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ai content specialist

YO IT Consulting

<div>
 
 Shape How AI Sees The World
 
 
 
 We're looking for sharp writers and social media natives to join a cutting-edge AI training project. You'll analyze visual content and craft written descriptions that teach AI models to truly
 
 understand
 
 what they're looking at&hellip; not just see pixels, but grasp context, tone, and meaning. If you've ever crafted the perfect article, decoded a meme before it went viral, or developed marketing that actually connects,
 
 this role was made for you.
 
 
 
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Analyze images and write clear, detailed descriptions
 </li>
 <li>
 Identify key elements, context, and cultural references in visual content
 </li>
 <li>
 Evaluate content quality against established guidelines
 </li>
 <li>
 Apply consistent judgment across a variety of image types
 
 
 </li>
 </ul>
 
 You're a Great Fit If You
 
 
 
 <ul>
 <li>
 Write with clarity and voice - You can describe complex visuals in a way that's informative and readable
 </li>
 <li>
 Get internet culture - Memes, trends, visual storytelling on social platforms? Second nature.
 </li>
 <li>
 You notice what others miss - Small details, subtle context, the difference between what's shown and what's meant
 </li>
 <li>
 You're precise but not robotic - Engaging and accurate, not stiff or formulaic
 </li>
 <li>
 You can follow detailed guidelines - And apply them consistently across many tasks
 
 
 </li>
 </ul>
 
 Ideal Background
 
 
 
 <ul>
 <li>
 Proven writing experience
 </li>
 <ul>
 <li>
 Social media management or content creation
 </li>
 <li>
 Journalism, literature, communications, or media studies
 </li>
 <li>
 Experience with annotation, transcription, or QA work (a plus, not required)
 
 </li>
 </ul>
 </ul>
 
 Compensation &amp; Details
 
 
 
 <ul>
 <li>
 $30-$40/hour based on experience and quality
 </li>
 <li>
 Paid onboarding provided
 </li>
 <li>
 Opportunity for ongoing work based on performance
 
 
 </li>
 </ul>
 
 
 Join a team making AI smarter, more accurate, and more culturally aware&hellip; one post at a time!
 
 
 
 
 We consider all qualified applicants without regard to legally protected characteristics and provide reasonable accommodations upon request.
 
 
 Contract and Payment Terms
 
 
 <ul>
 <li>
 You will be engaged as an independent contractor.
 </li>
 <li>
 This is a fully remote role that can be completed on your own schedule.
 </li>
 <li>
 Projects can be extended, shortened, or concluded early depending on needs and performance.
 </li>
 <li>
 Payments are weekly on Stripe or Wise based on services rendered.
 </li>
 </ul>
</div>

AI Content Specialist

Taboola

<div>
 
 Realize your potential by joining the leading performance-driven advertising company and a proud Great Place to Work&reg; Certified employer!
 
 
 
 Note internally this role will be called Content Success Specialist.
 
 
 We are seeking a proactive, analytical, and detail-oriented Content Success Specialist to join our Global Content Review Team. This role is a critical partner to our advertisers and their Account Managers, sitting at the intersection of policy, performance, and creative strategy.
 
 
 In this role, you won't just react to problems&mdash;you'll prevent them. You will deeply understand a portfolio of advertiser accounts, continuously monitor their content performance data, and provide strategic, actionable guidance to improve creative approval rates and overall campaign health. You will be the subject-matter expert on content compliance, helping advertisers clients and our internal Account Managers navigate policies to achieve their business goals without friction.
 
 
 
 To Thrive In This Role, You&rsquo;ll Need
 
 
 
 <ul>
 <li>
 1+ years of experience in a client-facing role (e.g., Account Management, Client Success, Ad Operations) with direct client communication.
 </li>
 <li>
 Strong understanding of content moderation and platform policies.
 </li>
 <li>
 Ability to interpret performance data and use it to drive decisions.
 </li>
 <li>
 Proficiency in using BI tools, spreadsheets, and internal reporting tools.
 </li>
 <li>
 A proactive, results-oriented attitude with a hands-on approach to work.
 </li>
 <li>
 Excellent communication skills.
 </li>
 <li>
 Ability to work with global teams/ a remote supervisor.
 
