ai trainer lead remote

York Towers

<div>
 York Towers is the development arm of the York Holding Group. Through continuous research and the ability to predict emerging trends, the company keeps an edge over the market. Playing a leading role in driving the successful development and diversification of one of the most vital economic sectors, York Towers is committed to creating residential products across the country that provide residents with distinctive, universal, multicultural, and enriching lifestyles. York Towers is the exclusive developer of luxury real estate worldwide. The company aims to become a leading real estate player through an efficient business model and advanced technologies used for designing and construction. Since its establishment in 2016, York Towers has delivered 20 real estate properties and runs six dynamic projects. York Towers operates eight offices in five countries across three continents.
 
 
 About us:
 
 
 
 
 Dwelleo is an innovative
 
 
 PropTech platform transforming the Saudi Arabian real estate market
 
 
 through AI-powered insights, smart listings, and advanced digital solutions for developers, brokers, and property seekers. Our mission is to redefine the way properties are bought, sold, and rented in KSA through a seamless, intelligent digital ecosystem.
 
 
 
 As part of our growth, we are expanding our commercial team and are looking for a high-performing
 
 B2B Telesales Specialist
 
 
 to drive developer and broker onboarding across Saudi Arabia.
 
 
 
 
 
 
 
 Role Summary
 
 
 
 The
 
 B2B Telesales Specialist &ndash; Real Estate (KSA Market)
 
 will be responsible for driving outbound sales activities, onboarding real estate developers, brokerage firms, and individual brokers onto the Dwelleo platform. This is a high-impact revenue-generating role focused on pipeline development, closing onboarding deals, and growing Dwelleo&rsquo;s listing ecosystem across Saudi Arabia&mdash;fully remote from Egypt.
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 
 
 
 
 B2B Telesales &amp; Onboarding
 
 
 <ul>
 <li>
 Identify, target, and engage real estate developers, brokerage firms, and individual brokers across Saudi Arabia.
 </li>
 <li>
 Conduct high-volume outbound calls, virtual meetings, and follow-ups to convert leads into active partners.
 </li>
 <li>
 Present Dwelleo&rsquo;s platform, pricing packages, and AI-powered tools clearly and persuasively.
 </li>
 <li>
 Negotiate commercial terms, onboarding agreements, and listing packages in line with company policies.
 </li>
 <li>
 Manage the full sales cycle from lead generation to deal closure and onboarding activation.
 </li>
 <li>
 Maintain accurate records of activities, pipelines, and conversion data using CRM tools.
 
 
 </li>
 </ul>
 
 
 
 
 
 Client Relationship Management
 
 
 <ul>
 <li>
 Build strong long-term relationships with developers and brokers to ensure recurring listings.
 </li>
 <li>
 Act as the main point of contact during onboarding and early-stage activation.
 </li>
 <li>
 Ensure partners are fully trained and supported to maximize platform adoption and performance.
 
 
 </li>
 </ul>
 
 
 
 
 
 Market Awareness &amp; Growth Support
 
 
 <ul>
 <li>
 Monitor the Saudi real estate market and identify new business opportunities.
 </li>
 <li>
 Track competitors such as Property Finder, Bayut, Wasalt, and Aqaar.
 </li>
 <li>
 Share market feedback with Product and Marketing teams to improve positioning and performance.
 
 
 </li>
 </ul>
 
 
 
 
 
 Reporting &amp; Performance
 
 
 <ul>
 <li>
 Achieve monthly targets for onboarding volume, revenue, and active listings.
 </li>
 <li>
 Prepare weekly sales reports covering pipeline status, conversion rates, and market insights.
 </li>
 <li>
 Collaborate closely with Product, Marketing, and Operations teams for smooth deal execution.
 
