [ "healthcare-data", "payer-provider", "health-tech", "cloud-infrastructure" ], "domainSpecificKnowledge" : [ "Healthcare data", "Payer/provider", "Health tech", "Cloud infrastructure" ], "toolProficiency" : [ "FastAPI", "Snowflake", "Terraform" ], "innovationCreativity" : "Rapidly prototype", "problemSolvingSkills" : "Troubleshooting", "workSiteFlexibility" : "Onsite", "rawDescription" : "Jahnel Group’s mission is to provide the absolute best environment for software creators to pursue their passion by connecting them with great clients doing meaningful work. Who We’re Looking For We’re looking for a Founding Engineer to help build the core data and AI infrastructure powering how healthcare policy information is structured, queried, and used in production systems. This is a high-ownership role in an early-stage environment where you will work directly with founders, define core architecture decisions, and build systems from the ground up. You’ll be responsible for turning complex, unstructured healthcare data into reliable, AI-powered infrastructure that scales. This role is ideal for someone who thrives in ambiguity, enjoys building end-to-end systems, and is excited about applying modern AI/LLM techniques to real-world data problems. Primary Responsibilities Design and build core backend systems using Python and SQL Build and scale data ingestion pipelines for unstructured healthcare policy data Define and evolve data models, schemas, and APIs for long-term platform scalability Build AI-powered pipelines using LLMs, embeddings, and RAG architectures Develop evaluation frameworks for LLM systems (testing, benchmarking, monitoring, QA workflows) Improve data quality, traceability, and system reliability across the platform Rapidly prototype and productionize new ideas in close collaboration with founders Build systems for auditability, explainability, and validation of AI-generated outputs Continuously iterate on architecture, performance, and product direction Some Must Haves: 5+ years of experience building backend or data-heavy systems Strong proficiency with Python, SQL, and Postgres Experience building data pipelines and data-driven software systems Hands-on experience with AI/LLM systems (RAG, embeddings, prompt engineering, evals, hallucination mitigation) Strong system design and architecture skills Experience working with cloud infrastructure (AWS preferred) Strong product mindset and ability to make tradeoffs between technical and business value Comfort working in highly ambiguous, fast-paced environments Proven ability to own projects end-to-end without heavy direction Nice to Have: Experience in healthcare, payer/provider, or health tech domains Startup or early-stage founding team experience Experience with FastAPI or similar backend frameworks Familiarity with modern data warehouses (e.g., Snowflake) Exposure to TypeScript/React frontend development Experience with Terraform or infrastructure-as-code Experience with containerized systems and orchestration Where We’re Looking For It New York Other Information This is a high-impact founding role working directly with company leadership. Expect fast iteration, high autonomy, and significant ownership of core systems. Work hours align with US collaboration needs. Position available immediately.", "summaryDescription" : "Founding Engineer (Python / AI / Data Platform) at Jahnel Group. Skills: AI, Data Platform, Python, LLMs. Design backend systems. Build backend systems", "postedDate" : "2026-06-11T20:20:28.373", "createdAt" : "2026-06-11T20:20:28.373", "lastUpdated" : "2026-06-13T20:54:52.374", "ingestTimestamp" : "2026-06-11T20:20:28.373", "mongoId" : "6a2a844574d8ee00a0678823", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 200000, "salaryAnnualMax" : 300000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data ingestion", "Data models", "Data schemas", "APIs", "AI pipelines", "LLM systems", "Prompt engineering", "Evaluation frameworks", "Data quality", "Traceability", "System reliability", "Auditability", "Explainability", "Validation", "AI", "Data Platform", "Python", "LLMs", "System design", "Product mindset", "Healthcare data", "Payer/provider", "Health tech", "Cloud infrastructure", "FastAPI", "Snowflake", "Terraform" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "engineering-", "dataQualityScore" : 0.8888889, "_score" : 1072.5227, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a2a713f74d8ee00a0648b65", "title" : "Solution Engineer (Product Expert)", "company" : "EliseAI", "industry" : "Product Solutions", "salary" : { "min" : 135000.0, "max" : 180000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Toronto", "locations" : [ "Toronto" ], "timestamp" : "2026-06-14T06:16:11.542", "fingerprint" : "bb56573bd494f2c7e42df49167b46c0f74d2216703889df10d39d4cb8712181a", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/EliseAI/ea55a73a-a0d2-4c74-9265-e731b302dc01/application", "externalId" : "ea55a73a-a0d2-4c74-9265-e731b302dc01", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI", "professionalSkills" : [ "Product demonstrations", "Technical support", "Product implementations", "Escalation support", "Knowledge transfer" ], "hardSkillsList" : [ "Troubleshoot technical issues" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Troubleshoot technical issues", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "Product Expert, AI Agents", "majorSkillsList" : [ "Product Expert", "AI Agents" ], "coreResponsibilities" : "Conduct discovery sessions, Understand product area, Understand client requirements, Act as representative, Ensure alignment, Ensure collaboration, Develop roadmaps, Maintain roadmaps, Develop launch tools, Develop internal settings, Develop QA processes, Provide technical support, Provide guidance, Deliver product demonstrations, Deliver presentations, Explain technical concepts, Guide Customer Success Managers, Act as partner, Provide training support, Provide escalation support, Provide troubleshooting support, Resolve issues, Gain in-depth understanding, Meet client needs, Ensure knowledge transfer", "teamCollaboration" : "Cross-functional teams; Support Engineers; Customer Success Managers; Engineering; Operations; Product management", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Housing industry; Healthcare industry; AI agents", "domainList" : [ "housing-industry", "healthcare-industry", "ai-agents" ], "domainSpecificKnowledge" : [ "Housing industry", "Healthcare industry", "AI agents" ], "toolProficiency" : [ "CRM tools", "Support ticketing systems" ], "communicationSkills" : "Explain complex concepts", "problemSolvingSkills" : "Troubleshoot technical issues; Problem-solving", "specialRequirements" : "20% travel", "qualificationsBasic" : "3+ years Solutions Engineer, SaaS company experience, Understand product development, Understand launch processes, Excellent problem-solving skills, Troubleshoot technical issues, Work with cross-functional teams, Explain complex technical concepts, Manage multiple tasks, Manage priorities, Work independently, Work as part of team", "qualificationsPreferred" : "Experience with QA processes, Develop self-serve tools, Proactive approach to problem-solving", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "About EliseAI At EliseAI, we're improving the industries that matter most: housing and healthcare. Everyone needs a place to live and access to quality healthcare, yet both are often harder to secure than they should be. By integrating AI agents deeply into existing workflows, we make them more efficient, reduce costs, and improve the experience for everyone. - Housing: We simplify how renters tour apartments, sign leases, submit maintenance requests, and stay connected with their property team—bringing everything they need for their home into one place. - Healthcare: We make it easy to schedule appointments, complete intake forms, and we help patients communicate with providers, so everyone can focus on health instead of paperwork. With EliseAI, organizations reduce manual work, improve accessibility, and deliver a seamless experience across essential services. We recently raised a $250 million Series E round https://www.eliseai.com/blog/eliseai-raises-250m-series-e led by Andreessen Horowitz to accelerate this mission. About The Role As a Solutions Engineer at EliseAI, you will be integral to our product launch and support processes. You will work closely with clients, support engineers, and customer success managers to ensure smooth product implementations and troubleshooting. Your role involves developing launch tools, understanding product functionalities in-depth, and providing training and escalation support. Key Responsibilities - Conduct thorough discovery sessions with new clients to understand their product area and requirements - Act as the representative for Support Engineers within your product area, ensuring alignment and collaboration - Develop and maintain roadmaps for self-serve launch tools and internal launch settings, including quality assurance processes - Provide in-depth technical support and guidance to prospects, including product demonstrations, presentations, and explanations of complex technical concepts - Guide Customer Success Managers through product implementations and act as a partner for training and escalation issues - Provide troubleshooting support for clients post-launch, addressing and resolving any issues within your product area - Gain an in-depth understanding of how the product works to meet client needs effectively, ensuring comprehensive knowledge transfer and support - Attract top-tier talent to join our driven team Requirements - 3+ years of experience in a Solutions Engineer role at a SaaS company - Willingness to travel up to 20% to meet and engage with prospective clients - Strong understanding of product development and launch processes - Excellent problem-solving skills and the ability to troubleshoot technical issues - Experience working with cross-functional teams, including engineering, operations, and product management - Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders - Familiarity with customer relationship management (CRM) tools and support ticketing systems - Ability to manage multiple tasks and priorities in a fast-paced environment - Experience with QA processes and developing self-serve tools is a plus - Ability to work independently and as part of a team, with a proactive approach to problem-solving and support - Willing to work in person at our office 4-5 days per week Why Join Growth and impact. It’s not often that you can get in on the ground floor of a funded (unicorn! https://www.eliseai.com/blog/eliseai-world-leader-in-ai-enabled-solutions-for-housing-raises-75-million-series-d-round-valuing-company-in-excess-of-1-billion) startup that’s scaling. That means that instead of following a playbook, you’ll be writing it. Every single day you will be challenged to identify how we can scale and execute on it. You’ll learn what works when you succeed and what doesn’t when you fail. Either way, the rest of the team will be here to support you. Benefits In addition to the growth and impact you’ll have at EliseAI, we offer competitive salaries along with the following benefits: - Equity in the company - Medical, Dental and Vision premiums covered at 100% - Fully paid parental leave - Commuter benefits - 401k benefits - Fitness & home services stipend to cover part of your expenses so you can focus on what matters - A collaborative in-office environment with an open floor plan, fully stocked kitchen, and all meals covered in the office - Unlimited vacation and paid holidays - We'll cover relocation packages and make the move exciting, not painful! Job Compensation Range The salary range for this role is $135,000 - $180,000 CAD. EliseAI offers a competitive total rewards package which includes base salary, equity, and a comprehensive benefits & perks package. Exact compensation is determined based on a number of factors including experience, skill level, location and qualifications which are assessed during the interview process. Additional details about total compensation and benefits will be provided by our Recruiting Team during the hiring process. EliseAI 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. Please note that employment with EliseAI is on an \"at-will\" basis, which means that either the employee or the company may terminate the employment relationship at any time, with or without cause or notice. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. If you need assistance and/or a reasonable accommodation in the application or recruiting process due to a disability, please contact us at recruiting@eliseai.com", "summaryDescription" : "Solution Engineer (Product Expert) at EliseAI. Skills: Product Expert, AI Agents. Conduct discovery sessions. Understand product area", "postedDate" : "2026-06-11T19:58:36.772", "createdAt" : "2026-06-11T19:58:36.772", "lastUpdated" : "2026-06-14T06:16:11.542", "ingestTimestamp" : "2026-06-11T19:58:36.772", "mongoId" : "6a2a713f74d8ee00a0648b65", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Troubleshoot technical issues", "Problem-solving", "Product Expert", "AI Agents", "Product demonstrations", "Technical support", "Product implementations", "Escalation support", "Knowledge transfer", "Roadmap planning", "Housing industry", "Healthcare industry", "AI agents", "CRM tools", "Support ticketing systems" ], "skillCount" : 15, "jobCategory" : "product", "jobSubcategory" : "product-solutions", "dataQualityScore" : 1.0, "_score" : 1071.374, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Housing" }, { "id" : "6a2512b774d8ee00a00b641c", "title" : "Computer Science PhD", "industry" : "Software Engineering", "salary" : { "min" : 150.0, "max" : 150.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Germany", "locations" : [ "Germany" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-08T03:25:28.379", "fingerprint" : "792e45a4be4a794a3b7f5b2899019565b0be7a6c8e56222abb80c9c3e6b32616", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/anyone-ai/08bc3fa1-556b-41a6-be48-532db0c5c3b1/application", "externalId" : "08bc3fa1-556b-41a6-be48-532db0c5c3b1", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "na", "workMode" : "remote" } ], "locationText" : "", "employmentType" : "PART_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Machine Learning, AI, Python, R, Scala, Spark, dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, dbt Cloud, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Regression, Classification, Clustering, Time-series, A/B testing, Causal inference, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "AI model training", "AI model evaluation", "Technical prompt creation", "Technical answer creation", "Model response evaluation" ], "hardSkillsList" : [ "Factual accuracy assessment", "Technical quality assessment", "Relevance assessment", "Reasoning quality evaluation", "Completeness evaluation", "Clarity evaluation", "Error identification", "Inconsistency identification", "Hallucination identification", "Weak reasoning identification", "Feedback provision" ], "hardSkills" : [ { "name" : "Factual accuracy assessment", "level" : "intermediate" }, { "name" : "Technical quality assessment", "level" : "intermediate" }, { "name" : "Relevance assessment", "level" : "intermediate" }, { "name" : "Reasoning quality evaluation", "level" : "intermediate" }, { "name" : "Completeness evaluation", "level" : "intermediate" }, { "name" : "Clarity evaluation", "level" : "intermediate" }, { "name" : "Error identification", "level" : "intermediate" }, { "name" : "Inconsistency identification", "level" : "intermediate" }, { "name" : "Hallucination identification", "level" : "intermediate" }, { "name" : "Weak reasoning identification", "level" : "intermediate" }, { "name" : "Feedback provision", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, AI, Data Science, Model Evaluation", "majorSkillsList" : [ "Machine Learning", "AI", "Data Science", "Model Evaluation" ], "coreResponsibilities" : "Assess factual accuracy of AI text, Assess technical quality of AI text, Assess relevance of AI text, Craft advanced questions, Answer advanced questions, Evaluate AI-generated responses, Compare AI-generated responses, Rank AI-generated responses, Identify errors in model outputs, Identify inconsistencies in model outputs, Identify hallucinations in model outputs, Identify weak reasoning in model outputs, Provide clear feedback", "domainKnowledge" : "Machine Learning; Artificial Intelligence; Natural Language Processing; Computer Vision; Reinforcement Learning", "domainList" : [ "machine-learning", "artificial-intelligence", "natural-language-processing", "computer-vision", "reinforcement-learning" ], "domainSpecificKnowledge" : [ "Machine Learning", "Artificial Intelligence", "Natural Language Processing", "Computer Vision", "Reinforcement Learning" ], "communicationSkills" : "Technical writing", "problemSolvingSkills" : "Analytical judgment", "outcomesObjectives" : "Improve performance of AI systems", "qualificationsBasic" : "PhD in Machine Learning, PhD in Artificial Intelligence, PhD in Computer Science, PhD in Statistics, PhD in Applied Mathematics, PhD in Computational Neuroscience, PhD in Natural Language Processing, PhD in Computer Vision, PhD in Reinforcement Learning, PhD in Data Science, Experience as Machine Learning Engineer, Experience as AI Researcher, Experience as Applied Scientist, Experience as Data Scientist, Understanding of core ML/AI concepts, Ability to write clearly in English, Analytical judgment, Attention to detail", "qualificationsPreferred" : "GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "OVERVIEW We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models. In this role, you will apply your domain expertise to assess AI-generated content, create high-quality technical prompts and answers, and evaluate model responses for accuracy, relevance, and clarity. This is a remote, flexible opportunity for experts who want to contribute to the development of better AI systems. COMPENSATION - US$150 per hour KEY RESPONSIBILITIES As a Machine Learning / AI Expert, you may contribute by: - Assessing the factual accuracy, technical quality, and relevance of AI-generated text related to Machine Learning and Artificial Intelligence. - Crafting and answering advanced questions across Machine Learning, AI, and adjacent technical domains. - Evaluating, comparing, and ranking AI-generated responses based on correctness, reasoning quality, completeness, and clarity. - Identifying errors, inconsistencies, hallucinations, or weak reasoning in model outputs. - Providing clear feedback that helps improve the performance of AI systems. IDEAL QUALIFICATIONS We are especially interested in candidates with one or more of the following: - A PhD in Machine Learning, Artificial Intelligence, or an adjacent field, such as Computer Science, Statistics, Applied Mathematics, Computational Neuroscience, Natural Language Processing, Computer Vision, Reinforcement Learning, or Data Science. - Experience working as a Machine Learning Engineer, AI Researcher, Applied Scientist, Data Scientist, or in a comparable highly technical or analytical role. - Strong understanding of core Machine Learning and AI concepts, including model training, evaluation, optimization, and real-world application. - Ability to write clearly, precisely, and fluently in English about complex technical topics. - Strong analytical judgment and attention to detail. WORK ARRANGEMENT - Remote - Flexible hours", "summaryDescription" : "Computer Science PhD. Skills: Machine Learning, AI, Data Science, Model Evaluation. Assess factual accuracy of AI text. Assess technical quality of AI text", "postedDate" : "2026-06-07T09:21:51.575", "createdAt" : "2026-06-07T09:21:51.575", "lastUpdated" : "2026-06-08T03:25:28.379", "ingestTimestamp" : "2026-06-07T09:21:51.575", "mongoId" : "6a2512b774d8ee00a00b641c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 150, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Factual accuracy assessment", "Technical quality assessment", "Relevance assessment", "Reasoning quality evaluation", "Completeness evaluation", "Clarity evaluation", "Error identification", "Inconsistency identification", "Hallucination identification", "Weak reasoning identification", "Feedback provision", "Machine Learning", "AI", "Data Science", "Model Evaluation", "AI model training", "AI model evaluation", "Technical prompt creation", "Technical answer creation", "Model response evaluation", "Artificial Intelligence", "Natural Language Processing", "Computer Vision", "Reinforcement Learning", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software-engineering", "dataQualityScore" : 0.7777778, "_score" : 1070.4281, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a3ee774d8ee00a05bf419", "title" : "Food Science Associate", "company" : "The Farmer's Dog", "industry" : "Pet Food", "salary" : { "min" : 70000.0, "max" : 80000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "timestamp" : "2026-06-11T07:23:09.634", "fingerprint" : "7a7a60983bd395435920680c4242d912413b777123bc325f25a9e56751e5349a", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/thefarmersdog/jobs/8585744002", "externalId" : "8585744002", "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", "professionalSkills" : [ "Food science", "Product development", "Project coordination", "Documentation management", "Cross-functional communication", "Data compilation", "Data organization", "Risk identification", "Bottleneck identification", "Documentation gap identification" ], "hardSkillsList" : [ "Nutrient analysis", "Feeding trials", "Plant trials" ], "hardSkills" : [ { "name" : "Nutrient analysis", "level" : "intermediate" }, { "name" : "Feeding trials", "level" : "intermediate" }, { "name" : "Plant trials", "level" : "intermediate" } ], "majorSkills" : "Food science experiments, Product development projects, Sample management", "majorSkillsList" : [ "Food science experiments", "Product development projects", "Sample management" ], "coreResponsibilities" : "Coordinate food science experiments, Track food science experiments, Coordinate plant trials, Track plant trials, Coordinate product development projects, Track product development projects, Document key milestones, Document timelines, Manage sample requests, Package samples, Label samples, Ship samples, Maintain technical documentation, Organize technical documentation, Prepare updates for stakeholders, Prepare meeting notes for stakeholders, Prepare summaries for stakeholders, Support pilot facility activities, Manage pilot facility equipment, Sanitize pilot facility equipment, Manage pilot facility inventory, Compile data from nutrient analyses, Compile data from feeding trials, Compile data from plant trials, Draft ingredient specifications, Update ingredient specifications, Draft WIP specifications, Update WIP specifications, Draft finished product specifications, Update finished product specifications, Support research partnerships, Identify project risks, Identify project bottlenecks, Identify documentation gaps", "teamCollaboration" : "Cross-functional communication; Support cross-functional teams; Support Manufacturing; Support Operations; Support Product; Support Veterinary Relations", "projectManagementSkills" : [ "Timeline tracking", "Milestone documentation" ], "domainKnowledge" : "Pet food industry; Animal nutrition", "domainList" : [ "pet-food-industry", "animal-nutrition" ], "domainSpecificKnowledge" : [ "Pet food industry", "Animal nutrition" ], "communicationSkills" : "Prepare updates; Prepare meeting notes; Prepare summaries; Distill complexity", "documentationSkills" : "Maintain documentation; Organize documentation; Document specifications; Document trial results; Document ingredient records", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "Bachelor's Degree in Food Science, 1-3 years experience in food science, 1-3 years experience in R&D, Ability to identify when things are slipping, Take initiative to get things back on course, Clear and proactive communicator, Keep the right people informed, Dig into the details, Take pride in accurate documentation, Thrive in fast-paced environment, Thrive in ambiguous environment, Naturally curious, Proactive self-starter, Constantly on the lookout for new opportunities, Constantly on the lookout for new solutions, Excellent problem-solving skills, Prioritize tasks effectively, Attention to detail, Skilled communicator, Absorb complexity into simple terms, Distill complexity into simple terms, Drive decisions", "qualificationsPreferred" : "Bachelor's Degree in Animal Science, Bachelor's Degree in Nutrition, Bachelor's Degree in related field", "workSiteFlexibility" : "Onsite", "rawDescription" : "Who We Are The Farmer’s Dog was born from a mission to change the landscape of pet health, providing dogs and their humans with honest, smart, and simple care. We’re starting by radically improving the $90 billion pet food industry, replacing bags of highly-processed pellets with a personalized subscription service that sends complete and balanced, freshly-made dog food directly to customers’ doors. Our ultimate goal is to create innovative, delightful and personalized experiences across all aspects of pet care, and we believe our direct-to-consumer business model, holistic approach to growth, and dynamic culture uniquely position us to shepherd this backwards industry into the future. To date, The Farmer’s Dog has delivered over 1 billion meals nationwide and raised over $150M in funding to help us build a company as healthy as the dogs who are eating those meals. Join us as we continue to develop ways of bringing peace of mind to customers, health to their companions, and much-needed change to the way people feed and care for their pets. #LongLiveDogs What We Stand For and Where You’ll Come In The Associate Food Scientist will report directly to the Senior Food Scientist and will play an essential supporting role across the food science function. This is a hands-on role focused on keeping experiments, trials, and projects moving, from coordinating documentation and managing sample requests to tracking timelines and supporting cross-functional communication. The Associate Food Scientist will be an organized, proactive contributor who helps the team execute with speed and rigor. One Team: We don’t think of ourselves as “Acquisition Marketers”, “Engineers”, “Data Analysts”, or “Product Managers”. Beyond denoting skill sets and areas of expertise, we don’t think departments matter. We’d rather align ourselves to the goals we’re working to achieve and make sure we have necessary subject matter expertise to drive meaningful impact. We strive to orient ourselves around customer problems TOGETHER – getting the right people, with the right context, in the right rooms/Zooms to solve problems holistically. We are skeptical about everything and precious about nothing: Ideas can and should come from anywhere, and we aren’t tied to our own. We proactively source input. We talk to our customers and leads regularly and are quick to change course if we know there’s a better or more impactful way to solve problems. We consider the customer journey in all of our decisions: We know that no interaction exists in a silo and therefore understand how important every single one is. We ensure our strategy sets prospective and new customers up for success and drives long-term retention. We answer questions and address problems early and proactively. We understand the value of different channels, initiatives, and messages and know how to articulate impact and advocate for prioritization holistically. We Execute For Impact: We don’t subscribe to “best practices” or “industry KPIs”. We’re uninterested in how we compare to “benchmarks”; instead we orient ourselves around being the best we can possibly be. Similarly, we don’t subscribe to rigid or classical expectations of roles – i. e. acquisition is hyper-focused on improving customer retention and experience. We Are Focused and Work Without Assumption: We are not beholden to ideas. We have goals and believe everything beyond that is a series of hypotheses to validate. To that end, we seek to work in sequence and not in parallel. We constantly ask ourselves, “what’s the most important hypothesis I should be working on right now? How do I confirm or reject that hypothesis as fast as possible?”