 
 </li>
 </ul>
 
 Bonus Points If You Have
 
 
 
 <ul>
 <li>
 Experience in ad tech, creative optimization, or content compliance
 
 
 </li>
 </ul>
 
 How You&rsquo;ll Make An Impact
 
 
 
 <ul>
 <li>
 Provide actionable, data-driven recommendations to improve creative approval and performance for a dedicated portfolio of key advertiser accounts.
 </li>
 <li>
 Monitor dashboards daily to proactively identify risks and performance, surfacing issues before they escalate and uncover opportunities for creative optimization.
 </li>
 <li>
 Analyze content performance data to identify performance trends and suggest refresh strategies that align with platform policies and business goals.
 </li>
 <li>
 Serve as the subject-matter expert linking Policy and Account Management teams, interpreting compliance guidelines to support advertiser success.
 </li>
 <li>
 Track key metrics (e.g., compliance, approvals, creative health) and maintain dashboards or reports to inform recommendations.
 </li>
 <li>
 Contribute insights for Quarterly Business Reviews (QBRs) and strategic meetings by maintaining a deep understanding of assigned accounts and their content performance.
 
 
 </li>
 </ul>
 
 Why Taboola?
 
 
 
 
 About
 
 
 
 If you ask Taboolars what they love about working here, they&rsquo;ll tell you that they&rsquo;ve been empowered to realise their full potential while growing and learning from and with smart and talented people. They&rsquo;ll also share more about:
 
 
 <ul>
 <li>
 Adam Singolda, Taboola Founder and CEO says; &ldquo;You can copy anything from another business but you can&rsquo;t copy a company&rsquo;s culture.
 </li>
 <li>
 Well-being: Enjoy comprehensive benefits (health, dental, vision, 401k matching), a fully stocked kitchen, parking, and various gym partnerships.
 </li>
 <li>
 Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
 </li>
 <li>
 Work with some of the biggest names: We work with some of the biggest names in the business. Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Pinterest, Expedia and Honda.
 
 
 </li>
 </ul>
 
 Ready to realize your potential?
 
 
 
 Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.
 
 
 Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, &amp; the Taboola Life Blog.
 
 
 
 About Taboola
 
 
 
 Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.
 
 
 Taboola works with thousands of businesses who advertise directly on Realize, Taboola&rsquo;s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola&rsquo;s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.
 