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 
 
 
 Must-Have Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Business, Sales, Marketing, Real Estate, or a related field.
 </li>
 <li>
 2&ndash;4 years of experience in
 
 B2B sales, telesales, business development, or account management
 
 .
 </li>
 <li>
 Previous experience in
 
 PropTech, real estate platforms, SaaS, or digital marketplaces
 
 is highly preferred.
 </li>
 <li>
 Strong understanding of B2B sales with developers, brokers, or property owners.
 </li>
 <li>
 
 Fluent English is mandatory
 
 (spoken and written) for dealing with KSA clients and international stakeholders.
 </li>
 <li>
 Proven track record of achieving sales targets.
 </li>
 <li>
 Highly self-motivated and disciplined for remote work environments.
 
 
 </li>
 </ul>
 
 
 
 
 
 Preferred Qualifications
 
 
 <ul>
 <li>
 Experience working with or selling to the
 
 Saudi real estate market
 
 .
 </li>
 <li>
 Experience using CRM systems.
 </li>
 <li>
 Understanding of digital marketing, online listings, and lead generation.
 
 
 </li>
 </ul>
 
 
 
 
 
 Key Competencies
 
 
 <ul>
 <li>
 Strong persuasion, negotiation, and closing skills.
 </li>
 <li>
 Excellent relationship-building ability.
 </li>
 <li>
 Results-driven and target-oriented mindset.
 </li>
 <li>
 High level of professionalism and customer focus.
 </li>
 <li>
 Ability to thrive in a fast-paced, tech-driven startup environment.
 
 
 </li>
 </ul>
 
 
 
</div>

Telesales Specialist (B2B/B2C)

Alignerr

<div>
 
 About The Role
 
 
 
 What if the code you write could directly shape how the next generation of AI understands and generates software? We're looking for Software Engineers in Cairo to build, evaluate, and improve AI-generated code &mdash; helping train AI systems to think like real developers.
 
 
 You'll write solutions, review AI outputs, and provide the expert-level feedback that makes AI coding assistants smarter, safer, and more reliable. This is hands-on engineering work at the frontier of AI development &mdash; not theoretical, not bureaucratic, and not boring.
 
 
 This is a fully remote, flexible contract role. If you can write clean code and explain your reasoning, we want to hear from you.
 
 
 <ul>
 <li>
 Organization: Alignerr
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Write, debug, and optimize code across a range of languages, frameworks, and problem domains
 </li>
 <li>
 Review and evaluate AI-generated code for correctness, efficiency, readability, and best practices
 </li>
 <li>
 Identify bugs, logic errors, security issues, and performance bottlenecks in AI outputs
 </li>
 <li>
 Provide structured, detailed feedback explaining why code works &mdash; or doesn't
 </li>
 <li>
 Design challenging coding prompts and edge-case scenarios to stress-test AI capabilities
 </li>
 <li>
 Compare and rank multiple AI-generated solutions based on engineering quality
 </li>
 <li>
 Work independently and asynchronously &mdash; fully on your own schedule
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 Proficient in one or more programming languages (Python, JavaScript, Java, C++, Go, TypeScript, or similar)
 </li>
 <li>
 Solid understanding of data structures, algorithms, and software design principles
 </li>
 <li>
 Able to read, write, and reason about code with clarity and precision
 </li>
 <li>
 Strong problem-solving instincts and a systematic debugging approach
 </li>
 <li>
 Clear written communicator &mdash; you can explain technical decisions in plain language
 </li>
 <li>
 Self-motivated and reliable when working independently without supervision
 </li>
 <li>
 Bachelor's degree in Computer Science, Software Engineering, or a related field &mdash; or equivalent practical experience
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Experience across multiple languages or tech stacks (full-stack, backend, systems, data engineering)
 </li>
 <li>
 Familiarity with AI/ML concepts, LLMs, or prompt engineering
 </li>
 <li>
 Background in code review, technical writing, or mentoring junior developers
 </li>
 <li>
 Experience with cloud platforms, DevOps, or distributed systems
 </li>
 <li>
 Competitive programming, open-source contributions, or side projects that demonstrate your craft
 </li>
 <li>
 Advanced degree in Computer Science or related discipline
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects alongside leading research labs
 </li>
 <li>
 Fully remote and flexible &mdash; set your own hours and work from anywhere
 </li>
 <li>
 Freelance autonomy with intellectually stimulating, high-impact work
 </li>
 <li>
 Directly influence how AI writes, understands, and reasons about code
 </li>
 <li>
 Sharpen your own engineering skills by evaluating diverse problems daily
 </li>
 <li>
 Potential for ongoing work and contract extension as new projects launch
 </li>
 </ul>
</div>