. We rarely have timelines/deadlines and are constantly taking in new information and adjusting our priorities accordingly. We don’t expect to be perfect the first time. How You'll Make An Impact Coordinate and track the progress of food science experiments, plant trials, and product development projects, ensuring key milestones and timelines are clearly documented and communicated. Manage sample requests end-to-end, including packaging, labeling, and shipping samples to internal teams, external partners, and testing facilities. Maintain and organize technical documentation including formulations, specifications, trial results, and ingredient records. Support cross-functional communication by preparing updates, meeting notes, and summaries for internal stakeholders across Manufacturing, Operations, Product, and Veterinary Relations. Assist with pilot facility activities including equipment maintenance, sanitation, and ingredient inventory management. Compile and organize data from nutrient analyses, feeding trials, and plant trials to support review and interpretation by senior team members. Assist in drafting and updating ingredient, WIP, and finished product specifications. Support coordination of academic and external research partnerships. Help identify and flag project risks, bottlenecks, or gaps in documentation proactively. We're Excited About You Because You have a Bachelor's Degree (or higher) in Food Science, Animal Science, Nutrition, or a related field. You have 1-3 years of experience in a food science, R you notice when things are slipping and take initiative to get them back on course. You are a clear and proactive communicator who keeps the right people informed without being asked. You love to dig into the details and take pride in accurate, well-maintained documentation. You are able to thrive in a fast-paced and ambiguous environment, naturally curious and proactive self-starter, constantly on the lookout for new opportunities and solutions. You're an owner, have excellent problem-solving skills, and can prioritize tasks effectively, with a strong attention to detail. You're a skilled communicator with the ability to absorb and distill complexity into simple terms to drive decision making. You are capable of lifting/moving 50+ lbs. You love dogs. Office Guidelines We are an in-office culture, made of in-office people who thrive on the collaboration and magnetism of working in a shared space. We are seeking individuals who excel in this type of environment, where being present fosters deeper connections and engagement. We ask all team members to be in office 4 - 5 days a week to build a collaborative and invested environment to foster our unique in-person culture we are proud to have. This office policy is subject to change at company discretion. Our Belonging Philosophy: At TFD, we believe Belonging is a shared commitment to creating a workplace where every person feels respected, valued, and empowered to be themselves. When people feel a true sense of belonging, they do their best work, take smart risks, and bring forward diverse perspectives — leading to stronger decisions and deeper relationships. We anchor this belief in a simple phrase: “Everyone’s welcome at the dog park.” No matter your background, identity, or role, there’s space for you here. There’s no one way to show up at the dog park— just shared space, mutual respect, and the freedom to be yourself. Being included is just the beginning, it’s about contributing your voice, growing through challenges, and building trust through shared goals. This philosophy guides how we lead, how we hire, how we communicate, and how we grow. We continuously evaluate to ensure we are creating a consistent experience that cultivates belonging for all employees, from hiring and performance reviews to talent development. We also believe Belonging happens in everyday moments of connection; lunch with a new teammate, a shared laugh, or a quick story about your weekend. Our structure includes biannual employee surveys, manager training, TFD camps, and support from Humans to ensure we’re listening and learning from our Team. Together, these efforts reflect what Belonging means at TFD: a culture where everyone can thrive. A Few of Our Best Benefits Dog-friendly office in SoHo Market-competitive compensation and equity packages Comprehensive Healthcare, Dental, and Vision Company supported mental health benefits 12 week paid parental leave Competitive 401k plan with company match Flexible PTO Discounted fresh food for your pup Your pet interrupting video calls (and in-person meetings) is now a feature, not a bug Equal Employment Opportunity Statement The Farmer's Dog, Inc. is an equal employment opportunity employer and does not discriminate in hiring on the basis of sex, gender identity, sexual orientation, race, color, religion, creed, national origin, physical or mental disability, protected veteran status or any other legally protected characteristic or status. For more information, please visit Know Your Rights. Reasonable Accommodations TFD complies with applicable federal, state, and local disability laws and makes reasonable accommodations for applicants and employees with disabilities. If a 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 humansops@thefarmersdog.com. We're Here to Help We’re happy to answer any questions you may have about the position or our hiring process - please reach out at careers@thefarmersdog.com. We commit to building a competitive compensation package and company environment for all individuals to thrive. We believe in competitive base compensation rooted in location specific market data and performance along with equity ownership in the company that allows every team member to build their personal wealth as the company grows, just as much as we believe in fostering a culture that supports our team members personally, professionally, and holistically. For this role the anticipated hiring base compensation range is USD annual and the compensation offered will include a robust market competitive package of base and equity. In addition to your base compensation offer you will also receive equity ownership in the company. More information about the value of this equity will be shared at the time of offer. This range is representative of NYC Market Data if you are applying to this role outside of the NYC area the range may change. NYC Pay Range $70,000—$80,000 USD", "summaryDescription" : "Food Science Associate at The Farmer's Dog. Skills: Food science experiments, Product development projects, Sample management. Coordinate food science experiments. Track food science experiments", "postedDate" : "2026-06-11T07:07:40.761", "createdAt" : "2026-06-11T07:07:40.761", "lastUpdated" : "2026-06-11T07:23:09.634", "ingestTimestamp" : "2026-06-11T07:07:40.761", "mongoId" : "6a2a3ee774d8ee00a05bf419", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 70000, "salaryAnnualMax" : 80000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Nutrient analysis", "Feeding trials", "Plant trials", "Food science experiments", "Product development projects", "Sample management", "Food science", "Product development", "Project coordination", "Documentation management", "Cross-functional communication", "Data compilation", "Data organization", "Risk identification", "Bottleneck identification", "Documentation gap identification", "Timeline tracking", "Milestone documentation", "Pet food industry", "Animal nutrition" ], "skillCount" : 20, "jobCategory" : "other", "jobSubcategory" : "innovation", "dataQualityScore" : 0.7777778, "_score" : 1017.3063, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Pet Food" }, { "id" : "6a2512b774d8ee00a00b6424", "title" : "Computer Science PhD", "industry" : "Software Engineering", "salary" : { "min" : 150.0, "max" : 150.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Denmark", "locations" : [ "Denmark" ], "timestamp" : "2026-06-08T04:28:33.764", "fingerprint" : "98803c90752a413feba8836fbf80d4520b37468e077a65a113f06ff4700fd919", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/anyone-ai/cd775702-36e4-401b-96ec-841d1900d510/application", "externalId" : "cd775702-36e4-401b-96ec-841d1900d510", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "na", "workMode" : "remote" } ], "locationText" : "", "employmentType" : "PART_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Machine Learning, AI", "professionalSkills" : [ "AI model training", "AI model evaluation", "Technical prompt crafting", "Technical prompt answering" ], "hardSkillsList" : [ "Factual accuracy assessment", "Technical quality assessment", "Relevance assessment", "Reasoning quality evaluation", "Completeness evaluation", "Clarity evaluation", "Error identification", "Inconsistency identification", "Hallucination identification", "Weak reasoning identification", "Feedback provision" ], "hardSkills" : [ { "name" : "Factual accuracy assessment", "level" : "intermediate" }, { "name" : "Technical quality assessment", "level" : "intermediate" }, { "name" : "Relevance assessment", "level" : "intermediate" }, { "name" : "Reasoning quality evaluation", "level" : "intermediate" }, { "name" : "Completeness evaluation", "level" : "intermediate" }, { "name" : "Clarity evaluation", "level" : "intermediate" }, { "name" : "Error identification", "level" : "intermediate" }, { "name" : "Inconsistency identification", "level" : "intermediate" }, { "name" : "Hallucination identification", "level" : "intermediate" }, { "name" : "Weak reasoning identification", "level" : "intermediate" }, { "name" : "Feedback provision", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, AI, Model evaluation", "majorSkillsList" : [ "Machine Learning", "AI", "Model evaluation" ], "coreResponsibilities" : "Assess factual accuracy of AI-generated text, Assess technical quality of AI-generated text, Assess relevance of AI-generated text, Craft advanced questions, Answer advanced questions, Evaluate AI-generated responses, Compare AI-generated responses, Rank AI-generated responses, Identify errors in model outputs, Identify inconsistencies in model outputs, Identify hallucinations in model outputs, Identify weak reasoning in model outputs, Provide clear feedback", "domainKnowledge" : "Machine Learning; Artificial Intelligence; Natural Language Processing; Computer Vision; Reinforcement Learning; Data Science", "domainList" : [ "machine-learning", "artificial-intelligence", "natural-language-processing", "computer-vision", "reinforcement-learning", "data-science" ], "domainSpecificKnowledge" : [ "Machine Learning", "Artificial Intelligence", "Natural Language Processing", "Computer Vision", "Reinforcement Learning", "Data Science" ], "communicationSkills" : "Technical writing", "problemSolvingSkills" : "Analytical judgment", "qualificationsBasic" : "Experience working as a Machine Learning Engineer, Experience working as an AI Researcher, Experience working as an Applied Scientist, Experience working as a Data Scientist, Comparable highly technical or analytical role experience, Understanding of core Machine Learning and AI concepts, Ability to write clearly, precisely, and fluently in English about complex technical topics, Analytical judgment, Attention to detail", "qualificationsPreferred" : "PhD in Machine Learning, PhD in Artificial Intelligence, PhD in an adjacent field, PhD in Computer Science, PhD in Statistics, PhD in Applied Mathematics, PhD in Computational Neuroscience, PhD in Natural Language Processing, PhD in Computer Vision, PhD in Reinforcement Learning, PhD in Data Science", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "OVERVIEW We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models. In this role, you will apply your domain expertise to assess AI-generated content, create high-quality technical prompts and answers, and evaluate model responses for accuracy, relevance, and clarity. This is a remote, flexible opportunity for experts who want to contribute to the development of better AI systems. COMPENSATION - US$150 per hour KEY RESPONSIBILITIES As a Machine Learning / AI Expert, you may contribute by: - Assessing the factual accuracy, technical quality, and relevance of AI-generated text related to Machine Learning and Artificial Intelligence. - Crafting and answering advanced questions across Machine Learning, AI, and adjacent technical domains. - Evaluating, comparing, and ranking AI-generated responses based on correctness, reasoning quality, completeness, and clarity. - Identifying errors, inconsistencies, hallucinations, or weak reasoning in model outputs. - Providing clear feedback that helps improve the performance of AI systems. IDEAL QUALIFICATIONS We are especially interested in candidates with one or more of the following: - A PhD in Machine Learning, Artificial Intelligence, or an adjacent field, such as Computer Science, Statistics, Applied Mathematics, Computational Neuroscience, Natural Language Processing, Computer Vision, Reinforcement Learning, or Data Science. - Experience working as a Machine Learning Engineer, AI Researcher, Applied Scientist, Data Scientist, or in a comparable highly technical or analytical role. - Strong understanding of core Machine Learning and AI concepts, including model training, evaluation, optimization, and real-world application. - Ability to write clearly, precisely, and fluently in English about complex technical topics. - Strong analytical judgment and attention to detail. WORK ARRANGEMENT - Remote - Flexible hours", "summaryDescription" : "Computer Science PhD. Skills: Machine Learning, AI, Model evaluation. Assess factual accuracy of AI-generated text. Assess technical quality of AI-generated text", "postedDate" : "2026-06-07T09:25:04.047", "createdAt" : "2026-06-07T09:25:04.047", "lastUpdated" : "2026-06-08T04:28:33.764", "ingestTimestamp" : "2026-06-07T09:25:04.047", "mongoId" : "6a2512b774d8ee00a00b6424", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 150, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Factual accuracy assessment", "Technical quality assessment", "Relevance assessment", "Reasoning quality evaluation", "Completeness evaluation", "Clarity evaluation", "Error identification", "Inconsistency identification", "Hallucination identification", "Weak reasoning identification", "Feedback provision", "Machine Learning", "AI", "Model evaluation", "AI model training", "AI model evaluation", "Technical prompt crafting", "Technical prompt answering", "Artificial Intelligence", "Natural Language Processing", "Computer Vision", "Reinforcement Learning", "Data Science" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "software-engineering", "dataQualityScore" : 0.7777778, "_score" : 966.99133, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a259dfa74d8ee00a01aaf00", "title" : "Electrical Engineer & Python Expert - Freelance AI Trainer", "company" : "Mindrift", "salary" : { "max" : 39.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-14T03:27:25.953", "fingerprint" : "531b08a75baa3903a8d982b71c1f191228f2961cf7acb8dcb99c0d6d1c649005", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/27992ECBA4/apply", "externalId" : "27992ECBA4", "locationPoint" : "56.1304,-106.3468", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "PART_TIME", "minimumEducation" : "Degree", "technicalSkills" : "Python, ngspice, scikit-rf, python-control, pandapower, PyPSA", "professionalSkills" : [ "Computational engineering" ], "hardSkillsList" : [ "Circuit design", "Simulation kernels", "Domain-specific models" ], "hardSkills" : [ { "name" : "Circuit design", "level" : "intermediate" }, { "name" : "Simulation kernels", "level" : "intermediate" }, { "name" : "Domain-specific models", "level" : "intermediate" } ], "majorSkills" : "Electrical Engineering, Python, AI Training", "majorSkillsList" : [ "Electrical Engineering", "Python", "AI Training" ], "coreResponsibilities" : "Design computational engineering problems, Write Python reference solution, Supply netlist files, Supply circuit definitions, Decide numerical answer, Set domain tolerance, Test problem against model, Tune problem difficulty, Rewrite circuit topologies, Tighten operating conditions", "teamCollaboration" : "Senior reviewer feedback", "domainKnowledge" : "Electrical engineering; Control systems; Power systems", "domainList" : [ "electrical-engineering", "control-systems", "power-systems" ], "domainSpecificKnowledge" : [ "Electrical engineering", "Control systems", "Power systems" ], "toolProficiency" : [ "ngspice", "scikit-rf", "python-control", "pandapower", "PyPSA" ], "communicationSkills" : "English proficiency", "documentationSkills" : "Write reference solution; Supply netlist files; Supply circuit definitions", "continuousLearning" : "Independently learn tools", "problemSolvingSkills" : "Design problems; Tune problem difficulty; Debug simulation stalls; Debug solver convergence", "outcomesObjectives" : "Succeed in small number of attempts; Task scores within range; Ensure task quality is high; Pass rate in 10–30% band", "qualificationsBasic" : "Degree in Electrical Engineering, 2+ years research, applied, or teaching, Python proficiency, written English (C1+)", "qualificationsPreferred" : "Fluency with scriptable electrical engineering package, Willingness to learn scriptable electrical engineering package", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "_**Please submit your CV in English and indicate your level of English proficiency.**_ Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. **Participation isproject-based, not permanent employment.** **What this opportunity involves** You design computational engineering problems to challenge a frontier AI model. The problem must have an answer verifiable by code, and the problem has to require a specialized tool like ngspice, scikit-rf, python-control, pandapower, or others. Generic numerical libraries on their own won't cut it. Each problem runs inside a sealed Linux container with the tool pre-installed and a programmatic judge that grades the model's answer. As an expert author, you: • Pick an anchor tool and design a problem that hinges on its solvers, simulation kernels, or domain-specific models. • Write a Python reference solution, supply netlist files and circuit definitions where needed. • Decide the numerical answer and how close the model needs to get — with a domain-appropriate tolerance — to count as right. • Test the problem against the model in batches of parallel attempts, tuning the problem difficulty until the agent only succeeds in a small number of attempts. • Once you're happy with the task, and it scores within range, the task goes to a senior reviewer in your subfield. They will provide feedback to ensure task quality is high. Calibration requires patience. You're tuning the problem against batches of parallel runs of the agent, aiming for a pass rate in the 10–30% band. Reaching that means rewriting circuit topologies, tightening operating conditions, and watching how the agents act. You'll learn how these agents cut corners, where a simulation stalls, where a solver converges. This time compounds in two directions. You come out of each task with deeper command of the anchor tool itself, and also get a hands-on working intuition for how a frontier model navigates complex circuit, control, and power systems problems. **What we look for** This opportunity is a good fit for engineers with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: • Degree in Electrical Engineering or related field; • 2+ years of research, applied, or teaching experience; • Python proficiency for writing reference solutions; • Fluency with — or strong willingness to independently learn — at least one scriptable electrical engineering package: ngspice, scikit-rf, python-control, pandapower, PyPSA, or similar tools from the broader engineering catalogue; • Ability to design problems that genuinely require a specialized solver; • Strong written English (C1+). No prior experience with the listed tools? You're still welcome to apply — as long as you're ready to get up to speed on your own and hit the ground running. **How it works** Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid **Project time expectations** For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. **Compensation** On this project, contributors can earn up to **$39 per hour equivalent** , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.", "summaryDescription" : "Electrical Engineer & Python Expert - Freelance AI Trainer at Mindrift. Skills: Electrical Engineering, Python, AI Training. Design computational engineering problems. Write Python reference solution", "postedDate" : "2026-06-07T00:00:00.000", "createdAt" : "2026-06-12T01:33:21.892", "lastUpdated" : "2026-06-14T03:27:25.953", "ingestTimestamp" : "2026-06-12T01:33:21.892", "mongoId" : "6a259dfa74d8ee00a01aaf00", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/27992ECBA4", "salaryAnnualMax" : 81120, "hasSalary" : false, "allSkills" : [ "Circuit design", "Simulation kernels", "Domain-specific models", "Electrical Engineering", "Python", "AI Training", "Computational engineering", "Electrical engineering", "Control systems", "Power systems", "ngspice", "scikit-rf", "python-control", "pandapower", "PyPSA" ], "skillCount" : 15, "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "_score" : 965.168, "daysOld" : 7, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2512b774d8ee00a00b6421", "title" : "Computer Science PhD", "industry" : "Software Engineering", "salary" : { "min" : 150.0, "max" : 150.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Sweden", "locations" : [ "Sweden" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-08T05:28:28.577", "fingerprint" : "a04b08d29c17a6ac5ef0a77fa1e6c304fa35f947fbc4bca62e9148af777fa4a7", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/anyone-ai/5770ba6f-7a59-4faa-a5ee-d3ca0f0c5199/application", "externalId" : "5770ba6f-7a59-4faa-a5ee-d3ca0f0c5199", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "na", "workMode" : "remote" } ], "locationText" : "", "employmentType" : "PART_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Machine Learning, AI, Python, R, Scala, Spark, dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, dbt Cloud, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Regression, Classification, Clustering, Time-series, A/B testing, Causal inference, AWS, S3, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "AI model training", "AI model evaluation", "Technical prompt crafting", "Technical answer crafting" ], "hardSkillsList" : [ "Factual accuracy assessment", "Technical quality assessment", "Relevance assessment", "Response evaluation", "Reasoning quality evaluation", "Completeness evaluation", "Clarity evaluation", "Error identification", "Inconsistency identification", "Hallucination identification", "Weak reasoning identification", "Feedback provision" ], "hardSkills" : [ { "name" : "Factual accuracy assessment", "level" : "intermediate" }, { "name" : "Technical quality assessment", "level" : "intermediate" }, { "name" : "Relevance assessment", "level" : "intermediate" }, { "name" : "Response evaluation", "level" : "intermediate" }, { "name" : "Reasoning quality evaluation", "level" : "intermediate" }, { "name" : "Completeness evaluation", "level" : "intermediate" }, { "name" : "Clarity evaluation", "level" : "intermediate" }, { "name" : "Error identification", "level" : "intermediate" }, { "name" : "Inconsistency identification", "level" : "intermediate" }, { "name" : "Hallucination identification", "level" : "intermediate" }, { "name" : "Weak reasoning identification", "level" : "intermediate" }, { "name" : "Feedback provision", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, AI, Model evaluation, Prompt engineering", "majorSkillsList" : [ "Machine Learning", "AI", "Model evaluation", "Prompt engineering" ], "coreResponsibilities" : "Assess factual accuracy of AI text, Assess technical quality of AI text, Assess relevance of AI text, Craft advanced questions, Answer advanced questions, Evaluate AI-generated responses, Compare AI-generated responses, Rank AI-generated responses, Identify errors in model outputs, Identify inconsistencies in model outputs, Identify hallucinations in model outputs, Identify weak reasoning in model outputs, Provide clear feedback", "domainKnowledge" : "Machine Learning; Artificial Intelligence; Natural Language Processing; Computer Vision; Reinforcement Learning; Data Science", "domainList" : [ "machine-learning", "artificial-intelligence", "natural-language-processing", "computer-vision", "reinforcement-learning", "data-science" ], "domainSpecificKnowledge" : [ "Machine Learning", "Artificial Intelligence", "Natural Language Processing", "Computer Vision", "Reinforcement Learning", "Data Science" ], "communicationSkills" : "Technical writing", "problemSolvingSkills" : "Analytical judgment", "outcomesObjectives" : "Improve performance of AI systems", "qualificationsBasic" : "PhD in Machine Learning, PhD in Artificial Intelligence, PhD in Computer Science, PhD in Statistics, PhD in Applied Mathematics, PhD in Computational Neuroscience, PhD in Natural Language Processing, PhD in Computer Vision, PhD in Reinforcement Learning, PhD in Data Science, Experience as Machine Learning Engineer, Experience as AI Researcher, Experience as Applied Scientist, Experience as Data Scientist, Understanding of core ML/AI concepts, Ability to write clearly in English, Analytical judgment, Attention to detail", "qualificationsPreferred" : "GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "OVERVIEW We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models. In this role, you will apply your domain expertise to assess AI-generated content, create high-quality technical prompts and answers, and evaluate model responses for accuracy, relevance, and clarity. This is a remote, flexible opportunity for experts who want to contribute to the development of better AI systems. COMPENSATION - US$150 per hour KEY RESPONSIBILITIES As a Machine Learning / AI Expert, you may contribute by: - Assessing the factual accuracy, technical quality, and relevance of AI-generated text related to Machine Learning and Artificial Intelligence. - Crafting and answering advanced questions across Machine Learning, AI, and adjacent technical domains. - Evaluating, comparing, and ranking AI-generated responses based on correctness, reasoning quality, completeness, and clarity. - Identifying errors, inconsistencies, hallucinations, or weak reasoning in model outputs. - Providing clear feedback that helps improve the performance of AI systems. IDEAL QUALIFICATIONS We are especially interested in candidates with one or more of the following: - A PhD in Machine Learning, Artificial Intelligence, or an adjacent field, such as Computer Science, Statistics, Applied Mathematics, Computational Neuroscience, Natural Language Processing, Computer Vision, Reinforcement Learning, or Data Science. - Experience working as a Machine Learning Engineer, AI Researcher, Applied Scientist, Data Scientist, or in a comparable highly technical or analytical role. - Strong understanding of core Machine Learning and AI concepts, including model training, evaluation, optimization, and real-world application. - Ability to write clearly, precisely, and fluently in English about complex technical topics. - Strong analytical judgment and attention to detail. WORK ARRANGEMENT - Remote - Flexible hours", "summaryDescription" : "Computer Science PhD. Skills: Machine Learning, AI, Model evaluation, Prompt engineering. Assess factual accuracy of AI text. Assess technical quality of AI text", "postedDate" : "2026-06-07T09:26:55.317", "createdAt" : "2026-06-07T09:26:55.317", "lastUpdated" : "2026-06-08T05:28:28.577", "ingestTimestamp" : "2026-06-07T09:26:55.317", "mongoId" : "6a2512b774d8ee00a00b6421", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 150, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Factual accuracy assessment", "Technical quality assessment", "Relevance assessment", "Response evaluation", "Reasoning quality evaluation", "Completeness evaluation", "Clarity evaluation", "Error identification", "Inconsistency identification", "Hallucination identification", "Weak reasoning identification", "Feedback provision", "Machine Learning", "AI", "Model evaluation", "Prompt engineering", "AI model training", "AI model evaluation", "Technical prompt crafting", "Technical answer crafting", "Artificial Intelligence", "Natural Language Processing", "Computer Vision", "Reinforcement Learning", "Data Science", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "skillCount" : 29, "jobCategory" : "engineering", "jobSubcategory" : "software-engineering", "dataQualityScore" : 0.7777778, "_score" : 962.0374, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2512b774d8ee00a00b6423", "title" : "Computer Science PhD", "industry" : "Software Engineering", "salary" : { "min" : 150.0, "max" : 150.