 
</div>

Content Moderation Specialist

The Home Depot

<div><div>Position Purpose:
As a Manager, AI Platform Engineering, you will lead the development and evolution of our enterprise Generative AI platform, enabling scalable, secure, and high-impact AI capabilities across the organization. This role combines technical delivery leadership with strategic thinking, overseeing a team of engineers to build and operate GenAI platform services, agentic workflows, and multi-model orchestration.
You will partner with product, data, legal, cybersecurity, and business stakeholders to translate AI use case needs into scalable, reusable platform capabilities that drive enterprise-wide adoption and efficiency. You will ensure alignment with security, privacy, and governance standards while enabling successful delivery and commercialization at scale. In addition, you will collaborate with strategic vendors and internal platform teams to accelerate innovation and support a growing portfolio of AI solutions.
This role is critical to scaling AI adoption across the enterprise, balancing rapid innovation with operational excellence and responsible AI practices. 
Key Responsibilities:<ul><li>
30% Delivery &amp; Execution:</li><li>
Collaborates and pairs with product team members (UX, engineering, and product management) to create secure, reliable, scalable software solutions</li><li>
Documents, reviews and ensures that all quality and change control standards are met</li><li>
Writes custom code or scripts to automate infrastructure, monitoring services, and test cases</li><li>
Works with vendors and partners for the successful implementation of critical tooling and platforms</li><li>
Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
Contributes to enterprise-wide tools to drive destructive testing, automation, and engineering empowerment</li><li>
Evaluates new technologies for adoption across the enterprise</li><li>
Participates in and leads review board sessions to drive consistency across the enterprise</li><li>
Fills in on product teams for engineers who are out of the office</li><li>
10% Support &amp; Enablement:</li><li>
Fields questions from engineers, product teams, or support teams</li><li>
Monitors tools and participates in conversations to encourage collaboration across product teams</li><li>
Provides application support for software running in production</li><li>
Acts as a technical escalation point for the engineers on the team</li><li>
50% People:</li><li>
Provides leadership, mentoring, and coaching to Software Engineers</li><li>
Attracts, retains, and develops top talent to build a world class Software Engineering Team</li><li>
Conducts annual and mid-year reviews by reviewing individual development plans and team feedback</li><li>
Fosters collaboration with team members to drive consistency across product teams, and finds opportunities to expose engineers to career interests</li><li>
Acts as a proponent of modern software development practices</li><li>
Guides team members in strategy, alignment, analysis, and execution tasks within and across product teams</li><li>
Participates in and contributes to learning activities around modern software design and development core practices (communities of practice)</li><li>
10% Learning:</li><li>
Learns, through reading, tutorials, and videos, new technologies and best practices being used within other technology organizations</li><li>
Builds relationships with technology leaders at other companies to learn best practices and elegant solutions to common problems</li></ul> 
Direct Manager/Direct Reports:<ul><li>
Typically reports to the Software Engineer Sr. Manager, Technology Director or Sr. Director.</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li><li>
Mastery of an object oriented programming language (preferably Java)</li><li>
Must be legally permitted to work in the United States</li></ul> 
Preferred Qualifications:<ul><li>
8+ years of related work experience in software engineering, with at least 2 years focused on AI/ GenAI projects for large enterprises.</li><li>
Experience with modern software delivery practices, including CI/CD pipelines, containerization, and orchestration technologies (e.g., Docker, Kubernetes), with a strong understanding of deploying and operating scalable, production-grade systems.</li><li>
Experience designing or building AI agents and agent-based workflows, including orchestration of LLMs, tools, and external systems in production environments.</li><li>
Strong understanding of AI, machine learning, and software engineering concepts, demonstrated through recent certifications or project experience</li><li>
Proven track record of managing complex technical projects and leading junior engineering teams</li><li>
Deep experience with ad tech, streaming media platforms, and digital content delivery</li><li>
Familiarity with agile methodologies and project management tools (e.g., Jira, Trello, Monday)</li><li>
Experience with cloud platforms (e.g. Azure, GCP) for scalable AI system deployment</li><li>
Excellent problem-solving and analytical skills</li><li>
Strong communication skills with ability to explain AI and software engineering concepts to both technical and non-technical audiences</li><li>
Knowledge of privacy and security considerations in AI applications</li><li>
Understanding of AI ethics and responsible AI practices</li><li>
Strong leadership and mentoring abilities</li><li>
Excellent interpersonal and team collaboration skills</li><li>
Ability to think strategically about AI applications and their business impact</li><li>
Proactive and self-motivated with a passion for emerging AI technologies and software engineering practices</li><li>
Adaptable and able to thrive in a fast-paced, rapidly evolving AI and software development landscape.</li><li>
Bachelor's degree in Computer Science, Software Engineering, or related field.</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
5</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Attracts Top Talent: Attracting and selecting the best talent to meet current and future business needs</li><li>
Balances Stakeholders: Anticipating and balancing the needs of multiple stakeholders</li><li>
Builds Effective Teams: Building strong-identity teams that apply their diverse skills and perspectives to achieve common goals</li><li>
Business Insight: Applying knowledge of business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Develops Talent: Developing people to meet both their career goals and the organization's goals</li><li>
Drives Engagement: Creating a climate where people are motivated to do their best to help the organization achieve its objectives</li><li>
Drives Vision and Purpose: Painting a compelling picture of the vision and strategy that motivates others to action</li><li>
Manages Ambiguity: Operating effectively, even when things are not certain or the way forward is not clear</li><li>
Organizational Savvy: Maneuvering comfortably through complex policy, process, and people-related organizational dynamics</li><li>
Situational Adaptability: Adapting approach and demeanor in real time to match the shifting demands of different situations</li></ul>
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.</div> 
Apply End Date: 05/12/2026</div>

Manager, AI Platform Engineering (Remote)

Franklin Fitch

<div>
 
 The AI Adoption Manager is responsible for leading the enterprise-wide adoption, implementation, and evolution of artificial intelligence capabilities across the organization. Acting as both a strategist and hands-on builder, this role translates AI potential into practical solutions that improve operational efficiency, unlock the value of organizational data, and embed AI into the daily workflows of teams across the business.
 
