Diverse Lynx · 23 hours ago
AI Subject Matter Expert (SME)
United States
Full-time
Remote
Senior Level
$100/hr - $120/hr
5+ years expDiverse Lynx is looking for Independent Contractors to serve as AI Subject Matter Experts across various sectors including Retail, Marketing, Insurance, and Finance. The role involves collaborating with AI/ML engineers, validating datasets, and providing domain expertise to ensure AI models are accurate and effective in their respective fields.
Information Technology & Services
Hiring Manager
Atul Dahima
Responsibilities
Serve as the retail domain expert during the training and fine-tuning of AI models, ensuring contextual accuracy and industry relevance
Develop knowledge bases, taxonomies, and ontologies that reflect retail industry standards and best practices
Annotate, label, and validate datasets with domain-specific knowledge (product categories, inventory terms, pricing, promotions, etc.)
Collaborate with AI/ML engineers to design training data strategies, evaluation metrics, and prompt engineering techniques tailored to retail applications
Provide expert feedback on model outputs, identifying errors, ambiguities, and opportunities to improve model reasoning and performance
Partner with product and analytics teams to align AI capabilities with business objectives such as improving sales, forecasting demand, or enhancing customer engagement
Stay current with emerging trends in retail technology and AI, bringing innovative ideas for practical implementation
Provide domain expertise during model training, ensuring AI systems understand marketing terminology, logic, and workflows
Label, curate, and validate datasets containing marketing materials (ad copy, campaign briefs, KPIs, customer segments, etc.)
Design realistic scenarios and data prompts representing different marketing contexts (e.g., brand launches, A/B testing, multichannel campaigns)
Translate end-to-end marketing workflows (e.g., campaign planning → execution → measurement → optimization) into structured training data for AI learning
Identify decision points, metrics, and dependencies in marketing operations that AI systems must recognize
Collaborate with ML engineers to represent these workflows in AI-friendly formats (taxonomies, knowledge graphs, or structured datasets)
Review AI-generated outputs for marketing relevance, creativity, tone, and compliance
Provide structured feedback and improvement strategies to improve model understanding and response quality
Develop and refine evaluation criteria (e.g., campaign effectiveness, audience relevance, brand consistency)
Partner with product teams to define AI-driven marketing use cases (campaign recommendations, content personalization, audience segmentation, performance prediction)
Bring a creative problem-solving mindset to identify opportunities where AI can improve marketing efficiency and decision-making
Stay current with evolving marketing technologies, data platforms, and generative AI tools to inform model enhancement
Collaborate with AI, data science, and product teams to evaluate AI models used in underwriting, claims processing, risk assessment, and pricing
Identify gaps, biases, and limitations in existing models and contribute domain insights for improvement
Validate AI outputs against real-world insurance practices, regulatory requirements, and customer experience standards
Define key metrics and success criteria to measure model performance and business relevance
Support data labeling and annotation by providing insurance-specific context and expertise
Assist in designing explainable AI frameworks to enhance model transparency and trustworthiness
Stay current with insurance regulations, compliance standards, and emerging AI applications in the sector
Collaborate with our AI and engineering teams to define the most common research-based workflows within your specific domain (e.g., M&A deal analysis in Investment Banking, company valuation in Equity Research, portfolio construction in Asset Management)
Qualification
Required
Bachelor's or Master's degree in Business, Retail Management, Supply Chain, Data Analytics, or related field
5–10 years of experience in the retail sector (e.g., merchandising, operations, category management, supply chain, or e-commerce, including online retailers, marketplaces, or D2C companies)
Experience with performance & campaign analytics, inventory forecasting & replenishment, product content & merchandising optimization, brand and product creation
Proven ability to translate business processes into structured data requirements
Strong analytical and communication skills, with the ability to articulate complex retail concepts for technical and non-technical teams
Bachelor's or Master's degree in Marketing, Business, Communications, or related field
7–12 years of hands-on experience in marketing, with exposure to: Campaign strategy and execution (digital, social, performance, and/or brand marketing), Marketing automation tools (HubSpot, Salesforce Marketing Cloud, Marketo, etc.), Analytics and measurement workflows (Google Analytics, Looker, Power BI, etc.), Customer segmentation, journey mapping, and content strategy, Media planning, A/B testing, and ROI optimization
Experience managing or contributing to several of the following workflows: Campaign Lifecycle Management, Performance Marketing, CRM & Marketing Automation, Content Strategy & Social Media, Data-Driven Marketing, Brand & Communication
Bachelor's or Master's degree in Insurance, Risk Management, Actuarial Science, Business, or a related field
7+ years of experience in the insurance industry (underwriting, claims, risk modeling, quoting, binding, policy renewal & retention)
Client consultation, needs Analysis or product management experience
Experience across a variety of backgrounds, including at leading multiline carriers, global reinsurers, top brokerage/advisory firms and tech-driven insurtechs
Strong understanding of insurance operations, policy structures, and regulatory frameworks
Experience collaborating with cross functional teams
Bachelor's or Master's degree in Marketing, Business, Communications, or related field
12+ years of practical, professional experience in one of the following fields: Investment Banking: Experience with M&A, capital markets, or corporate finance, Private Equity: Experience with deal sourcing, due diligence, and portfolio management, Asset Management: Experience with portfolio management, investment strategy, or quantitative analysis, Equity Research: Experience with company analysis, financial modeling, and report writing
Company
Diverse Lynx
Diverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions.
1001-5000 employees
H1B Sponsorship
Diverse Lynx has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2024 (1)
2021 (1)
Funding
Current Stage
Late StageLeadership Team
Sujata Varma
CEO
Recent News
Company data provided by crunchbase