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Denmark", "locations" : [ "Denmark" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-08T06:49:51.585", "fingerprint" : "2d4a8301a7f2e53e90b10f804f93f3b2f0c25a15042731dd53a9b01e035341d3", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/anyone-ai/1765b679-86a9-4c6b-aab1-cf92a5aca3fc/application", "externalId" : "1765b679-86a9-4c6b-aab1-cf92a5aca3fc", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "na", "workMode" : "remote" } ], "locationText" : "", "employmentType" : "PART_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Machine Learning, AI, Python, R, Scala, Spark, dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, dbt Cloud, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Regression, Classification, Clustering, Time-series, A/B testing, Causal inference, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "AI model training", "AI model evaluation", "Technical prompt creation", "Technical prompt answering", "AI response evaluation" ], "hardSkillsList" : [ "Factual accuracy assessment", "Technical quality assessment", "Relevance assessment", "Reasoning quality evaluation", "Completeness evaluation", "Clarity evaluation", "Error identification", "Inconsistency identification", "Hallucination identification", "Weak reasoning identification", "Feedback provision" ], "hardSkills" : [ { "name" : "Factual accuracy assessment", "level" : "intermediate" }, { "name" : "Technical quality assessment", "level" : "intermediate" }, { "name" : "Relevance assessment", "level" : "intermediate" }, { "name" : "Reasoning quality evaluation", "level" : "intermediate" }, { "name" : "Completeness evaluation", "level" : "intermediate" }, { "name" : "Clarity evaluation", "level" : "intermediate" }, { "name" : "Error identification", "level" : "intermediate" }, { "name" : "Inconsistency identification", "level" : "intermediate" }, { "name" : "Hallucination identification", "level" : "intermediate" }, { "name" : "Weak reasoning identification", "level" : "intermediate" }, { "name" : "Feedback provision", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Artificial Intelligence, AI Model Evaluation, Technical Prompting", "majorSkillsList" : [ "Machine Learning", "Artificial Intelligence", "AI Model Evaluation", "Technical Prompting" ], "coreResponsibilities" : "Assess factual accuracy of AI text, Assess technical quality of AI text, Assess relevance of AI text, Craft advanced questions, Answer advanced questions, Evaluate AI-generated responses, Compare AI-generated responses, Rank AI-generated responses, Identify errors in model outputs, Identify inconsistencies in model outputs, Identify hallucinations in model outputs, Identify weak reasoning in model outputs, Provide clear feedback", "domainKnowledge" : "Machine Learning; 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In this role, you will apply your domain expertise to assess AI-generated content, create high-quality technical prompts and answers, and evaluate model responses for accuracy, relevance, and clarity. This is a remote, flexible opportunity for experts who want to contribute to the development of better AI systems. COMPENSATION - US$150 per hour KEY RESPONSIBILITIES As a Machine Learning / AI Expert, you may contribute by: - Assessing the factual accuracy, technical quality, and relevance of AI-generated text related to Machine Learning and Artificial Intelligence. - Crafting and answering advanced questions across Machine Learning, AI, and adjacent technical domains. - Evaluating, comparing, and ranking AI-generated responses based on correctness, reasoning quality, completeness, and clarity. - Identifying errors, inconsistencies, hallucinations, or weak reasoning in model outputs. - Providing clear feedback that helps improve the performance of AI systems. IDEAL QUALIFICATIONS We are especially interested in candidates with one or more of the following: - A PhD in Machine Learning, Artificial Intelligence, or an adjacent field, such as Computer Science, Statistics, Applied Mathematics, Computational Neuroscience, Natural Language Processing, Computer Vision, Reinforcement Learning, or Data Science. - Experience working as a Machine Learning Engineer, AI Researcher, Applied Scientist, Data Scientist, or in a comparable highly technical or analytical role. - Strong understanding of core Machine Learning and AI concepts, including model training, evaluation, optimization, and real-world application. - Ability to write clearly, precisely, and fluently in English about complex technical topics. - Strong analytical judgment and attention to detail. WORK ARRANGEMENT - Remote - Flexible hours", "summaryDescription" : "Computer Science PhD. Skills: Machine Learning, Artificial Intelligence, AI Model Evaluation, Technical Prompting. 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Assess technical quality of AI text", "postedDate" : "2026-06-07T09:27:42.055", "createdAt" : "2026-06-07T09:27:42.055", "lastUpdated" : "2026-06-08T06:49:51.585", "ingestTimestamp" : "2026-06-07T09:27:42.055", "mongoId" : "6a2512b774d8ee00a00b6423", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 150, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Factual accuracy assessment", "Technical quality assessment", "Relevance assessment", "Reasoning quality evaluation", "Completeness evaluation", "Clarity evaluation", "Error identification", "Inconsistency identification", "Hallucination identification", "Weak reasoning identification", "Feedback provision", "Machine Learning", "Artificial Intelligence", "AI Model Evaluation", "Technical Prompting", "AI model training", "AI model evaluation", "Technical prompt creation", "Technical prompt answering", "AI response evaluation", "Natural Language Processing", "Computer Vision", "Reinforcement Learning", "Data Science", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "software-engineering", "dataQualityScore" : 0.7777778, "_score" : 954.7207, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2512b774d8ee00a00b641a", "title" : "Computer Science PhD", "industry" : "Software Engineering", "salary" : { "min" : 150.0, "max" : 150.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Argentina - Fully Remote", "locations" : [ "Argentina - Fully Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "timestamp" : "2026-06-08T08:43:32.986", "fingerprint" : "fad691f0eec4672cf19eb2b5a02f214f2cbce0c89024292db7b59a0be1f34cf2", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/anyone-ai/54807946-7328-4e6f-9d43-3243ac9b0d04/application", "externalId" : "54807946-7328-4e6f-9d43-3243ac9b0d04", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Argentina", "continent" : "sa", "workMode" : "remote" } ], "locationText" : "Argentina", "employmentType" : "PART_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Machine Learning, AI, Python, R, Scala, Spark, dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, dbt Cloud, Delta Lake, scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, GCP, Vertex AI, Azure, ML Studio", "professionalSkills" : [ "AI model training", "AI model evaluation", "Technical prompt creation", "Technical answer creation", "Model response evaluation", "Content assessment" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "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" : "Machine Learning, Artificial Intelligence, AI Model Evaluation, Technical Prompting", "majorSkillsList" : [ "Machine Learning", "Artificial Intelligence", "AI Model Evaluation", "Technical Prompting" ], "coreResponsibilities" : "Assess factual accuracy of AI text, Assess technical quality of AI text, Assess relevance of AI text, Craft advanced questions, Answer advanced questions, Evaluate AI-generated responses, Compare AI-generated responses, Rank AI-generated responses, Identify errors in model outputs, Identify inconsistencies in model outputs, Identify hallucinations in model outputs, Identify weak reasoning in model outputs, Provide clear feedback", "domainKnowledge" : "Machine Learning; Artificial Intelligence; Natural Language Processing; Computer Vision; Reinforcement Learning; Data Science", "domainList" : [ "machine-learning", "artificial-intelligence", "natural-language-processing", "computer-vision", "reinforcement-learning", "data-science" ], "domainSpecificKnowledge" : [ "Machine Learning", "Artificial Intelligence", "Natural Language Processing", "Computer Vision", "Reinforcement Learning", "Data Science" ], "communicationSkills" : "Technical writing", "problemSolvingSkills" : "Analytical judgment", "outcomesObjectives" : "Improve AI system performance", "qualificationsBasic" : "PhD in Machine Learning, PhD in Artificial Intelligence, PhD in Computer Science, PhD in Statistics, PhD in Applied Mathematics, PhD in Computational Neuroscience, PhD in Natural Language Processing, PhD in Computer Vision, PhD in Reinforcement Learning, PhD in Data Science, Experience as Machine Learning Engineer, Experience as AI Researcher, Experience as Applied Scientist, Experience as Data Scientist, Understanding of core ML/AI concepts, Ability to write clearly in English, Analytical judgment, Attention to detail", "qualificationsPreferred" : "GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "OVERVIEW We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models. In this role, you will apply your domain expertise to assess AI-generated content, create high-quality technical prompts and answers, and evaluate model responses for accuracy, relevance, and clarity. This is a remote, flexible opportunity for experts who want to contribute to the development of better AI systems. COMPENSATION - US$150 per hour KEY RESPONSIBILITIES As a Machine Learning / AI Expert, you may contribute by: - Assessing the factual accuracy, technical quality, and relevance of AI-generated text related to Machine Learning and Artificial Intelligence. - Crafting and answering advanced questions across Machine Learning, AI, and adjacent technical domains. - Evaluating, comparing, and ranking AI-generated responses based on correctness, reasoning quality, completeness, and clarity. - Identifying errors, inconsistencies, hallucinations, or weak reasoning in model outputs. - Providing clear feedback that helps improve the performance of AI systems. IDEAL QUALIFICATIONS We are especially interested in candidates with one or more of the following: - A PhD in Machine Learning, Artificial Intelligence, or an adjacent field, such as Computer Science, Statistics, Applied Mathematics, Computational Neuroscience, Natural Language Processing, Computer Vision, Reinforcement Learning, or Data Science. - Experience working as a Machine Learning Engineer, AI Researcher, Applied Scientist, Data Scientist, or in a comparable highly technical or analytical role. - Strong understanding of core Machine Learning and AI concepts, including model training, evaluation, optimization, and real-world application. - Ability to write clearly, precisely, and fluently in English about complex technical topics. - Strong analytical judgment and attention to detail. WORK ARRANGEMENT - Remote - Flexible hours", "summaryDescription" : "Computer Science PhD. Skills: Machine Learning, Artificial Intelligence, AI Model Evaluation, Technical Prompting. Assess factual accuracy of AI text. Assess technical quality of AI text", "postedDate" : "2026-06-07T09:27:30.091", "createdAt" : "2026-06-07T09:27:30.091", "lastUpdated" : "2026-06-08T08:43:32.986", "ingestTimestamp" : "2026-06-07T09:27:30.091", "mongoId" : "6a2512b774d8ee00a00b641a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 150, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Machine Learning", "Artificial Intelligence", "AI Model Evaluation", "Technical Prompting", "AI model training", "AI model evaluation", "Technical prompt creation", "Technical answer creation", "Model response evaluation", "Content assessment", "Natural Language Processing", "Computer Vision", "Reinforcement Learning", "Data Science", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "dbt Certified" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "software-engineering", "dataQualityScore" : 0.7777778, "_score" : 954.7035, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a8a7974d8ee00a0682069", "title" : "Data Science & Analytics Manager", "company" : "Boeing", "salary" : { "min" : 183600.0, "max" : 183600.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "USA - Everett, WA", "locations" : [ "USA - Everett, WA", "United States of America" ], "timestamp" : "2026-06-13T20:15:09.704", "fingerprint" : "39a6e2a61270e37fa8fc29faffc7d5c48da15deaa164d008d1326978873279bc", "source" : "workday", "language" : "en", "applyUrl" : "https://boeing.wd1.myworkdayjobs.com/EXTERNAL_CAREERS/job/USA---Everett-WA/Data-Science---Analytics-Mgr--Data-Sci---Analytics-Mgr-_JR2026512924-1", "externalId" : "JR2026512924", "locationPoint" : "40.01147,-78.37335", "structuredLocations" : [ { "city" : "Everett", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.9793437,-122.2127011" }, { "city" : "Auburn", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.3075369,-122.2301808" } ], "locationText" : "Everett, Washington, United States; Auburn, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, AWS, GCP, Azure, Spark, Hadoop", "professionalSkills" : [ "Data science", "Data analytics", "Supply chain", "Business acumen", "Reporting", "Automation", "AI" ], "hardSkillsList" : [ "Data visualization", "Statistical modeling", "Machine learning", "AI models" ], "softSkillsList" : [ "Leadership", "Critical thinking", "Time management", "Problem solving", "Interpersonal skills" ], "hardSkills" : [ { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Critical thinking" }, { "name" : "Time management" }, { "name" : "Problem solving" }, { "name" : "Interpersonal skills" } ], "majorSkills" : "Data science, Data analytics, Machine learning, AI", "majorSkillsList" : [ "Data science", "Data analytics", "Machine learning", "AI" ], "coreResponsibilities" : "Manage data science employees, Manage analytics employees, Develop project plans, Execute project plans, Implement policies, Implement procedures, Set operational goals, Acquire project resources, Acquire process resources, Provide technical management of suppliers, Lead process improvements, Develop stakeholder partnerships, Maintain stakeholder partnerships, Provide vision, Provide oversight, Approve technical approaches, Approve products, Approve processes, Manage employees, Develop employees, Motivate employees, Translate business needs, Oversee data project execution, Champion data-first culture, Drive supply chain stability, Deliver efficient airplanes, Deliver efficient products, Bridge data infrastructure, Bridge statistical modeling, Bridge business strategy, Build scalable data solutions, Uncover actionable insights, Measure business performance", "teamCollaboration" : "Cross-functional stakeholders; Executive stakeholders; Peers; Partners; Direct reports", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Supply chain", "domainList" : [ "supply-chain" ], "domainSpecificKnowledge" : [ "Supply chain" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Microsoft Office" ], "communicationSkills" : "Executive presentations; Translating insights", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "U.S. Person required", "outcomesObjectives" : "Deliver safer airplanes; Deliver better airplanes; Deliver efficient airplanes; Deliver safer products; Deliver better products; Deliver efficient products", "qualificationsBasic" : "1 year leadership experience, 5+ years presentation experience, 5+ years Microsoft Office, 5+ years SQL, 5+ years Python or R, 5+ years BI tools, Communication skills", "qualificationsPreferred" : "5+ years leading teams, 1-2 years management experience, Bachelor's degree, Familiarity with cloud data environments, Familiarity with distributed computing tools, Experience building ML models, Experience deploying ML models, Aerospace domain knowledge, Supply chain domain knowledge, Critical thinking skills, Time management skills, Problem solving skills, Interpersonal skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Science & Analytics Manager **Company:** The Boeing Company ** _Job Description Summary:_** Boeing Commercial Airplanes is looking for a Data Science & Analytics Managers to join the Supply Chain Functional Excellence organization in **Everett, WA or Auburn, WA.** As the Data Science & Analytics Manager, you will join the AI, Reporting, & Automation organization, with a specific focus on AI & Automation or Reporting & Analytics. With sound business acumen and a foundational understanding of supply chain, you will lead a high-performing team of data analysts, scientists, and programmers to deploy supply chain solutions. You will translate ambiguous business needs into structured frameworks, and oversee the execution of data projects, and champion a data-first culture across the organization. You will work closely with executive stakeholders to drive supply chain stability and enable Boeing to deliver safer, better, and more efficient airplanes and products. You will bridge the gap between complex data infrastructure, statistical modeling, and business strategy. You will partner with cross-functional stakeholders to build scalable data solutions, uncover actionable insights, and measure business performance. **Position Responsibilities:** * Manage employees performing data science and analytics. * Develops and executes project and process plans, implements policies and procedures and sets operational goals. * Acquires resources for projects and processes, provides technical management of suppliers and leads process improvements. * Develops and maintains relationships and partnerships with customers, stakeholders, peers, partners and direct reports. * Provides vision, oversight, and approval of technical approaches, products and processes. * Manages, develops and motivates employees. **To be considered for this position you will be required to complete an assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.** **Basic Qualifications:** * Candidates must have at least one year of experience in a leadership role (team leader, temp manager, large scale cross functional project/program management, or formal manager experience) OR have completed the Boeing internal course “Exploring Leadership.” * 5+ years of experience in developing and delivering presentations to executive leadership with strong proficiency. * 5+ years of experience using Microsoft Office tools (Word, Outlook, Excel, and PowerPoint) * 5+ years of experience with SQL and programming languages such as Python or R. * 5+ years hands-on experience with BI and data visualization tools (e.g., Tableau, PowerBI, Looker). * Strong communication skills with a proven track record of translating complex data insights into actionable business strategies for non-technical stakeholders. **** **Preferred Qualifications:** * 5 + years of experience leading teams in data analytics or data science, with at least 1-2 years in a management or team-lead role. * Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field. * Familiarity with cloud data environments (e.g., AWS, GCP, or Azure) and distributed computing tools (e.g., Spark, Hadoop). * Experience building and deploying machine learning and AI models in a production environment. * Specific domain knowledge relevant to the aerospace industry and supply chain * Strong critical thinking, time management, problem solving, and interpersonal skills **Conflict of Interest:** Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process. **Shift:** **This role is primarily 1stSHIFT ; however, there may be additional shift requirements to support program objectives.** **Drug Free Workplace:** Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. **Pay & Benefits:** At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. **Summary Pay Range:****$183,600.00** \\- **$224,400.00** **Language Requirements:** Not Applicable **Education:** Not Applicable **Relocation:** Relocation assistance is not a negotiable benefit for this position. **Export Control Requirement:** This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. **Safety Sensitive:** This is not a Safety Sensitive Position. **Security Clearance:** This position does not require a Security Clearance. **Visa Sponsorship:** Employer will not sponsor applicants for employment visa status. **Contingent Upon Award Program** This position is not contingent upon program award **Shift:** Shift 1 (United States of America) **Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud** \\- [Recruitment Fraud Warning](http://www.boeing.com/careers/recruitment-fraud-warning.page) Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. [EEO is the law](http://www.boeing.com/resources/boeingdotcom/careers/footer/EEOIsTheLawPoster.pdf) [Boeing EEO Policy](https://tbcdn.talentbrew.com/company/185/v1_0/img/2018_Policy_Statement.pdf) [Request an Accommodation](http://www.boeing.com/careers/request-accommodation.page) [Applicant Privacy](http://www.boeing.com/careers/privacy-statement.page) **Boeing Participates in E – Verify** * [E-Verify (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterEnglish.pdf) * [E-Verify (Spanish) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterSpanish.pdf) **Right to Work Statement** * [Right to Work (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWEnglishversion.pdf) * [Right to Work (Spanish)](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWSpanishversion.pdf)", "summaryDescription" : "Data Science & Analytics Manager at Boeing. Skills: Data science, Data analytics, Machine learning, AI. Manage data science employees. Manage analytics employees", "postedDate" : "2026-06-10T17:13:06.030", "createdAt" : "2026-06-11T17:13:05.776", "lastUpdated" : "2026-06-13T20:15:09.704", "ingestTimestamp" : "2026-06-11T17:13:05.776", "mongoId" : "6a2a8a7974d8ee00a0682069", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://boeing.wd1.myworkdayjobs.com/EXTERNAL_CAREERS/job/USA---Everett-WA/Data-Science---Analytics-Mgr--Data-Sci---Analytics-Mgr-_JR2026512924-1", "salaryAnnualMin" : 183600, "salaryAnnualMax" : 183600, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data visualization", "Statistical modeling", "Machine learning", "AI models", "Leadership", "Critical thinking", "Time management", "Problem solving", "Interpersonal skills", "Data science", "Data analytics", "AI", "Supply chain", "Business acumen", "Reporting", "Automation", "Project management", "Tableau", "Power BI", "Looker", "Microsoft Office" ], "skillCount" : 21, "jobCategory" : "engineering", "seniorityLevel" : "manager", "dataQualityScore" : 1.0, "_score" : 949.8696, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a714274d8ee00a0648c12", "title" : "Subject Matter Expert – Natural Sciences (Italian)", "company" : "LILT", "industry" : "LiltLancer Community", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Subject Matter Expert in Natural Sciences in Italy, adjusted for the technology industry and remote work." }, "location" : "Italy (Remote)", "locations" : [ "Italy (Remote)" ], "timestamp" : "2026-06-13T08:43:34.618", "fingerprint" : "24bea957fa7cf27da40d2fc39d8ed64651063591e885b650254809eef9ad226e", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lilt-production/3ad72bd1-b051-4be1-a97d-eb4aac0e749d/application", "externalId" : "3ad72bd1-b051-4be1-a97d-eb4aac0e749d", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Italy", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Italy", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Natural Sciences" ], "majorSkills" : "Natural Sciences, AI benchmarking", "majorSkillsList" : [ "Natural Sciences", "AI benchmarking" ], "coreResponsibilities" : "Create natural sciences tasks in target language, Adapt and apply scoring rubrics, Evaluate AI-generated responses, Evaluate human responses, Review submissions for accuracy, Review submissions for regulatory alignment, Review submissions for professional quality, Provide expert feedback, Contribute to gold standard solutions", "domainKnowledge" : "Natural Sciences; AI systems", "domainList" : [ "natural-sciences", "ai-systems" ], "domainSpecificKnowledge" : [ "Natural Sciences", "AI systems" ], "communicationSkills" : "Professional English proficiency", "outcomesObjectives" : "High-quality AI understanding; High-quality AI performance", "qualificationsBasic" : "5+ years of experience in Natural Sciences, Native in the target language, Professional English proficiency, Ability to write and evaluate professional-grade natural sciences content in the target language", "qualificationsPreferred" : "knowledge of target local frameworks", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT THE OPPORTUNITY We are seeking experienced professionals in Natural Sciences to contribute to a cutting-edge AI benchmarking project in the target language. As a Subject Matter Expert, you will create and review high-quality, real-world natural sciences scenarios that evaluate AI systems in the target locale-specific contexts. Your expertise will directly shape how AI understands and performs in the compliant mathematical environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in the target language reflecting local natural sciences practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native in the target language with strong professional English proficiency - 5+ years of experience in Natural Sciences (e.g. biology, chemistry, physics, environmental science, earth sciences, or related disciplines) - Strong knowledge of target local frameworks - Ability to write and evaluate professional-grade natural sciences content in the target language with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Subject Matter Expert – Natural Sciences (Italian) at LILT. Skills: Natural Sciences, AI benchmarking. Create natural sciences tasks in target language. Adapt and apply scoring rubrics", "postedDate" : "2026-06-11T17:06:03.557", "createdAt" : "2026-06-11T17:06:03.557", "lastUpdated" : "2026-06-13T08:43:34.618", "ingestTimestamp" : "2026-06-11T17:06:03.557", "mongoId" : "6a2a714274d8ee00a0648c12", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Natural Sciences", "AI benchmarking", "AI systems" ], "skillCount" : 3, "jobCategory" : "other", "jobSubcategory" : "ai-data-services", "dataQualityScore" : 1.0, "_score" : 940.02014, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a714274d8ee00a0648c0f", "title" : "Subject Matter Expert – Natural Sciences (Russian)", "company" : "LILT", "industry" : "LiltLancer Community", "salary" : { "min" : 1200000.0, "max" : 2000000.0, "currency" : "UAH", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Subject Matter Expert in Natural Sciences in Ukraine, adjusted for the technology industry and remote work." }, "location" : "Ukraine (Remote)", "locations" : [ "Ukraine (Remote)", "USA (Remote)", "Israel", "Germany (Remote)" ], "timestamp" : "2026-06-13T09:07:10.655", "fingerprint" : "8831ad14301472911d3ae520a0001254c6687f552f16891cb68a499e19872029", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lilt-production/1d7426fa-6210-4e27-b8cb-d199e4baf528/application", "externalId" : "1d7426fa-6210-4e27-b8cb-d199e4baf528", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Ukraine", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Ukraine", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Natural Sciences", "AI benchmarking" ], "hardSkillsList" : [ "Content creation", "Content review", "Scoring rubrics", "Accuracy evaluation", "Regulatory alignment" ], "hardSkills" : [ { "name" : "Content creation", "level" : "intermediate" }, { "name" : "Content review", "level" : "intermediate" }, { "name" : "Scoring rubrics", "level" : "intermediate" }, { "name" : "Accuracy evaluation", "level" : "intermediate" }, { "name" : "Regulatory alignment", "level" : "intermediate" } ], "majorSkills" : "Natural Sciences, AI benchmarking, Content evaluation", "majorSkillsList" : [ "Natural Sciences", "AI benchmarking", "Content evaluation" ], "coreResponsibilities" : "Create natural sciences tasks, Adapt scoring rubrics, Apply scoring rubrics, Evaluate AI responses, Evaluate human responses, Review submissions, Score submissions, Provide expert feedback, Contribute to gold standard solutions", "domainKnowledge" : "Natural Sciences; Local frameworks", "domainList" : [ "natural-sciences", "local-frameworks" ], "domainSpecificKnowledge" : [ "Natural Sciences", "Local frameworks" ], "communicationSkills" : "Professional English", "outcomesObjectives" : "High-quality solutions", "qualificationsBasic" : "5+ years Natural Sciences experience, Native in target language, Professional English proficiency, Ability to write professional-grade content, Evaluate professional-grade content, High attention to detail", "qualificationsPreferred" : "Knowledge of local frameworks", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT THE OPPORTUNITY We are seeking experienced professionals in Natural Sciences to contribute to a cutting-edge AI benchmarking project in the target language. As a Subject Matter Expert, you will create and review high-quality, real-world natural sciences scenarios that evaluate AI systems in the target locale-specific contexts. Your expertise will directly shape how AI understands and performs in the compliant mathematical environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in the target language reflecting local natural sciences practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native in the target language with strong professional English proficiency - 5+ years of experience in Natural Sciences (e.g. biology, chemistry, physics, environmental science, earth sciences, or related disciplines) - Strong knowledge of target local frameworks - Ability to write and evaluate professional-grade natural sciences content in the target language with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Subject Matter Expert – Natural Sciences (Russian) at LILT. Skills: Natural Sciences, AI benchmarking, Content evaluation. Create natural sciences tasks. Adapt scoring rubrics", "postedDate" : "2026-06-11T19:12:37.058", "createdAt" : "2026-06-11T19:12:37.058", "lastUpdated" : "2026-06-13T09:07:10.655", "ingestTimestamp" : "2026-06-11T19:12:37.058", "mongoId" : "6a2a714274d8ee00a0648c0f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Content creation", "Content review", "Scoring rubrics", "Accuracy evaluation", "Regulatory alignment", "Natural Sciences", "AI benchmarking", "Content evaluation", "Local frameworks" ], "skillCount" : 9, "jobCategory" : "other", "jobSubcategory" : "ai-data-services", "dataQualityScore" : 1.0, "_score" : 936.77747, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a714274d8ee00a0648c0e", "title" : "Subject Matter Expert – Natural Sciences (Vietnamese)", "company" : "LILT", "industry" : "LiltLancer Community", "salary" : { "min" : 7.8E8, "max" : 1.3E9, "currency" : "VND", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Natural Sciences Subject Matter Experts in Vietnam, adjusted for the technology industry and remote work." }, "location" : "Vietnam (Remote)", "locations" : [ "Vietnam (Remote)" ], "timestamp" : "2026-06-13T07:09:42.321", "fingerprint" : "fa64e624bb64a8cf267d853d23c75d7a02506819fa7745cc44842a6f65c5a8ec", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lilt-production/7a825ef6-3e6f-428b-a70e-98ad9a856ef2/application", "externalId" : "7a825ef6-3e6f-428b-a70e-98ad9a856ef2", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Vietnam", "continent" : "as", "workMode" : "remote" } ], "locationText" : "Vietnam", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Natural Sciences" ], "hardSkillsList" : [ "Content evaluation", "Scoring rubrics" ], "hardSkills" : [ { "name" : "Content evaluation", "level" : "intermediate" }, { "name" : "Scoring rubrics", "level" : "intermediate" } ], "majorSkills" : "Natural Sciences, AI benchmarking", "majorSkillsList" : [ "Natural Sciences", "AI benchmarking" ], "coreResponsibilities" : "Create realistic, domain-specific tasks in target language, Adapt and apply clear scoring rubrics, Evaluate AI-generated and human responses, Review submissions for accuracy, Review submissions for regulatory alignment, Review submissions for professional quality, Provide expert feedback, Contribute to high-quality gold standard solutions", "domainKnowledge" : "Natural Sciences; AI systems", "domainList" : [ "natural-sciences", "ai-systems" ], "domainSpecificKnowledge" : [ "Natural Sciences", "AI systems" ], "communicationSkills" : "Professional English", "outcomesObjectives" : "Evaluate AI systems in target locale-specific contexts; Shape how AI understands and performs", "qualificationsBasic" : "Native in target language, Professional English proficiency, 5+ years of experience in Natural Sciences, Knowledge of target local frameworks, Ability to write and evaluate professional-grade natural sciences content in target language, High attention to detail", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT THE OPPORTUNITY We are seeking experienced professionals in Natural Sciences to contribute to a cutting-edge AI benchmarking project in the target language. As a Subject Matter Expert, you will create and review high-quality, real-world natural sciences scenarios that evaluate AI systems in the target locale-specific contexts. Your expertise will directly shape how AI understands and performs in the compliant mathematical environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in the target language reflecting local natural sciences practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native in the target language with strong professional English proficiency - 5+ years of experience in Natural Sciences (e.g. biology, chemistry, physics, environmental science, earth sciences, or related disciplines) - Strong knowledge of target local frameworks - Ability to write and evaluate professional-grade natural sciences content in the target language with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Subject Matter Expert – Natural Sciences (Vietnamese) at LILT. Skills: Natural Sciences, AI benchmarking. Create realistic, domain-specific tasks in target language. Adapt and apply clear scoring rubrics", "postedDate" : "2026-06-11T17:04:30.043", "createdAt" : "2026-06-11T17:04:30.043", "lastUpdated" : "2026-06-13T07:09:42.321", "ingestTimestamp" : "2026-06-11T17:04:30.043", "mongoId" : "6a2a714274d8ee00a0648c0e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Content evaluation", "Scoring rubrics", "Natural Sciences", "AI benchmarking", "AI systems" ], "skillCount" : 5, "jobCategory" : "other", "jobSubcategory" : "ai-data-services", "dataQualityScore" : 1.0, "_score" : 931.3069, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a21f90b74d8ee00a0d4b788", "title" : "Computer Science Expert with Python Experience - AI Projects", "company" : "Mindrift", "salary" : { "max" : 17.