Role Description We are seeking highly qualified Academic Subject Matter Experts (SMEs) to support the development and evaluation of next-generation Artificial Intelligence (AI) systems. Academic Subject Matter Experts will use their academic expertise to create challenging, academically rigorous question-and-answer (Q&A) pairs designed to evaluate advanced AI reasoning capabilities. Questions should require advanced subject-matter reasoning and be supported by authoritative academic and/or primary sources. Depending on project requirements, contributors may also be asked to review and refine AI-generated responses. The work demands deep subject-matter knowledge, rigorous analytical thinking, and the ability to interpret and work confidently with complex academic materials, often in their original language(s). Role Responsibilities - Create original, academically rigorous Q&A pairs in your area of expertise, that require advanced reasoning, are supported by authoritative academic sources, and are designed to challenge current AI models. - Design questions that demand advanced reasoning, synthesis, and specialized domain knowledge rather than easily retrievable facts. - Evaluate and critique AI-generated responses against defined criteria, and revise or rewrite them to a higher standard where required. - Reference primary and secondary academic sources (literature, historical texts, films, manuscripts, scholarly publications, and other discipline-specific material) to ground and verify your work. - Ensure factual accuracy, internal consistency, source traceability, and adherence to project guidelines. - Refine content in response to quality-assurance feedback. - Participate in qualification and calibration exercises prior to project assignment. Qualifications - Master's degree or PhD in the relevant academic discipline (French Literature). - Familiarity with generative AI technologies and AI evaluation methodologies. - Demonstrated expertise through academic study, research, teaching, or publication. - Excellent analytical, critical-thinking, and research skills. - Ability to communicate and justify complex academic judgments clearly and precisely in writing. - Strong attention to detail and an uncompromising commitment to accuracy. Requirements - Idiomatic fluency in French with the confidence to work directly with original-language academic materials. - Professional-level written English, if required for project deliverables (with primary sources cited in their original language). - Additional language combinations may be required depending on project needs. Preferred Qualifications - Previous work in AI data creation, annotation, evaluation, or Large Language Model (LLM) projects strongly preferred. - University teaching or research experience. - Experience creating educational, assessment, or knowledge-based content.

Role Description We are seeking highly qualified Academic Subject Matter Experts (SMEs) to support the development and evaluation of next-generation Artificial Intelligence (AI) systems. Academic Subject Matter Experts will use their academic expertise to create challenging, academically rigorous question-and-answer (Q&A) pairs designed to evaluate advanced AI reasoning capabilities. Questions should require advanced subject-matter reasoning and be supported by authoritative academic and/or primary sources. Depending on project requirements, contributors may also be asked to review and refine AI-generated responses. The work demands deep subject-matter knowledge, rigorous analytical thinking, and the ability to interpret and work confidently with complex academic materials, often in their original language(s). Role Responsibilities - Create original, academically rigorous Q&A pairs in your area of expertise, that require advanced reasoning, are supported by authoritative academic sources, and are designed to challenge current AI models. - Design questions that demand advanced reasoning, synthesis, and specialized domain knowledge rather than easily retrievable facts. - Evaluate and critique AI-generated responses against defined criteria, and revise or rewrite them to a higher standard where required. - Reference primary and secondary academic sources (literature, historical texts, films, manuscripts, scholarly publications, and other discipline-specific material) to ground and verify your work. - Ensure factual accuracy, internal consistency, source traceability, and adherence to project guidelines. - Refine content in response to quality-assurance feedback. - Participate in qualification and calibration exercises prior to project assignment. Qualifications - Master's degree or PhD in the relevant academic discipline (Francophone studies). - Familiarity with generative AI technologies and AI evaluation methodologies. - Demonstrated expertise through academic study, research, teaching, or publication. - Excellent analytical, critical-thinking, and research skills. - Ability to communicate and justify complex academic judgments clearly and precisely in writing. - Strong attention to detail and an uncompromising commitment to accuracy. Language Requirements - Idiomatic fluency in French with the confidence to work directly with original-language academic materials. - Professional-level written English, if required for project deliverables (with primary sources cited in their original language). - Additional language combinations may be required depending on project needs. Preferred Qualifications - Previous work in AI data creation, annotation, evaluation, or Large Language Model (LLM) projects strongly preferred. - University teaching or research experience. - Experience creating educational, assessment, or knowledge-based content.