Software Engineer (AI Training)

<div>
 
 Marketing Instructor (AI Training)
 
 
 
 
 About The Role
 
 
 
 We're looking for experienced marketing educators to help shape how AI understands branding, consumer behavior, and marketing strategy. Your real-world knowledge and teaching instincts will directly influence the quality of AI systems used by millions &mdash; making this one of the most impactful ways to apply your expertise right now.
 
 
 <ul>
 <li>
 Organization: Alignerr (Powered by Labelbox)
 </li>
 <li>
 Type: Hourly Contract
 </li>
 <li>
 Location: Remote
 </li>
 <li>
 Commitment: 10&ndash;40 hours/week
 
 
 </li>
 </ul>
 
 What You'll Do
 
 
 
 <ul>
 <li>
 Review and evaluate AI-generated marketing questions, scenarios, and strategic explanations used in model training
 </li>
 <li>
 Assess the quality of AI reasoning around brand positioning, messaging frameworks, and go-to-market strategy
 </li>
 <li>
 Provide clear, structured feedback that improves the accuracy and real-world relevance of AI outputs
 </li>
 <li>
 Apply your teaching experience to identify common misconceptions and gaps in marketing logic
 </li>
 <li>
 Work independently and asynchronously &mdash; on your schedule, at your pace
 
 
 </li>
 </ul>
 
 Who You Are
 
 
 
 <ul>
 <li>
 3+ years of experience teaching marketing at the postsecondary level
 </li>
 <li>
 Strong command of marketing strategy, consumer behavior, and business communication
 </li>
 <li>
 Able to critically evaluate written strategic reasoning and provide actionable feedback
 </li>
 <li>
 Detail-oriented, self-motivated, and comfortable working independently
 </li>
 <li>
 No prior AI experience required &mdash; we'll get you up to speed
 
 
 </li>
 </ul>
 
 Nice to Have
 
 
 
 <ul>
 <li>
 Master's degree in Marketing, Business, or a related field
 </li>
 <li>
 Hands-on industry experience in marketing, growth, or brand strategy
 </li>
 <li>
 Familiarity with AI tools or content evaluation workflows
 
 
 </li>
 </ul>
 
 Why Join Us
 
 
 
 <ul>
 <li>
 Work on cutting-edge AI projects with top research labs
 </li>
 <li>
 Fully remote and flexible &mdash; work when and where it suits you
 </li>
 <li>
 Freelance perks: autonomy, variety, and global collaboration
 </li>
 <li>
 Contribute to meaningful work that shapes how AI understands the business world
 </li>
 <li>
 Potential for ongoing work and contract extension
 </li>
 </ul>
</div>

Marketing Instructor

Vezloo

<div>
 We&rsquo;re looking for detail-oriented individuals to join our
 
 Video &amp; Image Annotation
 
 team. Your role will be to accurately tag and label objects, actions, or scenes within video and image files to support the development of AI models.
 
