Title: Applied AI Associate Location: Remote - West Virginia Job Description: Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data and Artificial Intelligence (AI) are inextricably linked. Our mission is to enable the responsible advancement of artificial intelligence by providing the data, evaluation frameworks, and human expertise required to build AI systems that can be trusted at scale. We provide a range of transferable solutions, platforms, and services for Generative AI / AI builders and adopters. In every relationship, we honor our 36+ year legacy delivering the highest quality data and outstanding outcomes for our customers. Scope of the Role: At Innodata, we’re partnering with the world’s leading technology companies to build the future of generative AI and large language models (LLMs). We’re on the lookout for smart, savvy, and curious Generative AI Specialist to join our global contributor community as part of our Subject Matter Expert (SME) on Demand program. This is not a traditional full-time role. It’s a part-time, remote, flexible, project-specific opportunity designed for those who want to make a real impact—on their schedule. Whether you're a writer, linguist, educator, researcher, or just deeply passionate about language and logic, this role lets you contribute to cutting-edge AI development while maintaining control over your time. You’ll be helping LLMs learn the intricacies of language and reasoning—not just how to write, but how to think. If you’ve ever dreamed of shaping the intelligence behind tomorrow’s technology, this is your chance. This is more than just a gig—it’s a rare chance to help shape the future of AI from anywhere in the world, on your own terms. What You’ll Own: - Rating/assessing the performance of AI models or algorithms based on their output or behavior through a set of evaluative questions. - Labeling elements of a piece of content rather than the content as a whole. - Assigning predefined categories or labels to items. - Evaluating the perceived quality and/or appropriateness of content - Generating labels to advance understanding of a concept, trend etc. - Creation of additional training data for machine learning models by applying transformations to the original data, such as modifying images (rotation, flipping, cropping), generating new text (paraphrasing, summarization), or altering audio/video signals (speed modification, pitch shifting) to reduce overfitting and increase dataset diversity. - Reviewing data and identifying whether or not a product feature works as intended based on the project's guidelines. - Labeling model outputs to identify if a piece of content is or isn't something. Examples: identify clickbait; identifying gaming videos; identifying branded content. - Ordering or ranking items based on a set of preferences or criteria. - Creating prompts or questions that will be used to generate responses from a language model or other AI system. - Projects that evaluate the relevance of content based on a relevancy scale (1-3, 1-5, etc.). - Generating responses to prompts or questions using a language model or other AI system. - Rewriting existing text while preserving the original meaning, often to improve clarity or style and adherence to guidelines. - Producing concise summaries of longer pieces of text or data. - Converting spoken language or audio content into written text. - Converting text or spoken language from one language to another. - Gathering and compiling various forms of data to be used for training, evaluating, or fine-tuning the AI models. This may include text, images, videos, audio files, or other types of digital content. You’ll Thrive in This Role If You Have: - A Bachelor’s degree or higher in a humanities specialization is required. Advanced degrees are strongly preferred (Master’s or PhD) - Professional or Expert level proficiency (C1/C2) in English The expected hourly salary range for this position is $15 p/hour, based on experience, skills, and qualifications. Please be aware of recruitment scams involving individuals or organizations falsely claiming to represent employers. Innodata will never ask for payment, banking details, or sensitive personal information during the application process.