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Córdoba, Córdoba Province, Argentina", "locations" : [ "Córdoba, Córdoba Province, Argentina" ], "certifications" : [ "CMME", "SAS Certifications", "CAP" ], "timestamp" : "2026-06-05T11:17:19.074", "fingerprint" : "f3a2673bd56ef463abf41f5cca7d0224b182b0bb4addb9f90d636a84ad3fd63d", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/187525053A/apply", "externalId" : "187525053A", "locationPoint" : "-31.40648,-64.18853", "structuredLocations" : [ { "city" : "Córdoba", "state" : "Córdoba Province", "country" : "Argentina", "continent" : "sa", "source" : "llm", "workMode" : "onsite", "geo" : "-38.9537602,-68.0549952" } ], "locationText" : "Córdoba, Córdoba Province, Argentina", "employmentType" : "PART_TIME", "minimumEducation" : "Degree in Computer Science or related fields", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, NumPy, Pandas, SciPy, MATLAB, R, C, SQL, Stata", "professionalSkills" : [ "Computer Science problems", "AI solutions evaluation", "Numerical validation", "AI reasoning improvement", "Structured scoring criteria" ], "hardSkillsList" : [ "Numerical validation", "AI reasoning" ], "hardSkills" : [ { "name" : "Numerical validation", "level" : "intermediate" }, { "name" : "AI reasoning", "level" : "intermediate" } ], "majorSkills" : "Python, AI Projects, Computer Science", "majorSkillsList" : [ "Python", "AI Projects", "Computer Science" ], "coreResponsibilities" : "Design Computer Science problems, Evaluate AI solutions, Validate calculations, Validate simulations, Improve AI reasoning, Apply scoring criteria", "teamCollaboration" : "Global community of PhDs", "domainKnowledge" : "AI systems", "domainList" : [ "ai-systems" ], "domainSpecificKnowledge" : [ "AI systems" ], "communicationSkills" : "English proficiency", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Degree in Computer Science, Python proficiency, 2+ years professional experience, Written English C1+", "qualificationsPreferred" : "Professional certifications, Experience in international projects, Experience in applied projects", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "_**Please submit your CV in English and indicate your level of English proficiency.**_ Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. **Participation is project-based, not permanent employment.** **What this opportunity involves** While each project involves unique tasks, contributors may: * Design rigorous Computer Science problems reflecting professional practice; * Evaluate AI solutions for correctness, assumptions, and constraints; * Validate calculations or simulations using Python (NumPy, Pandas, SciPy); * Improve AI reasoning to align with industry-standard logic; * Apply structured scoring criteria to multi-step problems; * Collaborate with a global community of PhDs to ensure the highest scientific integrity. **What we look for** This opportunity is a good fit for Computer Science experts with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: * Degree in Computer Science or related fields. * Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent. * 2+ years of professional experience: applied, research, or teaching experience is applicable. * Strong written English (C1+) . * Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. **How it works** Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid **Project time expectations** For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. **Compensation** On this project, contributors can earn up to **$17 per hour equivalent** , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.", "summaryDescription" : "Computer Science Expert with Python Experience - AI Projects at Mindrift. Skills: Python, AI Projects, Computer Science. Design Computer Science problems. Evaluate AI solutions", "postedDate" : "2026-05-31T00:00:00.000", "createdAt" : "2026-06-05T01:51:17.377", "lastUpdated" : "2026-06-05T11:17:19.074", "ingestTimestamp" : "2026-06-05T01:51:17.377", "mongoId" : "6a21f90b74d8ee00a0d4b788", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/187525053A", "salaryAnnualMax" : 35360, "hasSalary" : false, "allSkills" : [ "Numerical validation", "AI reasoning", "Python", "AI Projects", "Computer Science", "Computer Science problems", "AI solutions evaluation", "AI reasoning improvement", "Structured scoring criteria", "AI systems", "CMME", "SAS Certifications", "CAP" ], "skillCount" : 13, "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 928.25305, "daysOld" : 5, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a21f90b74d8ee00a0d4b773", "title" : "Computer Science Expert with Python Experience - AI Projects", "company" : "Mindrift", "salary" : { "max" : 80.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Antonio, Texas, United States", "locations" : [ "San Antonio, Texas, United States" ], "certifications" : [ "CMME", "SAS Certifications", "CAP" ], "timestamp" : "2026-06-05T14:03:12.204", "fingerprint" : "b9411c40c977b9705f07c626ff518795eacea37c873abdf415795abf733f04fa", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/86557E6473/apply", "externalId" : "86557E6473", "locationPoint" : "29.42412,-98.49363", "structuredLocations" : [ { "city" : "San Antonio", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.4246002,-98.4951405" } ], "locationText" : "San Antonio, Texas, United States", "employmentType" : "PART_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, NumPy, Pandas, SciPy, MATLAB, R, C, SQL, Stata", "professionalSkills" : [ "Computer Science problems", "AI solutions evaluation", "Numerical validation", "AI reasoning improvement", "Structured scoring criteria" ], "hardSkillsList" : [ "Numerical validation", "AI reasoning" ], "hardSkills" : [ { "name" : "Numerical validation", "level" : "intermediate" }, { "name" : "AI reasoning", "level" : "intermediate" } ], "majorSkills" : "Python, AI Projects, Computer Science", "majorSkillsList" : [ "Python", "AI Projects", "Computer Science" ], "coreResponsibilities" : "Design Computer Science problems, Evaluate AI solutions, Validate calculations, Validate simulations, Improve AI reasoning, Apply scoring criteria", "teamCollaboration" : "Global community of PhDs", "domainKnowledge" : "AI systems", "domainList" : [ "ai-systems" ], "domainSpecificKnowledge" : [ "AI systems" ], "communicationSkills" : "English proficiency", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Degree in Computer Science, 2+ years of professional experience, written English (C1+)", "qualificationsPreferred" : "Professional certifications, Experience in international projects, Experience in applied projects", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "_**Please submit your CV in English and indicate your level of English proficiency.**_ Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. **Participation is project-based, not permanent employment.** **What this opportunity involves** While each project involves unique tasks, contributors may: * Design rigorous Computer Science problems reflecting professional practice; * Evaluate AI solutions for correctness, assumptions, and constraints; * Validate calculations or simulations using Python (NumPy, Pandas, SciPy); * Improve AI reasoning to align with industry-standard logic; * Apply structured scoring criteria to multi-step problems; * Collaborate with a global community of PhDs to ensure the highest scientific integrity. **What we look for** This opportunity is a good fit for Computer Science experts with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: * Degree in Computer Science or related fields. * Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent. * 2+ years of professional experience: applied, research, or teaching experience is applicable. * Strong written English (C1+) . * Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. **How it works** Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid **Project time expectations** For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. **Compensation** On this project, contributors can earn up to **$80 per hour equivalent** , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.", "summaryDescription" : "Computer Science Expert with Python Experience - AI Projects at Mindrift. Skills: Python, AI Projects, Computer Science. Design Computer Science problems. 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"Streaming UX", "Adaptive interfaces", "Prompt engineering", "Prompt management", "Context engineering", "AI evaluations", "AI governance", "AI guardrails", "AI-assisted development", "Prompt-driven engineering", "AI pair-programming", "Serverless infrastructure", "Edge infrastructure", "AI workload deployment", "AI workload optimisation", "CI/CD pipelines", "Infrastructure as Code", "REST APIs", "GraphQL APIs", "Microservices", "MACH architectures" ], "softSkillsList" : [ "Leadership", "Mentoring", "Curious mindset", "Experimental mindset", "Low ego", "Delivery-focused", "Systems thinker", "Resilient", "Adaptability" ], "hardSkills" : [ { "name" : "Frontend architecture", "level" : "intermediate" }, { "name" : "AI systems engineering", "level" : "intermediate" }, { "name" : "Generative experience design", "level" : "intermediate" }, { "name" : "Retrieval pipelines", "level" : "intermediate" }, { "name" : "Vector storage", "level" : "intermediate" }, { "name" : "Embeddings", "level" : 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"intermediate" }, { "name" : "Edge infrastructure", "level" : "intermediate" }, { "name" : "AI workload deployment", "level" : "intermediate" }, { "name" : "AI workload optimisation", "level" : "intermediate" }, { "name" : "CI/CD pipelines", "level" : "intermediate" }, { "name" : "Infrastructure as Code", "level" : "intermediate" }, { "name" : "REST APIs", "level" : "intermediate" }, { "name" : "GraphQL APIs", "level" : "intermediate" }, { "name" : "Microservices", "level" : "intermediate" }, { "name" : "MACH architectures", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Curious mindset" }, { "name" : "Experimental mindset" }, { "name" : "Low ego" }, { "name" : "Delivery-focused" }, { "name" : "Systems thinker" }, { "name" : "Resilient" }, { "name" : "Adaptability" } ], "majorSkills" : "Generative AI, Experience Engineering, AI-native architecture, Frontend architecture", "majorSkillsList" : [ "Generative AI", "Experience Engineering", "AI-native architecture", "Frontend architecture" ], "coreResponsibilities" : "Lead design of AI-native platforms, Lead architecture of AI-native platforms, Remain hands-on with engineering teams, Contribute to prototypes, Contribute to proof-of-concepts, Contribute to production acceleration, Manage engineering team, Mentor engineering team, Drive engineering quality, Drive technical direction, Drive delivery standards, Build AI-native customer experiences, Shape AI-native customer experiences, Experiment with AI tooling, Experiment with AI workflows, Experiment with engineering methodologies, Bring forward-thinking ideas into production, Shape AI transformation conversations, Shape technical strategy, Shape engineering roadmaps, Lead discovery sessions, Lead workshops, Lead architecture discussions, Translate technical complexity, Communicate technical viability, Communicate scalability, Communicate strategic value, Lead rapid proof-of-concepts, Lead innovation initiatives, Lead production acceleration, Operate comfortably in ambiguity, Balance experimentation, Balance delivery quality, Balance commercial realities, Drive AI-augmented engineering methodologies, Improve engineering processes, Improve engineering tooling, Improve technical standards", "teamCollaboration" : "Global AKQA studios; Design teams; Engineering teams; Innovation teams; Client stakeholders; Senior client stakeholders", "projectManagementSkills" : [ "Roadmap planning", "Delivery standards" ], "domainKnowledge" : "AI-native experiences; Customer experiences; Commerce experiences; Content experiences; Customer interfaces; AI systems engineering; Generative experience design; Frontend architecture; LLM ecosystems; Foundation models; Retrieval pipelines; Vector storage; Embeddings; Multi-agent systems; AI observability; Conversational rendering; Dynamic content assembly; Streaming UX; Adaptive interfaces; RAG pipelines; Vector databases; Tool calling; Agentic systems; Orchestration; Memory frameworks; Prompt engineering; Prompt management; Context engineering; AI evaluations; AI governance; AI guardrails; AI-assisted development; Prompt-driven engineering; AI pair-programming; Serverless infrastructure; Edge infrastructure; AI workload deployment; AI workload optimisation; CI/CD pipelines; Infrastructure as Code; REST APIs; GraphQL APIs; Microservices; MACH architectures; CMS; DXPs; MarTech ecosystems", "domainList" : [ "ai-native-experiences", "customer-experiences", "commerce-experiences", "content-experiences", "customer-interfaces", "ai-systems-engineering", "generative-experience-design", "frontend-architecture", "llm-ecosystems", "foundation-models", "retrieval-pipelines", "vector-storage", "embeddings", "multi-agent-systems", "ai-observability", "conversational-rendering", "dynamic-content-assembly", "streaming-ux", "adaptive-interfaces", "rag-pipelines", "vector-databases", "tool-calling", "agentic-systems", "orchestration", "memory-frameworks", "prompt-engineering", "prompt-management", "context-engineering", "ai-evaluations", "ai-governance", "ai-guardrails", "ai-assisted-development", "prompt-driven-engineering", "ai-pair-programming", "serverless-infrastructure", "edge-infrastructure", "ai-workload-deployment", "ai-workload-optimisation", "ci-cd-pipelines", "infrastructure-as-code", "rest-apis", "graphql-apis", "microservices", "mach-architectures", "cms", "dxps", "martech-ecosystems" ], "domainSpecificKnowledge" : [ "AI-native experiences", "Customer experiences", "Commerce experiences", "Content experiences", "Customer interfaces", "AI systems engineering", "Generative experience design", "Frontend architecture", "LLM ecosystems", "Foundation models", "Retrieval pipelines", "Vector storage", "Embeddings", "Multi-agent systems", "AI observability", "Conversational rendering", "Dynamic content assembly", "Streaming UX", "Adaptive interfaces", "RAG pipelines", "Vector databases", "Tool calling", "Agentic systems", "Orchestration", "Memory frameworks", "Prompt engineering", "Prompt management", "Context engineering", "AI evaluations", "AI governance", "AI guardrails", "AI-assisted development", "Prompt-driven engineering", "AI pair-programming", "Serverless infrastructure", "Edge infrastructure", "AI workload deployment", "AI workload optimisation", "CI/CD pipelines", "Infrastructure as Code", "REST APIs", "GraphQL APIs", "Microservices", "MACH architectures", "CMS", "DXPs", "MarTech ecosystems" ], "toolProficiency" : [ "OpenAI", "Gemini", "Claude", "OSS models", "Vector databases", "Claude Code", "Cursor", "Codex", "Vercel", "GCP", "AWS", "Azure" ], "communicationSkills" : "Client advisory; Technical strategy; Engineering roadmaps; Discovery sessions; Architecture discussions; Technical viability; Scalability; Strategic value; Explain complex AI systems; Explain engineering decisions", "continuousLearning" : "Experimentation cycles; Evolving technical landscapes", "innovationCreativity" : "Innovation initiatives; Prototype development; Proof-of-concepts", "problemSolvingSkills" : "Translate technical complexity; Operate comfortably in ambiguity; Balancing experimentation; Balancing delivery quality; Balancing commercial realities", "outcomesObjectives" : "Deliver meaningful returns for clients; Define next era of AI-native experiences; Deliver next generation of AI-native experiences", "qualificationsBasic" : "Hands-on technical leader, Experience across modern frontend engineering, Experience across AI-native architecture, Ability to design production-ready systems, Ability to deliver production-ready systems, Experience across modern LLM ecosystems, Experience across foundation models, Experience across retrieval pipelines, Experience across vector storage, Experience across embeddings, Experience across multi-agent systems, Experience across AI observability tooling, Experience designing systems for conversational rendering, Experience designing systems for dynamic content assembly, Experience designing systems for streaming UX, Experience designing systems for adaptive interfaces, Experience with OpenAI, Experience with Gemini, Experience with Claude, Experience with OSS models, Experience with RAG pipelines, Experience with vector databases, Experience with embeddings, Experience with chunking, Experience with tool calling, Experience with agentic systems, Experience with orchestration, Experience with memory frameworks, Experience with prompt engineering, Experience with prompt management, Experience with context engineering, Experience with AI observability, Experience with AI evaluations, Experience with AI governance, Experience with AI guardrails, Experience with AI-assisted development tooling, Experience with Claude Code, Experience with Cursor, Experience with Codex, Experience with prompt-driven engineering, Experience with AI pair-programming workflows, Experience with Vercel, Experience with serverless infrastructure, Experience with edge infrastructure, Experience with AI workload deployment, Experience with AI workload optimisation, Experience with CI/CD pipelines, Experience with Infrastructure as Code, Experience with REST APIs, Experience with GraphQL APIs, Experience with Microservices, Experience with MACH architectures, Experience with CMS, Experience with DXPs, Experience with MarTech ecosystems, Engineering or development background, Deep frontend architecture capability, Systems thinker", "qualificationsPreferred" : "Vercel preferred, GCP preferred, AWS considered, Azure considered", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At AKQA (part of WPP), we believe in the imaginative application of art and science to create beautiful ideas, products and services. With an entrepreneurial and collaborative approach, we design adaptive digital products, services and experiences that capture the imagination and deliver meaningful returns for our clients. At AKQA, you will help define the next era of AI-native customer experiences, not as a future concept, but as live products and platforms already moving into the world. The industry is entering a structural shift. Traditional digital experiences are becoming AI-native experiences, interfaces assembled in real-time around intent, conversation, retrieval and contextual generation. At AKQA, we are not exploring this future theoretically. We are already building it. We are looking for a Director, Generative AI Experience Engineering to help define and deliver the next generation of AI-native customer experiences across commerce, content and customer interfaces for some of the world’s most ambitious brands. This role sits at the intersection of AI systems engineering, generative experience design and modern frontend architecture leadership. We are not looking for a traditional engineering manager, nor a pure AI researcher removed from delivery. We are looking for a hands-on technical leader who can operate across architecture, engineering, experimentation, delivery and client advisory simultaneously. You will lead and mentor a small engineering team whilst remaining close to the code, prototyping new ideas, shaping AI-native architectures and helping clients navigate AI transformation with confidence and clarity. Based in a hybrid working environment, collaborating with global AKQA studios, you will work alongside some of the brightest minds in design, engineering and innovation, helping shape the future of AI-native experiences. ROLE REQUIREMENTS Technical Leadership Lead the design and architecture of AI-native experience platforms, from frontend rendering systems through to retrieval, orchestration and agentic workflows. Remain hands-on with engineering teams, contributing to prototypes, proof-of-concepts and production acceleration across emerging AI-enabled products and services. Manage and mentor a team of developers whilst driving engineering quality, technical direction and delivery standards. AI Systems & Experience Engineering Build and shape AI-native customer experiences driven by intent, contextual generation, retrieval and adaptive orchestration. Work across modern LLM ecosystems including foundation models, retrieval pipelines, vector storage, embeddings, multi-agent systems and AI observability tooling. Design systems that support conversational rendering, dynamic content assembly, streaming UX and adaptive interfaces. Actively experiment with AI tooling, workflows and engineering methodologies, bringing forward-thinking ideas into production environments. Client Advisory & Strategic Leadership Work directly with senior client stakeholders to shape AI transformation conversations, technical strategy and engineering roadmaps. Lead discovery sessions, workshops and architecture discussions, translating technical complexity into commercial and customer experience value. Act as the engineering authority within client engagements, confidently communicating what is technically viable, scalable and strategically valuable. Innovation & Delivery Lead rapid proof-of-concepts, innovation initiatives and production acceleration across undefined and emerging technical territory. Operate comfortably in ambiguity whilst balancing experimentation, delivery quality and commercial realities. Drive AI-augmented engineering methodologies and continuously improve engineering processes, tooling and technical standards. Technical skills and knowledge: Strong experience across modern frontend engineering and AI-native architecture, with the ability to design and deliver scalable, production-ready systems. Frontend & Experience Engineering - Advanced React and Next.js architecture - Server Components, streaming UX and edge rendering - Component systems and frontend orchestration AI Ecosystems & Orchestration - Experience across modern AI ecosystems including OpenAI, Gemini, Claude and OSS models - RAG pipelines, vector databases, embeddings and chunking - Tool calling, agentic systems, orchestration and memory frameworks - Prompt engineering, prompt management and context engineering - AI observability, evaluations, governance and guardrails AI-Augmented Engineering - AI-assisted development tooling including Claude Code, Cursor and Codex - Prompt-driven engineering and AI pair-programming workflows Cloud & Infrastructure - Vercel & GCP preferred, with AWS and Azure also considered - Serverless and edge infrastructure - AI workload deployment and optimisation - CI/CD pipelines and Infrastructure as Code Additional Technical Experience - REST and GraphQL APIs - Microservices and MACH architectures - CMS, DXPs and MarTech ecosystems QUALITIES AND CHARACTERISTICS Must come from a strong engineering or development background with deep frontend architecture capability. A naturally curious and experimental mindset with strong opinions around the future of AI-native experiences and modern engineering workflows. Comfortable operating as both a technical architect and client-facing advisor. Low ego, collaborative and delivery-focused, with the ability to inspire through technical credibility rather than hierarchy. A systems thinker who understands the relationship between retrieval, orchestration, rendering and customer experience outcomes. Proactive, resilient and comfortable operating within rapid experimentation cycles and evolving technical landscapes. Excellent communication skills with the ability to explain complex AI systems and engineering decisions to both technical and non-technical audiences. Passionate about emerging technologies, AI tooling and continuously evolving engineering methodologies. We believe great work happens when we're together, fostering creativity, collaboration, and connection. That's why we’ve adopted a hybrid approach including required in-office days. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. AKQA is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers. About WPP WPP is the trusted growth partner for the world’s leading brands. We unite cutting-edge media intelligence and data solutions, world-class creativity, next-generation production, transformative enterprise solutions and expert strategic counsel in a single company – powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit WPP.com.", "summaryDescription" : "Director, Generative AI Experience Engineering at AKQA. Skills: Generative AI, Experience Engineering, AI-native architecture, Frontend architecture. Lead design of AI-native platforms. Lead architecture of AI-native platforms", "postedDate" : "2026-06-11T18:57:36.243", "createdAt" : "2026-06-11T18:57:36.243", "lastUpdated" : "2026-06-13T08:58:01.624", "ingestTimestamp" : "2026-06-11T18:57:36.243", "mongoId" : "6a2a74af74d8ee00a065521b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Frontend architecture", "AI systems engineering", "Generative experience design", "Retrieval pipelines", "Vector storage", "Embeddings", "Multi-agent systems", "AI observability", "Conversational rendering", "Dynamic content assembly", "Streaming UX", "Adaptive interfaces", "Prompt engineering", "Prompt management", "Context engineering", "AI evaluations", "AI governance", "AI guardrails", "AI-assisted development", "Prompt-driven engineering", "AI pair-programming", "Serverless infrastructure", "Edge infrastructure", "AI workload deployment", "AI workload optimisation", "CI/CD pipelines", "Infrastructure 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"Advanced question answering", "level" : "intermediate" }, { "name" : "Response evaluation", "level" : "intermediate" }, { "name" : "Response comparison", "level" : "intermediate" }, { "name" : "Response ranking", "level" : "intermediate" }, { "name" : "Correctness evaluation", "level" : "intermediate" }, { "name" : "Reasoning quality evaluation", "level" : "intermediate" }, { "name" : "Completeness evaluation", "level" : "intermediate" }, { "name" : "Clarity evaluation", "level" : "intermediate" }, { "name" : "Error identification", "level" : "intermediate" }, { "name" : "Inconsistency identification", "level" : "intermediate" }, { "name" : "Hallucination identification", "level" : "intermediate" }, { "name" : "Weak reasoning identification", "level" : "intermediate" }, { "name" : "Feedback provision", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, AI, AI models", "majorSkillsList" : [ "Machine Learning", "AI", "AI models" ], "coreResponsibilities" : "Assess factual accuracy of AI-generated text, Assess technical quality of AI-generated text, Assess relevance of AI-generated text, Craft advanced questions, Answer advanced questions, Evaluate AI-generated responses, Compare AI-generated responses, Rank AI-generated responses, Identify errors in model outputs, Identify inconsistencies in model outputs, Identify hallucinations in model outputs, Identify weak reasoning in model outputs, Provide clear feedback", "domainKnowledge" : "Machine Learning; Artificial Intelligence; Technical domains", "domainList" : [ "machine-learning", "artificial-intelligence", "technical-domains" ], "domainSpecificKnowledge" : [ "Machine Learning", "Artificial Intelligence", "Technical domains" ], "communicationSkills" : "English fluency", "problemSolvingSkills" : "Analytical judgment", "outcomesObjectives" : "Improve performance of AI systems", "qualificationsBasic" : "PhD in Machine Learning, PhD in Artificial Intelligence, PhD in Computer Science, PhD in Statistics, PhD in Applied Mathematics, PhD in Computational Neuroscience, PhD in Natural Language Processing, PhD in Computer Vision, PhD in Reinforcement Learning, PhD in Data Science, Experience working as a Machine Learning Engineer, Experience working as an AI Researcher, Experience working as an Applied Scientist, Experience working as a Data Scientist, Ability to write clearly in English, Analytical judgment", "qualificationsPreferred" : "Machine Learning Engineer experience, AI Researcher experience, Applied Scientist experience, Data Scientist experience, Experience in a comparable highly technical role, Experience in a comparable analytical role, Understanding of core Machine Learning concepts, Understanding of core AI concepts, Experience with model training, Experience with model evaluation, Experience with model optimization, Experience with real-world application, Attention to detail", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "OVERVIEW We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models. In this role, you will apply your domain expertise to assess AI-generated content, create high-quality technical prompts and answers, and evaluate model responses for accuracy, relevance, and clarity. This is a remote, flexible opportunity for experts who want to contribute to the development of better AI systems. COMPENSATION - US$150 per hour KEY RESPONSIBILITIES As a Machine Learning / AI Expert, you may contribute by: - Assessing the factual accuracy, technical quality, and relevance of AI-generated text related to Machine Learning and Artificial Intelligence. - Crafting and answering advanced questions across Machine Learning, AI, and adjacent technical domains. - Evaluating, comparing, and ranking AI-generated responses based on correctness, reasoning quality, completeness, and clarity. - Identifying errors, inconsistencies, hallucinations, or weak reasoning in model outputs. - Providing clear feedback that helps improve the performance of AI systems. IDEAL QUALIFICATIONS We are especially interested in candidates with one or more of the following: - A PhD in Machine Learning, Artificial Intelligence, or an adjacent field, such as Computer Science, Statistics, Applied Mathematics, Computational Neuroscience, Natural Language Processing, Computer Vision, Reinforcement Learning, or Data Science. - Experience working as a Machine Learning Engineer, AI Researcher, Applied Scientist, Data Scientist, or in a comparable highly technical or analytical role. - Strong understanding of core Machine Learning and AI concepts, including model training, evaluation, optimization, and real-world application. - Ability to write clearly, precisely, and fluently in English about complex technical topics. - Strong analytical judgment and attention to detail. WORK ARRANGEMENT - Remote - Flexible hours", "summaryDescription" : "Computer Science PhD (Italy). Skills: Machine Learning, AI, AI models. Assess factual accuracy of AI-generated text. Assess technical quality of AI-generated text", "postedDate" : "2026-06-07T09:24:07.283", "createdAt" : "2026-06-07T09:24:07.283", "lastUpdated" : "2026-06-08T04:44:44.989", "ingestTimestamp" : "2026-06-07T09:24:07.283", "mongoId" : "6a2512b774d8ee00a00b641e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 150, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Factual accuracy assessment", "Technical quality assessment", "Relevance assessment", "Advanced question crafting", "Advanced question answering", "Response evaluation", "Response comparison", "Response ranking", "Correctness evaluation", "Reasoning quality evaluation", "Completeness evaluation", "Clarity evaluation", "Error identification", "Inconsistency identification", "Hallucination identification", "Weak reasoning identification", "Feedback provision", "Machine Learning", "AI", "AI models", "Technical domains", "Artificial Intelligence" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software-engineering", "dataQualityScore" : 0.7777778, "_score" : 913.78955, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a25e12f74d8ee00a01df85f", "title" : "Data Science & Analytics Manager", "company" : "Boeing", "salary" : { "min" : 183600.0, "max" : 183600.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "USA - Everett, WA", "locations" : [ "USA - Everett, WA", "United States of America" ], "timestamp" : "2026-06-11T18:13:54.072", "fingerprint" : "3f1b5f896a4896964c1fdcf9a0e53f972709265a2321d0bb23485b4f53176848", "source" : "workday", "language" : "en", "applyUrl" : "https://boeing.wd1.myworkdayjobs.com/external_subsidiary/job/USA---Everett-WA/Data-Science---Analytics-Mgr--Data-Sci---Analytics-Mgr-_JR2026512924", "externalId" : "JR2026512924", "locationPoint" : "40.01147,-78.37335", "structuredLocations" : [ { "city" : "Everett", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.9793437,-122.2127011" }, { "city" : "Auburn", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.3075369,-122.2301808" } ], "locationText" : "Everett, Washington, United States; Auburn, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, AWS, GCP, Azure, Spark, Hadoop", "professionalSkills" : [ "Supply chain", "Data analysis", "Data science", "Reporting", "Analytics", "AI", "Automation", "Business acumen", "Business strategy", "Data infrastructure", "Statistical modeling" ], "hardSkillsList" : [ "Data visualization", "Machine learning", "AI modeling", "Statistical analysis", "Data modeling", "Process improvement", "Project execution" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "AI modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Project execution", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data science, Analytics, AI, Automation", "majorSkillsList" : [ "Data science", "Analytics", "AI", "Automation" ], "coreResponsibilities" : "Manage data science employees, Manage analytics employees, Manage programmer employees, Develop project plans, Execute project plans, Implement policies, Implement procedures, Set operational goals, Acquire project resources, Acquire process resources, Provide technical management, Lead process improvements, Develop stakeholder partnerships, Maintain stakeholder partnerships, Provide technical oversight, Approve technical approaches, Approve technical products, Approve technical processes, Manage employees, Develop employees, Motivate employees, Translate business needs, Oversee data project execution, Champion data-first culture, Drive supply chain stability, Deliver efficient airplanes, Deliver efficient products, Bridge data infrastructure, Bridge statistical modeling, Bridge business strategy, Build scalable data solutions, Uncover actionable insights, Measure business performance", "teamCollaboration" : "Cross-functional stakeholders; Executive stakeholders; Peers; Partners", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Supply chain", "domainList" : [ "supply-chain" ], "domainSpecificKnowledge" : [ "Supply chain" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Microsoft Office" ], "communicationSkills" : "Executive presentations; Translating insights", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "US Person required", "outcomesObjectives" : "Deliver safer airplanes; Deliver better airplanes; Deliver efficient airplanes; Deliver safer products; Deliver better products; Deliver efficient products", "qualificationsBasic" : "1 year leadership experience, 5+ years presentation experience, 5+ years Microsoft Office, 5+ years SQL, 5+ years Python or R, 5+ years BI tools, 5+ years data visualization tools, Strong communication skills", "qualificationsPreferred" : "1-2 years management experience, Bachelor's degree quantitative field, Familiarity with cloud data environments, Familiarity with distributed computing tools, Experience building ML models, Experience deploying ML models, Experience building AI models, Experience deploying AI models, Aerospace domain knowledge, Supply chain domain knowledge, Critical thinking skills, Time management skills, Problem solving skills, Interpersonal skills", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Science & Analytics Manager **Company:** The Boeing Company ** _Job Description Summary:_** Boeing Commercial Airplanes is looking for a Data Science & Analytics Managers to join the Supply Chain Functional Excellence organization in **Everett, WA or Auburn, WA.** As the Data Science & Analytics Manager, you will join the AI, Reporting, & Automation organization, with a specific focus on AI & Automation or Reporting & Analytics. With sound business acumen and a foundational understanding of supply chain, you will lead a high-performing team of data analysts, scientists, and programmers to deploy supply chain solutions. You will translate ambiguous business needs into structured frameworks, and oversee the execution of data projects, and champion a data-first culture across the organization. You will work closely with executive stakeholders to drive supply chain stability and enable Boeing to deliver safer, better, and more efficient airplanes and products. You will bridge the gap between complex data infrastructure, statistical modeling, and business strategy. You will partner with cross-functional stakeholders to build scalable data solutions, uncover actionable insights, and measure business performance. **Position Responsibilities:** * Manage employees performing data science and analytics. * Develops and executes project and process plans, implements policies and procedures and sets operational goals. * Acquires resources for projects and processes, provides technical management of suppliers and leads process improvements. * Develops and maintains relationships and partnerships with customers, stakeholders, peers, partners and direct reports. * Provides vision, oversight, and approval of technical approaches, products and processes. * Manages, develops and motivates employees. **To be considered for this position you will be required to complete an assessment as part of the selection process. Failure to complete the assessment will remove you from consideration.** **Basic Qualifications:** * Candidates must have at least one year of experience in a leadership role (team leader, temp manager, large scale cross functional project/program management, or formal manager experience) OR have completed the Boeing internal course “Exploring Leadership.” * 5+ years of experience in developing and delivering presentations to executive leadership with strong proficiency. * 5+ years of experience using Microsoft Office tools (Word, Outlook, Excel, and PowerPoint) * 5+ years of experience with SQL and programming languages such as Python or R. * 5+ years hands-on experience with BI and data visualization tools (e.g., Tableau, PowerBI, Looker). * Strong communication skills with a proven track record of translating complex data insights into actionable business strategies for non-technical stakeholders. **** **Preferred Qualifications:** * 5 + years of experience leading teams in data analytics or data science, with at least 1-2 years in a management or team-lead role. * Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, or a related quantitative field. * Familiarity with cloud data environments (e.g., AWS, GCP, or Azure) and distributed computing tools (e.g., Spark, Hadoop). * Experience building and deploying machine learning and AI models in a production environment. * Specific domain knowledge relevant to the aerospace industry and supply chain * Strong critical thinking, time management, problem solving, and interpersonal skills **Conflict of Interest:** Successful candidates for this job must satisfy the Company’s Conflict of Interest (COI) assessment process. **Shift:** **This role is primarily 1stSHIFT ; however, there may be additional shift requirements to support program objectives.** **Drug Free Workplace:** Boeing is a Drug Free Workplace where post offer applicants and employees are subject to testing for marijuana, cocaine, opioids, amphetamines, PCP, and alcohol when criteria is met as outlined in our policies. **Pay & Benefits:** At Boeing, we strive to deliver a Total Rewards package that will attract, engage and retain the top talent. Elements of the Total Rewards package include competitive base pay and variable compensation opportunities. The Boeing Company also provides eligible employees with an opportunity to enroll in a variety of benefit programs, generally including health insurance, flexible spending accounts, health savings accounts, retirement savings plans, life and disability insurance programs, and a number of programs that provide for both paid and unpaid time away from work. The specific programs and options available to any given employee may vary depending on eligibility factors such as geographic location, date of hire, and the applicability of collective bargaining agreements. Pay is based upon candidate experience and qualifications, as well as market and business considerations. **Summary Pay Range:****$183,600.00** \\- **$224,400.00** **Language Requirements:** Not Applicable **Education:** Not Applicable **Relocation:** Relocation assistance is not a negotiable benefit for this position. **Export Control Requirement:** This position must meet U.S. export control compliance requirements. To meet U.S. export control compliance requirements, a “U.S. Person” as defined by 22 C.F.R. §120.62 is required. “U.S. Person” includes U.S. Citizen, U.S. National, lawful permanent resident, refugee, or asylee. **Safety Sensitive:** This is not a Safety Sensitive Position. **Security Clearance:** This position does not require a Security Clearance. **Visa Sponsorship:** Employer will not sponsor applicants for employment visa status. **Contingent Upon Award Program** This position is not contingent upon program award **Shift:** Shift 1 (United States of America) **Stay safe from recruitment fraud! The only way to apply for a position at Boeing is via our Careers website. Learn how to protect yourself from recruitment fraud** \\- [Recruitment Fraud Warning](http://www.boeing.com/careers/recruitment-fraud-warning.page) Boeing is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, physical or mental disability, genetic factors, military/veteran status or other characteristics protected by law. [EEO is the law](http://www.boeing.com/resources/boeingdotcom/careers/footer/EEOIsTheLawPoster.pdf) [Boeing EEO Policy](https://tbcdn.talentbrew.com/company/185/v1_0/img/2018_Policy_Statement.pdf) [Request an Accommodation](http://www.boeing.com/careers/request-accommodation.page) [Applicant Privacy](http://www.boeing.com/careers/privacy-statement.page) **Boeing Participates in E – Verify** * [E-Verify (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterEnglish.pdf) * [E-Verify (Spanish) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/EverifyPosterSpanish.pdf) **Right to Work Statement** * [Right to Work (English) ](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWEnglishversion.pdf) * [Right to Work (Spanish)](http://www.boeing.com/resources/boeingdotcom/careers/footer/WebBPPOSTERRtoWSpanishversion.pdf)", "summaryDescription" : "Data Science & Analytics Manager at Boeing. Skills: Data science, Analytics, AI, Automation. Manage data science employees. Manage analytics employees", "postedDate" : "2026-06-09T09:45:23.435", "createdAt" : "2026-06-11T09:45:23.319", "lastUpdated" : "2026-06-11T18:13:54.072", "ingestTimestamp" : "2026-06-11T09:45:23.319", "mongoId" : "6a25e12f74d8ee00a01df85f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://boeing.wd1.myworkdayjobs.com/external_subsidiary/job/USA---Everett-WA/Data-Science---Analytics-Mgr--Data-Sci---Analytics-Mgr-_JR2026512924", "salaryAnnualMin" : 183600, "salaryAnnualMax" : 183600, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data visualization", "Machine learning", "AI modeling", "Statistical analysis", "Data modeling", "Process improvement", "Project execution", "Leadership", "Data science", "Analytics", "AI", "Automation", "Supply chain", "Data analysis", "Reporting", "Business acumen", "Business strategy", "Data infrastructure", "Statistical modeling", "Project management", "Tableau", "Power BI", "Looker", "Microsoft Office" ], "skillCount" : 24, "jobCategory" : "engineering", "seniorityLevel" : "manager", "dataQualityScore" : 1.0, "_score" : 907.2414, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2512b774d8ee00a00b641b", "title" : "Computer Science PhD (Mexico)", "industry" : "Software Engineering", "salary" : { "min" : 150.0, "max" : 150.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "Mexico - Fully Remote", "locations" : [ "Mexico - Fully Remote" ], "timestamp" : "2026-06-07T19:21:28.818", "fingerprint" : "94435caaf9a5a916ebe9c05043f4ce3a797da5334602ca6bf91bdc404d9f917a", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/anyone-ai/e2aa4097-18bc-4450-a361-470f645fd926/application", "externalId" : "e2aa4097-18bc-4450-a361-470f645fd926", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Mexico", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Mexico", "employmentType" : "PART_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Machine Learning, AI", "professionalSkills" : [ "Technical domains" ], "hardSkillsList" : [ "Model training", "Model evaluation", "Model optimization", "Real-world application" ], "hardSkills" : [ { "name" : "Model training", "level" : "intermediate" }, { "name" : "Model evaluation", "level" : "intermediate" }, { "name" : "Model optimization", "level" : "intermediate" }, { "name" : "Real-world application", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, AI", "majorSkillsList" : [ "Machine Learning", "AI" ], "coreResponsibilities" : "Assess factual accuracy of AI text, Assess technical quality of AI text, Assess relevance of AI text, Craft advanced questions, Answer advanced questions, Evaluate AI-generated responses, Compare AI-generated responses, Rank AI-generated responses, Identify errors in model outputs, Identify inconsistencies in model outputs, Identify hallucinations in model outputs, Identify weak reasoning in model outputs, Provide clear feedback", "domainKnowledge" : "Machine Learning; Artificial Intelligence", "domainList" : [ "machine-learning", "artificial-intelligence" ], "domainSpecificKnowledge" : [ "Machine Learning", "Artificial Intelligence" ], "communicationSkills" : "Technical topics", "problemSolvingSkills" : "Analytical judgment", "outcomesObjectives" : "Improve performance of AI systems", "qualificationsBasic" : "PhD in Machine Learning, PhD in Artificial Intelligence, PhD in Computer Science, PhD in Statistics, PhD in Applied Mathematics, PhD in Computational Neuroscience, PhD in Natural Language Processing, PhD in Computer Vision, PhD in Reinforcement Learning, PhD in Data Science, Experience as Machine Learning Engineer, Experience as AI Researcher, Experience as Applied Scientist, Experience as Data Scientist, Understanding of core ML/AI concepts, Ability to write clearly in English, Analytical judgment, Attention to detail", "qualificationsPreferred" : "Experience working in a comparable highly technical role, Experience working in a comparable analytical role", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "OVERVIEW We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models. In this role, you will apply your domain expertise to assess AI-generated content, create high-quality technical prompts and answers, and evaluate model responses for accuracy, relevance, and clarity. This is a remote, flexible opportunity for experts who want to contribute to the development of better AI systems. COMPENSATION - US$150 per hour KEY RESPONSIBILITIES As a Machine Learning / AI Expert, you may contribute by: - Assessing the factual accuracy, technical quality, and relevance of AI-generated text related to Machine Learning and Artificial Intelligence. - Crafting and answering advanced questions across Machine Learning, AI, and adjacent technical domains. - Evaluating, comparing, and ranking AI-generated responses based on correctness, reasoning quality, completeness, and clarity. - Identifying errors, inconsistencies, hallucinations, or weak reasoning in model outputs. - Providing clear feedback that helps improve the performance of AI systems. IDEAL QUALIFICATIONS We are especially interested in candidates with one or more of the following: - A PhD in Machine Learning, Artificial Intelligence, or an adjacent field, such as Computer Science, Statistics, Applied Mathematics, Computational Neuroscience, Natural Language Processing, Computer Vision, Reinforcement Learning, or Data Science. - Experience working as a Machine Learning Engineer, AI Researcher, Applied Scientist, Data Scientist, or in a comparable highly technical or analytical role. - Strong understanding of core Machine Learning and AI concepts, including model training, evaluation, optimization, and real-world application. - Ability to write clearly, precisely, and fluently in English about complex technical topics. - Strong analytical judgment and attention to detail. WORK ARRANGEMENT - Remote - Flexible hours", "summaryDescription" : "Computer Science PhD (Mexico). Skills: Machine Learning, AI. Assess factual accuracy of AI text. Assess technical quality of AI text", "postedDate" : "2026-06-07T09:20:46.761", "createdAt" : "2026-06-07T09:20:46.761", "lastUpdated" : "2026-06-07T19:21:28.818", "ingestTimestamp" : "2026-06-07T09:20:46.761", "mongoId" : "6a2512b774d8ee00a00b641b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 150, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Model training", "Model evaluation", "Model optimization", "Real-world application", "Machine Learning", "AI", "Technical domains", "Artificial Intelligence" ], "skillCount" : 8, "jobCategory" : "engineering", "jobSubcategory" : "software-engineering", "dataQualityScore" : 0.7777778, "_score" : 903.3685, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a265db874d8ee00a0220998", "title" : "Adjunct Instructor, Artificial Intelligence, Computer Science, Cybersecurity, Information Technology, & Engineering (Pooled Position, Central Campus)", "company" : "Broward College", "salary" : { "min" : 2301.0, "max" : 2506.02, "currency" : "USD", "frequency" : "yearly" }, "location" : "Fort Lauderdale, FL", "locations" : [ "Fort Lauderdale, FL", "United States of America" ], "certifications" : [ "Industry certifications" ], "timestamp" : "2026-06-12T18:47:38.079", "fingerprint" : "3cf8e0981cba38553ea3ac498032413cb6beff8a3704d816bfc74392c08a2081", "source" : "workday", "language" : "en", "applyUrl" : "https://browardcollege.wd5.myworkdayjobs.com/PT/job/Central-Campus/Adjunct-Instructor--Computer-Science--Information-Technology---Engineering--Pooled-Position--Central-Campus-_REQ-000046888-1", "externalId" : "REQ-000046888", "locationPoint" : "26.12231,-80.14338", "structuredLocations" : [ { "city" : "Fort Lauderdale", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "26.1223084,-80.1433786" } ], "locationText" : "Fort Lauderdale, Florida, United States", "employmentType" : "PART_TIME", "minimumEducation" : "Master's Degree", "technicalSkills" : "Computer Science, Information Technology, Engineering, Computer coursework, IT Certifications", "professionalSkills" : [ "Teaching skills", "Counseling skills" ], "hardSkillsList" : [ "Technology competencies" ], "softSkillsList" : [ "Passionate educators" ], "hardSkills" : [ { "name" : "Technology competencies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Passionate educators" } ], "majorSkills" : "Artificial Intelligence, Computer Science, Cybersecurity, Information Technology, Engineering", "majorSkillsList" : [ "Artificial Intelligence", "Computer Science", "Cybersecurity", "Information Technology", "Engineering" ], "coreResponsibilities" : "Facilitate needs of diverse learners, Achieve academic success for students, Use educational technological mediums, Prepare students for productive careers", "domainKnowledge" : "Computer Science; Information Technology; Engineering; Cybersecurity", "domainList" : [ "computer-science", "information-technology", "engineering", "cybersecurity" ], "domainSpecificKnowledge" : [ "Computer Science", "Information Technology", "Engineering", "Cybersecurity" ], "specialRequirements" : "Office hours required, Evening hours may be required, Weekend hours may be required", "outcomesObjectives" : "Foster student success; Foster student achievement", "qualificationsBasic" : "Master's Degree in Computer Science, Master's Degree in Information Systems/Technology, Master's Degree in Computer Education/Technology, Master's Degree in Engineering, Master's Degree and 18 graduate credit hours, Related computer coursework, Required industry certifications, Related IT Certifications, High level of computer literacy, Commitment to teaching", "qualificationsPreferred" : "Prior college teaching experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Job Description Summary** Candidates should be passionate educators and practitioners who can facilitate the needs of diverse 21st century learners who aspire to practice in respective field. Broward College places special importance on helping under - prepared students achieve academic success. Candidates should demonstrate (1) a mastery of their specific discipline; (2) a deep commitment to the college mission of fostering student success, achievement and persistence; (3) technology competencies as well as teaching/counseling skills and strategies that facilitate 21st century literacies; (4) the use of resources that prepare students for productive lives; (5) experience using various educational technological mediums. Minimum Education: • A Master’s Degree in Computer Science, Information Systems/Technology, Computer Education/Technology, Engineering, or a closely related discipline with related computer coursework AND any required industry certifications OR A Master’s Degree and 18 graduate credit hours in a Computer discipline with related computer coursework AND related IT Certifications Minimum Experience/Training: • Prior college teaching experience is preferred. • The successful candidate must have a high level of computer literacy and a commitment to teaching. • All schedules require office hours and some may require evening and/or weekend hours. **Position Time Type** Part time **Position Number** P0030273 **Department** Central STEM IT **Salary Range** $2,301.00 - $2,506.02 (Salary commensurate with education and experience) **Posting End Date** Open Until Filled **Work Schedule** Varies **Comments** To be considered for this position, a completed online employment application form along with a resume and unofficial transcript are required. **Designated Essential Personnel** No **Special Instructions to Applicant:** For positions requiring a degree, official transcripts are required upon hire. An unofficial copy of the degree/transcript is acceptable during the application process and must be attached to the online application. If unable to attach the documentation, please email the document to [jobs@broward.edu](mailto:jobs@broward.edu) or fax to **954-201-7612,** stating clearly the **position name(s)** and **position number(s)** the transcript is to be attached to. Foreign Transcript: Transcripts issued outside of the United States require an equivalency statement from a certified transcript evaluation service verifying the degree equivalency to that of an accredited institution within the USA. This report must be attached with the application and submitted by the application deadline. All required documentation must be received on or before the job posting end date. ****Please note that multiple documents can be uploaded in the “Resume/CV/Transcript/License/Certification” section of the application**** **_Please refer to the link with the instructions on how to submit an application with multiple documents._**[ https://www.broward.edu/jobs/_docs/tutorial_external_applicant_broward_college.pdf](https://www.broward.edu/jobs/_docs/tutorial_external_applicant_broward_college.pdf). Employment is contingent upon the successful completion of the required background screening process. Broward College uses E-Verify to check employee eligibility to work in the United States. You will be required to complete an I-9 Form and provide documentation of your identity for employment purposes Broward College is an equal opportunity employer and strongly encourages applications from eligible veterans and spouses of veterans, underrepresented groups, including minorities, women, and persons with disabilities. The College does not discriminate on the basis of age, color, disability, gender identity, genetic information, national origin, race, religion, sexual orientation or any other legally protected classification. For inquiries regarding Title IX and the college’s non-discrimination policies, contact the Vice President, Talent and Culture at 954-201-7449, Broward College, 6400 NW 6th Way, Fort Lauderdale, FL 33309**.