 
 
 
 
 This role owns the full lifecycle of AI enablement - from identifying high-impact opportunities and designing AI strategies to configuring tools, training teams, managing governance, and measuring business outcomes.
 
 
 
 
 
 
 Key Outcomes &amp; Responsibilities
 
 
 <ul>
 <li>
 Identify and prioritize high-impact AI use cases across the enterprise.
 </li>
 <li>
 Assess AI readiness, current initiatives, and data maturity.
 </li>
 <li>
 Develop and communicate an enterprise AI strategy aligned to business goals.
 </li>
 <li>
 Deliver quick-win pilots to demonstrate early value and build momentum.
 </li>
 <li>
 Lead staged rollout and configuration of enterprise AI tools.
 </li>
 <li>
 Build and deploy AI solutions (e.g., knowledge assistants, automation workflows).
 </li>
 <li>
 Partner with IT for secure integration and system optimization.
 </li>
 <li>
 Manage pilot programs, refine use cases, and scale successful initiatives.
 </li>
 <li>
 Design and deliver role-based AI training programs.
 </li>
 <li>
 Build internal AI champion networks and user communities.
 </li>
 <li>
 Execute change management strategies to ensure adoption and reduce resistance.
 </li>
 <li>
 Communicate AI value, purpose, and responsible usage across teams.
 </li>
 <li>
 Assess and improve enterprise data quality, accessibility, and integration.
 </li>
 <li>
 Collaborate with data teams to strengthen governance and hygiene.
 </li>
 <li>
 Ensure AI initiatives are based on trusted and compliant data sources.
 </li>
 <li>
 Implement AI governance, privacy, and ethical standards.
 </li>
 <li>
 Conduct audits of AI outputs, usage, and data to mitigate risk.
 </li>
 <li>
 Balance innovation with security, compliance, and brand safety.
 </li>
 <li>
 Track AI adoption, utilization, and business impact.
 </li>
 <li>
 Optimize AI tool allocation and ROI.
 </li>
 <li>
 Capture success stories and continuously improve AI capabilities.
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, IT, Data Science, or related field.
 </li>
 <li>
 Experience in enterprise software implementation, digital transformation, AI enablement, or product ownership.
 </li>
 <li>
 Hands-on experience configuring or implementing AI tools, chatbots, automation platforms, or SaaS solutions.
 </li>
 <li>
 Strong understanding of change management and technology adoption practices.
 </li>
 <li>
 Knowledge of data governance, privacy, and security considerations related to AI.
 </li>
 <li>
 Experience working with platforms such as Microsoft Copilot, Azure AI, OpenAI, or similar technologies.
 </li>
 <li>
 Familiarity with data integration, analytics platforms, or master data management practices.
 </li>
 <li>
 Certifications in AI governance, change management, or enterprise architecture.
 </li>
 </ul>
 
 
</div>

AI Adoption Manager

<div><div>Position Purpose:
The Sr Machine Learning Engineer is responsible for designing, building, integrating, optimizing, and maintaining AI-powered applications that leverage generative models and overall product lifecycle for a product that our users love. Generative AI Engineers are expected to collaborate closely with teammates as they develop and deliver user stories while supporting AI-powered products as they evolve. Generative AI Engineers may design and implement applications using large language models (LLMs) and other generative models to embed intelligent capabilities directly into software products. Activities may include prompt engineering, model integration, building Retrieval-Augmented Generation (RAG) pipelines, and developing scalable AI services. The role may interact with business stakeholders, infrastructure teams, and development teams to ensure business requirements are effectively addressed through generative AI solutions. The role may also support evaluation, performance optimization, testing, and monitoring of AI systems in production. Additional responsibilities may include working with domain data, improving prompts and AI workflows, and creating documentation or enablement materials for generative AI solutions. 
 