 
 RESPONSIBILITIES
 
 <ul>
 <li>
 Annotate videos and images using internal tools
 </li>
 <li>
 Tag people, objects, movements, or scenes based on project guidelines
 </li>
 <li>
 Ensure high precision and consistency in labeling
 </li>
 <li>
 Meet daily productivity targets
 </li>
 <li>
 Communicate with team leads to clarify requirements or report issues
 
 
 
 </li>
 </ul>
 
 REQUIREMENTS
 
 <ul>
 <li>
 Strong attention to detail
 </li>
 <li>
 Ability to follow strict guidelines and instructions
 </li>
 <li>
 Basic computer skills and familiarity with annotation platforms
 </li>
 <li>
 Reliable internet connection and a computer with good performance
 </li>
 <li>
 Previous annotation experience is a plus but not required
 
 
 
 </li>
 </ul>
 
 BENEFITS
 
 <ul>
 <li>
 Fully remote work
 </li>
 <li>
 Flexible hours
 </li>
 <li>
 Training provided
 </li>
 <li>
 Performance bonuses based on accuracy and output
 </li>
 <li>
 Opportunity to work on global AI development projects
 
 
 </li>
 </ul>
</div>

Video & Image Annotation Specialist

Systems Limited - Egypt

<div>
 
 
 About the Role:
 
 
 
 We are seeking a highly skilled
 
 Technical Product Owner
 
 with deep expertise in
 
 Data &amp; AI
 
 to lead the development of innovative data-driven products and AI solutions. You will bridge the gap between business stakeholders and engineering teams, ensuring that our data initiatives align with strategic objectives and deliver measurable impact.
 
 
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Act as the
 
 Product Owner
 
 for Data &amp; AI initiatives, managing the
 
 product backlog
 
 , prioritizing features, and defining user stories.
 </li>
 <li>
 Collaborate closely with
 
 Data Engineers, Data Scientists, and AI teams
 
 to translate business requirements into technical solutions.
 </li>
 <li>
 Drive the
 
 end-to-end lifecycle
 
 of AI/ML and data products, from ideation and requirements gathering to deployment and monitoring.
 </li>
 <li>
 Ensure alignment of data strategies with
 
 business objectives
 
 , including analytics, predictive modeling, and AI use cases.
 </li>
 <li>
 Define
 
 technical product roadmaps
 
 and drive adoption of best practices in data architecture, governance, and AI deployment.
 </li>
 <li>
 Collaborate with
 
 stakeholders
 
 to understand their needs and translate them into actionable features.
 </li>
 <li>
 Measure product performance using relevant KPIs and iterate on features for continuous improvement.
 </li>
 <li>
 Stay abreast of the
 
 latest trends in AI, machine learning, and data technologies
 
 , evaluating opportunities for innovation.
 </li>
 </ul>
 
 
 
 
 
 Required Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in
 
 Computer Science, Data Science, AI, Engineering, or related field
 
 .
 </li>
 <li>
 3_4 Proven experience as a
 
 Technical Product Owner
 
 in
 
 data-intensive or AI-focused projects
 
 .
 </li>
 <li>
 Strong understanding of
 
 data engineering, AI/ML models, data pipelines, cloud data platforms (AWS, Azure, GCP)
 
 .
 </li>
 <li>
 Experience with
 
 analytics, AI/ML frameworks (TensorFlow, PyTorch, scikit-learn), and data visualization tools
 
 .
 </li>
 <li>
 Solid knowledge of
 
 agile methodologies
 
 , backlog management, and working with cross-functional teams.
 </li>
 <li>
 Excellent
 
 communication skills
 
 to bridge technical and business conversations.
 </li>
 <li>
 Strong problem-solving skills and the ability to make
 
 data-driven product decisions.
 
 </li>
 </ul>
 
 
 
</div>

Technical Product Owner – Data & AI

Valeo

<div>
 Responsibilities Cross-Disciplinary Automation
 
 :
 
 Design and implement AI workflows that bridge the gap between Systems Engineering and downstream disciplines (HW, SW, Mech) to ensure seamless requirements traceability and consistency.
 
 
 Physics-Informed Modeling: Develop and deploy Physics-Informed Machine Learning (PIML) models to accelerate simulations in Mechanics and Electrotechnique.
 