Role Description The Learning Designer, Technical/AI, is a full-time, India-based role responsible for the design and development of Coursera-produced content and for supporting Coursera’s APAC partners. This role focuses on learning design, prototyping, experimenting, and ensuring high-quality vendor production through clear standards and constructive review, primarily in the domains of AI/ML, Computer Science, Data Science, and related areas. You will play a key role in designing, prototyping, producing, and measuring the impact of innovative, scalable learning experiences. - Partner with subject-matter experts (SMEs), APAC partners, and production vendors to develop asynchronous, skill-aligned, online learning content. - Produce vendor-ready design deliverables. - Collaborate with cross-functional internal teams, including Teaching & Learning, Learning Analytics, Content Production Management, and Content Maintenance & Optimization. Qualifications - Bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, Software Engineering, or a related technical domain. - 3–5 years of combined experience in technical domains (e.g., Computer Science, Software Engineering, AI/ML) and/or designing, teaching, developing, or supporting technical learning experiences, curricula, or educational products. - Experience as a technical instructor, curriculum developer, subject matter expert, bootcamp educator, learning designer, or similar role supporting adult learners in higher education, professional education, or workforce development. - Demonstrated hands-on technical proficiency, including building, prototyping, or implementing software applications, AI solutions, agentic workflows, or other technology-enabled products. - Demonstrated experience leveraging GenAI technologies to solve real-world problems, improve workflows, develop educational experiences, or build AI-assisted tools and solutions. Requirements - Lead learning design for scaled Coursera-produced learning experiences (short- and long-form) with emphasis on modular, skill-aligned design and robust assessment design. - Partner with subject matter experts (including technical SMEs) to translate expertise into vendor-ready design deliverables, including learning outcomes, program architectures, outlines, storyboards, sequenced learning journeys, and assessment specifications. - Build replicable design systems, templates, and acceptance criteria to accelerate consistent production across vendors. - Collaborate on repackaging efforts: recombine modules and learning assets into new long-form offerings or program structures that align to skill outcomes. - Adhere to design standards; provide detailed, actionable feedback and Quality Assurance checks to production vendors and Coursera partners. - Contribute to pedagogical innovation, AI-assisted design tooling, prompts, templates, agentic workflows, and technology-enabled content development processes that improve quality, scalability, and operational efficiency. Preferred Qualifications - Master’s degree in Computer Science, Engineering, Data Science, Artificial Intelligence, or a related field. - Demonstrated experience with modular, skill-aligned course design and assessment design. - Experience working with SMEs and external production vendors to translate designs into production deliverables. - Familiarity with authoring and design tools such as Figma, Articulate Storyline, or similar. - Familiarity with learning analytics, data-driven optimization practices, and analytics tools (e.g., Looker, Tableau); comfort with experimental design, SQL, and the Coursera platform is a plus. - Experience communicating with external partners (e.g., clients, universities, or enterprise stakeholders) to gather requirements, set expectations, and influence design decisions. Benefits

Role Description This position is fully remote, allowing you to enjoy the flexibility of working from home while collaborating with skilled team members and contributing to groundbreaking solutions. The HR Advisor is primarily responsible for building, nurturing and sustaining strong partnerships with supervisors and leadership as well as managing the human resources functions for the location. The HR Advisor leverages HR expertise, knowledge and experiences to provide sound judgement, guidance and thought partnership to support and drive innovative solutions that will enable the business to achieve their goals. In partnership with the HRBP, this role contributes to the development and execution of project plans as well as the delivery of HR services that support HR strategies and business objectives, including but not limited to: - Talent planning - Associate development - Performance management - Workforce planning - Communications - Diversity initiatives While supporting some client groups, this role may have responsibility for supervision of the HR Coordinator. What You Will Do - Promotes the value of the HR function and focuses on delivering business outcomes by building collaborative relationships across the organization. - Works closely with Leadership to align HR strategy with business plans and help implement within the specific location. - Develops plans to ensure the right talent is being selected to meet the business needs. - May develop and implement a localized recruiting strategy in partnership with Talent Acquisition team. - Serves as one of the primary decision makers along with the operations supervisors in the recruiting, selection, and hiring of hourly associates per department. - Tracks metrics related to staffing strategies, recruitment, interviewing, selection and onboarding processes. - Provides consultation and intervenes as necessary to redirect efforts to ensure alignment to HR strategy, policies and procedures. - Provides initial recommendations to managers on improvements to HR programs and processes based on organization surveys and