Sr Generative AI Engineers should be able to work independently with minimal guidance, while collaborating with cross-functional teams of varying skill levels to design, deploy, and maintain production AI applications. This role may review submitted code and prompt implementations, providing feedback and improvements based on engineering and responsible AI best practices. 
Key Responsibilities:<ul><li>
70% Delivery and Execution - Collaborates and pairs with other product team members (UX, engineering, and product management) to create secure, reliable, scalable machine learning solutions; Documents, reviews, and ensures that all quality and change control standards are met; Works with Product Team to ensure user stories that are developer-ready, easy to understand, and testable; Writes custom code or scripts to automate infrastructure, monitoring services, and test cases; Writes custom code or scripts to do &quot;destructive testing&quot; to ensure adequate resiliency in production; Configures commercial off the shelf solutions to align with evolving business needs; Creates meaningful dashboards, logging, alerting, and responses to ensure that issues are captured and addressed proactively</li><li>
10% Learning - Participates in learning activities around modern software design, machine learning, and development core practices (communities of practice); Proactively views articles, tutorials, and videos to learn about new technologies and best practices being used within other technology organizations</li><li>
20% Support and Enablement - Fields questions from other product teams or support teams; Monitors tools and participates in conversations to encourage collaboration across product teams; Provides application support for software running in production; Proactively monitors production Service Level Objectives for products; Proactively reviews the Performance and Capacity of all aspects of production: code, infrastructure, data, message processing, and prediction quality</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This Position typically reports to Software Engineer Manager or Sr. Software Engineer Manager</li><li>
This Position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel 5% to 20% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
3 - 5 years of relevant work experience 
Experience in Python and modern AI development frameworks 
Experience building Generative AI applications using large language models (LLMs) 
Experience with prompt engineering, prompt optimization, and prompt evaluation techniques 
Experience integrating AI models through APIs from platforms such as Google, OpenAI or Anthropic 
Experience with GenAI frameworks such as Google Agent Development Kit (ADK) 
Experience implementing Retrieval-Augmented Generation (RAG) pipelines using vector databases 
Experience working with vector databases such as google Vertex AI Search 
Experience with building conversational AI systems, or AI assistants 
Experience with responsible AI practices including bias mitigation and safety guardrails 
Experience working with graph databases, knowledge ingestion pipelines, and data mesh architectures to enable scalable, connected, and queryable AI knowledge systems. 
Experience implementing CI/CD pipelines, monitoring, and automated workflows for reliable AI model deployment and lifecycle management. 
Experience with monitoring, evaluation, and optimization of production AI systems 
Experience in Google Cloud Platform and AI/ML related components such as Vertex AI, BigQueryML, and Experience in effective data engineering practices and big data platforms such as BigQuery, Data Store, etc- Experience in a modern scripting language (preferably Python) 
Experience with GPU acceleration (i.e. CUDA and cuDNN) 
Experience in a front-end technology and framework such as Node.js, HTML, CCS, JavaScript, ReactJS, D3 
Experience in writing SQL queries against a relational database 
Familiarity with production systems design including High Availability, Disaster Recovery, Performance, Efficiency, and Security 
Familiarity with cloud computing platform and associated automation patterns and machine learning services they provide 
Familiarity with defensive coding practices and patterns for high Availability 
Familiarity with A/B testing and effective REST design for scalable web services architecture 
Familiarity with advanced machine learning techniques such as NLP, convolutional neural networks, autoencoders, and embeddings generation and utilization.</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a high school diploma and/or GED.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
2</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Global Perspective</li><li>
Manages Ambiguity</li><li>
Nimble Learning</li><li>
Self-Development</li><li>
Collaborates</li><li>
Cultivates Innovation</li><li>
Situational Adaptability</li><li>
Communicates Effectively</li><li>
Drives Results</li><li>
Interpersonal Savvy</li></ul>
Benefits offered include health care benefits, 401K, ESPP, paid time off, and success sharing bonus. For a full list of the various benefits The Home Depot offers, visit https://careers.homedepot.com/our-benefits.</div> 
Apply End Date: 05/11/2026</div>