 
 
 AI-Enhanced System Engineering
 
 : Integrate AI-assisted coding, automated unit testing, and bug prediction tools into the software development pipeline in compliance with ASPICE standards.
 
 
 
 Predictive Project Management
 
 : Build predictive analytics dashboards for Technical Project Managers to forecast resource bottlenecks, budget risks, and milestone delays using historical project data.
 
 
 
 Standards &amp; Compliance:
 
 Ensure all AI-automated processes and generated outputs adhere to ISO 26262 (Functional Safety) and ISO/SAE 21434 (Cybersecurity) requirements.
 
 
 
 Toolchain Integration
 
 : Lead the integration of AI agents with existing toolchains, including PLM, ALM (Codebeamer), and MATLAB/Simulink.
 
 
 Key competencies
 
 Technical Skills
 
 
 
 AI and Machine Learning
 
 
 <ul>
 <li>
 Generative AI &amp; LLMs
 </li>
 <li>
 Predictive Modeling
 </li>
 <li>
 Computer Vision
 
 
 </li>
 </ul>
 Data Engineering and Management
 
 
 <ul>
 <li>
 Data Pipeline Construction: Automating the flow of data into AI models.
 </li>
 <li>
 Data Quality Assurance: Cleaning and labeling datasets to ensure the AI isn't learning from "noise."
 
 
 </li>
 </ul>
 
 Process Automation &amp; Integration (MLOps)
 
 
 
 <ul>
 <li>
 Workflow Orchestration: Using tools to connect AI outputs to other R&amp;D software (like ELNs or LIMS).
 </li>
 <li>
 Deployment: Ensuring the AI tools are accessible via user-friendly interfaces.
 
 
 </li>
 </ul>
 
 Programming &amp; Scripting
 
 
 
 <ul>
 <li>
 Python
 </li>
 <li>
 Javascript / Google Apps Script
 </li>
 <li>
 Google Docs / Sheets functions &amp; automation
 </li>
 <li>
 HTTP rest API's
 
 
 </li>
 </ul>
 Tooling &amp; ALM: ( Plus Knowledge)
 
 
 <ul>
 <li>
 Codebeamer (Requirement Management Tool)
 </li>
 <li>
 Google Cloud Platform
 
 
 </li>
 </ul>
 Automation &amp; Integration concepts
 
 
 <ul>
 <li>
 AI &amp; Data Handling:
 </li>
 <li>
 Basic to intermediate experience with AI tools, APIs, or AI agents
 </li>
 <li>
 Interest in applying AI to engineering processes
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Strong communication and collaboration skills, including ability to translate technical AI capabilities into tangible benefits for the teams
 </li>
 <li>
 Ability to work autonomously and proactively
 </li>
 <li>
 Analytical mindset with strong problem-solving skills
 </li>
 <li>
 User-oriented mindset (training, support, feedback handling)
 </li>
 <li>
 Time Managment
 
 
 </li>
 </ul>
 Nice to Have
 
 
 Experience with requirement traceability or compliance activities
 
 
 Exposure to AI-assisted automation or low-code/no-code platforms
 
 
 Physics-Informed Machine Learning (PIML)
 
 
 Predictive Project Analytics
 
 
 Understanding of system engineering lifecycle and deliverables
 
 
 
 Aware About Automotive Industry And Embedded Systems.
 
 
 
 Years of Experience 2 to 3 years experience in AI &amp; tools development
</div>

System Design Engineer - AI & Automation, LIGHT

Procore Technologies

<div>
 We&rsquo;re looking for a
 
 Staff Software Engineer - Agentic Foundation
 
 to join Procore&rsquo;s Product &amp; Technology Team. The Agentic Foundation team treats AI adoption as an internal product, building and operating the tooling, frameworks, and services that make AI-native workflows the default across Procore's software development lifecycle. This position requires developer productivity experience to achieve high velocity without compromising on quality in this critical functional domain.
 