** Applicants needing a reasonable accommodation with the application process, please contact the Talent and Culture Department at [nanders1@broward.edu](mailto:nanders1@broward.edu) **Disclaimer** The intent of this description is to illustrate the types of duties and responsibilities that will be required of positions given this title and should not be interpreted of describe all the specific duties and responsibilities that may be required in any particular position. Directly related education/experience beyond the minimum stated may be substituted where appropriate at the discretion of the Appointing Authority. Broward College reserves the right to revise or change job duties, job hours, and responsibilities.", "summaryDescription" : "Adjunct Instructor, Artificial Intelligence, Computer Science, Cybersecurity, Information Technology, & Engineering (Pooled Position, Central Campus) at Broward College. Skills: Artificial Intelligence, Computer Science, Cybersecurity, Information Technology, Engineering. Facilitate needs of diverse learners. Achieve academic success for students", "postedDate" : "2026-06-09T13:56:48.780", "createdAt" : "2026-06-11T13:56:48.690", "lastUpdated" : "2026-06-12T18:47:38.079", "ingestTimestamp" : "2026-06-11T13:56:48.690", "mongoId" : "6a265db874d8ee00a0220998", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://browardcollege.wd5.myworkdayjobs.com/PT/job/Central-Campus/Adjunct-Instructor--Computer-Science--Information-Technology---Engineering--Pooled-Position--Central-Campus-_REQ-000046888-1", "salaryAnnualMin" : 2301, "salaryAnnualMax" : 2506, "salaryBand" : "<30k", "hasSalary" : true, "allSkills" : [ "Technology competencies", "Passionate educators", "Artificial Intelligence", "Computer Science", "Cybersecurity", "Information Technology", "Engineering", "Teaching skills", "Counseling skills", "Industry certifications" ], "skillCount" : 10, "jobCategory" : "engineering", "seniorityLevel" : "executive", "dataQualityScore" : 0.8888889, "_score" : 896.6412, "daysOld" : 3, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a714274d8ee00a0648c18", "title" : "Subject Matter Expert – Natural Sciences (German) – Remote", "company" : "LILT", "industry" : "LiltLancer Community", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Subject Matter Expert in Natural Sciences in Germany, adjusted for the technology industry and remote work." }, "location" : "Germany (Remote)", "locations" : [ "Germany (Remote)" ], "timestamp" : "2026-06-14T06:14:16.283", "fingerprint" : "cb308143b4c682834fda81e7b52df4dfd47f93a4dfcdbd5abb81772db3571e51", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lilt-production/f5496f6a-3684-467c-8744-c1d4d48d8815/application", "externalId" : "f5496f6a-3684-467c-8744-c1d4d48d8815", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Germany", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Germany", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Natural Sciences" ], "hardSkillsList" : [ "Content creation", "Content review", "Scoring rubrics" ], "hardSkills" : [ { "name" : "Content creation", "level" : "intermediate" }, { "name" : "Content review", "level" : "intermediate" }, { "name" : "Scoring rubrics", "level" : "intermediate" } ], "majorSkills" : "Natural Sciences, AI benchmarking", "majorSkillsList" : [ "Natural Sciences", "AI benchmarking" ], "coreResponsibilities" : "Create natural sciences tasks, Adapt scoring rubrics, Apply scoring rubrics, Evaluate AI responses, Evaluate human responses, Review submissions, Score submissions, Provide expert feedback, Contribute to gold standard solutions", "domainKnowledge" : "Natural Sciences; AI systems; Local contexts; Mathematical environments", "domainList" : [ "natural-sciences", "ai-systems", "local-contexts", "mathematical-environments" ], "domainSpecificKnowledge" : [ "Natural Sciences", "AI systems", "Local contexts", "Mathematical environments" ], "communicationSkills" : "Professional English", "outcomesObjectives" : "High-quality AI understanding; High-quality AI performance", "qualificationsBasic" : "Native in target language, Professional English proficiency, 5+ years Natural Sciences experience, Knowledge of local frameworks, Write professional-grade content, Evaluate professional-grade content", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT THE OPPORTUNITY We are seeking experienced professionals in Natural Sciences to contribute to a cutting-edge AI benchmarking project in the target language. As a Subject Matter Expert, you will create and review high-quality, real-world natural sciences scenarios that evaluate AI systems in the target locale-specific contexts. Your expertise will directly shape how AI understands and performs in the compliant mathematical environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in the target language reflecting local natural sciences practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native in the target language with strong professional English proficiency - 5+ years of experience in Natural Sciences (e.g. biology, chemistry, physics, environmental science, earth sciences, or related disciplines) - Strong knowledge of target local frameworks - Ability to write and evaluate professional-grade natural sciences content in the target language with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Subject Matter Expert – Natural Sciences (German) – Remote at LILT. Skills: Natural Sciences, AI benchmarking. Create natural sciences tasks. Adapt scoring rubrics", "postedDate" : "2026-06-11T18:19:49.393", "createdAt" : "2026-06-11T18:19:49.393", "lastUpdated" : "2026-06-14T06:14:16.283", "ingestTimestamp" : "2026-06-11T18:19:49.393", "mongoId" : "6a2a714274d8ee00a0648c18", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Content creation", "Content review", "Scoring rubrics", "Natural Sciences", "AI benchmarking", "AI systems", "Local contexts", "Mathematical environments" ], "skillCount" : 8, "jobCategory" : "other", "jobSubcategory" : "ai-data-services", "dataQualityScore" : 1.0, "_score" : 893.46686, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a259df774d8ee00a01aad12", "title" : "Chemistry & Python Expert - Freelance AI Trainer", "company" : "Mindrift", "salary" : { "max" : 35.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "timestamp" : "2026-06-14T06:45:25.601", "fingerprint" : "e1adfaaa39642adc69d4874fe273c559c4363a4d211a90459401fadfc4273965", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/432EA9A7D1/apply", "externalId" : "432EA9A7D1", "locationPoint" : "35.9078,127.7669", "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "PART_TIME", "minimumEducation" : "Degree", "experienceMinYears" : 2, "technicalSkills" : "Python, Numpy, Scipy, MATLAB, R, C, SQL, Pandas, Stata", "professionalSkills" : [ "Computational chemistry", "Physical chemistry", "Quantum chemistry", "Molecular reasoning" ], "hardSkillsList" : [ "Numerical methods", "Computational chemistry" ], "hardSkills" : [ { "name" : "Numerical methods", "level" : "intermediate" }, { "name" : "Computational chemistry", "level" : "intermediate" } ], "majorSkills" : "Chemistry, Python, AI training", "majorSkillsList" : [ "Chemistry", "Python", "AI training" ], "coreResponsibilities" : "Design computational chemistry problems, Create problems requiring Python, Ensure problems are computationally intensive, Develop problems requiring reasoning chains, Base problems on research challenges, Verify solutions using Python, Document problem statements clearly, Provide verified correct answers", "domainKnowledge" : "Physical chemistry; Quantum chemistry; Molecular reasoning; Computational chemistry", "domainList" : [ "physical-chemistry", "quantum-chemistry", "molecular-reasoning", "computational-chemistry" ], "domainSpecificKnowledge" : [ "Physical chemistry", "Quantum chemistry", "Molecular reasoning", "Computational chemistry" ], "communicationSkills" : "English proficiency", "documentationSkills" : "Document problem statements", "problemSolvingSkills" : "Reasoning chains", "qualificationsBasic" : "Degree in Chemistry, 2+ years professional experience, Python proficiency, written English (C1+)", "qualificationsPreferred" : "MATLAB proficiency, R proficiency, C proficiency, SQL proficiency, Pandas proficiency, SciPy proficiency, domain-specific libraries proficiency, Stata proficiency, knowledge of any programming language", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "_**Please submit your CV in English and indicate your level of English proficiency.**_ Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. **Participation is project-based, not permanent employment.** **What this opportunity involves** While each project involves unique tasks, contributors may: * Design original computational chemistry problems that simulate real chemistry research workflows; * Create problems requiring Python programming to solve (using numpy, scipy, chemical libraries); * Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks); * Develop problems requiring non-trivial reasoning chains in physical chemistry, quantum chemistry, and molecular modeling; * Base problems on real research challenges or practical applications from chemistry practice; * Verify solutions using Python with standard computational chemistry approaches; * Document problem statements clearly and provide verified correct answers. **What we look for** This opportunity is a good fit for chemistry specialists with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: * Degree in Chemistry or related fields; * Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; * 2+ years of professional experience: applied, research, or teaching experience is applicable; * Experience with numerical methods in chemistry; * Familiarity with computational chemistry concepts and methods; * Strong written English (C1+). **How it works** Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid **Project time expectations** For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. **Compensation** On this project, contributors can earn up to **$35 per hour equivalent** , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.", "summaryDescription" : "Chemistry & Python Expert - Freelance AI Trainer at Mindrift. Skills: Chemistry, Python, AI training. Design computational chemistry problems. Create problems requiring Python", "postedDate" : "2026-06-06T00:00:00.000", "createdAt" : "2026-06-11T22:22:55.730", "lastUpdated" : "2026-06-14T06:45:25.601", "ingestTimestamp" : "2026-06-11T22:22:55.730", "mongoId" : "6a259df774d8ee00a01aad12", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/432EA9A7D1", "salaryAnnualMax" : 72800, "hasSalary" : false, "allSkills" : [ "Numerical methods", "Computational chemistry", "Chemistry", "Python", "AI training", "Physical chemistry", "Quantum chemistry", "Molecular reasoning" ], "skillCount" : 8, "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "_score" : 886.9493, "daysOld" : 8, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2512b774d8ee00a00b641f", "title" : "Computer Science PhD (India)", "industry" : "Software Engineering", "salary" : { "min" : 150.0, "max" : 150.0, "currency" : "USD", "frequency" : "Yearly" }, "location" : "India", "locations" : [ "India" ], "timestamp" : "2026-06-08T10:31:53.104", "fingerprint" : "e1c03f2a1cbe05410b2819757c58231f1606602b8889cebbbc9c6e9d68e08d4c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/anyone-ai/d515b3df-807e-4dcd-844b-bc25f542381b/application", "externalId" : "d515b3df-807e-4dcd-844b-bc25f542381b", "industryFunction" : { }, "structuredLocations" : [ { "continent" : "na", "workMode" : "remote" } ], "locationText" : "", "employmentType" : "PART_TIME", "minimumEducation" : "PhD", "technicalSkills" : "Machine Learning, AI", "professionalSkills" : [ "AI model training", "AI model evaluation", "Technical prompt creation", "Technical answer creation" ], "hardSkillsList" : [ "Factual accuracy assessment", "Technical quality assessment", "Relevance assessment", "Reasoning quality evaluation", "Response correctness evaluation", "Response completeness evaluation", "Response clarity evaluation", "Error identification", "Inconsistency identification", "Hallucination identification", "Weak reasoning identification", "Feedback provision" ], "hardSkills" : [ { "name" : "Factual accuracy assessment", "level" : "intermediate" }, { "name" : "Technical quality assessment", "level" : "intermediate" }, { "name" : "Relevance assessment", "level" : "intermediate" }, { "name" : "Reasoning quality evaluation", "level" : "intermediate" }, { "name" : "Response correctness evaluation", "level" : "intermediate" }, { "name" : "Response completeness evaluation", "level" : "intermediate" }, { "name" : "Response clarity evaluation", "level" : "intermediate" }, { "name" : "Error identification", "level" : "intermediate" }, { "name" : "Inconsistency identification", "level" : "intermediate" }, { "name" : "Hallucination identification", "level" : "intermediate" }, { "name" : "Weak reasoning identification", "level" : "intermediate" }, { "name" : "Feedback provision", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Artificial Intelligence, AI model evaluation", "majorSkillsList" : [ "Machine Learning", "Artificial Intelligence", "AI model evaluation" ], "coreResponsibilities" : "Assess factual accuracy of AI-generated text, Assess technical quality of AI-generated text, Assess relevance of AI-generated text, Craft advanced questions, Answer advanced questions, Evaluate AI-generated responses, Compare AI-generated responses, Rank AI-generated responses, Identify errors in model outputs, Identify inconsistencies in model outputs, Identify hallucinations in model outputs, Identify weak reasoning in model outputs, Provide clear feedback", "domainKnowledge" : "Machine Learning; Artificial Intelligence; Natural Language Processing; Computer Vision; Reinforcement Learning; Data Science", "domainList" : [ "machine-learning", "artificial-intelligence", "natural-language-processing", "computer-vision", "reinforcement-learning", "data-science" ], "domainSpecificKnowledge" : [ "Machine Learning", "Artificial Intelligence", "Natural Language Processing", "Computer Vision", "Reinforcement Learning", "Data Science" ], "communicationSkills" : "Technical writing", "problemSolvingSkills" : "Analytical judgment", "outcomesObjectives" : "Improve performance of AI systems", "qualificationsBasic" : "PhD in Machine Learning, PhD in Artificial Intelligence, PhD in Computer Science, PhD in Statistics, PhD in Applied Mathematics, PhD in Computational Neuroscience, PhD in Natural Language Processing, PhD in Computer Vision, PhD in Reinforcement Learning, PhD in Data Science, Experience as Machine Learning Engineer, Experience as AI Researcher, Experience as Applied Scientist, Experience as Data Scientist, Understanding of core ML/AI concepts, Ability to write clearly in English, Analytical judgment, Attention to detail", "qualificationsPreferred" : "Experience working in a comparable highly technical role, Experience working in a comparable analytical role", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "OVERVIEW We are looking for experienced Machine Learning and AI Experts to help train and evaluate advanced AI models. In this role, you will apply your domain expertise to assess AI-generated content, create high-quality technical prompts and answers, and evaluate model responses for accuracy, relevance, and clarity. This is a remote, flexible opportunity for experts who want to contribute to the development of better AI systems. COMPENSATION - US$150 per hour KEY RESPONSIBILITIES As a Machine Learning / AI Expert, you may contribute by: - Assessing the factual accuracy, technical quality, and relevance of AI-generated text related to Machine Learning and Artificial Intelligence. - Crafting and answering advanced questions across Machine Learning, AI, and adjacent technical domains. - Evaluating, comparing, and ranking AI-generated responses based on correctness, reasoning quality, completeness, and clarity. - Identifying errors, inconsistencies, hallucinations, or weak reasoning in model outputs. - Providing clear feedback that helps improve the performance of AI systems. IDEAL QUALIFICATIONS We are especially interested in candidates with one or more of the following: - A PhD in Machine Learning, Artificial Intelligence, or an adjacent field, such as Computer Science, Statistics, Applied Mathematics, Computational Neuroscience, Natural Language Processing, Computer Vision, Reinforcement Learning, or Data Science. - Experience working as a Machine Learning Engineer, AI Researcher, Applied Scientist, Data Scientist, or in a comparable highly technical or analytical role. - Strong understanding of core Machine Learning and AI concepts, including model training, evaluation, optimization, and real-world application. - Ability to write clearly, precisely, and fluently in English about complex technical topics. - Strong analytical judgment and attention to detail. WORK ARRANGEMENT - Remote - Flexible hours", "summaryDescription" : "Computer Science PhD (India). Skills: Machine Learning, Artificial Intelligence, AI model evaluation. Assess factual accuracy of AI-generated text. Assess technical quality of AI-generated text", "postedDate" : "2026-06-07T09:22:21.329", "createdAt" : "2026-06-07T09:22:21.329", "lastUpdated" : "2026-06-08T10:31:53.104", "ingestTimestamp" : "2026-06-07T09:22:21.329", "mongoId" : "6a2512b774d8ee00a00b641f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMax" : 150, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Factual accuracy assessment", "Technical quality assessment", "Relevance assessment", "Reasoning quality evaluation", "Response correctness evaluation", "Response completeness evaluation", "Response clarity evaluation", "Error identification", "Inconsistency identification", "Hallucination identification", "Weak reasoning identification", "Feedback provision", "Machine Learning", "Artificial Intelligence", "AI model evaluation", "AI model training", "Technical prompt creation", "Technical answer creation", "Natural Language Processing", "Computer Vision", "Reinforcement Learning", "Data Science" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "software-engineering", "dataQualityScore" : 0.7777778, "_score" : 883.24506, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "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, "_score" : 880.7579, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a714274d8ee00a0648c25", "title" : "Subject Matter Expert – Natural Sciences (Bengali) – Remote", "company" : "LILT", "industry" : "LiltLancer Community", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Senior Subject Matter Expert in Natural Sciences in India, adjusted for the technology industry and remote work." }, "location" : "India (Remote)", "locations" : [ "India (Remote)" ], "timestamp" : "2026-06-13T22:57:38.858", "fingerprint" : "8f4eeef47dcba6b6926a4c35f60550231d89f5397ceb4b89375ec8a0d5790ef9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lilt-production/89a631d2-bf95-479c-8719-7441523aa6b4/application", "externalId" : "89a631d2-bf95-479c-8719-7441523aa6b4", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "remote" } ], "locationText" : "India", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "professionalSkills" : [ "Natural Sciences expertise", "AI benchmarking" ], "hardSkillsList" : [ "Content creation", "Response evaluation", "Scoring rubrics", "Accuracy assessment", "Regulatory alignment" ], "hardSkills" : [ { "name" : "Content creation", "level" : "intermediate" }, { "name" : "Response evaluation", "level" : "intermediate" }, { "name" : "Scoring rubrics", "level" : "intermediate" }, { "name" : "Accuracy assessment", "level" : "intermediate" }, { "name" : "Regulatory alignment", "level" : "intermediate" } ], "majorSkills" : "Natural Sciences, AI evaluation, Bengali language", "majorSkillsList" : [ "Natural Sciences", "AI evaluation", "Bengali language" ], "coreResponsibilities" : "Create natural sciences tasks in target language, Adapt scoring rubrics, Evaluate AI-generated responses, Evaluate human responses, Review submissions for accuracy, Review submissions for regulatory alignment, Review submissions for professional quality, Provide expert feedback, Contribute to gold standard solutions", "domainKnowledge" : "Natural Sciences; AI systems; Local contexts; Mathematical environments", "domainList" : [ "natural-sciences", "ai-systems", "local-contexts", "mathematical-environments" ], "domainSpecificKnowledge" : [ "Natural Sciences", "AI systems", "Local contexts", "Mathematical environments" ], "communicationSkills" : "Professional English proficiency", "outcomesObjectives" : "Create high-quality scenarios; Evaluate AI performance; Shape AI understanding", "qualificationsBasic" : "5+ years of experience in Natural Sciences, Native in the target language, Professional English proficiency, Ability to write and evaluate professional-grade natural sciences content in the target language", "qualificationsPreferred" : "knowledge of target local frameworks", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT THE OPPORTUNITY We are seeking experienced professionals in Natural Sciences to contribute to a cutting-edge AI benchmarking project in the target language. As a Subject Matter Expert, you will create and review high-quality, real-world natural sciences scenarios that evaluate AI systems in the target locale-specific contexts. Your expertise will directly shape how AI understands and performs in the compliant mathematical environments. WHAT YOU’LL DELIVER - Create realistic, domain-specific tasks in the target language reflecting local natural sciences practices - Adapt and apply clear scoring rubrics to evaluate AI-generated and human responses - Review and score submissions for accuracy, regulatory alignment, and professional quality - Provide expert feedback and contribute to high-quality “gold standard” solutions QUALIFICATIONS - Native in the target language with strong professional English proficiency - 5+ years of experience in Natural Sciences (e.g. biology, chemistry, physics, environmental science, earth sciences, or related disciplines) - Strong knowledge of target local frameworks - Ability to write and evaluate professional-grade natural sciences content in the target language with high attention to detail WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY Step 1: Apply with the English-language version of your Resume/C.V. highlighting your expertise in the domain Step 2: Register in Tipalti to ensure a smooth payment process Step 3: Finalize onboarding and join the Production team AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "Subject Matter Expert – Natural Sciences (Bengali) – Remote at LILT. Skills: Natural Sciences, AI evaluation, Bengali language. Create natural sciences tasks in target language. 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Ideally, contributors will have: * Degree in Computer Science or related fields. * Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent. * 2+ years of professional experience: applied, research, or teaching experience is applicable. * Strong written English (C1+) . * Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. **How it works** Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid **Project time expectations** For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. **Compensation** On this project, contributors can earn up to **$45 per hour equivalent** , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.", "summaryDescription" : "Computer Science Expert with Python Experience - AI Projects at Mindrift. Skills: AI Projects, Python, Computer Science. Design Computer Science problems. 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Ideally, contributors will have: * Degree in Computer Science or related fields. * Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent. * 2+ years of professional experience: applied, research, or teaching experience is applicable. * Strong written English (C1+) . * Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. **How it works** Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid **Project time expectations** For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. **Compensation** On this project, contributors can earn up to **$80 per hour equivalent** , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.", "summaryDescription" : "Computer Science Expert with Python Experience - AI Projects at Mindrift. Skills: Python, AI Projects, Computer Science. Design Computer Science problems. 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Ideally, contributors will have: * Degree in Computer Science or related fields. * Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent. * 2+ years of professional experience: applied, research, or teaching experience is applicable. * Strong written English (C1+) . * Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. **How it works** Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid **Project time expectations** For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. **Compensation** On this project, contributors can earn up to **$50 per hour equivalent** , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.", "summaryDescription" : "Computer Science Expert with Python Experience - AI Projects at Mindrift. Skills: Python, AI Projects, Computer Science. Design Computer Science problems. 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Ideally, contributors will have: * Degree in Computer Science or related fields. * Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent. * 2+ years of professional experience: applied, research, or teaching experience is applicable. * Strong written English (C1+) . * Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. **How it works** Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid **Project time expectations** For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. **Compensation** On this project, contributors can earn up to **$80 per hour equivalent** , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.", "summaryDescription" : "Computer Science Expert with Python Experience - AI Projects at Mindrift. Skills: Python, AI Projects, Computer Science. Design Computer Science problems. Evaluate AI solutions", "postedDate" : "2026-05-31T00:00:00.000", "createdAt" : "2026-06-05T01:31:07.582", "lastUpdated" : "2026-06-05T15:10:35.538", "ingestTimestamp" : "2026-06-05T01:31:07.582", "mongoId" : "6a21f90b74d8ee00a0d4b771", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/C4E68C7030", "salaryAnnualMax" : 166400, "hasSalary" : false, "allSkills" : [ "Numerical validation", "AI reasoning", "Python", "AI Projects", "Computer Science", "Computer Science problems", "AI solutions evaluation", "AI reasoning improvement", "Structured scoring criteria", "AI systems", "CMME", "SAS Certifications", "CAP" ], "skillCount" : 13, "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "_score" : 872.2601, "daysOld" : 5, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a21f90b74d8ee00a0d4b784", "title" : "Computer Science Expert with Python Experience - AI Projects", "company" : "Mindrift", "salary" : { "max" : 12.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hyderabad, Telangana, India", "locations" : [ "Hyderabad, Telangana, India" ], "certifications" : [ "CMME", "SAS Certifications", "CAP" ], "timestamp" : "2026-06-05T14:43:54.460", "fingerprint" : "4684c56fa7f9019b7e79194349e8db984a83242129d6fa976ed2ef48bc2d3cee", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/5B77C876C1/apply", "externalId" : "5B77C876C1", "locationPoint" : "17.38405,78.45636", "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "PART_TIME", "minimumEducation" : "Degree in Computer Science or related fields", "experienceMinYears" : 2, "technicalSkills" : "Python, NumPy, Pandas, SciPy, MATLAB, R, C, SQL, Stata", "professionalSkills" : [ "Computer Science problems", "AI solutions evaluation", "Numerical validation", "AI reasoning improvement", "Structured scoring criteria" ], "hardSkillsList" : [ "Numerical validation", "AI reasoning" ], "hardSkills" : [ { "name" : "Numerical validation", "level" : "intermediate" }, { "name" : "AI reasoning", "level" : "intermediate" } ], "majorSkills" : "Python, AI Projects, Computer Science", "majorSkillsList" : [ "Python", "AI Projects", "Computer Science" ], "coreResponsibilities" : "Design Computer Science problems, Evaluate AI solutions, Validate calculations, Validate simulations, Improve AI reasoning, Apply scoring criteria", "teamCollaboration" : "Global community of PhDs", "domainKnowledge" : "AI systems", "domainList" : [ "ai-systems" ], "domainSpecificKnowledge" : [ "AI systems" ], "communicationSkills" : "English proficiency", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Degree in Computer Science, 2+ years professional experience, Written English (C1+)", "qualificationsPreferred" : "Professional certifications, Experience in international projects, Experience in applied projects", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "_**Please submit your CV in English and indicate your level of English proficiency.