Role Description The Boomi DataHub & Integration Lead is responsible for leading the design and implementation of enterprise master data and integration solutions using the Boomi Platform, with a primary focus on Boomi DataHub. This role owns the end-to-end solution architecture for master data domains, including: - Data modeling - Matching and survivorship strategies - Integration patterns This position involves partnering closely with business and technical stakeholders to deliver scalable, governed data solutions. Qualifications - 7+ years of overall integration and data management experience - 3+ years of hands-on experience with the Boomi Platform, including DataHub - Deep hands-on experience with Boomi DataHub (MDM concepts, configuration, and deployment) - Strong understanding of master data modeling (Customer, Account, Vendor, Product, etc.) - Experience designing and configuring matching, survivorship, and deduplication rules - Proven expertise with Boomi Integrations (process builds, connectors, APIs, error handling) - Ability to lead solution design and translate business requirements into platform configurations - Strong knowledge of data governance principles, data quality, and stewardship workflows - Experience integrating Boomi with systems such as Salesforce, ERP platforms, data warehouses, and APIs - Excellent communication skills with the ability to lead technical discussions and guide junior resources - Ability to demo / present Boomi Platform in pre-sales Requirements - Experience with Boomi API Management and event-driven or real-time integration patterns - Familiarity with Salesforce (Sales Cloud, Service Cloud, Education Cloud, FSC, or Data Cloud) - Experience supporting mergers & acquisitions through master data consolidation - Exposure to other iPaaS/MDM platforms - Knowledge of data governance tooling, metadata management, or data catalogs - Experience working in consulting or client-facing delivery environments Certifications - Boomi Professional Developer Certification (required or in progress) - Boomi DataHub Certification (required / strongly preferred) - Additional Boomi certifications (API Management, Integration Architect) are a plus Additional Requirements - Demonstrated ability to build trusted advisor relationships with clients - Experience supporting sales and business development - Position requires flexibility to travel periodically based on business and client needs Benefits - Competitive health, dental, and vision coverage - HSA and FSA accounts - Life and disability insurance - Fertility and family planning benefits - Employee assistance and discount programs - 11 paid federal holidays and flexible unlimited time off (UTO) - Generous 401(k) matching with immediate vesting - Flexible career paths – our career tracks provide advancement, mobility, and flexibility as you continue to grow with us - A healthy environment where we value unique experiences, and care about everything that makes you, you Salary Range $150,000 - $180,000 USD Equal Opportunity Statement Attain Partners is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.

Role Description We are seeking highly qualified Academic Subject Matter Experts (SMEs) to support the development and evaluation of next-generation Artificial Intelligence (AI) systems. Academic Subject Matter Experts will use their academic expertise to create challenging, academically rigorous question-and-answer (Q&A) pairs designed to evaluate advanced AI reasoning capabilities. Questions should require advanced subject-matter reasoning and be supported by authoritative academic and/or primary sources. Depending on project requirements, contributors may also be asked to review and refine AI-generated responses. The work demands deep subject-matter knowledge, rigorous analytical thinking, and the ability to interpret and work confidently with complex academic materials, often in their original language(s). Role Responsibilities - Create original, academically rigorous Q&A pairs in your area of expertise, that require advanced reasoning, are supported by authoritative academic sources, and are designed to challenge current AI models. - Design questions that demand advanced reasoning, synthesis, and specialized domain knowledge rather than easily retrievable facts. - Evaluate and critique AI-generated responses against defined criteria, and revise or rewrite them to a higher standard where required. - Reference primary and secondary academic sources (literature, historical texts, films, manuscripts, scholarly publications, and other discipline-specific material) to ground and verify your work. - Ensure factual accuracy, internal consistency, source traceability, and adherence to project guidelines. - Refine content in response to quality-assurance feedback. - Participate in qualification and calibration exercises prior to project assignment. Qualifications - Master's degree or PhD in the relevant academic discipline (German Literature). - Familiarity with generative AI technologies and AI evaluation methodologies. - Demonstrated expertise through academic study, research, teaching, or publication. - Excellent analytical, critical-thinking, and research skills. - Ability to communicate and justify complex academic judgments clearly and precisely in writing. - Strong attention to detail and an uncompromising commitment to accuracy. Language Requirements - Idiomatic fluency in German with the confidence to work directly with original-language academic materials. - Professional-level written English, if required for project deliverables (with primary sources cited in their original language). - Additional language combinations may be required depending on project needs. Preferred Qualifications - Previous work in AI data creation, annotation, evaluation, or Large Language Model (LLM) projects strongly preferred. - University teaching or research experience. - Experience creating educational, assessment, or knowledge-based content.