 
 Procore software solutions aim to improve the lives of everyone in construction and the people within Product &amp; Technology are the driving force behind our innovative, top-rated global platform. We&rsquo;re a customer-centric group that encompasses engineering, product, product design and data, security and business systems.
 
 
 This role reports to a Senior Manager, Software Engineering and we&rsquo;re looking for someone to join us immediately.
 
 Apply now!
 
 
 
 
 
 What you&rsquo;ll do:
 
 
 
 
 <ul>
 <li>
 AI is central to how we work. You&rsquo;ll be expected to master generative tools and agentic workflows, moving beyond just using AI to actively building the agentic future of construction
 </li>
 <li>
 Own the technical vision and architectural strategy for Procore's agentic developer platform &mdash; setting the direction for how AI is integrated natively across the full software development lifecycle, from code generation and review through testing, deployment, and observability.
 </li>
 <li>
 Author and drive adoption of architectural RFCs and technical design documents that establish org-wide platform contracts, integration patterns, and engineering standards for teams you don't directly work with.
 </li>
 <li>
 Conduct thorough, constructive code reviews and pair with teammates to elevate code quality and knowledge-sharing across the team.
 </li>
 <li>
 Anticipate second- and third-order consequences of platform decisions; design systems that remain extensible as Procore's agentic capabilities evolve.
 </li>
 <li>
 Collaborate with infrastructure, platform, and product engineering teams to align on shared standards and avoid duplicated effort.
 </li>
 <li>
 Bring strong opinions, loosely held &mdash; propose ideas clearly, pressure-test them with the team, and adapt based on feedback.
 </li>
 <li>
 Establish and champion engineering standards, best practices, and platform contracts that allow hundreds of development teams to ship safely at high velocity.
 </li>
 <li>
 Focus on metrics and observability: We intend to become an elite performer in the software industry, and we can only do this if we learn and adapt quickly. We need telemetry from our agentic software delivery systems from which to continually learn how to improve our lead time for changes, our change failure rate, and our mean time to recover from failure.
 
 
 </li>
 </ul>
 
 
 What we&rsquo;re looking for:
 
 
 
 
 <ul>
 <li>
 8+ years of professional software engineering experience, with demonstrated depth in full-stack development and backend systems.
 </li>
 <li>
 Proven proficiency with AI-native developer tooling &mdash; you have integrated LLM-powered systems into engineering workflows (code review, test generation, agentic pipelines, or similar) and can lead Procore's strategy in this space from day one.
 </li>
 <li>
 Experience building or integrating AI-native developer tooling &mdash; LLM-assisted code review, agentic test generation, AI-powered incident triage, or similar.
 </li>
 <li>
 Experience with LLM evaluation frameworks (benchmarks, evals, quality scoring) for assessing tool effectiveness.
 </li>
 <li>
 Experience building MCPs, MCP Gateway, or AI/LLM Gateways.
 </li>
 <li>
 Familiarity of how AI Agents and LLMs work under the hood.
 </li>
 <li>
 Experience working in Developer Platform, DevOps or Developer Experience teams.
 </li>
 <li>
 Strong fundamentals in at least one of: Ruby on Rails, Python or TypeScript; comfort reading and contributing across multiple languages.
 </li>
 <li>
 Solid DevOps instincts: you understand deployment strategies, rollback mechanisms, feature flags, and what 'safe to deploy' actually means in a high-scale environment.
 </li>
 <li>
 Expert-level fluency in software delivery observability: DORA metrics, distributed tracing, SLO/SLA design, and building feedback loops that drive measurable improvement.
 </li>
 <li>
 Track record of mentoring senior engineers and raising the technical bar of those around you &mdash; not just executing at a high level yourself.
 </li>
 <li>
 Comfort navigating organizational ambiguity: you can drive clarity, build consensus, and maintain momentum on long-horizon initiatives without close direction.
 </li>
 </ul>
</div>

Staff Software Engineer - Agentic Foundation

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