**_ Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. **Participation is project-based, not permanent employment.** **What this opportunity involves** While each project involves unique tasks, contributors may: * Design rigorous Computer Science problems reflecting professional practice; * Evaluate AI solutions for correctness, assumptions, and constraints; * Validate calculations or simulations using Python (NumPy, Pandas, SciPy); * Improve AI reasoning to align with industry-standard logic; * Apply structured scoring criteria to multi-step problems; * Collaborate with a global community of PhDs to ensure the highest scientific integrity. **What we look for** This opportunity is a good fit for Computer Science experts with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: * Degree in Computer Science or related fields. * Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent. * 2+ years of professional experience: applied, research, or teaching experience is applicable. * Strong written English (C1+) . * Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. **How it works** Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid **Project time expectations** For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. **Compensation** On this project, contributors can earn up to **$12 per hour equivalent** , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.", "summaryDescription" : "Computer Science Expert with Python Experience - AI Projects at Mindrift. Skills: Python, AI Projects, Computer Science. Design Computer Science problems. Evaluate AI solutions", "postedDate" : "2026-05-31T00:00:00.000", "createdAt" : "2026-06-05T01:28:02.176", "lastUpdated" : "2026-06-05T14:43:54.460", "ingestTimestamp" : "2026-06-05T01:28:02.176", "mongoId" : "6a21f90b74d8ee00a0d4b784", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/5B77C876C1", "salaryAnnualMax" : 24960, "hasSalary" : false, "allSkills" : [ "Numerical validation", "AI reasoning", "Python", "AI Projects", "Computer Science", "Computer Science problems", "AI solutions evaluation", "AI reasoning improvement", "Structured scoring criteria", "AI systems", "CMME", "SAS Certifications", "CAP" ], "skillCount" : 13, "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "_score" : 872.2601, "daysOld" : 5, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a21f90b74d8ee00a0d4b77f", "title" : "Computer Science Expert with Python Experience - AI Projects", "company" : "Mindrift", "salary" : { "max" : 50.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "CMME", "SAS Certifications", "CAP" ], "timestamp" : "2026-06-05T13:35:28.409", "fingerprint" : "d114978d8a06b13773ea875a2c548902d459c51a7295bf894520403edb64a5ff", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/BAD7044DAD/apply", "externalId" : "BAD7044DAD", "locationPoint" : "47.5162,14.5501", "structuredLocations" : [ { "continent" : "na", "workMode" : "remote" } ], "locationText" : "", "employmentType" : "PART_TIME", "minimumEducation" : "Degree in Computer Science or related fields", "experienceMinYears" : 2, "technicalSkills" : "Python, NumPy, Pandas, SciPy, MATLAB, R, C, SQL, Stata", "professionalSkills" : [ "Computer Science problems", "AI solutions", "AI reasoning" ], "hardSkillsList" : [ "Numerical validation" ], "hardSkills" : [ { "name" : "Numerical validation", "level" : "intermediate" } ], "majorSkills" : "AI Projects, Python, Computer Science", "majorSkillsList" : [ "AI Projects", "Python", "Computer Science" ], "coreResponsibilities" : "Design Computer Science problems, Evaluate AI solutions, Validate calculations, Validate simulations, Improve AI reasoning, Apply scoring criteria", "teamCollaboration" : "Global community", "domainKnowledge" : "AI systems", "domainList" : [ "ai-systems" ], "domainSpecificKnowledge" : [ "AI systems" ], "communicationSkills" : "English proficiency", "problemSolvingSkills" : "Correctness; Assumptions", "qualificationsBasic" : "Degree in Computer Science, 2+ years professional experience, written English (C1+)", "qualificationsPreferred" : "Professional certifications, Experience in international projects, Experience in applied projects", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "_**Please submit your CV in English and indicate your level of English proficiency.**_ Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. **Participation is project-based, not permanent employment.** **What this opportunity involves** While each project involves unique tasks, contributors may: * Design rigorous Computer Science problems reflecting professional practice; * Evaluate AI solutions for correctness, assumptions, and constraints; * Validate calculations or simulations using Python (NumPy, Pandas, SciPy); * Improve AI reasoning to align with industry-standard logic; * Apply structured scoring criteria to multi-step problems; * Collaborate with a global community of PhDs to ensure the highest scientific integrity. **What we look for** This opportunity is a good fit for Computer Science experts with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: * Degree in Computer Science or related fields. * Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent. * 2+ years of professional experience: applied, research, or teaching experience is applicable. * Strong written English (C1+) . * Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. **How it works** Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid **Project time expectations** For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. **Compensation** On this project, contributors can earn up to **$50 per hour equivalent** , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.", "summaryDescription" : "Computer Science Expert with Python Experience - AI Projects at Mindrift. Skills: AI Projects, Python, Computer Science. Design Computer Science problems. Evaluate AI solutions", "postedDate" : "2026-05-31T00:00:00.000", "createdAt" : "2026-06-05T01:26:05.028", "lastUpdated" : "2026-06-05T13:35:28.409", "ingestTimestamp" : "2026-06-05T01:26:05.028", "mongoId" : "6a21f90b74d8ee00a0d4b77f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/BAD7044DAD", "salaryAnnualMax" : 104000, "hasSalary" : false, "allSkills" : [ "Numerical validation", "AI Projects", "Python", "Computer Science", "Computer Science problems", "AI solutions", "AI reasoning", "AI systems", "CMME", "SAS Certifications", "CAP" ], "skillCount" : 11, "seniorityLevel" : "mid", "dataQualityScore" : 0.7777778, "_score" : 872.2601, "daysOld" : 5, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a8f3374d8ee00a068898a", "title" : "Product Analytics, Data Scientist", "company" : "Farsight AI", "industry" : "Product", "salary" : { "min" : 130000.0, "max" : 150000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York City", "locations" : [ "New York City" ], "timestamp" : "2026-06-13T08:44:12.191", "fingerprint" : "1f00aefe5ce17d21c237633499fdb9faad1cbb8399aac64706fe4bb2c17a7fda", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/farsight/09035138-bbd2-4fd5-8e01-4eede4d32507/application", "externalId" : "09035138-bbd2-4fd5-8e01-4eede4d32507", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Product analytics", "Data science", "Quantitative analysis" ], "hardSkillsList" : [ "Data translation", "Data synthesis" ], "softSkillsList" : [ "Curious", "Self-directed" ], "hardSkills" : [ { "name" : "Data translation", "level" : "intermediate" }, { "name" : "Data synthesis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious" }, { "name" : "Self-directed" } ], "majorSkills" : "Product analytics, Data science, SQL, Python", "majorSkillsList" : [ "Product analytics", "Data science", "SQL", "Python" ], "coreResponsibilities" : "Synthesize customer feedback, Synthesize usage data, Synthesize behavioral signals, Build dashboards, Build reporting infrastructure, Partner with strategy team, Define metrics, Track metrics, Inform product roadmap, Inform engineering priorities, Build analytics foundation", "teamCollaboration" : "Cross-functional role; Work with strategy team; Work with product; Work with engineering", "domainKnowledge" : "Agentic AI; Financial services; AI products", "domainList" : [ "agentic-ai", "financial-services", "ai-products" ], "domainSpecificKnowledge" : [ "Agentic AI", "Financial services", "AI products" ], "communicationSkills" : "Translate data; Clear narratives", "innovationCreativity" : "Building from scratch", "problemSolvingSkills" : "Turn ambiguous data into clear direction", "qualificationsBasic" : "3+ years in product analytics, 3+ years in data science, 3+ years in quantitative role, SQL skills, Python skills", "qualificationsPreferred" : "Experience in financial services, Experience in AI products, Experience in early-stage startups", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Farsight AI Farsight is the agentic AI platform for financial services, currently helping investment banks and private equity firms fully automate entire, highly nuanced workflows. Today, institutions will spend 80% of their time gathering information for and creating first drafts of materials by hand before iterating on and refining their decks, models, and pitches. We not only give them that time back to focus on what is important, but we also bring new insights and knowledge to their materials that they wouldn’t be able to uncover without the help of our financial-focused AI. Our Team Our team has had a wide range of experience that uniquely equips us to capture this massive opportunity. Our team comes from leading financial institutions like Evercore, General Atlantic and Menlo Ventures, supercharged by scalable engineering and AI skills from companies including Amazon, Hugging Face and the MIT Media Lab. We've learned the ins and outs of building successful startups from previous work as founders and founding engineers. We focus on hiring the best so that we can become the best, so we hope you apply! We are entirely based in Manhattan, New York City, and are in-person 4 days a week (except Fridays, which are remote). The Role This is Farsight's first Product Analytics hire. A high-impact, cross-functional role sitting at the intersection of product, engineering, and strategy. Early on, you'll work closely with the strategy team to synthesize customer feedback and usage patterns into clear, actionable insights. Over time, your work will directly shape product priorities and engineering decisions as we scale. This is a role for someone who is as comfortable talking to customers as they are writing SQL and gets energized by turning ambiguous data into clear direction. What You'll Do - Synthesize customer feedback, usage data, and behavioral signals into product insights - Build dashboards and reporting infrastructure that surface what's working and what isn't - Partner with the strategy team early on to understand and quantify customer pain points - Define and track the metrics that matter for an agentic AI product — including non-deterministic outputs - Inform product roadmap and engineering priorities with data-driven recommendations - Build the analytics foundation that scales with the product and team What We're Looking For - 3+ years in product analytics, data science, or a related quantitative role - Strong SQL and Python skills — you can get your own data without waiting on an engineer - Experience translating data into clear narratives for non-technical stakeholders - Comfort working in ambiguous, fast-moving environments with limited existing infrastructure - Curious, self-directed, and energized by building from scratch - Bonus: experience in financial services, AI products, or early-stage startups Compensation - Base salary within the bands of $130,000 to $150,000 - Meaningful equity at Series A", "summaryDescription" : "Product Analytics, Data Scientist at Farsight AI. Skills: Product analytics, Data science, SQL, Python. Synthesize customer feedback. Synthesize usage data", "postedDate" : "2026-06-11T16:53:40.128", "createdAt" : "2026-06-11T16:53:40.128", "lastUpdated" : "2026-06-13T08:44:12.191", "ingestTimestamp" : "2026-06-11T16:53:40.128", "mongoId" : "6a2a8f3374d8ee00a068898a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data translation", "Data synthesis", "Curious", "Self-directed", "Product analytics", "Data science", "SQL", "Python", "Quantitative analysis", "Agentic AI", "Financial services", "AI products" ], "skillCount" : 12, "jobCategory" : "product", "jobSubcategory" : "product", "dataQualityScore" : 1.0, "_score" : 868.68524, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services" }, { "id" : "6a2a714474d8ee00a0648cd7", "title" : "AI Data Expert - Spanish (US) - Remote", "company" : "LILT", "industry" : "LiltLancer Community", "salary" : { "min" : 52000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for an Entry-level AI Data Expert in the US Technology industry, adjusted for remote work and contract employment type." }, "location" : "USA (Remote)", "locations" : [ "USA (Remote)" ], "timestamp" : "2026-06-13T09:08:57.260", "fingerprint" : "0c75d4d6fbff6e608033b0b53cad8238637f176f46f42915b2e53a1ba1f92275", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lilt-production/085133e0-e856-45c9-81e6-4dbe2a46cefc/application", "externalId" : "085133e0-e856-45c9-81e6-4dbe2a46cefc", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "CONTRACT", "hardSkillsList" : [ "Analytical skills", "Nuanced judgment" ], "hardSkills" : [ { "name" : "Analytical skills", "level" : "intermediate" }, { "name" : "Nuanced judgment", "level" : "intermediate" } ], "majorSkills" : "AI training, AI evaluation", "majorSkillsList" : [ "AI training", "AI evaluation" ], "coreResponsibilities" : "Evaluate prompts, Evaluate AI-generated outputs, Review text, Correct text, Analyze multimedia content, Contribute voice recordings, Generate original content, Assess AI-generated outputs, Deliver culturally relevant content, Apply local insight, Spot visual artefacts, Spot inconsistent style, Spot translation errors, Spot cultural mismatches, Provide concise annotations, Provide structured annotations, Apply evaluation guidelines consistently, Participate in calibration processes, Participate in QA processes", "domainKnowledge" : "Local cultural context; Local norms; Market expectations", "domainList" : [ "local-cultural-context", "local-norms", "market-expectations" ], "domainSpecificKnowledge" : [ "Local cultural context", "Local norms", "Market expectations" ], "toolProficiency" : [ "SuperAnnotate" ], "outcomesObjectives" : "Ensure high-quality results; Meet task objectives", "qualificationsBasic" : "Native fluency in the target language, Ability to follow detailed guidelines consistently, High attention to detail", "qualificationsPreferred" : "Experience as AI reviewer, annotator, or evaluator", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT THE OPPORTUNITY We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects. In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others. You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations. WHAT YOU’LL DELIVER - Depending on the task, you may be asked to generate original content or assess AI-generated outputs. - Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit. - Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches. - Provide concise, structured annotations that can be used directly for model improvement. - Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards QUALIFICATIONS - Native fluency in the target language - Experience as AI reviewer, annotator, or evaluator preferred - Comfortable working with both textual and audio/video materials - Ability to follow detailed guidelines consistently and provide clear feedback - High attention to detail and ability to thoroughly and accurately categorize content WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY 1 - Submit your application including an updated copy of your CV in English 2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "AI Data Expert - Spanish (US) - Remote at LILT. Skills: AI training, AI evaluation. Evaluate prompts. Evaluate AI-generated outputs", "postedDate" : "2026-06-11T19:12:44.830", "createdAt" : "2026-06-11T19:12:44.830", "lastUpdated" : "2026-06-13T09:08:57.260", "ingestTimestamp" : "2026-06-11T19:12:44.830", "mongoId" : "6a2a714474d8ee00a0648cd7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 52000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Analytical skills", "Nuanced judgment", "AI training", "AI evaluation", "Local cultural context", "Local norms", "Market expectations", "SuperAnnotate" ], "skillCount" : 8, "jobCategory" : "other", "jobSubcategory" : "ai-data-services", "dataQualityScore" : 0.8888889, "_score" : 868.2004, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a714474d8ee00a0648cd8", "title" : "AI Data Expert - Spanish (Spain) - Remote", "company" : "LILT", "industry" : "LiltLancer Community", "salary" : { "min" : 28000.0, "max" : 40000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Entry-level AI Data Expert in Spain, adjusted for the technology industry and remote work." }, "location" : "Spain (Remote)", "locations" : [ "Spain (Remote)" ], "timestamp" : "2026-06-14T06:53:54.976", "fingerprint" : "46a0e0242e76ee5be11651960b0ffcbd42ac13a2db352b8a8a31965424919d8c", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lilt-production/aa8a1b3a-500b-40df-b95e-b7137cf8d954/application", "externalId" : "aa8a1b3a-500b-40df-b95e-b7137cf8d954", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Spain", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Spain", "employmentType" : "CONTRACT", "hardSkillsList" : [ "Analytical skills", "Attention to detail" ], "hardSkills" : [ { "name" : "Analytical skills", "level" : "intermediate" }, { "name" : "Attention to detail", "level" : "intermediate" } ], "majorSkills" : "AI training, AI evaluation", "majorSkillsList" : [ "AI training", "AI evaluation" ], "coreResponsibilities" : "Evaluate prompts, Evaluate AI-generated outputs, Review text, Correct text, Analyze multimedia content, Contribute voice recordings, Apply careful judgment, Generate original content, Assess AI-generated outputs, Deliver culturally relevant content, Apply local insight, Spot common issues, Provide concise annotations, Apply evaluation guidelines, Participate in calibration processes, Participate in QA processes", "domainKnowledge" : "Local cultural context; Local norms; Market expectations", "domainList" : [ "local-cultural-context", "local-norms", "market-expectations" ], "domainSpecificKnowledge" : [ "Local cultural context", "Local norms", "Market expectations" ], "toolProficiency" : [ "SuperAnnotate" ], "communicationSkills" : "Provide clear feedback", "outcomesObjectives" : "Ensure high-quality results; Meet task objectives", "qualificationsBasic" : "Native fluency in target language, Ability to follow detailed guidelines", "qualificationsPreferred" : "Experience as AI reviewer, Experience as annotator, Experience as evaluator", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ABOUT THE OPPORTUNITY We are seeking detail-oriented human reviewers with a strong understanding of their local cultural context to support a range of AI training and evaluation projects. In this role, you will work across diverse task types, including evaluating prompts and AI-generated outputs, reviewing and correcting text, analyzing multimedia content, contributing voice recordings, among others. You will contribute to ensuring high-quality results by applying careful judgment to factors such as accuracy, clarity, cultural appropriateness, brand alignment, and overall effectiveness in meeting task objectives. This work requires strong analytical skills, attention to detail, and nuanced judgment informed by real-world standards, local norms, and market expectations. WHAT YOU’LL DELIVER - Depending on the task, you may be asked to generate original content or assess AI-generated outputs. - Deliver culturally relevant and appropriate content by applying local insight into tone, symbolism, visual cues, and market fit. - Spot common issues such as visual artefacts, inconsistent style, translation errors, or cultural mismatches. - Provide concise, structured annotations that can be used directly for model improvement. - Apply evaluation guidelines consistently and participate in calibration and QA processes to ensure aligned scoring and judgment standards QUALIFICATIONS - Native fluency in the target language - Experience as AI reviewer, annotator, or evaluator preferred - Comfortable working with both textual and audio/video materials - Ability to follow detailed guidelines consistently and provide clear feedback - High attention to detail and ability to thoroughly and accurately categorize content WHY COLLABORATE WITH LILT? - Your schedule, your rules. As an independent contractor, work when you want, as much or as little as you want. No fixed hours, no check-ins, no micromanaging. - Get paid quickly and fairly. We respect your time and your expertise. Competitive rates, prompt payments, no chasing invoices. - Work on projects that actually matter. Contribute to cutting-edge AI and language technology that is shaping how humans and machines communicate. - Be part of something bigger. Join a global community of linguists, subject matter experts, and language professionals who are advancing human knowledge together. - Grow without limits. As a Lilt contractor you get access to diverse, innovative projects that expand your portfolio and sharpen your skills across industries and domains. - Earn recognition for great work. Top contributors unlock higher rates, priority project access, and a platform to be seen as the expert you are. - Have fun doing what you love. Bring your language skills to life on projects that are as interesting as they are impactful. HOW TO JOIN OUR EXPERT COMMUNITY 1 - Submit your application including an updated copy of your CV in English 2 - Complete a short assessment in SuperAnnotate to evaluate your annotation skills 3 - Finalize onboarding and profile set-up in our system, and become eligible for Applied AI projects. AI is changing how the world communicates — and LILT is leading that transformation. LILT's mission is to make the world's information available to everyone, no matter the language they speak. Join our global community who thrive on innovation and excellence. Our collective knowledge, uniqueness, and skills deliver multilingual AI and human-verified services to Enterprises, Governments, and AI Developers around the world. Earn money. Have fun. Advance human knowledge. Work on diverse projects from anywhere, any time you want. Get paid quickly and fairly, and build your professional network in a supportive community—all through a streamlined application process tailored to your expertise. Information collected and processed as part of your application process, including any job applications you choose to submit, is subject to LILT's Privacy Policy at https://lilt.com/legal/privacy. At LILT, we are committed to a fair, inclusive, and transparent hiring process. As part of our recruitment efforts, we may use artificial intelligence (AI) and automated tools to assist in the evaluation of applications, including résumé screening, assessment scoring, and interview analysis. These tools are designed to support human decision-making and help us identify qualified candidates efficiently and objectively. All final hiring decisions are made by people. If you have any concerns, require accommodations, or would like to opt-out of the use of AI in our hiring process, please let us know at recruiting@lilt.com. LILT is an equal opportunity employer. We extend equal opportunity to all individuals without regard to an individual’s race, religion, color, national origin, ancestry, sex, sexual orientation, gender identity, age, physical or mental disability, medical condition, genetic characteristics, veteran or marital status, pregnancy, or any other classification protected by applicable local, state or federal laws. We are committed to the principles of fair employment and the elimination of all discriminatory practices.", "summaryDescription" : "AI Data Expert - Spanish (Spain) - Remote at LILT. Skills: AI training, AI evaluation. Evaluate prompts. Evaluate AI-generated outputs", "postedDate" : "2026-06-11T17:36:25.773", "createdAt" : "2026-06-11T17:36:25.773", "lastUpdated" : "2026-06-14T06:53:54.976", "ingestTimestamp" : "2026-06-11T17:36:25.773", "mongoId" : "6a2a714474d8ee00a0648cd8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Analytical skills", "Attention to detail", "AI training", "AI evaluation", "Local cultural context", "Local norms", "Market expectations", "SuperAnnotate" ], "skillCount" : 8, "jobCategory" : "other", "jobSubcategory" : "ai-data-services", "dataQualityScore" : 0.8888889, "_score" : 866.12616, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "6a2a67c574d8ee00a06314e2", "title" : "Senior AI Platform Engineer - Customer Experience", "company" : "OPSWAT", "industry" : "Cybersecurity", "salary" : { "min" : 1.0E9, "max" : 1.5E9, "currency" : "VND", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior AI Platform Engineer in Ho Chi Minh City, Vietnam, adjusted for the cybersecurity industry and company size." }, "location" : "Ho Chi Minh City, Ho Chi Minh City, Vietnam", "locations" : [ "Ho Chi Minh City", "Ho Chi Minh City", "Vietnam" ], "timestamp" : "2026-06-14T06:23:18.838", "fingerprint" : "53004953d985b97bd630200987432b0f29b3f6039b5a1a5e3d1eed567b6422a4", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.opswat.com/jobs/4703470005?gh_jid=4703470005", "externalId" : "4703470005", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Ho Chi Minh City", "state" : "Ho Chi Minh City", "country" : "Vietnam", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "10.8071882,106.7572664" } ], "locationText" : "Ho Chi Minh City, Ho Chi Minh City, Vietnam", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI, Machine Learning", "professionalSkills" : [ "Platform engineering", "Digital transformation" ], "hardSkillsList" : [ "Agentic AI", "Case resolution", "Customer support" ], "hardSkills" : [ { "name" : "Agentic AI", "level" : "intermediate" }, { "name" : "Case resolution", "level" : "intermediate" }, { "name" : "Customer support", "level" : "intermediate" } ], "majorSkills" : "AI Platform Engineering, Customer Experience, Automation", "majorSkillsList" : [ "AI Platform Engineering", "Customer Experience", "Automation" ], "coreResponsibilities" : "Design AI-powered systems, Engineer AI-powered systems, Ship AI-powered systems, Design agentic AI support agent, Ship agentic AI support agent, Reason over product documentation, Reason over knowledge base, Reason over historical cases, Reason over release notes, Reason over engineering knowledge, Gather diagnostic context, Escalate to human engineer, Operate inside live support, Take real actions, Learn from case outcomes, Architect systems, Build systems, Adopt documentation direction, Operationalize documentation direction", "teamCollaboration" : "CX Leadership meetings; Enterprise Applications team; Digital Transformation team", "domainKnowledge" : "IT cybersecurity; OT cybersecurity; ICS cybersecurity; Critical infrastructure; Air-gapped environments; Constrained environments", "domainList" : [ "it-cybersecurity", "ot-cybersecurity", "ics-cybersecurity", "critical-infrastructure", "air-gapped-environments", "constrained-environments" ], "domainSpecificKnowledge" : [ "IT cybersecurity", "OT cybersecurity", "ICS cybersecurity", "Critical infrastructure", "Air-gapped environments", "Constrained environments" ], "documentationSkills" : "Product documentation; Engineering knowledge", "problemSolvingSkills" : "Problem solving; Troubleshooting", "outcomesObjectives" : "Reduce CX headcount; Improve customer satisfaction; Reduce manual workload; Shrink time-to-resolution; Increase customer self-service; Inform proactive customer engagement; Inform customer retention", "qualificationsBasic" : "50% delivery output quality, 50% technical excellence, AI adoption", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "OPSWAT, a global leader in IT, OT, and ICS critical infrastructure cybersecurity, delivers an end-to-end platform that gives public and private sector organizations and enterprises the critical advantage needed to protect their complex networks, secure their devices, and ensure compliance. Over the last 20 years our commitment to innovative technology has earned the trust of more than 1,700 organizations, governments, and institutions globally, solidifying our role in protecting the world’s critical infrastructure and securing our way of life. The position This is an architect-and-build role. Not a strategy role. Not an advisory role. You will design, engineer, and ship AI-powered systems that directly change how