data. - Supports the administration of and adherence to HR activities including recruiting/hiring, performance management, engagement survey, benefits enrollment, training, and relevant policies and procedures. - Pursues professional growth and provides developmental opportunities for others by soliciting and acting on performance feedback. - Builds collaborative, cross-functional relationships; hiring, training, and developing talent for growth opportunities. - Fosters open dialogue amongst associates; works closely with associates to set goals and provide open feedback and coaching to drive performance improvement. - May delegate tasks and decisions in situations where they are supervising the role of the HR Coordinator. - Collaborates with leadership, HRBPs, and HR COEs as necessary to address performance issues and performance trends of associates in locations. - Diagnoses potential issues at the individual and associate levels. - Recommends and executes solutions to address issues and ensures performance and developmental gaps are addressed. - Partners with supervisors in the planning process to drive business results, optimize customer service and align with company values. - Contributes to the development of people strategies that support business strategies and objectives. - Executes delegated work stream to meet customer and business needs by translating business plans into tactical action items. - Communicates goals and objectives; oversees work assignments; aligns team efforts; builds accountability for and measures progress in achieving results. - Identifies and addresses improvement opportunities; assumes responsibility for decision making. - Supervises and directs the work of the HR Coordinator when applicable. - Manages HR related controllable expenses for the facility and ensures financial records are accurate and current. - Works with site leadership to support worker compensation claims and recordkeeping. - Drives associate engagement by supporting the Lowe’s engagement survey process and encouraging associate participation. - Assists as needed in the new associate onboarding. Qualifications - High school diploma or GED or equivalent years of experience in lieu of education requirement, if applicable - 4 Years Experience in a Human Resources function - 4 Years Experience administering confidential staff information such as personnel files and employment compliance data - 3 Years Experience working in a cross-functional team environment with exempt and non-exempt staff Requirements - Bachelor’s degree in Business, Human Resources or related field (preferred) - 2 Years Leadership experience with or without direct report responsibility (preferred) - Experience in a supply chain, contact center or retail environment (preferred) Benefits - Pay Range: $74,600.00 - $124,500.00 annually - Starting rate of pay may vary based on factors including, but not limited to, position offered, location, education, training, and/or experience.

Role Description We're looking for a Senior AI Engineer to build the internal tools, prototypes, and business workflows that put AI into the hands of every team at Whatnot—and to set the patterns the rest of the company builds on. You'll own ambiguous, cross-org bets end-to-end: - Finding real problems, shipping working software fast, hardening what works, and scaling how Whatnot gets value out of AI. - This is a high-velocity, high-judgment builder role. - You will decide where the leverage is, define reusable patterns and infrastructure, and raise the bar for how the whole org builds with AI. - You move fluidly across the stack (frontend, backend, data, and the AI layer) and are deeply fluent in the current generation of AI tools. This is not a model-training or research role. You won't be training models—you'll be building the tools, workflows, and integrations that make off-the-shelf AI dependable and useful inside Whatnot's systems and processes. Qualifications - A prolific builder with senior judgment. - Deep applied-AI fluency with extensive hands-on experience building with the current generation of LLM products (Anthropic, OpenAI, Google). - Systems-integration chops—experience connecting AI to real data and tools through APIs, webhooks, and connectors. - A pattern-setter and force multiplier. - A strong communicator who can translate problems into software. - Low ego, high agency—ability to see inefficiency, build the fix, and bring people along. Requirements - Own ambiguous, cross-org AI bets end-to-end. - Build and ship a high volume of internal apps, prototypes, and automations. - Define reusable patterns and shared infrastructure. - Embed directly with teams across CX, Trust & Safety, ops, GTM, and EPD. - Wire AI into real business context. - Integrate AI tools with internal systems and data sources. - Scale the leverage—package successful builds into reusable skills and playbooks. - Stay ahead of the AI landscape. Benefits - Flexible Time off Policy and Company-wide Holidays (including a spring and winter break). - Health Insurance options including Medical, Dental, Vision. - Work From Home Support. - Home office setup allowance. - Monthly allowance for cell phone and internet. - Care benefits. - Monthly allowance for wellness. - Annual allowance towards Childcare. - Lifetime benefit for family planning, such as adoption or fertility expenses. - Retirement; 401k offering for Traditional and Roth accounts in the US (employer match up to 4% of base salary) and Pension plans internationally. - Monthly allowance to dogfood the app. - Parental Leave: 16 weeks of paid parental leave + one month gradual return to work. Company Description Whatnot is the largest livestream shopping platform in North America and Europe to buy, sell, and discover the things you love. We're one of the fastest growing marketplaces and were recently named the #1 Best Startup Employer in America by Forbes.