Senior Machine Learning Engineer – Generative AI (Remote)

wideanchor

Job Overview We are seeking a dynamic and innovative AI Researcher to join our cutting-edge technology team. In this role, you will drive the development of advanced artificial intelligence solutions, harnessing the power of machine learning, natural language processing, and big data analytics. Your expertise will help shape the future of intelligent systems, enabling transformative applications across diverse industries. This position offers an exciting opportunity to work with state-of-the-art tools and frameworks, contribute to impactful research projects, and collaborate with a talented team dedicated to pushing the boundaries of AI technology.Responsibilities<ul><li>Design, develop, and optimize machine learning models using frameworks such as TensorFlow and other AI tools.</li><li>Conduct research on unsupervised learning techniques to uncover hidden patterns in large datasets.</li><li>Implement data pipelines using ETL processes and tools like Talend to prepare data for analysis and model training.</li><li>Develop scalable solutions leveraging cloud platforms such as AWS for model deployment and management.</li><li>Collaborate with cross-functional teams to integrate natural language processing capabilities into products and services.</li><li>Perform data mining and database design to support analytics initiatives and enhance data accessibility.</li><li>Utilize big data technologies like Hadoop, Spark, and SQL to analyze complex datasets and extract actionable insights.</li></ul>Requirements<ul><li>Proven experience in machine learning, AI, and natural language processing with a strong understanding of relevant frameworks such as TensorFlow or similar.</li><li>Proficiency in programming languages including Python, Java, C, VBA, Bash (Unix shell), and R for data analysis and model development.</li><li>Hands-on experience with cloud services like AWS for model training, deployment, and scaling AI solutions.</li><li>Solid knowledge of big data tools such as Hadoop, Spark, SQL databases, and ETL processes for managing large-scale datasets.</li><li>Familiarity with database design principles and linked data concepts to facilitate efficient data retrieval and integration.</li><li>Experience in data mining, analytics, and applying unsupervised learning techniques to real-world problems.</li><li>Ability to work with diverse machine learning frameworks and tools while maintaining a focus on model accuracy and performance.</li><li>Strong analytical skills complemented by expertise in SAS or Looker for advanced reporting and visualization tasks.</li><li>Knowledge of quantum engineering is a plus but not required; enthusiasm for emerging technologies is encouraged. Join us as an AI Researcher to innovate at the forefront of technology! Bring your passion for research, your technical prowess across multiple programming languages and platforms, and your desire to make a meaningful impact through artificial intelligence solutions that transform industries worldwide.</li></ul>Pay: From $55,609.76 per yearBenefits:<ul><li>Employee assistance program</li><li>Flexible schedule</li><li>Professional development assistance</li><li>Referral program</li><li>Tuition reimbursement</li></ul>Work Location: In person