OPSWAT’s customers get support, solve problems, and realize value from our platform. Our Customer Experience organization supports some of the world’s most security-conscious enterprises - organizations operating in air-gapped, OT, and mission-critical environments where a slow resolution or a missed issue has real consequences. Your job is direct and non-negotiable: use AI to reduce CX headcount through automation and digital transformation while simultaneously improving customer satisfaction. This is not a “future state” ambition - it is the explicit mission of this role. This role operates in a matrix management structure. You will work directly with the SVP of Customer Experience and participate in CX Leadership meetings, ensuring full alignment with CX strategy and priorities. At the same time, you will report to the head of Enterprise Applications and Digital Transformation team, to ensure that your work leverage the governed platform/framework that has been developed, avoiding duplicated work and security risks. The work you do is exclusively CX-focused. Your performance will be judged on: 50% of delivery output quality from SVP of CX, and 50% on technical excellence and AI adoption by head of Digital Transformation team. If you want to build AI systems that have a direct, measurable impact on how a world-class CX organization operates - fewer people doing manual work, more customers solving their own problems, higher satisfaction scores across the board - this role is for you. What you’ll own Agentic AI Support Agent Design and ship an agentic AI support agent that attempts to resolve incoming cases on its own - reasoning over product documentation, knowledge base articles, historical cases, release notes, and engineering knowledge to answer the customer directly. Where it can't fully resolve, it triages and prioritizes the case, gathers the right diagnostic context, and escalates to a human engineer with that context attached. It operates inside the live support workflow, takes real actions through our integrations, and learns from the outcomes of every case it touches. The goal is to reduce manual workload and shrink time-to-resolution. Documentation your job is to architect and build systems that adopt and operationalize that direction at scale. What success looks like Measurable reduction in CX headcount requirements through AI-driven automation and digital transformation - this is the primary goal of this role. Measurable reduction in manual support workload through AI-driven automation. Faster case resolution and improved customer satisfaction scores. Increased customer self-service adoption - especially in OT and constrained environments. AI-driven operational insights that inform proactive customer engagement and retention OPSWAT is an equal opportunity employer. We celebrate diversity and are committed to providing an environment where equal employment opportunities are extended to all employees and applicants, free of discrimination and harassment of any type. All employment decisions are based on individual qualifications, job requirements, and business needs 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 category protected by federal, state, or local laws. Recruiting Agencies: we do not accept unsolicited resumes from third party agencies for any of our open positions. To submit resumes for our jobs, there must be a recruiting contract approved by our legal team and endorsed by both parties. We are currently not accepting additional 3rd party agencies at this time.", "summaryDescription" : "Senior AI Platform Engineer - Customer Experience at OPSWAT. Skills: AI Platform Engineering, Customer Experience, Automation. Design AI-powered systems. Engineer AI-powered systems", "postedDate" : "2026-06-11T22:20:35.905", "createdAt" : "2026-06-11T22:20:35.905", "lastUpdated" : "2026-06-14T06:23:18.838", "ingestTimestamp" : "2026-06-11T22:20:35.905", "mongoId" : "6a2a67c574d8ee00a06314e2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Agentic AI", "Case resolution", "Customer support", "AI Platform Engineering", "Customer Experience", "Automation", "Platform engineering", "Digital transformation", "IT cybersecurity", "OT cybersecurity", "ICS cybersecurity", "Critical infrastructure", "Air-gapped environments", "Constrained environments" ], "skillCount" : 14, "jobCategory" : "other", "jobSubcategory" : "enterprise-platform", "dataQualityScore" : 0.8888889, "_score" : 863.6586, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Cybersecurity" }, { "id" : "6a2a5cd074d8ee00a06169a1", "title" : "AI Product Lead (m/f/d)", "company" : "A11", "industry" : "B2B mobility and payment solutions", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the German technology market for a Lead AI Product role in Düsseldorf, considering seniority and full-time employment." }, "location" : "DKV", "locations" : [ "DKV" ], "timestamp" : "2026-06-14T06:16:11.778", "fingerprint" : "037aa5ed029218156d2f1a02a90167c300fee8011bc03c46ba8c6c4939e04743", "source" : "greenhouse", "language" : "de", "applyUrl" : "https://job-boards.greenhouse.io/projectaservicesgmbhcokg/jobs/8578345002", "externalId" : "8578345002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Düsseldorf", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.2254018,6.7763137" } ], "locationText" : "Düsseldorf, Germany", "experienceMinYears" : 5, "experienceMaxYears" : 7, "experienceLevel" : "Lead", "technicalSkills" : "Python, SQL, ML frameworks, Cloud data infrastructure", "professionalSkills" : [ "Product strategy", "Roadmap development", "User stories", "Business cases", "Revenue impact" ], "hardSkillsList" : [ "Data Science", "AI Product Management", "Engineering" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data Science", "level" : "intermediate" }, { "name" : "AI Product Management", "level" : "intermediate" }, { "name" : "Engineering", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "AI Product Management, Data Science, Sales Models portfolio", "majorSkillsList" : [ "AI Product Management", "Data Science", "Sales Models portfolio" ], "coreResponsibilities" : "Own product roadmap for Sales Models portfolio, Lead cross-functional team, Drive integration of sales models, Own feedback loop, Translate GTM requirements, Build governance infrastructure", "teamCollaboration" : "Cross-functional team; Data Scientists; Engineers", "projectManagementSkills" : [ "Roadmap", "Prioritization", "Sprint cadence", "Quality gates" ], "domainKnowledge" : "Next Best Action; Churn; Customer Lifetime Value; Cross-sell logic; Share-of-wallet estimation", "domainList" : [ "next-best-action", "churn", "customer-lifetime-value", "cross-sell-logic", "share-of-wallet-estimation" ], "domainSpecificKnowledge" : [ "Next Best Action", "Churn", "Customer Lifetime Value", "Cross-sell logic", "Share-of-wallet estimation" ], "toolProficiency" : [ "Dynamics 365", "Power BI" ], "communicationSkills" : "C-level communication", "problemSolvingSkills" : "Model improvements; Business-actionable trade-offs", "specialRequirements" : "Travel 1-2 times per month, 3 days per week on-site preferred", "qualificationsBasic" : "5-7 years experience, Technically deep, Fluent in German", "qualificationsPreferred" : "Combining two of: consultancy data science, Lead Data Scientist role, AI/ML PM role at scale-up", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About the Job As a key growth accelerator, A11 partners with Europe’s most ambitious startups and scaleups, corporates and SMBs to connect them with top-tier talent ready to make an impact. We're looking for an AI Product Lead (m/f/d) to own one of the most technically ambitious and commercially consequential AI initiatives in European B2B. Our partner company is a leading B2B mobility and payment solutions provider active in 50+ countries, with around 2,700 employees and €19 billion in transaction volume. As the business enters its next phase, it is investing heavily in data and AI to strengthen its market position at scale. You will own the full Sales Models portfolio - Next Best Action, Churn, Customer Lifetime Value, and adjacent use cases - and lead a cross-functional team of Data Scientists and Engineers to deliver it. You set the roadmap, the technical standard, and the business case. You translate model outputs into decisions that reach C-level, and field reality into model improvements. This is not a coordination role. You define what gets built, in which order, and why. In this role, you’ll: Own the product roadmap for the Sales Models portfolio: NBA engine, Churn integration, CLV modeling, and adjacent use cases such as cross-/upsell logic and share-of-wallet estimation Lead a cross-functional team of 3-5 Data Scientists and 1-2 Engineers with full functional authority: technical direction, prioritization, sprint cadence, quality gates, and delivery Drive integration of sales models into operative systems (Dynamics 365, Power BI) and own the feedback loop between field sales, CRM data, and model iteration - turning market signals into systematic improvements Translate GTM requirements into model specifications and model constraints into business-actionable trade-offs for senior leadership, while building the governance infrastructure that makes the portfolio sustainable at scale Your Profile: 5-7 years at the intersection of Data Science, AI Product Management, and Engineering, ideally combining two of: a top-tier consultancy data science practice, a Lead Data Scientist role with team responsibility, or an AI/ML PM role at a scale-up Technically deep (Python, SQL, ML frameworks, cloud data infrastructure) and able to lead Data Scientists credibly: setting direction on model architecture, reviewing feature engineering choices, and stepping into the code when needed You think in business cases and revenue impact, not just model accuracy - and can communicate trade-offs clearly to both a CCO and a Data Scientist Fluent in German and English; willingness to travel within Europe 1-2 times per month Please note that this position is based close to Düsseldorf. At least three days per week on-site are preferred. Benefits and Perks: Full ownership from day one: roadmap, team direction, and outcomes - not a slice of someone else's initiative Direct C-level visibility on one of the company's most strategically important AI programs, with a clear path into broader product and leadership roles An international environment spanning HQ strategy to field sales across European markets, with flexible hybrid working and additional perks including Jobrad eBike leasing and parent-child offices If you’re eager to join the A11 Ecosystem and shape what’s next, we want to hear from you! Our Commitment to Diversity and Inclusion A11 is committed to diverse and equal opportunities hiring for all – applicants, candidates, and employees alike. We value humans – with all our glorious multifaceted backgrounds, perspectives, and experiences – and look forward to your application.", "summaryDescription" : "AI Product Lead (m/f/d) at A11. Skills: AI Product Management, Data Science, Sales Models portfolio. Own product roadmap for Sales Models portfolio. 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Ideally, contributors will have: * Degree in Civil Engineering or related fields; * Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent; * 2+ years of professional experience: applied, research, or teaching experience is applicable; * Understanding of practical engineering constraints and approximations; * Strong written English (C1+). **How it works** Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid **Project time expectations** For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. **Compensation** On this project, contributors can earn up to **$36 per hour equivalent** , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.", "summaryDescription" : "Civil Engineer & Python Expert - Freelance AI Trainer at Mindrift. Skills: Civil Engineering, Python, AI Training. Design computational engineering problems. Create problems requiring Python", "postedDate" : "2026-06-06T00:00:00.000", "createdAt" : "2026-06-11T22:18:51.105", "lastUpdated" : "2026-06-13T23:15:43.064", "ingestTimestamp" : "2026-06-11T22:18:51.105", "mongoId" : "6a259df874d8ee00a01aad45", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://apply.workable.com/j/AA85E07C9B", "salaryAnnualMax" : 74880, "hasSalary" : false, "allSkills" : [ "Python programming", "Numerical validation", "Civil Engineering", "Python", "AI Training", "Computational engineering", "System design", "Optimization", "Numerical methods", "Engineering calculations", "Engineering", "AI systems" ], "skillCount" : 12, "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "_score" : 855.97284, "daysOld" : 7, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a21f90b74d8ee00a0d4b778", "title" : "Computer Science Expert with Python Experience - AI Projects", "company" : "Mindrift", "salary" : { "max" : 50.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Stuttgart, Baden-Württemberg, Germany", "locations" : [ "Stuttgart, Baden-Württemberg, Germany" ], "certifications" : [ "CMME", "SAS Certifications", "CAP" ], "timestamp" : "2026-06-05T12:08:53.152", "fingerprint" : "242930afb06d324c2b4adb9a87c11cd936b684f81bc6894134fef50d5dae7439", "source" : "workable", "language" : "en", "applyUrl" : "https://apply.workable.com/j/EA116415ED/apply", "externalId" : "EA116415ED", "locationPoint" : "48.78232,9.17702", "structuredLocations" : [ { "city" : "Stuttgart", "state" : "Baden-Württemberg", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "remote", "geo" : "48.7784485,9.1800132" } ], "locationText" : "Stuttgart, Baden-Württemberg, Germany", "employmentType" : "PART_TIME", "minimumEducation" : "Degree in Computer Science or related fields", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Python, NumPy, Pandas, SciPy, MATLAB, R, C, SQL, Stata", "professionalSkills" : [ "Computer Science problems", "AI solutions evaluation", "Numerical validation", "AI reasoning improvement", "Structured scoring criteria" ], "hardSkillsList" : [ "Numerical validation", "AI reasoning" ], "hardSkills" : [ { "name" : "Numerical validation", "level" : "intermediate" }, { "name" : "AI reasoning", "level" : "intermediate" } ], "majorSkills" : "Python, AI Projects, Numerical validation", "majorSkillsList" : [ "Python", "AI Projects", "Numerical validation" ], "coreResponsibilities" : "Design Computer Science problems, Evaluate AI solutions, Validate calculations, Validate simulations, Improve AI reasoning, Apply structured scoring criteria", "teamCollaboration" : "Global community of PhDs", "domainKnowledge" : "AI systems", "domainList" : [ "ai-systems" ], "domainSpecificKnowledge" : [ "AI systems" ], "communicationSkills" : "English proficiency", "problemSolvingSkills" : "Correctness evaluation; Assumptions evaluation", "qualificationsBasic" : "Degree in Computer Science, Python proficiency, 2+ years professional experience, Written English C1+", "qualificationsPreferred" : "Professional certifications, Experience in international projects, Experience in applied projects", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "_**Please submit your CV in English and indicate your level of English proficiency.**_ Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. **Participation is project-based, not permanent employment.** **What this opportunity involves** While each project involves unique tasks, contributors may: * Design rigorous Computer Science problems reflecting professional practice; * Evaluate AI solutions for correctness, assumptions, and constraints; * Validate calculations or simulations using Python (NumPy, Pandas, SciPy); * Improve AI reasoning to align with industry-standard logic; * Apply structured scoring criteria to multi-step problems; * Collaborate with a global community of PhDs to ensure the highest scientific integrity. **What we look for** This opportunity is a good fit for Computer Science experts with an experience in python open to part-time, non-permanent projects. Ideally, contributors will have: * Degree in Computer Science or related fields. * Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent. * 2+ years of professional experience: applied, research, or teaching experience is applicable. * Strong written English (C1+) . * Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage. **How it works** Apply → Pass qualification(s) → Join a project → Complete tasks → Get paid **Project time expectations** For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active. **Compensation** On this project, contributors can earn up to **$50 per hour equivalent** , depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.", "summaryDescription" : "Computer Science Expert with Python Experience - AI Projects at Mindrift. Skills: Python, AI Projects, Numerical validation. Design Computer Science problems. 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Avec une équipe de plus de 1 500 experts en Innovation, en RH et en fiscalité répartis dans 14 pays ; nos 3 solutions de services : le conseil, les services numériques et les services managés. Un poste stratégique et opérationnel au cœur de notre transformation en matière de données et d’IA. Responsable de deux équipes complémentaires : * Fondations & BI : ingénieurs de données et analystes de données. * Produits appliqués : data scientists et développeurs IA Vous serez chargé de : * Gérer une équipe multidisciplinaire dédiée aux données (ingénierie des données et science des données) * Animer des ateliers avec les expertises métiers pour cerner les besoins, les opportunités et les exigences * Traduire les besoins métier en produits/solutions Data & IA, en mettant fortement l'accent sur la BI à l'échelle de l'entreprise * Piloter la conception, le développement et la mise en œuvre de produits Data & IA * Apporter une contribution pratique sur des sujets techniques en collaboration avec l'équipe, y compris le soutien à la mise en œuvre des produits data * Collaborer avec les parties prenantes métier, data et informatiques pour garantir l'impact des solutions (ROI) ## Qualifications * Au moins 5 ans d'expérience dans l'ingénierie des données, l'ingénierie analytique, la science des données ou un poste technique similaire lié aux données * Une expérience avérée dans l'accompagnement d'équipes chargées des données * Une solide expertise des technologies modernes de la pile de données (par exemple : Databricks/Snowflake, Airflow/n8n, Fivetran/Airbyte, Power BI/Tableau/Looker ou des outils équivalents) * Expérience dans l'utilisation de langages de données (par ex. Python, SQL, Spark, etc.) * Solide compréhension de la modélisation des données, de la conception de pipelines, de l'orchestration et des cadres de qualité des données * Bonne compréhension des technologies cloud (AWS, Azure ou GCP) * Solides compétences en communication et en gestion des parties prenantes A propos de vous : * Un leader qui aime donner les moyens d'agir aux autres et créer une culture d'équipe hautement performante * À l'aise pour passer d'une réflexion stratégique à une contribution pratique * Passionné par la mise en place de fondations de données robustes * Clair, structuré et efficace dans votre communication avec les équipes techniques ## Additional Information Politique HR: * Boostez votre potentiel avec nos programmes Ayming Academy et Ayming Digital Academy ! * Évoluez dans votre carrière grâce à notre accompagnement sur mesure « My Professional Journey » ou « MoveWithUs » * Travaillez autrement : flexibilité, espaces inspirants et conviviaux, et jusqu’à 108 jours de télétravail par an. * Partagez des moments uniques lors d’événements et rencontres tout au long de l’année. Avantages : * Rémunération fixe et variable selon profil + Prime flexible et individualisable * Indemnité télétravail & Indemnité téléphonie * CSE , Prévoyance et mutuelle * Tickets restaurant à 11€ * Bien-être au travail et carrière * Soutien à la parentalité * D’une politique de développement de votre potentiel au travers de notre Ayming Academy et Ayming Digital Academy * Un programme d’évolution de carrière au travers de nos accompagnements RH « My Professionnal Journey » * De notre Nouvelle Vie au travail : flexibilité, espaces créativité et conviviaux, 108 jours de télétravail par an * Des moments de rencontre lors d’événements tout au long de l‘année #LI-PEGGY #LI-HYBRID", "summaryDescription" : "Manager – Data Engineer & Data Science H/F at Ayming. Skills: Data engineering, Data science, Business intelligence, AI products. Manage multidisciplinary data team. 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Not for symptoms to get worse. Not for a six‑month appointment. Not for a system to catch up. But that’s exactly how healthcare works today. You wait, until you can’t. Alan exists to end the wait. Health is a universal right, and we believe this right can only become real when it’s coupled with prevention. We need to stop treating health as something we repair and start treating it as something we build, every day. It’s not solely a question of willpower. It’s the healthcare system itself that needs to work for everyone, in a sustainable way. So we are building the new standard in prevention insurance. Alan is the first company that integrates insurance, prevention, and care into a single, acclaimed user experience. We are on an incredible journey to build a global leading company, with a unique culture https://alan.com/en/careers. We already partner with 40K+ companies of all sizes, serving more than 1M+ members, and have reached €800M+ in ARR. Prevention as the new norm. That's what we're building with our team of 800+ people. If it speaks to you: we're hiring across France, Spain, Belgium, and Canada. And beyond. \uD83E\uDD18 HOW WE DO IT ? People joining Alan are often surprised and delighted by our innovative working method. We have a set of cultural values https://alan.com/about/company-culture that guide our approach to work, such as: \uD83C\uDFAF What drives us — We're obsessed with helping our members live healthier Mission is the Boss: long-term thinking, seeking our mission success above all else. Member & customer-led: obsessively focused on solving members & customers problems and creating the most delightful experiences. \uD83C\uDFC6 How we build excellence — We hire the best people and give them platform to succeed Champions of excellence: extremely high standards and talent density. Distributed ownership: accountable enlightened despots, everyone owns their decisions and results. Radically transparent: all information is accessible and written-first, so everyone can make the best decisions asynchronously \uD83E\uDD1D How we grow together — We help each other improve through honest feedback and bold thinking Optimistic alchemy: optimists who collaborate with genuine care and support teammates. Empathetic challengers: direct, caring feedback combined with praises to help each other grow professionally Bold & creative contrarians: think differently to achieve greatness, try new approaches ⚡ How we move fast — We fight complexity and focus on what matters most Disciplined in execution: taking decisive actions with focus that compounds success over time Fight for simplicity: only high impact processes, smart frugality ⭐️ YOUR MISSION ⭐️ \uD83D\uDC69‍\uD83D\uDCBBHELPING OUR MEMBERS As a Care Expert, your primary mission is to transform member requests into delightful experiences. You'll be their trusted guide, providing: ✨ Meaningful solutions that make a real difference ⚡️ Swift, timely responses when they need you most \uD83C\uDFAF Crystal-clear, accurate information \uD83E\uDD1D Transparent and helpful guidance every step of the way You'll dive into the fascinating world of healthcare, mastering both: - The intricacies of the French healthcare system - The unique needs of our B2B partners who've chosen Alan as their corporate health insurance provider Your role sits at the heart of what makes Alan special – turning complex healthcare questions into simple, human experiences. \uD83D\uDC77IMPROVING ALAN \uD83C\uDFAF Your time at Alan: A perfect balance - 80% dedicated to providing exceptional member support - 20% driving innovative Care projects tailored to your unique expertise \uD83D\uDE80 Project leadership opportunities As an experienced Care Expert, you'll have the chance to: ✨ Drive Process Excellence - Identify and implement key improvements - Transform data insights into actionable solutions - Lead end-to-end implementation \uD83D\uDC65 Team impact - Guide and inspire fellow Alaners - Build high-performing project teams - Shape the future of Care at Alan \uD83C\uDF1F Example of projects you might lead: - Design member empowerment initiatives that boost autonomy - Architect Care team structures for peak performance - Collaborate on cross-community product innovations - Help us grow by attracting top Care talent Your projects will be shaped by your passions and expertise, making each role truly unique! ⭐ JOIN THE CARE TEAM! ⭐️ You will thrive at Alan if you: - Have a genuine passion for helping others and find joy in solving member challenges - Master French and English at a full working proficiency level (written and spoken) - Navigate technology with confidence and embrace digital tools - Feel at ease connecting with members across all channels - email, chat, and phone calls (call-back only) - Bring natural empathy and a calm presence to every interaction - Love taking initiative and turning ideas into action - Thrive in collaborative environments where you can both learn and share knowledge - Bonus: Already understand the French healthcare system (but don't worry if you don't - we're great teachers! \uD83D\uDE09) For this opportunity, we are aiming to hire within the A2-B1 level range https://alan.com/en/careers/a/salary-equity of our salary grid. Interviews will start end of March. ℹ️ Your home base should be in France (fiscal residence), where you'll be part of our vibrant Care Expert team \uD83C\uDDEB\uD83C\uDDF7. \uD83D\uDE4C PERKS & BENEFITS https://alan.com/about/life-at-alan/a/perks At Alan, we believe that being in good health is a basic need, and it starts with our employees. This is why Alaners are provided with a stimulating environment and perks ensuring they are happy, efficient and spend only high-quality time with co-workers. Therefore, we offer: - Fair rewards. Generous equity packages complement your base salary, for permanent contracts only. - Flexible Office. Amazing office space at our HQ, sponsored co-working hubs or a full-remote experience with home office equipment sponsorship, we want you to live where you’re the happiest. - All the tools you need. Top of the range equipment: Macbook Pro, keyboard, laptop stand, monitor, and Bose noise-canceling headphones. - Flexible vacation policy and flexible working hours. Organize your time as you wish. - Delightful healthcare insurance: Extremely comprehensive health insurance - 100% for you and your children, 90-100% for partners depending on your country (permanent contracts only). - Transport. Country-specific commuter benefits. - Learning & Training opportunities. A highly flexible Training policy free books and budget to attend and speak at conferences if the opportunity arises. - Personal growth through coaching: At Alan, coaching isn't just a perk - it's core to who we are. Every Alaner is paired with a dedicated coach from day one, who helps maximize their impact, nurture engagement, and navigate Alan's values to develop their full potential. Learn more about our coaching culture https://alan.com/en/blog/discover-alan/a/alan-culture-excellence-through-coaching. - Parental leave. Extended parental leave for all new parents, for permanent contracts only. IMPORTANT NOTE: WE HIRE PEOPLE, NOT ROLES. If you're excited about this opportunity but don't check every box, we'd love to hear from you. Everyone, no matter how underrepresented, should feel free to apply as it can only bring learnings or success. If you identify yourself as a woman: Did you know that research shows women often apply only when meeting 100% of requirements? Remember, this is just a guide, not a checklist. We'll be thrilled to receive your application! \uD83D\uDD16 Check out our About Alan https://alan.com/about and Career https://alan.com/careers pages, as well as our Medium https://medium.com/alan, blog https://blog.alan.com/ and Glassdoor page https://www.glassdoor.com/Overview/Working-at-Alan-EI_IE1696043.11,15.htm for more info.", "summaryDescription" : "Care Expert - France at Alan. Skills: Member support, Care projects. Transform member requests into delightful experiences. Provide meaningful solutions", "postedDate" : "2026-06-11T16:39:25.615", "createdAt" : "2026-06-11T16:39:25.615", "lastUpdated" : "2026-06-14T04:33:27.704", "ingestTimestamp" : "2026-06-11T16:39:25.615", "mongoId" : "6a2a9e6674d8ee00a06a3fc2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Solving member challenges", "Empathy", "Initiative", "Member support", "Care projects", "Healthcare system", "Corporate health insurance", "French healthcare system" ], "skillCount" : 8, "jobCategory" : "other", "jobSubcategory" : "care-\uD83C\uDDEB\uD83C\uDDF7", "dataQualityScore" : 0.8888889, "_score" : 851.9357, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare" } ], "status" : 200, "message" : "OK", "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 94735, "totalPages" : 1895, "hasNext" : true, "hasPrevious" : false } }

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