AI Researcher

<div>Position Purpose:
The Data Scientist is responsible for supporting data science initiatives that drive business profitability, increased efficiencies, improve automation using AI and improved customer experience. This role applies industry-leading Agentic AI capabilities for creatively solve business problems in the Contact Center space. Data Scientists are also responsible for ensuring that developed codes are documented into a library of reusable algorithms. Based on the specific data science team, this role would need to be knowledgeable in one or more data science specializations, such as NLP, Conversational AI, Information Retrieval, Generative AI or search. 
As a Data Scientist, you will also be responsible for applying advanced analytics methods and algorithms for identifying trends and providing business solutions. This role is expected to present insights and recommendations to non-technical audiences and explain the benefits and impacts of the recommended solutions. In addition, Data Scientists collaborate with business partners and cross-functional teams, requiring effective communication skills, building relationships, and focus on understanding the overall business area being supported. 
Key Responsibilities:<ul><li>
55% Solution Development - Design and develop algorithms and models to use against large datasets to create business insights; Participates in large data analytics project teams by serving as a technical lead for analytics projects; May lead small projects and work independently on solution development; Execute tasks with high levels of efficiency and quality; Make appropriate selection, utilization and interpretation of advanced analytical methodologies</li><li>
20% Communicating Results - Effectively communicate insights and recommendations to both technical and non-technical leaders and business customers/partners; Present recommendations in a confident manner in order to influence execution of recommendation; Prepare reports, updates and/or presentations related to progress made on a project or solution; Clearly communicate impacts of recommendations to drive alignment and appropriate implementation</li><li>
10% Business Collaboration - Incorporate business knowledge into solution approach; Effectively develop trust and collaboration with internal customers and cross-functional teams; Work with project teams and business partners to determine project goals</li><li>
15% Technical Exploration &amp; Development - Seek further knowledge on key developments within data science, technical skill sets, and additional data sources; Participate in the continuous improvement of data science and analytics by developing replicable solutions (for example, codified data products, project documentation, process flowcharts) to ensure solutions are leveraged for future projects; Build and maintain library of reusable algorithms for future use, ensuring developed codes are documented</li></ul> 
Direct Manager/Direct Reports:<ul><li>
This position typically reports to Manager or above</li><li>
This position has 0 Direct Reports</li></ul> 
Travel Requirements:<ul><li>
Typically requires overnight travel less than 10% of the time.</li></ul> 
Physical Requirements:<ul><li>
Most of the time is spent sitting in a comfortable position and there is frequent opportunity to move about. On rare occasions there may be a need to move or lift light articles.</li></ul> 
Working Conditions:<ul><li>
Located in a comfortable indoor area. Any unpleasant conditions would be infrequent and not objectionable.</li></ul> 
Minimum Qualifications:<ul><li>
Must be eighteen years of age or older.</li><li>
Must be legally permitted to work in the United States.</li></ul> 
Preferred Qualifications:<ul><li>
Masters in a quantitative field (Computer Science, Math, Statistics, etc.) or equivalent work experience</li><li>
4+ years of industry experience in Machine Learning and AI (specifically Conversational AI)</li><li>
Prior background and experience in building Generative AI based solutions for industry is a plus</li><li>
Working knowledge of Microsoft Excel and Power Point</li><li>
Experience in a modern scripting language (preferably Python)</li><li>
Proficient running queries against data (preferably with Google BigQuery or SQL)</li><li>
Proficient utilizing statistical techniques to identify key insights that help solve business problems</li><li>
Knowledgeable in Prescriptive Modeling like optimization, computer vision, recommendation, search or NLP</li><li>
Demonstrated experience in Machine Learning, Conversational AI, predictive modeling, data mining and data analysis</li></ul> 
Minimum Education:<ul><li>
The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to the job.</li></ul> 
Preferred Education:<ul><li>
No additional education</li></ul> 
Minimum Years of Work Experience:<ul><li>
3</li></ul> 
Preferred Years of Work Experience:<ul><li>
No additional years of experience</li></ul> 
Minimum Leadership Experience:<ul><li>
None</li></ul> 
Preferred Leadership Experience:<ul><li>
None</li></ul> 
Certifications:<ul><li>
None</li></ul> 
Competencies:<ul><li>
Action Oriented: Taking on new opportunities and tough challenges with a sense of urgency, high energy, and enthusiasm</li><li>
Business Insight: Applying knowledge of the business and the marketplace to advance the organization's goals</li><li>
Collaborates: Building partnerships and working collaboratively with others to meet shared objectives</li><li>
Communicates Effectively: Developing and delivering multi-mode communications that convey a clear understanding of the unique needs of different audiences</li><li>
Customer Focus: Building strong customer relationships and delivering customer-centric solutions</li><li>
Drives Results: Consistently achieving results, even under tough circumstances</li><li>
Nimble Learning: Actively learning through experimentation when tackling new problems, using both successes and failures as learning fodder</li><li>
Optimizes Work Processes: Knowing the most efficient and effective processes to get things done, with a focus on continuous improvement</li><li>
Plans and Aligns: Planning and prioritizing work to meet commitments aligned with organizational goals</li><li>
Self-Development: Actively seeking new ways to grow and be challenged using both formal and informal development channels</li></ul></div>

Data Scientist, Contact Center AI

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